Skip to main content
Download PDF

iPSC-derived cells lack immune tolerance to autologous NK-cells due to imbalance in ligands for activating and inhibitory NK-cell receptors

Stem Cell Research & Therapy volume 14, Article number: 77 (2023) Cite this article

Abstract

Background

Dozens of transplants generated from pluripotent stem cells are currently in clinical trials. The creation of patient-specific iPSCs makes personalized therapy possible due to their main advantage of immunotolerance. However, some reports have claimed recently that aberrant gene expression followed by proteome alterations and neoantigen formation can result in iPSCs recognition by autologous T-cells. Meanwhile, the possibility of NK-cell activation has not been previously considered. This study focused on the comparison of autologous and allogeneic immune response to iPSC-derived cells and isogeneic parental somatic cells used for reprogramming.

Methods

We established an isogeneic cell model consisting of parental dermal fibroblasts, fibroblast-like iPSC-derivatives (iPS-fibro) and iPS-fibro lacking beta-2-microglobulin (B2M). Using the cells obtained from two patients, we analyzed the activation of autologous and allogeneic T-lymphocytes and NK-cells co-cultured with target cells.

Results

Here we report that cells differentiated from iPSCs can be recognized by NK-cells rather than by autologous T-cells. We observed that iPS-fibro elicited a high level of NK-cell degranulation and cytotoxicity, while isogeneic parental skin fibroblasts used to obtain iPSCs barely triggered an NK-cell response. iPSC-derivatives with B2M knockout did not cause an additional increase in NK-cell activation, although they were devoid of HLA-I, the major inhibitory molecules for NK-cells. Transcriptome analysis revealed a significant imbalance of ligands for activating and inhibitory NK-cell receptors in iPS-fibro. Compared to parental fibroblasts, iPSC-derivatives had a reduced expression of HLA-I simultaneously with an increased gene expression of major activating ligands, such as MICA, NECTIN2, and PVR. The lack of inhibitory signals might be due to insufficient maturity of cells differentiated from iPSCs. In addition, we showed that pretreatment of iPS-fibro with proinflammatory cytokine IFNγ restored the ligand imbalance, thereby reducing the degranulation and cytotoxicity of NK-cells.

Conclusion

In summary, we showed that iPSC-derived cells can be sensitive to the cytotoxic potential of autologous NK-cells regardless of HLA-I status. Thus, the balance of ligands for NK-cell receptors should be considered prior to iPSC-based cell therapies.

Trial registration Not applicable.

Background

The recent progress in the field of human pluripotent stem cells (hPSCs) [1, 2] and advances in organ bioengineering [3, 4] demonstrate significant potential for the development of regenerative medicine. The induced pluripotent stem cells (iPSCs) and embryonic stem cells (ESCs) both have the potential to differentiate into all cell types in the body, and this gives great hope for solving the problem of the shortage of donor organs [5]. According to clinicaltrials.gov, more than 50 clinical studies on hPSCs are being conducted. While most of them are performed with ESC-derived cell products, the number of iPSC-based studies has significantly increased in the last few years [6].

One of major barriers to integrating hPSCs into the clinic is its high cost. According to a recent estimate, the derivation of a clinical grade iPSCs line costs approximately US $800,000 [7]. The long time required to obtain a new iPSCs line, as well as to differentiate it into the desired cell type, is also worthy of emphasis [8]. Additionally, there are currently no clearly developed standardization parameters that would be applied to clinical-grade hPSCs [9] and their differentiated derivatives [10]. Thus, cell products derived from only five well-characterized ESCs lines were used in almost half of hPSC-based studies [9]. In this regard, standardized hPSC-derivatives are currently considered as the preferred source of cells for replacement therapy.

Despite the obvious economic advantages regarding the production and "scaling-up" of allogeneic hPSC-derivatives, the issue of immune rejection remains unresolved. As such, after transplantation of allogeneic hPSC-derivatives, patients must undergo lifelong immunosuppressive treatment, along with its associated side effects [10]. An alternative way to reduce the rejection of an allotransplant is creating an immunoengineered hPSCs devoid of major immune antigens that trigger immune responses [11]. Such hypoimmunogenic cells will be “universal,” meaning that they would be theoretically suitable for any recipient [12, 13]. The diversity of the HLA phenotypes is the main reason for histoincompatibility. As such, HLA-editing is the most common approach to creating hypoimmunogenic hPSCs lines, with the most common modification—the knockout of a light chain of HLA-I dimer encoded by the beta-2-microglobulin (B2M) gene [14,15,16,17,18,19,20,21]. In some studies, individual genes of the HLA-I locus were edited [22,23,24,25]. As a result, HLA-deficient cells evoked a blunted allogeneic T-cell response in recipients [13, 14, 26]. In addition, several reports described the double knockout of the B2M gene and the CIITA gene coding class II major histocompatibility complex transactivator [27,28,29,30,31]. The latest is essential for HLA-II expression. Since HLA class II molecules are expressed by a limited type of cells, mostly antigen-presenting cells, the CIITA deficiency reduces the responses of allogeneic CD4+ T-cells and could be beneficial for the transplantation of vascularized organs [32].

On the other hand, the absence of HLA-I molecules can trigger increased NK-cell lysis in recipients [12,13,14, 26]. The conventional “missing-self” hypothesis proposes that NK-cells recognize and eliminate all cells lacking HLA class I molecules [33]. The modern view of this theory is more complex and involves the interaction between a diversity of activating and inhibitory receptors on NK-cells [34]. The integration of both activating and inhibitory signals coming from the corresponding receptors regulates NK-cell activity. A preponderance in one direction or another leads to a change of the functional behavior of NK-cells. Therefore, it is possible to manipulate NK-cell responses by shifting the balance toward their inhibition. Among the strategies for escaping the immune attack mediated by NK-cells, the ectopic expression of the immunomodulation molecules such as HLA-E [31, 35], HLA-G [18, 23], and CD47 molecules [23, 28] was examined. Additional suppression of NK-cell activity can be achieved by the inactivation of NK-cell activating receptors [31].

Immune evasion reduces the risk of rejection of allogeneic hPSC-derivatives but weakens the host's defense against the possible oncogenic transformation of cells in the graft [36]. Moreover, the biosafety and effectiveness of "universal" cell lines have yet to be proven. Finally, the role of HLA molecules is essential in the efficient immune response to virus-infected cells [37].

Autologous iPSCs and their derivatives were initially perceived as immunologically tolerant [38]. Surprisingly, some reports pointed to the immune response toward syngeneic and autologous iPSC-derivatives. Zhao et al. revealed T-cell infiltration zones in teratomas formed in mice by syngeneic iPSCs but not ESCs [39]. In the humanized mouse model, teratomas from autologous iPSCs had signs of lymphocytic infiltration and necrosis [40]. It was assumed that neoepitopes that can arise during reprogramming triggered the immune response to autologous iPSC-derived cells [41]. For instance, de novo mutations in mitochondrial DNA in iPSCs produced immunogenic neoepitopes in mice [42]. Thus, there are reports that autologous iPSC-derived cells are recognized by the immune system, although such reports are not numerous.

The goal of our study was to address the question whether autological T-cells and NK-cells recognize the differentiated derivatives of iPSCs as “self.” We established an isogenic cell model: dermal fibroblasts, iPSC-derived fibroblast-like cells (iPS-fibro), and iPS-fibro with the knockout of the B2M gene (ΔiPS-fibro). Using this model, we compared in vitro activation of allogeneic and autologous immune cells. It is worth noting that our study was made possible because we had the rare opportunity to obtain iPSCs from healthy donors who also agreed to periodically donate small amounts of peripheral blood to obtain autologous lymphocytes.

The scheme summarizing the approaches used in this study is illustrated in Fig. 1A. Here we report that cells differentiated from iPSCs provoked degranulation of allogeneic and autologous NK-cells regardless of HLA-I expression in target cells. In addition, we demonstrate that iPSC-derivatives had an improper balance of ligands for NK-cells receptors which led to the activation of NK-cells. IFNγ treatment tipped the balance and reduced NK-cell-mediated cytotoxicity toward iPSC-derived cells.

Fig. 1
figure 1

Construction of the isogenic cell model. A Schematic illustration of approaches used in this study. B Schematic illustration of gRNA target site in B2M gene and deletions in B2M alleles in ΔiPSC-B. C Flow cytometry analysis of B2M and HLA-ABC expression in iPSC-B and ΔiPSC-B with and without IFNγ-treatment. D Schematic diagram of the experimental protocol for iPS-fibro differentiation. E Morphology of fibroblasts and iPS-fibro (Scale bars, 50 μm). H Representative flow cytometry analysis of CD73, CD90, and CD105 (fibroblast markers) expression in iPS-fibro-B and ΔiPS-fibro-B

Full size image

Methods

Cell culture

Human dermal fibroblasts and iPS-fibro were maintained in F3 medium containing DMEM medium (PanEco) supplemented with 10% FBS (Gibco), and 5 ng/ml bFGF (Miltenyi Biotec). The culture medium was replaced twice a week. A detailed description of fibroblast isolation procedure from skin biopsy is provided in Additional File 1.

Human iPSCs were generated from dermal fibroblasts of two healthy donors using the CytoTune™-iPS 2.0 Sendai Reprogramming Kit (ThermoFisher Scientific). The protocol for the generation of iPSCs is provided in Additional File 1. iPSCs were routinely maintained on Matrigel-coated (Corning) plates in Essential 8™ medium (Gibco). Cells were passaged with 0.05% Trypsin–EDTA solution (Gibco) and plated at 10–15% confluency in fresh Essential 8™ medium supplemented with 5 μM of ROCK inhibitor Y-27632 (Miltenyi Biotec). The culture medium was replaced daily.

CRISPR/Cas9 gene editing of B2M gene

Guide RNA (gRNA) GAGTAGCGCGAGCACAGCTA targeting exon 1 of B2M gene was designed with CRISPOR [43] and cloned into a PX458 plasmid (Addgene #48138). iPSCs were transfected with TransIT®-LT1 Transfection Reagent (MirusBio) according to the manufacturer’s protocol. On day 2 after transfection, GFP-positive iPSCs were sorted by FACSMelody (BD Biosciences) and 2 × 104 cells were seeded into Matrigel-coated 35 mm culture dishes in Essential 8™ + 10 μM Y27632 medium. On day 12 after transfection, single cell clones of potential B2M KO iPSCs were picked up manually and transferred to a 48-well plate for clonal expansion. On day 17 after transfection, we selected HLA-I negative iPSCs clones, and the lack of B2M and HLA-I expression was confirmed by flow cytometry. On-target genome editing of B2M gene was verified by Sanger sequencing. The fragments spanning the targeted region generated in PCR amplification were cloned into pAL2-T vector using Quick-TA kit (Evrogen). Recombinant plasmids from individual bacterial clones were then sequenced with M13 standard primers. Characterization of iPSCs was performed as described previously [44] with modest modifications (see Additional file 1).

iPS-fibro differentiation from iPSCs

To differentiate iPSCs into iPS-fibro, we modified a previously reported protocol [45]. 3D-spheroids were formed from iPSCs suspension using AggreWell™800 24-well plates (STEMCELL Technologies Inc) according to the manufacturer's instructions. The next day, 3D spheroids were harvested into F1 medium containing 3/1 DMEM/F12 (Gibco), 5% FBS (Gibco), 0,1 μg/ml hydrocortisone (Gedeon Richter Ltd), 10 ng/ml EGF (Miltenyi Biotec) and 5 μg/ml insulin (Sigma). Further cultivation was carried out in special homemade mini-bioreactors [46] on an orbital shaker (70 rpm). From day 4, 2 ng/ml BMP-4 (R&D Systems) were added to the F1 medium. On day 8, the medium was shifted to the F3 medium. Onwards, the medium was changed every three days. On day 14, 3D spheroids were collected and plated on Matrigel-coated plates. In the next few days, 3D spheroids tightly adhered to the substrate, and the active migration of fibroblast-like derivatives was observed. From day 23, depending on the migration rate, iPS-fibro were dissociated with 0.25% Trypsin–EDTA solution (Gibco) and plated at the ratio of 1:4 in fresh F3 medium.

Flow cytometry

Cells were harvested using Trypsin–EDTA (0.05 or 0.25%) to obtain single-cell suspensions. The staining and washing steps were performed in dPBS supplemented with 2% FBS. Cells were incubated with 100 μl diluted antibodies for 15 min at RT. After adding DAPI staining solution, the samples were analyzed on NovoCyte Flow Cytometer. All antibodies used in this study are listed in Additional file 1: Table S1.

CD8+ T-cells and NK-cells isolation

PBMCs were isolated from buffy coats or whole blood using density gradient separation. CD8+ T-cells were isolated from fresh or thawed PBMCs using CD8 MicroBeads (Miltenyi Biotec) according to the manufacturer's protocol. NK-cells were sequentially isolated from the unlabeled cell fraction—CD8-depleted PBMC using NK-Cell Isolation Kit (Miltenyi Biotec). Lymphocytes were plated in X-VIVO 15 Medium (Lonza) at 2 mln/ml. A day before immunological tests, CD8+ T-cells and NK-cells were pre-activated using 500 U/ml IL-2 (Biotec).

T-cell activation assay

75 × 103 target cells were seeded into 48-well plates. All samples were set up in triplicate. The next day 105 effector CD8+ T-cells were added to each sample well in 500 μl X-VIVO 15 medium supplemented with 4% heat-inactivated FBS and 100 U/ml IL-2. Cells were co-cultured for 7 days, then the percentage of CD69-expressing T-cells was measured by flow cytometry. Unstimulated CD8 + T-cells were used as a negative control. Day 7 for T-cell activation assay was chosen based on preliminary time-course experiment (Additional file 2: Fig. S1).

NK-cell degranulation assay

5 × 104 target cells at passages 4–7 (unless otherwise is specified) were seeded in flat-bottom 96-well plates. All samples were set up in triplicate. The next day 7 × 104 NK-cells were added to each sample well in 70 μl X-VIVO 15 medium supplemented with antibodies against CD56 and LAMP-1 (CD107a). Immediately after NK-cells were added into the sample wells, the plates were centrifuged at 350 g for 5 min. Cells were co-cultured for 4 h, then the percentage of CD107a-expressing NK-cells was measured by flow cytometry. NK-cells co-cultured with cell line K562 was used as a reference positive control and unstimulated NK-cells were used as a negative control.

NK-cell mediated cytotoxicity assay

2.5 × 104 target cells at passages 4–6 were seeded in 96-well flat bottom plates. The next day NK-cells were added in 200 μl LDH medium at the indicated effector/target ratios and incubated for 4 h at 37 °C. Then 100 μl supernatants were collected and analyzed by Cytotoxicity Detection Kit (LDH) (Roche) following the manufacturer’s instructions. LDH medium (RPMI 1640 Medium, no phenol red (Gibco) supplemented with 1% HI-FBS) was used as background control. Target cells cultured alone, and unstimulated NK-cells were used as controls for spontaneous LDH release. Lysed with 1% Triton-100 (Ferak Berlin) target cells at endpoint were used as maximum LDH release. All group samples were set up in triplicate. NK-cell cytotoxicity was calculated as follows:

$${\text{cytotoxicity}}, \% = \frac{{\left[ {{\text{effector:}}\;{\text{target}}\;{\text{cell}}\;{\text{mix}}} \right] - \left[ {{\text{effector}}\;{\text{cell}}\;{\text{control}}} \right] - [{\text{target}}\;{\text{spontaneous }}\;{\text{release}}]}}{{\left[ {{\text{target}}\;{\text{maximum }}\;{\text{release}}} \right] - [{\text{target }}\;{\text{spontaneous}}\;{\text{release}}]}}$$

RNA isolation and NGS library preparation

Total RNA was isolated using RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions. The on-column DNase treatment was performed with RNase-Free DNase Set (Qiagen). RNA quality was validated using 2100 bioanalyzer (Agilent Technologies). Enrichment of polyadenylated RNA and library preparation was performed with NEBNext Ultra II Directional RNA Library Prep Kit (NEB) according to the manufacturer’s protocol. The library underwent a final cleanup using the Agencourt AMPure XP system (Beckman Coulter) after which the libraries’ size distribution and quality were assessed using a high sensitivity DNA chip (Agilent Technologies). Libraries were subsequently quantified by Quant-iT DNA Assay Kit, High Sensitivity (ThermoFisher). Samples were sequenced on NextSeq 500 System (Illumina) with NextSeq 500/550 High Output Kit v2.5 (75 Cycles).

Analysis of RNA-seq data

For all samples, raw sequencing data was trimmed for the adaptor sequence and quality control with “Trim Galore” (v.0.5.0). Trimmed RNAseq reads were aligned against the Homo Sapiens GRCh38.13 genome annotation at the transcript level using “Salmon” software (v. 1.4). Next, results were aggregated to gene level using the “R” package “tximport.” Datasets were filtered to remove rows with only a single count across all samples and differentially expressed genes were identified using the “R” package “DESeq2.” “R” packages “FactoMineR” and “ggplot2” were used for PCA analysis and data visualization, respectively. For functional annotation of differentially expressed genes, we used the “topGo” package in “R.” A p-value correction for multiple testing was made using an FDR method, and the cut-off threshold was 0.05. Also, we performed GSEA enrichment analysis using “msigdbr” and “clusterprofiler” packages in “R” against the hallmark pathway gene set from the Molecular Signatures Database (MSigDB). The raw sequence data and processed data have been submitted to NCBI Gene Expression Omnibus (GEO) data repository with accession number GSE212796.

Analysis of public RNA-seq data

Published unprocessed RNA-Seq samples of fibroblasts reprogrammed to iPSCs, iPSCs, and iPSC-derived fibroblast-like cells were downloaded from the NCBI GEO data repository (accession numbers GSE61390, GSE62772, GSE73211). Gene expression levels and differential expressed genes for each dataset were calculated in the same way as the RNA-seq data we derived. Pearson correlation coefficients were calculated from DESeq2 normalized counts and plotted using the “corrplot” package in “R.” The relationship between samples was also assessed by principal component analysis of DESeq2 rlog-transformed counts using “R” package “FactoMineR” and the expression heatmap was generated using “R” package “pheatmap.” The overlap between differentially expressed genes identified from all datasets has been estimated using “R” package “UpSetR.”

Real-time RT-PCR

cDNA synthesis was performed using MMLV RT-kit (Evrogen). qPCR was performed using qPCRmix-HS SYBR (Evrogen) with gene-specific primers (Additional file 1: Table S2) in CFX96 Touch Real-Time PCR Detection System (Bio-Rad). mRNA expression was normalized to the housekeeping gene GAPDH. All group samples were set up in triplicate.

Statistical analysis

Statistical analysis was performed with Prism 9.3.1 software (GraphPad). All data shown in the study are presented as mean ± S.E.M. Statistical significance was determined by ordinary one-way, repeated measures (RM) one-way or two-way ANOVA tests followed by Tukey’s multiple comparison test. Differences were considered significant at p < 0.05.

Results

Generation of iPS-fibro and ΔiPS-fibro

Dermal fibroblasts of donors A and B (48- and 26-years old females, respectively) were reprogrammed into iPSCs using the delivery of Yamanaka’s factors by integration-free Sendai virus. We obtained the iPSCs cell lines IPSFF1S and IPSFD4S for donors A and B, respectively. In this paper, we use designations according to the donor: iPSC-A and iPSC-B. The iPSC-A and iPSC-B were characterized according to standard criteria [20, 47]. Using CRISPR/Cas9 genome editing for the B2M gene knockout, we obtained ΔiPSC-A and ΔiPSC-B lines lacking HLA-I expression. A detailed description of ΔiPSC-A was previously published [20]. The iPSC-A and its subclone ΔiPSC-A are registered in hPSCreg database [48]. The ΔiPSC-B was derived upon the same procedure described briefly below.

For CRISPR-Cas9 genome editing, we used the PX458 vector [49] with a gRNA targeting the first exon of the B2M gene, which encodes a signal peptide of the B2M protein. A schematic illustration of the gRNA-targeted sequence of the human B2M gene is shown in Fig. 1B. After the cell sorting, selected clones were analyzed for B2M and HLA-I expression by flow cytometry. Expression of B2M and HLA-ABC was not detected in ΔiPSC-B even after IFNγ treatment, confirming that the functional knockout of the B2M gene led to a complete deficiency of HLA-I proteins on the cell surface (Fig. 1C). In addition, B2M knockout in ΔiPSC-B was validated by Sanger sequencing. We revealed deletions of 11 bp and 2 bp in alleles of the B2M gene in ΔiPSC-B, both causing a frameshift mutation (Fig. 1B). ΔiPSC-B displayed typical pluripotent stem cell morphology and maintained normal karyotype 46, XX (Additional file 2: Fig. S2D). They expressed key markers for pluripotency in nuclei (OCT4, SOX2, NANOG) and cell surface (SSEA-4, TRA-1–60) (Additional file 2: Figs. S2A, S2C, S3). Upon spontaneous in vitro differentiation, ΔiPSC-B derivatives displayed markers of all three germ layers, i.e., ectoderm (CK18), mesoderm (CD31), and endoderm (HNF4A) (Additional file 2: Fig. S2B). Thus, ΔiPSC-B maintained pluripotency after genome editing.

The wild-type iPSCs and ΔiPSCs were differentiated into fibroblast-like cells (iPS-fibro and ΔiPS-fibro) through the stage of 3D spheroids. The main inductors of differentiation were EGF, BPM-4 and bFGF. The differentiation protocol is shown in Fig. 1D. In brief, 3D spheroids formed from iPSCs were cultured in a dynamic suspension for 14 days. They were then transferred to Matrigel-coated plates, where cells migrated, forming a monolayer. The differentiated cells had fibroblast-like morphology (Fig. 1E) and expressed markers specific for fibroblasts: CD73 (ecto-5'-nucleotidase), CD90 (Thy-1), and CD105 (endoglin) (Fig. 1F). Neither B2M nor HLA-ABC expression was detected in ΔiPS-fibro-A and ΔiPS-fibro- B (Additional file 2: Fig. S2E).

iPSC-derivatives did not elicit increased T-cell responses compared with somatic cells

First, we compared allogeneic and autologous T-cell responses promoted by isogenic dermal fibroblasts and iPS-fibro of donors A and B. Upon co-cultivation, a 2.5 times higher percentage of allogeneic compared to autologous T-lymphocytes upregulated surface CD69, regardless of whether primary fibroblasts or iPS-fibro were used as targets (Fig. 2A). A similar T-cell activation level against fibroblasts and iPS-fibro was also observed for autologous T-cells (Fig. 2A). These results indicate that possible immunopeptidome discrepancies caused by reprogramming and culture procedures did not elicit broad memory T-cell responses in both autologous and allogenic models.

Fig. 2
figure 2

In vitro T-cell activity against dermal fibroblasts and isogenic iPSC-derivatives. A The allogenic T-cells (N = 9) co-cultured with isogenic dermal fibroblasts or iPS-fibro demonstrated increased expression of activation marker CD69 compared to autologous T-lymphocytes. The bars represent the mean ± SEM. **P < 0.01; ***P < 0.001; two-way ANOVA. B Number of allogenic CD69+ T-cells (N = 9) was greatly reduced against ΔiPS-fibro. The bars represent the mean ± SEM. The dots represent independent experiments with each donor's T-cells performed in triplicates. ***P < 0.001; RM one-way ANOVA. C Representative flow-cytometry plots illustrate CD69 expression for T-lymphocytes of an allogenic donor. T-cells cultured without target cell were used as negative control

Full size image

In addition, we showed that the absence of foreign HLA class I molecules reduced the activation of allogeneic T-cells against ΔiPS-fibro (Fig. 2B). Meanwhile, as we expected, the absence of “self” HLA class I molecules did not affect the immune response of autologous T-lymphocytes (Fig. 2A). Moreover, for ΔiPS-fibro, we did not observe a difference in the activation of autologous or allogeneic effector cells (Fig. 2A). This data proves that manipulating HLA expression in hPSCs can lead to the immunological tolerance of hPSC-derivatives to allogeneic T-cells.

iPSC-derivatives were vulnerable to NK-cell degranulation and cytotoxicity regardless of HLA-I status

Next, we examined NK-cell immune responses to isogenic dermal fibroblasts and iPSC-derivatives. In the analysis of T-cell activity, we observed low variation among donors in the expression of the CD69 activation marker (Fig. 2B). The low variation allowed for the direct comparison of CD69+ T-cells activated by co-culturing with analyzed cells. On the contrary, in the CD107a mobilization assay, we observed substantial variation among different donors in the number of degranulated NK-cells (Additional file 2: Fig. S4A). Furthermore, considerable variation was also observed in independent experiments with NK-cells from the same donor (Additional file 2: Fig. S4B). Therefore, we introduced the degranulation index calculated as a ratio of the number of CD107a+ NK-cells to the number of CD107a+ NK-cells co-cultured with the positive control’s K562 cells:

$${\text{Degranulation }}\;{\text{index = }}\frac{{{\text{CD107a}}^{ + } \;{\text{NK }}\;{\text{cells }}\;{\text{in }}\;{\text{analyzed }}\;{\text{samples}}}}{{{\text{CD107a}}^{ + } \;{\text{NK}}\;{\text{ cells }}\;{\text{in }}\;{\text{positive }}\;{\text{control}}}}$$

According to the “missing-self” hypothesis, one of the major functions of NK-cells is the recognition of cells lacking self-HLA class I molecules. As expected, autologous (Fig. 3A) and allogeneic (Fig. 3B) NK-cell activity against ΔiPS-fibro lacking HLA-I was high. Surprisingly, we observed that wild-type iPSC-derivatives provoked the response of both autologous (Fig. 3A) and allogenic (Fig. 3B) NK-cells to the same extent as isogenic ΔiPS-fibro. Meanwhile, we observed lower NK-cell activity against parental fibroblasts compared to iPS-fibro (Fig. 3A). The degranulation index of allogeneic NK-cells against iPS-fibro was 1.7 times higher compared to that of isogenic dermal fibroblasts. That difference was even higher for autologous NK-cells. The autologous NK-cell response to iPS-fibro was 2.7 times higher compared to isogenic dermal fibroblasts (Fig. 3A). CD107a mobilization assay data was consistent with LDH cytotoxicity tests. On all effector/target ratios, the level of NK-cell cytotoxicity was higher against iPSC-derivatives but not against dermal fibroblasts (Fig. 3D). We also tested NK-cell response to other iPSC-derived cells: retinal pigment epithelium (iPS-RPE) and cardiomyocytes (iPS-CM). These cells were also susceptible to the cytotoxic properties of NK-cells (Additional file 2: Fig. S4F, S4I). The differentiation protocols as well as characteristics of iPSC-derived RPE and CM are presented in Additional files 1 and 2: Fig. S4C–E and S4G–H.

Fig. 3
figure 3

In vitro NK-cell response to dermal fibroblasts and isogenic iPSC-derivatives. A Autologous NK-cells demonstrated significantly higher degranulation against iPS-fibro and ΔiPS-fibro compared to dermal fibroblasts. The bars represent the mean ± SEM. ***P < 0.001; ordinary one-way ANOVA. B The degranulation index of allogenic NK-cells (N = 21) did not differ between iPS-fibro and ΔiPS-fibro. Each dot represents an independent experiment performed in triplicates. The dots represent the mean ± SEM. ***P < 0.001; RM one-way ANOVA. C Representative flow-cytometry histograms illustrate CD107a expression for NK-cells of an allogenic donor co-cultured with dermal fibroblasts and isogenic iPSC-derivatives. Degranulation against the K562 cells used as the positive control is indicated in gray. The estimates of the degranulation index are given in red. D The LDH release assay demonstrated NK-cell cytotoxicity against dermal fibroblasts and isogenic iPSC-derivatives. The bars represent the data on cytotoxicity of an allogenic donor's NK-cells mixed at the different effector/target (E/T) ratios. Each bar represents an independent experiment performed in triplicates. The bars represent the mean ± SEM. *P < 0.05; **P < 0.01; ***P < 0.001; two-way ANOVA

Full size image

Gene expression profiling revealed the imbalance of NK-cell ligands in iPSC-derivatives

The NK-cell can respond to increased signals from activating receptors and decreased signals from inhibitory receptors. In this regard, manipulation of signal intensity coming from activating NK-cell receptors should reduce immune responses toward target cells. We demonstrated that blocking some activating NK-cell receptors, such as NKG2D and DNAM-1, mitigated NK-cell degranulation against both wild-type and B2M KO iPSC-derived cells (Additional file 2: Fig. S5A and S5B). Therefore, we assumed that an improper balance of NK-cell ligands in iPSC-derivatives was responsible for provoking an intensive NK-cell response. To test this, we performed gene expression profiling in isogenic dermal fibroblasts, iPS-fibro, and ΔiPS-fibro from donors A and B. To increase the resolution of the analysis, we included analogous samples from donor C. Our main goal was to identify differentially expressed genes encoding ligands for activating and inhibitory NK-cell receptors.

We first assessed whether iPS-fibro derivatives were similar to primary human fibroblasts. Using third-party scRNA-seq data [50], we identified 22 key markers typical for fibroblasts and 29 markers typical for undifferentiated iPSCs (Additional File 2: Fig. S6A). Next, we selected three publicly available datasets consisting of the transcriptome data (GSE61390, GSE62772, GSE73211) on fibroblasts reprogrammed to iPSCs, iPSCs, and iPSC-derived fibroblast-like cells [51,52,53]. The analysis of RNA-sequencing data (Fig. 4A) demonstrated that dermal fibroblasts and iPS-fibro expressed key fibroblasts markers, whereas iPSCs were hierarchically clustered by key markers typical for undifferentiated cells (Additional File 2: Fig. S6B). Despite a correlation over 0.9 between our iPSC-derivatives and human fibroblasts (Fig. 4B), the highest level of correlation (~ 0.95) was observed between our iPS-fibro and independently obtained iPSC-derived fibroblast-like cells (Fig. 4B). These results indicate that the transcriptomic signature of fibroblast-like iPSC-derivatives was reproducible across laboratories regardless of differences in reprogramming, differentiation, and cultivation.

Fig. 4
figure 4

Gene expression profiling of dermal fibroblasts and isogenic iPSC-derivatives. A The PCA plots clearly separates 3 types of samples: undifferentiated iPSCs, parental fibroblasts, and iPSC-derived fibroblast-like cells (iPS-fibro). B The correlation matrix demonstrating the high degree of similarity between human fibroblasts and iPS-fibro. Samples obtained in this study are indicated in red. C Transcriptome profiles were used to analyze expression of activating and inhibitory NK-cell ligands, as well as adhesion molecules in dermal fibroblasts and iPS-fibro. The expression values of each gene in a row are normalized by a row Z-Score

Full size image

We then identified differentially expressed genes in our iPS-fibro compared to parental fibroblasts (Additional file 2: Fig. S7A). Transcriptomic analysis revealed that 1670 genes were downregulated. Among them were 13 genes encoding ligands for NK-cell receptors or other molecules necessary for NK-cell activation (GO:0030101) (Additional file 3). Similarly, 1597 genes were upregulated in iPS-fibro, with 12 of them encoding molecules necessary for NK-cell activation. Gene Ontology enrichment analysis showed that genes downregulated in iPS-fibro were significantly enriched in several immunological pathways, including immune response, immune effector response, and inflammatory response (Additional file 2: Fig. S7C). Gene Set Enrichment Analysis revealed that genes from sets “Hallmark interferon-gamma response” and “Hallmark interferon-alpha response” were significantly downregulated in iPS-fibro (Additional file 2: Fig. S7E).

Next, we focused on the pattern of NK-cell ligands expression (Fig. 4C; Additional file 2: Fig. S7D). We found that many genes encoding ligands for inhibitory and activating receptors were differentially expressed in iPSC-derivatives compared with primary fibroblasts. Alongside this, there was a consistency in the expression of ligands for NK-cell receptors between iPS-fibro and ΔiPS-fibro (Additional file 2: Fig. S7B).

HLA class I molecules serve as ligands for two main classes of inhibitory NK-cell receptors: the KIR (Killer-cell immunoglobulin-like receptors) family and the CD94-NKG2A heterodimer. This interaction underlies the molecular basis of “missing-self” recognition. Compared to their parental fibroblasts, the expression of all classical HLA class I transcripts (HLA-A, HLA-B, and HLA-C) was downregulated in iPS-fibro with fold change > 2. Likewise, the expression of the light chain of HLA class I molecules, B2M, was also downregulated in iPS-fibro. The downregulation of HLA-A, HLA-B, HLA-C, and B2M genes for iPS-fibro-A and iPS-fibro-B was validated by RT-qPCR (Additional file 2: Fig. S8A). The difference between fibro-B and iPS-fibro-B was more pronounced than in other isogenic systems. This phenomenon may be explained by the comparatively higher expression of HLA-I molecules for fibro-B and might be a donor-specific feature.

The level of non-classical HLA class I expression was also reduced in iPS-fibro. Non-classical HLA-I includes HLA-E, HLA-G, and HLA-F genes that exert immunomodulatory properties in NK-cells. Accordingly, the decline in their expression might also promote the manifestation of NK-cell cytotoxic functions. On the other hand, no differentially expressed genes were identified among the other ligands for minor inhibitory receptors (such as PD-1, NKRP1A, CEACAM1, CD96, TIGIT, KLRG1, and TIM-3). Hence, we assumed that a relatively low level of HLA class I molecules in the iPS-fibro led to the deficiency in inhibitory signals that might tip the balance toward the activation of the cytotoxic program of NK-cells.

Almost half of the genes encoding the key ligands for activating NK-cell receptors were differentially expressed in iPS-fibro (Fig. 4C). Upregulated genes included the genes of ligands for dominant activating receptors: NKG2D, DNAM-1, and natural cytotoxicity receptors (NCRs). Compared to their parental fibroblasts, the stress-induced molecule’s MICA (NKG2D ligand) gene expression was more than 1.5 times higher in iPS-fibro. The DNAM-1 ligands, NECTIN2 (CD112) and PVR (CD155), and the NKp30 ligand, NCR3LG1 (B7-H6), underwent a more noticeable increase in gene expression with fold-change of > 3 in iPS-fibro. The upregulation of MICA, ULBP3, NECTIN2, and PVR genes for iPS-fibro-A and iPS-fibro-B was validated by RT-qPCR (Additional file 2: Fig. S8B). Finally, some genes such as CADM1 (CRTAM ligand) and CD70 (CD27 ligand) were expressed only in iPSC-derivatives but not in parental fibroblasts. Notably, an imbalance in the expression of ligands for activating NK-cell receptors was also observed in publicly available RNA-seq datasets. In particular, NECTIN2, PVR, CADM1, and CD70 gene expression was upregulated in independently derived fibroblast-like cells (data not shown). Presumably, the upregulation of these genes might result from the incomplete maturation of fibroblast-like iPSC-derivatives.

In addition, we analyzed the expression of genes encoding adhesion molecules. The interaction of adhesion molecules with their receptors on NK-cells contributes to firming NK-cell adhesion to the target cell and leads to the assembly of immunological synapse essential for target cell killing [54]. ICAM-1 (LFA-1 ligand) and VCAM-1 (VLA-4 or integrin α4β1 ligand) genes were upregulated in iPSC-derivatives (Fig. 4C). The same change was observed in publicly available RNA-seq datasets (data not shown). The overexpression of some adhesion molecules might also contribute to NK-cell mediated cytotoxicity against iPSC-derivatives.

Various factors have affected the balance regulating the response of NK-cells to iPS-fibro. First, we observed a relatively low gene expression of HLA-I molecules, major inhibitory ligands, in iPS-fibro. Second, genes coding for main activating NK-cell ligands were upregulated in iPS-fibro. Third, the genes of some adhesion molecules were also overexpressed in iPS-fibro.

Prolonged iPS-fibro cultivation promoted HLA-I upregulation but failed to inhibit NK-cell response

Since the low expression of HLA class I molecules is a common feature of hPSCs, the low expression of HLA class I molecules by intact iPS-fibro might be associated with immaturity. Therefore, we evaluated the HLA-ABC and B2M expression by parental fibroblasts and iPS-fibro at different passages. We showed that the most significant difference in the expression of HLA-ABC and B2M was observed between parental fibroblasts and iPS-fibro at passage 3, i.e., the “youngest” iPSC-derived cells (Fig. 5A; Additional file 2: Fig. S9A). Further in the process of cultivation and passaging, a significant increase in the HLA-ABC and B2M expression was observed (Fig. 5A; Additional file 2: Fig. S9A). However, it was not sufficient to alter NK-cell immune response both in autologous and allogeneic models (Fig. 5B). The degranulation index against iPSC-derivatives did not change over the course of passaging even when iPS-fibro-B at passage 12 reached the fibroblast-specific level of HLA-I expression (Fig. 5A, bottom panel). Next, we analyzed the pattern of activating NK-cell ligands in iPS-fibro at different passages. We found that more mature iPS-fibro maintained elevated gene expression of ligands for NKG2D (Fig. 5C) and DNAM-1 (Fig. 5D) NK-cell receptors. Thus, prolonged culture and passaging of iPS-fibro failed to reach the equilibrium state of NK-cell ligands. The upregulation of HLA-I expression in iPS-fibro at passage 12 was insufficient to counterbalance the predominance of activating signals, resulting in increased NK-cell response similar to "young" iPSC-derived cells (Fig. 5B).

Fig. 5
figure 5

Prolonged iPS-fibro cultivation promoted HLA-I upregulation but failed to inhibit NK-cell responses. A A gradual increase of HLA-ABC expression was observed during the process of passaging and maturation of iPS-fibro. HLA-ABC expression was normalized to isogeneic parental fibroblasts. The bars represent the mean ± SEM; ***P < 0.001; ordinary one-way ANOVA. B Prolonged passaging of iPS-fibro had no effect on the immune response mediated by autologous or allogeneic (N = 9) NK-cells. Each bar represents the mean ± SEM; **P < 0.01; ***P < 0.001; RM one-way ANOVA. C Expression of ligands for NKG2D activating receptor in parental fibroblasts and iPS-fibro at different passages. Expression of all analyzed genes in iPS-fibro was normalized to isogeneic parental fibroblasts. The bars represent the mean ± SEM; **P < 0.01; ***P < 0.001; RM one-way ANOVA. D Expression of ligands for DNAM-1 activating receptor in parental fibroblasts and iPS-fibro at different passages. Expression of all analyzed genes in iPS-fibro was normalized to isogeneic parental fibroblasts. The bars represent the mean ± SEM; **P < 0.01; ***P < 0.001; RM one-way ANOVA

Full size image

IFNγ treatment increased HLA-I expression and reduced NK-cell-mediated cytotoxicity toward iPS-fibro

The elevated expression of ligands for NKG2D (Fig. 5C) and DNAM-1 (Fig. 5B) receptors led to a decisive advantage of activating NK-cells against iPS-fibro at all passages. Therefore, it is necessary to boost the HLA class I expression level to bring the balance of activating and inhibitory ligands into an equilibrium state. A considerable shift in the balance toward inhibition should lead to a decrease in NK-cell activation and cytotoxicity. Therefore, we analyzed whether changing the proportion of activating and inhibitory ligands for NK-cell receptors in iPS-fibro was possible. For this purpose, we used the important proinflammatory cytokine IFNγ that was previously shown as a potent inducer of HLA class I expression [55].

As expected, the IFNγ treatment greatly enhanced the HLA-I gene and protein expression. Twofold increase was observed for dermal fibroblasts, and more than sixfold increase was observed for iPS-fibro (Fig. 6A; Additional file 2: Fig. S10A). Similarly, a more than fivefold upregulation of the B2M gene and protein was detected after IFNγ stimulation (Additional file 2: Fig. S10A). It is worth noting that after the pretreatment with IFNγ, HLA-I expression in iPS-fibro was 3.5 times higher than in intact parental fibroblasts (Additional file 2: Fig. S9B). Moreover, IFNγ also increased the expression of minor inhibitory NK-cell ligands, such as CEACAM1 and LGALS9, and other molecules that can also have inhibitory effect on NK cells, such as CD274 (PD-L1) [56] and IDO [57] (Additional file 2: Fig. S10B, S10C). At the same time, IFNγ treatment affected the gene expression of some activating NK-cell ligands such as MICB and ICAM-1 (Additional file 2: S10C).

Fig. 6
figure 6

The pretreatment of iPS-fibro with IFNγ reduced the level of NK-cell degranulation and cytotoxicity. A Flow cytometry analysis revealed an increase in HLA-ABC expression in fibroblasts and iPS-fibro after IFNγ-stimulation (indicated in red). Isotype control is indicated in gray. B The autologous and allogeneic (N = 7) NK-cells demonstrated significantly reduced degranulation against iPS-fibro pretreated with IFNγ. Each bar represents the mean ± SEM; *P < 0.05; **P < 0.01; ***P < 0.001; RM one-way ANOVA. C The LDH release assay demonstrated a reduction in NK-cell cytotoxicity against iPS-fibro pretreated with IFNγ. The bars represent data on the cytotoxicity of two allogenic donors’ NK-cells. Each bar represents an independent experiment performed in triplicates. The bars represent the mean ± SEM; *P < 0.05; **P < 0.01; ***P < 0.001; ordinary one-way ANOVA

Full size image

Next, we assessed whether IFNγ stimulation could alter the NK-cell response. The response of autologous and allogenic NK-cells declined by about half toward IFNγ-pretreated iPS-fibro compared to their unstimulated counterparts (Fig. 6B). Interestingly, the NK-cell response to IFNγ-pretreated iPS-fibro dropped nearly to values typical for intact isogeneic fibroblasts. In contrast, IFNγ-stimulation did not alter NK-cell responses to ΔiPS-fibro with the knockout of the B2M gene. Both the degranulation index and NK-cell cytotoxicity remained at a level comparable to untreated samples (Fig. 6B, C). NK-cell activation against autologous fibroblasts also changed only slightly. Meanwhile, allogeneic NK-cells significantly reduced the release of cytotoxic granules after IFNγ treatment of parental fibroblasts (Fig. 6B). Most likely, such a considerable difference with stimulated fibroblasts was due to an excessive response to unstimulated cells by hyperactivated NK-cell of some donors (Fig. 3B). Contrariwise, there was no mitigation in cytotoxicity against parental fibroblasts pretreated with IFNγ. The reduced cytotoxic effect was observed only when IFNγ-pretreated fibro-A were co-cultured with NK-cells of donor 1 (Fig. 6C).

Summarizing the results of IFNγ treatment, we can conclude that weak change in activating ligands and considerable boost in the expression of HLA-I and other inhibitory molecules provided the predominance of inhibitory signals in IFNγ-stimulated iPS-fibro. This, in turn, normalized NK-cell response toward iPS-derived cells.

Discussion

Autologous iPSC-differentiated derivatives are a promising technology for regenerative medicine, which critically depends on donor tissues and organs [58]. Autologous grafts of iPSCs origin are considered immunotolerant [38, 59]. Therefore, patients transplanted with autological iPSC-derivatives might avoid immunosuppressive therapy, which has many side effects [11]. However, we report here that iPSC-derivatives could be immunologically intolerant because they triggered the activation and cytotoxicity of autologous lymphocytes. Specifically, we observed that autological NK-cells responded 2.5 times more to iPSC-derivatives than to their parental somatic cells used for iPSCs reprogramming. We observed this phenomenon in 3 types of iPSC-derived somatic cells, namely fibroblast-like cells, cardiomyocytes, and RPE cells.

Previously, some groups reported a T-cell response to syngeneic and autologous iPSC-derived cells [39, 40]. However, other studies contradicted the above-mentioned results and demonstrated a negligible immunogenicity of differentiated syngeneic iPSC-derivatives [60, 61]. In this study, we did not observe an enhancement of T-cell response to iPS-fibro compared to the parental somatic cells. The main role of T-cells is the recognition of foreign molecules, including neoepitopes. Therefore, abnormal gene expression or immunogenic mutations can induce a T-cell-dependent immune response [41, 62]. Theoretically, neoantigens can potentially emerge during reprogramming, long-term cultivation, or differentiation of iPSCs into the desired cell type. Here we report that autologous as well as allogeneic T-cells responded to the same extent to isogeneic fibroblasts and iPS-fibro. Thus, the iPS-fibro of both donors did not accumulate any protein alterations that could be recognized by pre-existing reactive T-cells. We also did not find increased expression of HORMAD1 and ZG16 genes in iPS-fibro. These genes were previously correlated with immunogenicity properties of syngeneic and autologous iPSC-derivatives in mice [60, 61].

Although NK-cell activity against undifferentiated iPSCs was previously examined in a number of studies [63,64,65,66], the NK-cell response to differentiated iPSC-derivatives is poorly investigated. Few studies have reported NK-cell-mediated killing of murine iPSC-derived cells both in vitro [67] and in vivo models [68]. Human iPSC-derivatives were studied mainly upon engineering the immune-evasive HLA-I-deficient hPSCs. A priori, these studies were performed in the allogeneic mode. Suzuki et al. detected the same NK-cell degranulation against allogeneic HLA-depleted and wild-type iPSC-derived platelets [19]. The vascular smooth muscle cells (VSMCs) derived from HLA-ABC−/− ESCs triggered degranulation and NK-cell-mediated cytotoxicity to the same extent as wild-type VSMCs [23]. Petrus-Reurer et al. reported the same NK-cell responses to HLA-I positive and HLA-I negative ESC-derived RPEs [30]. We also observed that the NK-cell response did not differ between HLA-I positive iPS-fibro and HLA-I negative ΔiPS-fibro. Moreover, we obtained the same result for allogeneic and autological modes. Thus, iPSC-derivatives were vulnerable to NK-cells regardless the HLA-I status.

The HLA-I molecules on the cell surface defend the cell from an NK-cell’s attack, but they are not alone in regulating immune tolerance. The cell also has other NK-cell receptor ligands contributing differentially to immune tolerance. The proper balance between inhibitory and activating ligands makes the target cell invisible to NK-cells [69]. The anergy of NK-cells is possible only with a weak positive signal coming from activating receptors and an active negative signal coming from inhibitory receptors. Therefore, we proposed that the imbalance of inhibitory and activating ligands in iPS-derived cells may be a reason for NK-cell activation.

In the above-mentioned studies, the authors didn’t focus on NK-cell response to wild-type hPSC-derivatives. Rather, they described the absence of hypersensitivity to NK-cells toward HLA-negative cells. At least two groups reported decreased level of NK-cell activating ligands such as CD155 and MICA/MICB [19, 30]. They assumed that the lack or deficiency of an NK-cell activation signal on HLA-I depleted hPSC-derivatives might make them resistant to NK-cell-mediated cytotoxicity. As opposed to other authors, we used parental fibroblasts as a negative control for NK-cell reaction. This comparison enabled us to detect the severe susceptibility of iPSC-derivatives to NK-cell effector functions.

Since autologous fibroblasts induced NK-cell anergy, we accepted them as the “gold standard” with the proper balance of NK-cell ligands. Transcriptome analysis revealed that major inhibitory ligands’ genes were underexpressed while some activating ligands’ genes were overexpressed in iPS-fibro compared to parental fibroblasts. Hence, the imbalance was determined simultaneously by two factors: low intensity of inhibitory signals and elevated intensity of activating signals.

Notably, we did not detect statistical differences in the expression of ligands for activating NK-cell receptors between wild-type iPS-fibro and HLA-I deficient ΔiPS-fibro. These results indicate that the inactivation of the B2M gene did not affect the pathways related to the regulation of NK-cell responses. Moreover, a trend toward the predominance of activating ligands was also observed in independently obtained samples. The expression level of ligands for DNAM-1 (NECTIN2, PVR), CRTAM (CADM1), and CD27 (CD70) receptors was elevated in all analyzed publicly available fibroblast-like cells. Similarly, some genes of adhesion molecules (ICAM-1 and VCAM-1) responsible for establishing tight cell-to-cell contacts were also overexpressed in third-party iPSC-derivatives. In one case, there was also a significant decrease in the expression of inhibitory ligand HLA-A and B2M gene necessary for the formation of all HLA class I molecules. Due to the high level of correlation between our iPS-fibro, including ΔiPS-fibro, and independent iPSC-derived fibroblast-like cells, we suppose that the imperfect microenvironment during in vitro differentiation affected proper balance of ligands for NK-cell receptors. Since each cell type expresses its own set of proteins, for clinical practice it would be necessary to determine the expression patterns of ligands for NK-cell receptors.

A possible reason for the disturbed balance of NK-cell ligands in iPS-fibro may be insufficient cell maturity. We showed that at early passages, iPS-fibro retained a relatively low expression of HLA class I molecules typical for undifferentiated cells. In the process of cultivation and passaging, the expression of HLA-I molecules in iPS-fibro almost reached the level common for parental somatic cells. This theory is consistent with data received on ESC-derived RPEs [30]. The authors noted that HLA-I were induced by differentiation. Nevertheless, even though prolonged passaging compensated for the shortage of inhibitory signals in iPS-fibro, we demonstrated that it was insufficient to suppress the NK-cell response due to the excessive expression of major activating ligands.

Since iPS-fibro, regardless of their maturity, conducted excessive signals from activating NK-cell ligands, we studied whether it is possible to amplify signals from inhibitory NK-cell ligands. IFNγ is an important pro-inflammatory cytokine, which is produced mainly by activated T-cells and NK-cells, and impacts on immune and non-immune cells, including during transplantation [70]. A unique feature of this cytokine is the ability to enhance the expression of HLA molecules [55]. Due to the important biological role of IFNγ, we used it as an external signal to change the expression pattern of inhibitory and activating NK-cell ligands in iPS-fibro. We demonstrated that IFNγ treatment significantly increased the expression of inhibitory molecules, such as major inhibitory NK-cell ligand HLA-I and minor ones, including CEACAM1, LGALS9, CD274 and IDO. Meanwhile, gene expression of activating ligands was slightly affected. Thus, IFNγ treatment tipped the balance, and HLA-I molecules became capable of inhibiting the NK-cell degranulation and NK-cell-mediated cytotoxicity against autologous and allogeneic iPS-fibro. Recently, it was shown that IFNγ could enhance the immunosuppressive properties of mesenchymal stem cells in a model of experimental renal fibrosis [71]. Our results indicate that IFNγ may also be a promising candidate for protecting autologous cell products from an immune response mediated by NK-cells.

Generally, the role of NK-cells in solid organ transplantation remains quite controversial [72]. There is evidence that some NK-cell subsets may play a role in the regulation of allograft tolerance, and NK-cells are nevertheless involved in T-cell-mediated and antibody-mediated allograft rejection [73]. In the absence of immunosuppressive therapy, which affects cytotoxic activity and adjusts degranulation properties, activated NK-cells produce IFNγ that may contribute to the development of chronic inflammation and the attraction of T-cell-mediated responses [74]. These immune processes may further complicate the use of autologous iPSC-derivatives in clinical practice. Currently three in-human transplants of autologous iPSC-derived cells have taken place [59, 75, 76]. Though these patients did not receive immunosuppression, it was reported that no one suffered from side effects. Still, even a possible chance of immune rejection raises concerns regarding the transplantation of autologous iPSC-derivatives without immunosuppressants. In this regard, different types of iPSC-derivatives must be tested for the proper balance of ligands for NK-cell receptors in order to avoid undesirable immune cell responses.

Conclusions

The first successful transplantations of autologous iPSC-derivatives contribute to the development of personalized regenerative medicine [58]. However, the issue of complete immune tolerance of autologous iPSCs is not yet fully resolved. In contrast to earlier reports [39, 40], our study shows that cells differentiated from autologous iPSCs can be recognized as “non-self” by NK-cells rather than by T-cells. While the parental fibroblasts used for reprogramming did not disrupt the anergy of autologous NK-cells, fibroblast-like cells derived from iPSCs triggered the cytotoxic activity of NK-cells regardless of their HLA-I status. These results once again prove that the regulation of NK-cell activation is more complex than the “missing-self” hypothesis and depends on the interaction of inhibitory and activating NK-cell receptors. We showed that iPSC-derivatives had a disturbed balance of NK-cell ligands. Compared to the parental fibroblasts, the balance in iPS-fibro was shifted toward activating signals due to reduced expression of inhibitory molecules and increased expression of activating molecules. Maturation of iPS-fibro compensated for their deficiency in inhibitory NK-cell ligands. However, long-term culture did not affect the activating molecules, so it could not attenuate NK-cell response to more mature iPSC-derived cells. Pretreatment of iPS-fibro with the proinflammatory cytokine IFNγ boosted the expression of inhibitory molecules, thereby balancing ligands for NK-cell receptors. Our results suggest that even autologous cells differentiated from iPSCs need to be confirmed immunotolerant for future transplants.

Availability of data and materials

Publicly available datasets analyzed in the present study can be downloaded from NCBI GEO data repository under accession numbers GSE61390, GSE62772, GSE73211. Raw and processed datasets obtained in the present study can be downloaded from NCBI GEO under accession GSE212796. Supporting data are available from the corresponding author upon reasonable request.

Abbreviations

B2M:

Beta-2-microglobulin

CM:

Cardiomyocytes

ESCs:

Embryonic stem cells

HLA:

Human leukocyte antigens

hPSCs:

Human pluripotent stem cells

IFNγ:

Interferon gamma

iPSCs:

Induced pluripotent stem cells

LDH:

Lactate dehydrogenase

NK:

Natural killer

RPE:

Retinal pigment epithelium

References

  1. Thomson JA, Itskovitz-Eldor J, Shapiro SS, et al. Embryonic stem cell lines derived from human blastocysts. Science. 1998;282(5391):1145–7.

    Article  CAS  PubMed  Google Scholar 

  2. Takahashi K, Tanabe K, Ohnuki M, et al. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell. 2007;131(5):861–72.

    Article  CAS  PubMed  Google Scholar 

  3. Suchy F, Yamaguchi T, Nakauchi H. iPSC-Derived organs in vivo: challenges and promise. Cell Stem Cell. 2018;22(1):21–4.

    Article  CAS  PubMed  Google Scholar 

  4. Peloso A, Dhal A, Zambon JP, et al. Current achievements and future perspectives in whole-organ bioengineering. Stem Cell Res Ther. 2015;6(1):107.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Liu G, David BT, Trawczynski M, Fessler RG. Advances in pluripotent stem cells: history, mechanisms, technologies, and applications. Stem Cell Rev Rep. 2020;16(1):3–32.

    Article  PubMed  Google Scholar 

  6. Kobold S, Guhr A, Mah N, et al. A manually curated database on clinical studies involving cell products derived from human pluripotent stem cells. Stem Cell Reports. 2020;15(2):546–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Doss MX, Sachinidis A. Current challenges of IPSC-based disease modeling and therapeutic implications. Cells. 2019;8(5):403.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Huang CY, Liu CL, Ting CY, et al. Human iPSC banking: barriers and opportunities. J Biomed Sci. 2019;26(1):87.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Rehakova D, Souralova T, Koutna I. Clinical-grade human pluripotent stem cells for cell therapy: characterization strategy. Int J Mol Sci. 2020;21(7):2435.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Sullivan S, Stacey GN, Akazawa C, et al. Quality control guidelines for clinical-grade human induced pluripotent stem cell lines. Regen Med. 2018;13(7):859–66.

    Article  CAS  PubMed  Google Scholar 

  11. Bolton EM, Bradley JA. Avoiding immunological rejection in regenerative medicine. Regen Med. 2015;10(3):287–304.

    Article  CAS  PubMed  Google Scholar 

  12. Zhao W, Lei A, Tian L, et al. Strategies for genetically engineering hypoimmunogenic universal pluripotent stem cells. iScience. 2020;23(6):101162.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Zheng D, Wang X, Xu RH. Concise review: one stone for multiple birds: generating universally compatible human embryonic stem cells. Stem Cells. 2016;34(9):2269–75.

    Article  CAS  PubMed  Google Scholar 

  14. Bogomiakova ME, Eremeev AV, Lagarkova MA. At home among strangers: is it possible to create hypoimmunogenic pluripotent stem cell lines? Mol Biol. 2019;53(5):725–40.

    Article  CAS  Google Scholar 

  15. Riolobos L, Hirata RK, Turtle CJ, et al. HLA engineering of human pluripotent stem cells. Mol Ther. 2013;21(6):1232–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Lu P, Chen J, He L, et al. Generating hypoimmunogenic human embryonic stem cells by the disruption of beta 2-microglobulin. Stem Cell Rev Rep. 2013;9(6):806–13.

    Article  CAS  PubMed  Google Scholar 

  17. Wang D, Quan Y, Yan Q, Morales JE, Wetsel RA. Targeted disruption of the β2-microglobulin gene minimizes the immunogenicity of human embryonic stem cells. Stem Cells Transl Med. 2015;4(10):1234–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Shi L, Li W, Liu Y, et al. Generation of hypoimmunogenic human pluripotent stem cells via expression of membrane-bound and secreted β2m-HLA-G fusion proteins. Stem Cells. 2020;38(11):1423–37.

    Article  CAS  PubMed  Google Scholar 

  19. Suzuki D, Flahou C, Yoshikawa N, et al. iPSC-derived platelets depleted of HLA class I are inert to anti-HLA class I and natural killer cell immunity. Stem Cell Rep. 2020;14(1):49–59.

    Article  CAS  Google Scholar 

  20. Bogomiakova ME, Sekretova EK, Eremeev AV, et al. Derivation of induced pluripotent stem cells line (RCPCMi007-A-1) with inactivation of the beta-2-microglobulin gene by CRISPR/Cas9 genome editing. Stem Cell Res. 2021;55:102451.

    Article  CAS  PubMed  Google Scholar 

  21. Song C, Wang L, Li Q, et al. Generation of individualized immunocompatible endothelial cells from HLA-I-matched human pluripotent stem cells. Stem Cell Res Ther. 2022;13(1):48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Torikai H, Reik A, Soldner F, et al. Toward eliminating HLA class I expression to generate universal cells from allogeneic donors. Blood. 2013;122(8):1341–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Han X, Wang M, Duan S, et al. Generation of hypoimmunogenic human pluripotent stem cells. Proc Natl Acad Sci U S A. 2019;116(21):10441–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Xu H, Wang B, Ono M, et al. Targeted disruption of HLA genes via CRISPR-Cas9 generates iPSCs with enhanced immune compatibility. Cell Stem Cell. 2019;24(4):566-578.e7.

    Article  CAS  PubMed  Google Scholar 

  25. Kim A, Lee KG, Kwon Y, et al. Off-the-shelf, immune-compatible human embryonic stem cells generated via CRISPR-mediated genome editing. Stem Cell Rev Rep. 2021;17(3):1053–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Lanza R, Russell DW, Nagy A. Engineering universal cells that evade immune detection. Nat Rev Immunol. 2019;19(12):723–33.

    Article  CAS  PubMed  Google Scholar 

  27. Mattapally S, Pawlik KM, Fast VG, et al. Human leukocyte antigen class i and ii knockout human induced pluripotent stem cell-derived cells: universal donor for cell therapy. J Am Heart Assoc. 2018;7(23):e010239.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Deuse T, Hu X, Gravina A, et al. Hypoimmunogenic derivatives of induced pluripotent stem cells evade immune rejection in fully immunocompetent allogeneic recipients. Nat Biotechnol. 2019;37(3):252–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Wang X, Lu M, Tian X, et al. Diminished expression of major histocompatibility complex facilitates the use of human induced pluripotent stem cells in monkey. Stem Cell Res Ther. 2020;11(1):334.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Petrus-Reurer S, Winblad N, Kumar P, et al. Generation of retinal pigment epithelial cells derived from human embryonic stem cells lacking human leukocyte antigen class I and II. Stem Cell Rep. 2020;14(4):648–62.

    Article  CAS  Google Scholar 

  31. Wang B, Iriguchi S, Waseda M, et al. Generation of hypoimmunogenic T cells from genetically engineered allogeneic human induced pluripotent stem cells. Nat Biomed Eng. 2021;5(5):429–40.

    Article  CAS  PubMed  Google Scholar 

  32. Koga K, Wang B, Kaneko S. Current status and future perspectives of HLA-edited induced pluripotent stem cells. Inflamm Regen. 2020;40:23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Ljunggren HG, Kärre K. In search of the “missing self”: MHC molecules and NK cell recognition. Immunol Today. 1990;11(7):237–44.

    Article  CAS  PubMed  Google Scholar 

  34. Lanier LL. NK cell recognition. Annu Rev Immunol. 2005;23:225–74.

    Article  CAS  PubMed  Google Scholar 

  35. Gornalusse GG, Hirata RK, Funk SE, et al. HLA-E-expressing pluripotent stem cells escape allogeneic responses and lysis by NK cells. Nat Biotechnol. 2017;35(8):765–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. González BJ, Creusot RJ, Sykes M, Egli D. How safe are universal pluripotent stem cells? Cell Stem Cell. 2020;26(3):307–8.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Matheus F, Raveh T, Oro AE, Wernig M, Drukker M. Is hypoimmunogenic stem cell therapy safe in times of pandemics? Stem Cell Rep. 2022;17(4):711–4.

    Article  CAS  Google Scholar 

  38. Pearl JI, Kean LS, Davis MM, Wu JC. Pluripotent stem cells: immune to the immune system? Sci Transl Med. 2012;4(164):164ps25.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Zhao T, Zhang ZN, Rong Z, Xu Y. Immunogenicity of induced pluripotent stem cells. Nature. 2011;474(7350):212–5.

    Article  CAS  PubMed  Google Scholar 

  40. Zhao T, Zhang ZN, Westenskow PD, et al. Humanized mice reveal differential immunogenicity of cells derived from autologous induced pluripotent stem cells. Cell Stem Cell. 2015;17(3):353–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Liu X, Li W, Fu X, Xu Y. The immunogenicity and immune tolerance of pluripotent stem cell derivatives. Front Immunol. 2017;8:645.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Deuse T, Hu X, Agbor-Enoh S, et al. De novo mutations in mitochondrial DNA of iPSCs produce immunogenic neoepitopes in mice and humans. Nat Biotechnol. 2019;37(10):1137–44.

    Article  CAS  PubMed  Google Scholar 

  43. Concordet JP, Haeussler M. CRISPOR: intuitive guide selection for CRISPR/Cas9 genome editing experiments and screens. Nucleic Acids Res. 2018;46(W1):W242–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Shuvalova LD, Davidenko AV, Eremeev AV, et al. Generation of induced pluripotent stem cell line RCPCMi008-A derived from patient with spinocerebellar ataxia 17. Stem Cell Res. 2021;54:102431.

    Article  CAS  PubMed  Google Scholar 

  45. Hewitt KJ, Shamis Y, Hayman RB, et al. Epigenetic and phenotypic profile of fibroblasts derived from induced pluripotent stem cells. PLoS ONE. 2011;6(2):e17128.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Eremeev AV, Volovikov EA, Shuvalova LD, et al. “Necessity is the mother of invention” or inexpensive, reliable, and reproducible protocol for generating organoids. Biochemistry. 2019;84(3):321–8.

    CAS  PubMed  Google Scholar 

  47. Vigont VA, Grekhnev DA, Lebedeva OS, et al. STIM2 mediates excessive store-operated calcium entry in patient-specific iPSC-derived neurons modeling a juvenile form of huntington’s disease. Front Cell Dev Biol. 2021;9:625231.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Human Pluripotent Stem Cell Registry. https://hpscreg.eu/cell-line/RCPCMi007-A

  49. Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat Protoc. 2013;8(11):2281–308.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Neavin D, Nguyen Q, Daniszewski MS, et al. Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells. Genome Biol. 2021;22(1):76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Ma H, Folmes CD, Wu J, et al. Metabolic rescue in pluripotent cells from patients with mtDNA disease. Nature. 2015;524(7564):234–8.

    Article  CAS  PubMed  Google Scholar 

  52. Cacchiarelli D, Trapnell C, Ziller MJ, et al. Integrative analyses of human reprogramming reveal dynamic nature of induced pluripotency. Cell. 2015;162(2):412–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Choi J, Lee S, Mallard W, et al. A comparison of genetically matched cell lines reveals the equivalence of human iPSCs and ESCs. Nat Biotechnol. 2015;33(11):1173–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Netter P, Anft M, Watzl C. Termination of the activating NK cell immunological synapse is an active and regulated process. J Immunol. 2017;199(7):2528–35.

    Article  CAS  PubMed  Google Scholar 

  55. Drukker M, Katz G, Urbach A, et al. Characterization of the expression of MHC proteins in human embryonic stem cells. Proc Natl Acad Sci U S A. 2002;99(15):9864–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Oyer JL, Gitto SB, Altomare DA, Copik AJ. PD-L1 blockade enhances anti-tumor efficacy of NK cells. Oncoimmunology. 2018;7(11):e1509819.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Park A, Yang Y, Lee Y, et al. Indoleamine-2,3-dioxygenase in thyroid cancer cells suppresses natural killer cell function by inhibiting NKG2D and NKp46 expression via STAT signaling pathways. J Clin Med. 2019;8(6):842.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Madrid M, Sumen C, Aivio S, Saklayen N. Autologous induced pluripotent stem cell-based cell therapies: promise, progress, and challenges. Curr Protoc. 2021;1(3):e88.

    CAS  PubMed  Google Scholar 

  59. Mandai M, Watanabe A, Kurimoto Y, et al. Autologous induced stem-cell-derived retinal cells for macular degeneration. N Engl J Med. 2017;376(11):1038–46.

    Article  CAS  PubMed  Google Scholar 

  60. Guha P, Morgan JW, Mostoslavsky G, Rodrigues NP, Boyd AS. Lack of immune response to differentiated cells derived from syngeneic induced pluripotent stem cells [published correction appears in Cell Stem Cell. 2017 Jul 6;21(1):144–148]. Cell Stem Cell. 2013;12(4):407–412.

  61. Araki R, Uda M, Hoki Y, et al. Negligible immunogenicity of terminally differentiated cells derived from induced pluripotent or embryonic stem cells. Nature. 2013;494(7435):100–4.

    Article  CAS  PubMed  Google Scholar 

  62. de Almeida PE, Ransohoff JD, Nahid A, Wu JC. Immunogenicity of pluripotent stem cells and their derivatives. Circ Res. 2013;112(3):549–61.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Dressel R, Nolte J, Elsner L, et al. Pluripotent stem cells are highly susceptible targets for syngeneic, allogeneic, and xenogeneic natural killer cells. FASEB J. 2010;24(7):2164–77.

    Article  CAS  PubMed  Google Scholar 

  64. Kruse V, Hamann C, Monecke S, et al. Human induced pluripotent stem cells are targets for allogeneic and autologous natural killer (NK) cells and killing is partly mediated by the activating NK receptor DNAM-1. PLoS ONE. 2015;10(5):e0125544.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Gröschel C, Hübscher D, Nolte J, et al. Efficient killing of murine pluripotent stem cells by natural killer (NK) cells requires activation by cytokines and partly depends on the activating NK receptor NKG2D. Front Immunol. 2017;8:870.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Benabdallah B, Désaulniers-Langevin C, Colas C, et al. Natural killer cells prevent the formation of teratomas derived from human induced pluripotent stem cells. Front Immunol. 2019;10:2580.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Cisneros T, Dillard DW, Qu X, et al. Differential role of natural killer group 2D in recognition and cytotoxicity of hepatocyte-like cells derived from embryonic stem cells and induced pluripotent stem cells. Am J Transplant. 2019;19(6):1652–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Nakamura Y, Miyagawa S, Yoshida S, et al. Natural killer cells impede the engraftment of cardiomyocytes derived from induced pluripotent stem cells in syngeneic mouse model. Sci Rep. 2019;9(1):10840.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Pegram HJ, Andrews DM, Smyth MJ, Darcy PK, Kershaw MH. Activating and inhibitory receptors of natural killer cells. Immunol Cell Biol. 2011;89(2):216–24.

    Article  PubMed  Google Scholar 

  70. Hidalgo LG, Halloran PF. Role of IFN-gamma in allograft rejection. Crit Rev Immunol. 2002;22(4):317–49.

    Article  CAS  PubMed  Google Scholar 

  71. Kanai R, Nakashima A, Doi S, et al. Interferon-γ enhances the therapeutic effect of mesenchymal stem cells on experimental renal fibrosis. Sci Rep. 2021;11(1):850.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Villard J. The role of natural killer cells in human solid organ and tissue transplantation. J Innate Immun. 2011;3(4):395–402.

    Article  PubMed  Google Scholar 

  73. Pontrelli P, Rascio F, Castellano G, Grandaliano G, Gesualdo L, Stallone G. The role of natural killer cells in the immune response in kidney transplantation. Front Immunol. 2020;11:1454.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Adenugba A. NK cells in transplantation. Transplantation. 2017;101(10):2262–4.

    Article  PubMed  Google Scholar 

  75. Takagi S, Mandai M, Gocho K, et al. Evaluation of transplanted autologous induced pluripotent stem cell-derived retinal pigment epithelium in exudative age-related macular degeneration. Ophthalmol Retina. 2019;3(10):850–9.

    Article  PubMed  Google Scholar 

  76. Schweitzer JS, Song B, Herrington TM, et al. Personalized iPSC-derived dopamine progenitor cells for parkinson’s disease. N Engl J Med. 2020;382(20):1926–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank National Medical Research Center for Hematology for technical help. We thank A. Kharitonov for iPS-RPE differentiation and characterization; D. Goliusova for iPS-CM characterization; E. Volovikov, E. Khomyakova, and L. Belikova for technical assistance; Dr. E. Zerkalenkova for assistance in karyotyping analysis; Dr. E. Kovalenko for providing anti-NKG2D and anti-DNAM-1 antibodies; Dr. S. Nedospasov and Dr. D. Kuprash for critical reading the manuscript and valuable comments. We thank A. Sokolova and A. Shomuradova for the help in the text editing.

Authors' information

M.E. Bogomiakova and M.A. Lagarkova are members of the Interdisciplinary Scientific and Educational School of Moscow University «Molecular Technologies of the Living Systems and Synthetic Biology».

Funding

This work was supported by the RFBR (grants #20–315-90041 and #19–29-04113-mk). Part of this work (iPSCs gene editing) was supported by grant 075–15-2019–1669 from the Ministry of Science and Higher Education of the Russian Federation.

Author information

Authors and Affiliations

  1. Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 1a Malaya Pirogovskaya, Moscow, Russia, 119435

    Margarita E. Bogomiakova, Elizaveta K. Sekretova, Ksenia S. Anufrieva, Anastasia N. Kazakova, Pavel A. Bobrovsky, Artem V. Eremeev, Olga S. Lebedeva, Alexandra N. Bogomazova & Maria A. Lagarkova

  2. Faculty of Biology, Lomonosov Moscow State University, 1-12 Leninskie Gory, Moscow, Russia, 119991

    Margarita E. Bogomiakova, Elizaveta K. Sekretova, Polina O. Khabarova & Maria A. Lagarkova

  3. Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 1a Malaya Pirogovskaya, Moscow, Russia, 119435

    Margarita E. Bogomiakova, Ksenia S. Anufrieva, Pavel A. Bobrovsky, Artem V. Eremeev, Olga S. Lebedeva & Alexandra N. Bogomazova

  4. Kazan Federal University, 18 Kremlyovskaya Street, Kazan, Russia, 420008

    Tatiana V. Grigoryeva

Authors
  1. Margarita E. Bogomiakova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elizaveta K. Sekretova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ksenia S. Anufrieva
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Polina O. Khabarova
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Anastasia N. Kazakova
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Pavel A. Bobrovsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Tatiana V. Grigoryeva
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Artem V. Eremeev
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Olga S. Lebedeva
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Alexandra N. Bogomazova
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Maria A. Lagarkova
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

MEB and MAL designed the study; MEB, EKS, POK performed the experiments; PAB generated vector for B2M knockout, TVG performed RNA-sequencing; KSA and ANK performed RNA-seq data analysis; AVE and OSL gave conceptual advice; ANB and MAL supervised this study; MEB, ANB, and MAL wrote the manuscript. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Margarita E. Bogomiakova.

Ethics declarations

Ethics approval and consent to participate

This study was reviewed and approved on June 1, 2021 by the Ethics Committee of the Federal Research Clinical Center of Physical and Chemical Medicine (protocol number 2021–06-01/1, project title “Immunogenic properties of differentiated derivatives of human induced pluripotent stem cells”). All donor samples were obtained in accordance with the Declaration of Helsinki principles.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Supplemental Experimental Procedures.

Additional file 2.

Supplemental Figures.

Additional file 3.

Transcriptomic data on selected genes encoding ligands for NK-cell receptors and other molecules necessary for NK-cell activation (GO:0030101).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bogomiakova, M.E., Sekretova, E.K., Anufrieva, K.S. et al. iPSC-derived cells lack immune tolerance to autologous NK-cells due to imbalance in ligands for activating and inhibitory NK-cell receptors. Stem Cell Res Ther 14, 77 (2023). https://doi.org/10.1186/s13287-023-03308-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13287-023-03308-5

Keywords

Stem Cell Research & Therapy

ISSN: 1757-6512