Skip to main content
Download PDF

Treating primary immunodeficiencies with defects in NK cells: from stem cell therapy to gene editing

Stem Cell Research & Therapy volume 11, Article number: 453 (2020) Cite this article

A Correction to this article was published on 27 April 2021

This article has been updated

Abstract

Primary immunodeficiency diseases (PIDs) are rare diseases that are characterized by genetic mutations that damage immunological function, defense, or both. Some of these rare diseases are caused by aberrations in the normal development of natural killer cells (NKs) or affect their lytic synapse. The pathogenesis of these types of diseases as well as the processes underlying target recognition by human NK cells is not well understood. Utilizing induced pluripotent stem cells (iPSCs) will aid in the study of human disorders, especially in the PIDs with defects in NK cells for PID disease modeling. This, together with genome editing technology, makes it possible for us to facilitate the discovery of future therapeutics and/or cell therapy treatments for these patients, because, to date, the only curative treatment available in the most severe cases is hematopoietic stem cell transplantation (HSCT). Recent progress in gene editing technology using CRISPR/Cas9 has significantly increased our capability to precisely modify target sites in the human genome. Among the many tools available for us to study human PIDs, disease- and patient-specific iPSCs together with gene editing offer unique and exceptional methodologies to gain deeper and more thorough understanding of these diseases as well as develop possible alternative treatment strategies. In this review, we will discuss some immunodeficiency disorders affecting NK cell function, such as classical NK deficiencies (CNKD), functional NK deficiencies (FNKD), and PIDs with involving NK cells as well as strategies to model and correct these diseases for further study and possible avenues for future therapies.

Background

Primary immunodeficiency disorders (PIDs) are rare diseases caused by genetic mutations that damage immunological function, defense, or both. PIDs refer to over 130 disorders that result from developmental and/or functional defects in one or more cell types of the immune system. PIDs are generally classified as disorders of adaptive immunity (B cell, T cell, or combined immunodeficiencies) or innate immunity (NK cells, phagocyte, and complement disorders). Some of these diseases affect natural killer (NK) cells [1, 2].

NK cells are lymphocytes of the innate immune system poised to deliver a response immediately after recognizing specific signals of “danger,” stress, or foreign origin. NK cells are initially defined as rapid cell-mediated cytotoxicity cells, though they also initiate a slower receptor-mediated apoptosis, and efficiently produce soluble mediators, such as cytokines, and provide contact-dependent co-stimulation. Hence, NK cells contribute to the regulation of immune responses, in the surveillance of stress and cancer cells, and in the defense against infections [3]. While these functions are not exclusive to NK cells, the ability to quickly mediate effector functions without the need of further development and/or maturation is a crucial distinctive feature of mature NK cells and cytotoxic T lymphocytes (CTLs), both of which are efficient at mediating cytotoxicity.

NK cell effector functions happen after ligation of germline-encoded receptors and involve the secretion of cytolytic molecules. These molecules are contained in pre-formed lytic granules of resting human NK cells. As a result, the cytolytic process needs to be well controlled and may involve additional or enhanced mechanisms for controlling the secretion of lytic granule contents [4].

Several NK cell deficiencies have been identified as being present in PIDs, including some characterized by an impediment in their development (classic NK deficiencies or CNKD) or by an aberrant formation of the lytic synapse (functional NK deficiencies or FNKD). To date, only one FNKD has been shown to impair only NK cell function. Many studies on how the lytic synapse is formed have been performed with T cells from patients with PIDs. Though cytotoxic lymphocytes have critical roles in host defense and immune regulation, NK cell deficiency can add to the clinical phenotypes [5].

In this review, we will focus on the most relevant PIDs with established functional defects in NK cells, such as CNKD [5] with mutations in GATA2 [6,7,8], MCM4, RTEL1, GINS1, and IRF8 genes; FNKD, with defects in the FCGR3A gene and PIDs involving NK cells, like Wiskott–Aldrich syndrome (WAS) [9,10,11], Chèdiak–Higashi syndrome (CHS) [12, 13], Griscelli syndrome type II (GS2) [14, 15], familial hemophagocytic lymphohistiocytosis 2 (FHL2) [16, 17] and 4 (FHL4) [18,19,20], APDS and APDS-2 [21], severe combined immunodeficiency due to ADA deficiency (ADA-SCID), X-linked severe combined immunodeficiency (X-SCID), and X-linked chronic granulomatous disease (X-GCD) as described in detail in Fig. 1 and Table 1 [5].

Fig. 1
figure 1

Functional and cell number defects in NK cells caused by different PIDs. Different check points of cytotoxicity may be affected in some diseases, such as FHL2, FHL4, CHS, and GS2. Other diseases may affect the proper functioning of a signaling pathway (APDS, APDS-2, IMD20) or the correct assembly of the cytoskeleton (WAS). Diseases with cell number defects in NK cells, such as CNKD1, IMD54, DKCB, IMD55, IMD32A-32B, X-CGD, and ADA-SCID

Full size image
Table 1 Overview of the most relevant PIDs, their OMIM number, their affected gene, the locus of the mutations, and the mutations themselves
Full size table

The pathogenesis and processes underlying target recognition by human NK cells of all the PIDs mentioned before are still not well understood. For this reason, the use of induced pluripotent stem cells (iPSCs), as a disease modeling tool, will help the study of human NK cell disorders with the final goal of elucidating the disease mechanisms to find novel gene and cell therapies for the treatment of those PIDs.

iPSC generation as a disease modeling tool

Prof. Yamanaka in 2006 made the pivotal finding that somatic cells can be reprogrammed to pluripotent cells by introducing a set of transcription factors, named induced pluripotent stem cells (iPSCs) [22]. This novel work used fibroblasts from adult mouse tail tips in order to create cells that resembled mouse embryonic stem cells morphologically and in gene expression. Essentially, these iPSCs could be proliferated and differentiated in vitro and in vivo, giving rise to mature cell types from the embryonic germ layers, endoderm, mesoderm, and ectoderm as well as to germ cells. One year later, a parallel procedure was successfully used to generate iPSCs from human fibroblasts. This achievement permitted the use of this technology in the in vitro study of human diseases [23]. The most commonly used cell type to generate iPSCs is the fibroblast, though other cell types have also been used to derive iPSCs (keratinocytes, epithelial cells, blood cells, etc.) [24]. Later, several groups reported the success of generating mature and fully differentiated blood cells, including NK cells [25].

Substantial improvement has also been made in the development of other strategies to accomplish reprogramming. Generation of iPSCs was initially based on using four retroviral vectors [26]. Recently, non-integrative methods (episomal vectors and Sendai virus, among others) have been developed to reprogram in a safer manner [27, 28]. In 2011, Eguizabal and colleagues were able to reprogram mature cells, such as dermal fibroblasts and blood cells, into iPSCs and later differentiate them into any desired cell type [25, 29,30,31]. To date, several studies have been reported using this technology to generate patient-derived iPSCs for disease modeling and for future applications in cell and gene therapies [32,33,34,35].

One of the first reports of a PID patient-derived iPSC line was from a patient with an adenosine deaminase (ADA) deficit, which causes severe combined immunodeficiency (ADA-SCID) [36]. While no follow-up studies using the ADA-SCID iPSCs have been reported to date, this crucial publication presented a proof of principle that iPSCs can be generated from patients with PIDs for investigating and correcting this disease. In 2011, Pessach and colleagues also published the successful generation of iPSCs from PID patients caused by specific mutations [37]. Another example of patient-specific iPSC generation was performed with cells from Fanconi anemia patients. Izpisua Belmonte’s group conducted this study, and interestingly, iPSCs could only be reprogrammed after correction of their mutation and gave rise to phenotypically normal myeloid and erythroid progenitors [38]. In addition, two papers from Malech’s laboratory show the generation of iPSCs using peripheral hematopoietic stem cells from five different genotypes of chronic granulomatous disease (CGD) patients. Both the patient iPSCs and patient somatic cells before being reprogramed into iPSCs can be corrected. Then, from the corrected iPSCs by in vitro myeloid differentiation, normal granulocytes were generated [39, 40]. In 2016, Laskowski and colleagues generated iPSCs from a Wiskott–Aldrich syndrome (WAS) patient and the WAS locus was targeted in order to produce corrected WAS-iPSCs. This group proved that the defects showed by WAS-iPSC-derived lymphoid cells were completely corrected for potential therapeutic use [41].

Further studies with PID-mutation-corrected iPSCs are needed to determine whether they are capable of differentiating into any target cell type as well as to gain more thorough knowledge of the mechanisms behind specific mutations [42]. Altogether, these publications reveal that disease–patient-specific iPSCs are an exceptional tool for improved understanding of human diseases and to develop novel and disease-specific cell and gene treatment approaches (Fig. 2).

Fig. 2
figure 2

Obtaining hiPS cells from different cell sources in order to use them as a disease model, drug developmental model, or stem cell research. hiPS cells from a PID patient may be corrected with the goal of developing a cell-based therapy. Adapted from [37]

Full size image

Gene editing revolution

During the DNA replication process, after experimental manipulation by using endonucleases or after exposure to chemotherapy or ionizing radiation, DNA damage can occur. Luckily, DNA repair mechanisms are able to repair this damage, thus avoiding DNA mutations that can develop into disease. This repair process is the basis of gene editing therapies, which follow two main repair pathways for double-strand breaks (DSBs) in the DNA: non-homologous end joining (NHEJ) and homologous recombination (HR) [43].

In the 1980s, pioneering scientists Prof. Capecchi, Smithies, and Evens discovered the HR pathway that repaired genes in mammalian cells. Later in 2007, they were awarded the Nobel Prize in Medicine for their findings in introducing gene modifications in mice models by using embryonic stem cells and HR-mediated gene editing. A few years later, Prof. Jasin enhanced gene targeting in mammalian cells using HR from yeast endonuclease I-SceI by using meganucleases. Since that time, next-generation gene editing tools have been used such as zinc-finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs), which all edit DNA in combination with the FokI endonuclease [43].

In the late 1980s, a bizarre topology at the 3′ end of the alkaline phosphatase gene was revealed in E. coli. This was a clustered regularly interspaced short palindromic repeats (CRISPR) array, which is now one of the most commonly used gene editing technologies. Later, in 2005, the molecular mechanism was revealed, which showed that CRISPR arrays are transcribed into RNA to cleave and load into CRISPR-associated (Cas) proteins (Cas9) [43].

For many years, scientists have been looking for a tool to induce or repair mutations in a targeted manner. Several techniques have been used in the past, such as engineered meganucleases, ZFNs, and TALENs, all with limited success, due to the fact that they are labor-intensive, expensive, or both. CRISPR-based methodologies together with RNA-guided nuclease activity meant that, theoretically, DSBs in eukaryotes can be induced, which was very hard to achieve before. In general, DSBs are repaired by DNA repair pathways, with NHEJ having the potential to induce indels—mutations caused by random insertion or deletion of nucleotides at the DSB site, whereas the HR repair pathway is more precise [44].

The differences between engineered meganucleases, ZFNs, TALENs, and CRISPR/Cas9 nucleases are described in detail in Fig. 3.

Fig. 3
figure 3

Diagram of the different types of existing gene editing tools: engineered meganucleases, zinc-finger nucleases (ZFNs), TAL effector nucleases (TALENs), and CRISPR/Cas9 nucleases

Full size image

Engineered meganucleases are derived from a huge family of natural homing endonucleases [45], and some have been designed with diverse strategies (structure-based design and yeast surface display) to identify natural target sites in the genome [46, 47]. Historically, natural meganucleases have been the gold standard for specificity, but have not been fully evaluated for translational development.

Zinc-finger nucleases (ZFNs) are artificial restriction enzymes in which a DNA-cleavage domain from the enzyme FokI is fused to a zinc-finger DNA-binding domain [48, 49]. The nuclease domain must dimerize to cut DNA efficiently. Consequently, a pair of ZFNs oriented correctly to allow dimerization must be engineered for each target site. A variety of strategies can be engineered for novel target sites for zinc-finger DNA-binding domains (modular assembly, phage display, bacteria-based two-hybrid and one-hybrid systems, and combinatorial approaches) [50]. Though ZFN design strategies are constantly being enhanced, engineering of these recombinant proteins with high activity and specificity still remains a challenge. However, the highest-quality ZFNs generated are a mixture of phage and modular display that are in an engineered T cell clinical trial [51].

TAL effector nucleases (TALENs) are artificial proteins with a similar structure to ZFNs with the fusion of the enzyme FokI nuclease domain to an engineered DNA-binding domain. This DNA-binding domain is engineered by gathering serial TAL repeats [52]. Each repeat mediates the interaction with a single nucleotide through a two amino acid repeat variable di-residue (RVD) that can be described by a simple code [53]. Thus, generating a highly active TALEN is easier than generating a highly active ZFN. Moreover, TAL repeats that use engineered RVDs and not natural ones are now being used to build TALENs and may have increased specificity over natural RVDs, though this still necessitates further study. A pair of TALENs must be engineered to recognize target sites of interest, as with ZFNs; thus, TALENs using TAL repeats with RVDs have superior specificity when compared to ZFNs.

CRISPR/Cas9 nucleases (CRISPR stands for “clustered regularly interspaced short palindromic repeats”) originate from the immune system of bacteria and archea [54]. The specificity of the CRISPR/Cas9 nuclease system is based on RNA–DNA Watson–Crick base pairing instead of protein–DNA interaction. In this system, a single-guide RNA (sgRNA) is constructed for the 20 nucleotides matching the target region. This target site must be next to a proto-spacer adjacent motif (PAM) sequence, which the Cas9 protein uses to recognize target sites [55]. The Cas9 protein, together with the sgRNA, is capable of unwinding double-stranded DNA, cross-examine if the single-guide adequately matches the target site, and generate a double-strand break in order to repair or introduce mutations. CRISPR/Cas9 nucleases can be engineered very simply since they are active at the desired target site.

Gene editing technology is a powerful tool currently being used in basic research, but the ultimate aim is to translate these tools to be applied in therapeutic treatments. Being able to use gene editing technology in the clinic stems from the possibility of treating monogenic diseases by developing a novel method to correct the disease-associated mutation [56, 57]. There are several companies (Cellectis, Sangamo Therapeutics, Editas Company, CRISPR Therapeutics, Caribou Biosciences, Precision Biosciences, and Intellia Therapeutics) developing gene editing-based approaches to treat monogenic diseases like β-thalassemia, sickle cell anemia, cystic fibrosis (CF), hemophilia, Duchenne muscular dystrophy (DMD), alpha1-antitrypsin deficiency (A1ATD), Huntington’s disease, lysosomal storage disorders (LSDs), among others [44]. Unfortunately, no gene editing-based strategies to treat PIDs have been developed yet, but surely, they are coming soon.

Certainly, the use of gene editing tools in patient-specific iPS cells will aid in the development of future treatments aimed at correcting the point mutations in PIDs with defects in NK cells.

Current gene and cell therapies for PIDs with defects in NK cells

The first time HSCT was used as a therapeutic option for treating PID in a severe combined immunodeficiency (SCID) patient was in 1965 [58], as shown in Fig. 4. Since then, HSCT has been the standard care for SCID patients with great survival rates [60,61,62]. However, depending on the HLA-match, HSCT could have some complications. On the one hand, when an HLA-identical sibling donor is available, the success rates are very high. On the other hand, a less well-watched HLA allogenic donor, such as haploidentical family members or unrelated donors, could lead to some serious risks. Among these risks, the more worrisome ones are graft rejection and graft versus host disease (GvHD). If either of these conditions occur, patients require an urgent restoration of hematopoiesis to prevent complications from prolonged pancytopenia [63]. In order to avoid these risks, during the last 20 years, genetic manipulation of a patient’s own autologous immune cells has been studied and is being translated into clinical trials. Key clinical trials using g-retroviral vectors for gene correction in adenosine deaminase SCID, Wiskott–Aldrich syndrome, and X-linked SCID had moderate hematopoietic cell transduction efficiency. Nevertheless, these trials served as a proof of concept that gene correction could provide a curative therapy since treated patients showed improvement in immune function. Unfortunately, several years after treatment, patients developed leukemia as a consequence of the activation of pro-oncogenes close to the g-retroviral vector insertion points [64]. As a consequence, this led to the development of lentiviral vectors, which improved the efficacy and safety of the gene therapies. For example, Strimvelis (gene therapy for ADA-SCID) is now open in Europe [65, 66] (Fig. 4). Currently, there are very few clinical trials that combine cell and gene therapy that are ongoing for several PIDs as shown in Table 2 [67, 68, 69], but none utilizes gene editing strategies.

Fig. 4
figure 4

Viral vector technology development and its application to human gene therapy. The line represents the timeline of this technology, from the 1960s to now. Adapted from [59]

Full size image
Table 2 Overview of current available clinical trials for different PIDs
Full size table

The triumph of gene therapy in treating PIDs is a major advancement, though limitations in manufacturing disease-specific vectors remain a challenge [70]. As this field moves forward, more efficient procedures offering wider spread applications arise. Gene editing defines a group of DNA editing approaches that can be simply designed for point mutations. Recently, programmable nucleases such as ZFNs, TALENs, and CRISPR-Cas9 have been developed as effective methods for editing the genome to correct the affected gene in PIDs [49, 71,72,73,74,75,76].

Compared to lentiviral vectors, gene-specific editing technologies has become a tremendously promising tool, as it has the potential to physiologically regulate gene expression and prevent genome-wide vector integration. Some of the ongoing efforts are focused on developing sensitive techniques to detect genotoxicity derived from unintended effects of endonucleases (off-target effects).

In the case of CRISPR-Cas9 approaches for HSC genome editing in PIDs, the design of the donor template is challenging and both the nature (single/multiple mutations or deletions in one or more hotspots distributed along the gene) and the functional effect of the mutation (gain of function versus loss of function) have to be taken into consideration [77].

Short donor templates (such as ssODN or linear or plasmid dsDNA donors) have been used to correct loss of function (LOF) mutations of a single or few nucleotides. For example, De Ravin and colleagues [78] could repair the mutation in the CYBB gene of CD34+ HSCs from patients with the immunodeficiency disorder X-linked chronic granulomatous disease (X-CGD) using a chemically modified 100-bp ssODN that resulted in production of 15–20% functional mature human myeloid and lymphoid cells for up to 5 months.

In contrast to small mutations, repair of large deletions or insertions is not possible with short donor templates and instead functional complementary DNA (cDNA) templates are inserted to target genes. Encouraging preclinical studies have been published using this approach for the treatment of X-SCID or X-CGD [79,80,81] and will be ready to translate to clinical trials soon.

However, one limitation to consider for the application of gene editing tools in a clinical setting might be the engraftment efficiency and HSC functionality of genetically modified cells due to cellular effects of the gene editing machinery. Indeed, global gene expression changes have been observed upon delivery of CRISPR-Cas9 machinery components into the cells. Immune response to viral infection, DNA damage response, apoptosis, and cell cycle processes have been reported as the most significantly enriched gene signatures [82]. The activation of these biological processes might negatively affect HSC stemness and hematopoietic lineage expansion and differentiation. Further studies are needed in order to better understand these mechanisms and therefore design more efficient CRISPR-Cas9 strategies and improve HSC engraftment efficiency.

Apart from CRISPR-Cas9, other genome editing tools have been used to modify genes in different cell types including HSCs. ZFN and TALEN techniques have been used to modify the IL2RG locus, which is responsible for SCID [83].

Specifically in the case of PID with NK cell defects, a good example of the evolution of treatment approaches is seen with WAS. The first clinical trial with gene therapy in WAS patients was performed using gamma-retroviral vectors. Even if 9 of 10 patients showed partial or complete resolution of immunodeficiency, autoimmunity, and other malignancies, 7 of them developed acute leukemia. This study demonstrated that gene therapy for WAS can be effective, although it was essential to find an alternative to gamma-retroviruses given the high risk of leukemia after months or years [84]. More recently, self-inactivating lentiviral vectors have shown efficacy for several PIDs, including WAS, and they are now in phase I/II clinical trials for a number of immune disorders. To date, more than 20 patients have been treated using lentiviral vectors and no evidence of vector-related toxicity has been observed with any reports of leukemia [85]. However, platelet recovery has been variable in those trials [86]. Although no preclinical studies have been published yet, nuclease-based gene editing approaches for repairing mutations in PID with NK cell defects might represent the future of gene therapy, already demonstrated by studies targeting other PIDs, as explained above. Hence, WAS gene targeting systems have been already tested in cell lines, providing the first hints for feasibility of CRISPR-based and heterodimeric ZNF-based gene therapy strategies [87].

In summary, thanks to a better understanding of stem cell biology, bone marrow transplantation, vector design, and genome editing, it is probable that gene therapy will become the gold standard of care for certain diseases in the future. In fact, its benefits have already been demonstrated for WAS, ADA, SCID, and X-CGD. In addition, a number of preclinical studies using targeted gene editing strategies show promise [59, 79,80,81, 88] and a large number of patients treated so far in clinical trials indicate that the gene therapy field is fast becoming a therapeutic standard.

Conclusions and future perspectives

During recent years, the genome editing field, together with cell reprogramming field, has shown tremendous progress. Currently, the first clinical trials with iPSC-derived NK cells (FT500) and gene-edited somatic cells have started. Here, we described the advantages of modeling and correcting PIDs with gene editing technologies while avoiding the use of viral vectors. However, further refinement of the genome editing tools is necessary if they are to be used in a clinical setting for PID treatment. Specifically, off-target mutagenesis has to be examined and the yield of gene-corrected HSCs or other blood cells (NK cells) needs to be improved so that an adequate number of cells for autologous transplantation and engraftment can be achieved. In spite of these issues, the influence of genome editing and stem cell therapies on modern medicine will be revolutionary for the PID field.

Availability of data and materials

Not applicable

Change history

Abbreviations

PIDs:

Primary immunodeficiency diseases

NK:

Natural killer

CTLs:

Cytotoxic T lymphocytes

CNKD:

Classical NK deficiencies

FNKD:

Functional NK deficiencies

WAS:

Wiskott–Aldrich syndrome

CHS:

Chèdiak–Higashi syndrome

GS2:

Griscelli syndrome type II

FHL2/ FHL4:

Familial hemophagocytic lymphohistiocytosis 2 and 4

APDS:

Activated PI3K-delta syndrome

PASLI:

p110δ-activating mutation causing senescent T cells, lymphadenopathy, and immunodeficiency

DC:

Dendritic cells

WASP:

WAS protein

HLH:

Hemophagocytic lymphohistiocytosis

MTOC:

Microtubule-organizing center

EBV:

Epstein–Barr virus

PI3K:

Phosphoinositide 3-kinase

CMV:

Cytomegalovirus

GOF:

Gain of function

HSCT:

Hematopoietic stem cell transplantation

XLP-1:

X-linked lymphoproliferative syndrome type 1

iPSCs:

Induced pluripotent stem cells

ADA:

Adenosine deaminase

SCID:

Severe combined immunodeficiency

CGD:

Chronic granulomatous disease

DSB:

DNA double-strand break

NHEJ:

Non-homologous end joining

HR:

Homologous recombination

ZFN:

Zinc-finger nuclease

TAL:

Transcription activator-like

TALEN:

Transcription activator-like effector nucleases

CRISPR:

Clustered regularly interspaced short palindromic repeats

RVD:

Repeat variable di-residue

sgRNA:

Single-guide RNA

PAM:

Proto-spacer adjacent motif

CF:

Cystic fibrosis

DMD:

Duchenne muscular dystrophy

A1ATD:

Alpha1-antitrypsin deficiency

LSD:

Lysosomal storage disorder

HIV-1:

Human immunodeficiency virus-1

HBV:

Hepatitis B virus

CAR T:

Chimeric antigen receptor T cell

X-CGD:

X-linked chronic granulomatous disease

References

  1. Orange JS. Human natural killer cell deficiencies and susceptibility to infection. Microbes Infect. 2002;4(15):1545–58.

    CAS  PubMed  Google Scholar 

  2. Orange JS. Human natural killer cell deficiencies. Curr Opin Allergy Clin Immunol. 2006;6(6):399–409.

    PubMed  Google Scholar 

  3. Orange JS, Ballas ZK. Natural killer cells in human health and disease. Clin Immunol. 2006;118(1):1–10.

    CAS  PubMed  Google Scholar 

  4. Wulfing C, Purtic B, Klem J, Schatzle JD. Stepwise cytoskeletal polarization as a series of checkpoints in innate but not adaptive cytolytic killing. Proc Natl Acad Sci U S A. 2003;100(13):7767–72.

    PubMed  PubMed Central  Google Scholar 

  5. Mace EM, Orange JS. Emerging insights into human health and NK cell biology from the study of NK cell deficiencies. Immunol Rev. 2019;287(1):202–25.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Vinh DC, Patel SY, Uzel G, Anderson VL, Freeman AF, Olivier KN, et al. Autosomal dominant and sporadic monocytopenia with susceptibility to mycobacteria, fungi, papillomaviruses, and myelodysplasia. Blood. 2010;115(8):1519–29.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Bigley V, Haniffa M, Doulatov S, Wang X-N, Dickinson R, McGovern N, et al. The human syndrome of dendritic cell, monocyte, B and NK lymphoid deficiency. J Exp Med. 2011;208(2):227–34.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Rodrigues NP, Janzen V, Forkert R, Dombkowski DM, Boyd AS, Orkin SH, et al. Haploinsufficiency of GATA-2 perturbs adult hematopoietic stem-cell homeostasis. Blood. 2005;106(2):477–84.

    CAS  PubMed  Google Scholar 

  9. Orange JS, Stone KD, Turvey SE, Krzewski K. The Wiskott-Aldrich syndrome. Cell Mol Life Sci. 2004;61(18):2361–85.

    CAS  PubMed  Google Scholar 

  10. Gismondi A, Cifaldi L, Mazza C, Giliani S, Parolini S, Morrone S, et al. Impaired natural and CD16-mediated NK cell cytotoxicity in patients with WAS and XLT: ability of IL-2 to correct NK cell functional defect. Blood. 2004;104(2):436–43.

    CAS  PubMed  Google Scholar 

  11. Orange JS, Harris KE, Andzelm MM, Valter MM, Geha RS, Strominger JL. The mature activating natural killer cell immunologic synapse is formed in distinct stages. Proc Natl Acad Sci U S A. 2003;100(24):14151–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Introne W, Boissy RE, Gahl WA. Clinical, molecular, and cell biological aspects of Chediak-Higashi syndrome. Mol Genet Metab. 1999;68(2):283–303.

    CAS  PubMed  Google Scholar 

  13. Orange JS. Formation and function of the lytic NK-cell immunological synapse. Nat Rev Immunol. 2008;8(9):713–25.

    CAS  PubMed  PubMed Central  Google Scholar 

  14. Ménasché G, Pastural E, Feldmann J, Certain S, Ersoy F, Dupuis S, et al. Mutations in RAB27A cause Griscelli syndrome associated with haemophagocytic syndrome. Nat Genet. 2000;25(2):173–6.

    PubMed  Google Scholar 

  15. Barral DC, Ramalho JS, Anders R, Hume AN, Knapton HJ, Tolmachova T, et al. Functional redundancy of Rab27 proteins and the pathogenesis of Griscelli syndrome. J Clin Invest. 2002;110(2):247–57.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Sieni E, Cetica V, Hackmann Y, Coniglio ML, Da Ros M, Ciambotti B, et al. Familial hemophagocytic lymphohistiocytosis: when rare diseases shed light on immune system functioning. Front Immunol. 2014;5:167.

    PubMed  PubMed Central  Google Scholar 

  17. Gholam C, Grigoriadou S, Gilmour KC, Gaspar HB. Familial haemophagocytic lymphohistiocytosis: advances in the genetic basis, diagnosis and management. Clin Exp Immunol. 2011;163(3):271–83.

    CAS  PubMed  PubMed Central  Google Scholar 

  18. zur Stadt U, Schmidt S, Kasper B, Beutel K, Diler AS, Henter J-I, et al. Linkage of familial hemophagocytic lymphohistiocytosis (FHL) type-4 to chromosome 6q24 and identification of mutations in syntaxin 11. Hum Mol Genet. 2005;14(6):827–34.

    Google Scholar 

  19. Arneson LN, Brickshawana A, Segovis CM, Schoon RA, Dick CJ, Leibson PJ. Cutting edge: syntaxin 11 regulates lymphocyte-mediated secretion and cytotoxicity. J Immunol. 2007;179(6):3397–401.

    CAS  PubMed  Google Scholar 

  20. Bryceson YT, Rudd E, Zheng C, Edner J, Ma D, Wood SM, et al. Defective cytotoxic lymphocyte degranulation in syntaxin-11 deficient familial hemophagocytic lymphohistiocytosis 4 (FHL4) patients. Blood. 2007;110(6):1906–15.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Lucas CL, Chandra A, Nejentsev S, Condliffe AM, Okkenhaug K. PI3Kδ and primary immunodeficiencies. Nat Rev Immunol. 2016;16(11):702–14.

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Takahashi K, Yamanaka S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell. 2006;126(4):663–76.

    CAS  PubMed  Google Scholar 

  23. Nishikawa S, Goldstein RA, Nierras CR. The promise of human induced pluripotent stem cells for research and therapy. Nat Rev Mol Cell Biol. 2008;9(9):725–9.

    CAS  PubMed  Google Scholar 

  24. Aasen T, Izpisúa Belmonte JC. Isolation and cultivation of human keratinocytes from skin or plucked hair for the generation of induced pluripotent stem cells. Nat Protoc. 2010;5(2):371–82.

    CAS  PubMed  Google Scholar 

  25. Eguizabal C, Zenarruzabeitia O, Monge J, Santos S, Vesga MA, Maruri N, et al. Natural killer cells for cancer immunotherapy: pluripotent stem cells-derived NK cells as an immunotherapeutic perspective. Front Immunol. 2014;5:439.

    PubMed  PubMed Central  Google Scholar 

  26. Lowry WE, Richter L, Yachechko R, Pyle AD, Tchieu J, Sridharan R, et al. Generation of human induced pluripotent stem cells from dermal fibroblasts. Proc Natl Acad Sci U S A. 2008;105(8):2883–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Kishino Y, Seki T, Fujita J, Yuasa S, Tohyama S, Kunitomi A, et al. Derivation of transgene-free human induced pluripotent stem cells from human peripheral T cells in defined culture conditions. PLoS One. 2014;9(5):e97397.

    PubMed  PubMed Central  Google Scholar 

  28. González F, Boué S, Izpisúa Belmonte JC. Methods for making induced pluripotent stem cells: reprogramming a la carte. Nat Rev Genet. 2011;12(4):231–42.

    PubMed  Google Scholar 

  29. Eguizabal C, Montserrat N, Vassena R, Barragan M, Garreta E, Garcia-Quevedo L, et al. Complete meiosis from human induced pluripotent stem cells. Stem Cells. 2011;29(8):1186–95.

    CAS  PubMed  Google Scholar 

  30. Tiscornia G, Vivas EL, Matalonga L, Berniakovich I, Barragán Monasterio M, Eguizábal C, et al. Neuronopathic Gaucher’s disease: induced pluripotent stem cells for disease modelling and testing chaperone activity of small compounds. Hum Mol Genet. 2013;22(4):633–45.

    CAS  PubMed  Google Scholar 

  31. Montserrat N, Garreta E, González F, Gutiérrez J, Eguizábal C, Ramos V, et al. Simple generation of human induced pluripotent stem cells using poly-beta-amino esters as the non-viral gene delivery system. J Biol Chem. 2011;286(14):12417–28.

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Tiscornia G, Vivas EL, Izpisúa Belmonte JC. Diseases in a dish: modeling human genetic disorders using induced pluripotent cells. Nat Med. 2011;17(12):1570–6.

    CAS  PubMed  Google Scholar 

  33. Montserrat N, Nivet E, Sancho-Martinez I, Hishida T, Kumar S, Miquel L, et al. Reprogramming of human fibroblasts to pluripotency with lineage specifiers. Cell Stem Cell. 2013;13(3):341–50.

    CAS  PubMed  Google Scholar 

  34. Xu X, Qu J, Suzuki K, Li M, Zhang W, Liu G-H, et al. Reprogramming based gene therapy for inherited red blood cell disorders. Cell Res. 2012;22(6):941–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Giorgetti A, Montserrat N, Aasen T, Gonzalez F, Rodríguez-Pizà I, Vassena R, et al. Generation of induced pluripotent stem cells from human cord blood using OCT4 and SOX2. Cell Stem Cell. 2009;5(4):353–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  36. Park I-H, Arora N, Huo H, Maherali N, Ahfeldt T, Shimamura A, et al. Disease-specific induced pluripotent stem cells. Cell. 2008;134(5):877–86.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Pessach IM, Ordovas-Montanes J, Zhang S-Y, Casanova J-L, Giliani S, Gennery AR, et al. Induced pluripotent stem cells: a novel frontier in the study of human primary immunodeficiencies. J Allergy Clin Immunol. 2011;127(6):1400–1407.e4.

    CAS  PubMed  Google Scholar 

  38. Raya A, Rodríguez-Pizà I, Guenechea G, Vassena R, Navarro S, Barrero MJ, et al. Disease-corrected haematopoietic progenitors from Fanconi anaemia induced pluripotent stem cells. Nature. 2009;460(7251):53–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Merling RK, Sweeney CL, Chu J, Bodansky A, Choi U, Priel DL, et al. An AAVS1-targeted minigene platform for correction of iPSCs from all five types of chronic granulomatous disease. Mol Ther. 2015;23(1):147–57.

    CAS  PubMed  Google Scholar 

  40. Zou J, Sweeney CL, Chou B-K, Choi U, Pan J, Wang H, et al. Oxidase-deficient neutrophils from X-linked chronic granulomatous disease iPS cells: functional correction by zinc finger nuclease-mediated safe harbor targeting. Blood. 2011;117(21):5561–72.

    CAS  PubMed  PubMed Central  Google Scholar 

  41. Laskowski TJ, Van Caeneghem Y, Pourebrahim R, Ma C, Ni Z, Garate Z, et al. Gene correction of iPSCs from a Wiskott-Aldrich syndrome patient normalizes the lymphoid developmental and functional defects. Stem Cell Reports. 2016;7(2):139–48.

    CAS  PubMed  PubMed Central  Google Scholar 

  42. Karagiannis P, Yamanaka S, Saito MK. Application of induced pluripotent stem cells to primary immunodeficiency diseases. Exp Hematol. 2019;71:43–50.

    CAS  PubMed  Google Scholar 

  43. Porteus MH. Towards a new era in medicine: therapeutic genome editing. Genome Biol. 2015;16:286.

    PubMed  PubMed Central  Google Scholar 

  44. Niederberger C, Pellicer A, Cohen J, Gardner DK, Palermo GD, O’Neill CL, et al. Forty years of IVF. Fertil Steril. 2018;110(2):185–324.e5.

    PubMed  Google Scholar 

  45. Chevalier BS, Stoddard BL. Homing endonucleases: structural and functional insight into the catalysts of intron/intein mobility. Nucleic Acids Res. 2001;29(18):3757–74.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Silva G, Poirot L, Galetto R, Smith J, Montoya G, Duchateau P, et al. Meganucleases and other tools for targeted genome engineering: perspectives and challenges for gene therapy. Curr Gene Ther. 2011;11(1):11–27.

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Jarjour J, West-Foyle H, Certo MT, Hubert CG, Doyle L, Getz MM, et al. High-resolution profiling of homing endonuclease binding and catalytic specificity using yeast surface display. Nucleic Acids Res. 2009;37(20):6871–80.

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Durai S, Mani M, Kandavelou K, Wu J, Porteus MH, Chandrasegaran S. Zinc finger nucleases: custom-designed molecular scissors for genome engineering of plant and mammalian cells. Nucleic Acids Res. 2005;33(18):5978–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Urnov FD, Rebar EJ, Holmes MC, Zhang HS, Gregory PD. Genome editing with engineered zinc finger nucleases. Nat Rev Genet. 2010;11(9):636–46.

    CAS  PubMed  Google Scholar 

  50. Porteus MH, Carroll D. Gene targeting using zinc finger nucleases. Nat Biotechnol. 2005;23(8):967–73.

    CAS  PubMed  Google Scholar 

  51. Tebas P, Stein D, Tang WW, Frank I, Wang SQ, Lee G, et al. Gene editing of CCR5 in autologous CD4 T cells of persons infected with HIV. N Engl J Med. 2014;370(10):901–10.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. Bogdanove AJ, Voytas DF. TAL effectors: customizable proteins for DNA targeting. Science. 2011;333(6051):1843–6.

    CAS  PubMed  Google Scholar 

  53. Boch J, Scholze H, Schornack S, Landgraf A, Hahn S, Kay S, et al. Breaking the code of DNA binding specificity of TAL-type III effectors. Science. 2009;326(5959):1509–12.

    CAS  PubMed  Google Scholar 

  54. Doudna JA, Charpentier E. Genome editing. The new frontier of genome engineering with CRISPR-Cas9. Science. 2014;346(6213):1258096.

    PubMed  Google Scholar 

  55. Hsu PD, Lander ES, Zhang F. Development and applications of CRISPR-Cas9 for genome engineering. Cell. 2014;157(6):1262–78.

    CAS  PubMed  PubMed Central  Google Scholar 

  56. Suzuki K, Yamamoto M, Hernandez-Benitez R, Li Z, Wei C, Soligalla RD, et al. Precise in vivo genome editing via single homology arm donor mediated intron-targeting gene integration for genetic disease correction. Cell Res. 2019;29(10):804–19.

    PubMed  PubMed Central  Google Scholar 

  57. Suzuki K, Yu C, Qu J, Li M, Yao X, Yuan T, et al. Targeted gene correction minimally impacts whole-genome mutational load in human-disease-specific induced pluripotent stem cell clones. Cell Stem Cell. 2014;15(1):31–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  58. Gatti RA, Meuwissen HJ, Allen HD, Hong R, Good RA. Immunological reconstitution of sex-linked lymphopenic immunological deficiency. Lancet. 1968;2(7583):1366–9.

    CAS  PubMed  Google Scholar 

  59. Lyu C, Shen J, Wang R, Gu H, Zhang J, Xue F, et al. Targeted genome engineering in human induced pluripotent stem cells from patients with hemophilia B using the CRISPR-Cas9 system. Stem Cell Res Ther. 2018;9(1):92.

    CAS  PubMed  PubMed Central  Google Scholar 

  60. Buckley RH, Schiff SE, Schiff RI, Markert L, Williams LW, Roberts JL, et al. Hematopoietic stem-cell transplantation for the treatment of severe combined immunodeficiency. N Engl J Med. 1999;340(7):508–16.

    CAS  PubMed  Google Scholar 

  61. Antoine C, Müller S, Cant A, Cavazzana-Calvo M, Veys P, Vossen J, et al. Long-term survival and transplantation of haemopoietic stem cells for immunodeficiencies: report of the European experience 1968-99. Lancet. 2003;361(9357):553–60.

    PubMed  Google Scholar 

  62. Grunebaum E, Mazzolari E, Porta F, Dallera D, Atkinson A, Reid B, et al. Bone marrow transplantation for severe combined immune deficiency. JAMA. 2006;295(5):508–18.

    CAS  PubMed  Google Scholar 

  63. Morgan RA, Gray D, Lomova A, Kohn DB. Hematopoietic stem cell gene therapy: progress and lessons learned. Cell Stem Cell. 2017;21(5):574–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  64. Dunbar CE, High KA, Joung JK, Kohn DB, Ozawa K, Sadelain M. Gene therapy comes of age. Science. 2018;359(6372):eaan4672.

  65. Ferrua F, Aiuti A. Twenty-five years of gene therapy for ADA-SCID: from bubble babies to an approved drug. Hum Gene Ther. 2017;28(11):972–81.

    CAS  PubMed  Google Scholar 

  66. Aiuti A, Roncarolo MG, Naldini L. Gene therapy for ADA-SCID, the first marketing approval of an ex vivo gene therapy in Europe: paving the road for the next generation of advanced therapy medicinal products. EMBO Mol Med. 2017;9(6):737–40.

    CAS  PubMed  PubMed Central  Google Scholar 

  67. Booth C, Gaspar HB, Thrasher AJ. Treating immunodeficiency through HSC gene therapy. Trends Mol Med. 2016;22(4):317–27.

    CAS  PubMed  Google Scholar 

  68. Home - ClinicalTrials.gov [Internet]. [cited 2019 Oct 3]. Available from: https://clinicaltrials.gov/.

  69. Evolving Gene Therapy in Primary Immunodeficiency.

  70. Poletti V, Charrier S, Corre G, Gjata B, Vignaud A, Zhang F, et al. Preclinical development of a lentiviral vector for gene therapy of X-linked severe combined immunodeficiency. Mol Ther Methods Clin Dev. 2018;9:257–69.

    CAS  PubMed  PubMed Central  Google Scholar 

  71. Yeo NC, Chavez A, Lance-Byrne A, Chan Y, Menn D, Milanova D, et al. An enhanced CRISPR repressor for targeted mammalian gene regulation. Nat Methods. 2018;15(8):611–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  72. Clarke R, Heler R, MacDougall MS, Yeo NC, Chavez A, Regan M, et al. Enhanced bacterial immunity and mammalian genome editing via RNA-polymerase-mediated dislodging of Cas9 from double-strand DNA breaks. Mol Cell. 2018;71(1):42–55.e8.

    CAS  PubMed  PubMed Central  Google Scholar 

  73. Genovese P, Schiroli G, Escobar G, Tomaso TD, Firrito C, Calabria A, et al. Targeted genome editing in human repopulating haematopoietic stem cells. Nature. 2014;510(7504):235–40.

    CAS  PubMed  PubMed Central  Google Scholar 

  74. Osborn MJ, Starker CG, McElroy AN, Webber BR, Riddle MJ, Xia L, et al. TALEN-based gene correction for epidermolysis bullosa. Mol Ther. 2013;21(6):1151–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  75. Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol. 2014;32(4):347–55.

    CAS  PubMed  PubMed Central  Google Scholar 

  76. Fu Y, Sander JD, Reyon D, Cascio VM, Joung JK. Improving CRISPR-Cas nuclease specificity using truncated guide RNAs. Nat Biotechnol. 2014;32(3):279–84.

    CAS  PubMed  PubMed Central  Google Scholar 

  77. De Ravin SS, Brault J. CRISPR/Cas9 applications in gene therapy for primary immunodeficiency diseases. Emerg Top Life Sci. 2019;3(3):277–87.

    PubMed  Google Scholar 

  78. De Ravin SS, Li L, Wu X, Choi U, Allen C, Koontz S, et al. CRISPR-Cas9 gene repair of hematopoietic stem cells from patients with X-linked chronic granulomatous disease. Sci Transl Med. 2017;11:9(372).

    Google Scholar 

  79. Kuo CY, Long JD, Campo-Fernandez B, de Oliveira S, Cooper AR, Romero Z, et al. Site-specific gene editing of human hematopoietic stem cells for X-linked hyper-IgM syndrome. Cell Rep. 2018;23(9):2606–16.

    CAS  PubMed  PubMed Central  Google Scholar 

  80. De Ravin SS, Reik A, Liu P-Q, Li L, Wu X, Su L, et al. Targeted gene addition in human CD34(+) hematopoietic cells for correction of X-linked chronic granulomatous disease. Nat Biotechnol. 2016;34(4):424–9.

    PubMed  PubMed Central  Google Scholar 

  81. Schiroli G, Ferrari S, Conway A, Jacob A, Capo V, Albano L, et al. Preclinical modeling highlights the therapeutic potential of hematopoietic stem cell gene editing for correction of SCID-X1. Sci Transl Med. 2017;9(411):eaan0820.

  82. Cromer MK, Vaidyanathan S, Ryan DE, Curry B, Lucas AB, Camarena J, et al. Global transcriptional response to CRISPR/Cas9-AAV6-based genome editing in CD34+ hematopoietic stem and progenitor cells. Mol Ther. 2018;26(10):2431–42.

    CAS  PubMed  PubMed Central  Google Scholar 

  83. Li H, Yang Y, Hong W, Huang M, Wu M, Zhao X. Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects. Signal Transduct Targeted Ther. 2020;5(1):1–23.

    Google Scholar 

  84. Braun CJ, Boztug K, Paruzynski A, Witzel M, Schwarzer A, Rothe M, et al. Gene therapy for Wiskott-Aldrich syndrome--long-term efficacy and genotoxicity. Sci Transl Med. 2014;6(227):227ra33.

    PubMed  Google Scholar 

  85. Abina SH-B, Gaspar HB, Blondeau J, Caccavelli L, Charrier S, Buckland K, et al. Outcomes following gene therapy in patients with severe Wiskott-Aldrich syndrome. JAMA. 2015;313(15):1550–63.

    CAS  PubMed Central  Google Scholar 

  86. Zhang Z-Y, Thrasher AJ, Zhang F. Gene therapy and genome editing for primary immunodeficiency diseases. Genes Dis. 2020;7(1):38–51.

    CAS  PubMed  Google Scholar 

  87. Gutierrez-Guerrero A, Sanchez-Hernandez S, Galvani G, Pinedo-Gomez J, Martin-Guerra R, Sanchez-Gilabert A, et al. Comparison of zinc finger nucleases versus CRISPR-specific nucleases for genome editing of the Wiskott-Aldrich syndrome locus. Hum Gene Ther. 2018;29(3):366–80.

    CAS  PubMed  Google Scholar 

  88. Thrasher AJ, Williams DA. Evolving Gene Therapy in Primary Immunodeficiency. Mol Ther. 2017 ;25(5):1132–41.

Download references

Acknowledgements

We apologize to our colleagues whose work was not cited due to space limitations.

Declarations

Not applicable

Funding

This work was supported by Health Department of Basque Government (Grant 2016111140), Instituto de Salud Carlos III (PI18/01299), and Inocente Inocente Foundation (FII18-003-CPS). LH was supported by Jesus Gangoiti Barrera Foundation and Asociación Española contra el Cáncer (AECC). Work in the laboratory of J.C.I.B. was supported by The Moxie Foundation.

Author information

Authors and Affiliations

  1. Cell Therapy, Stem Cells and Tissues Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain

    C. Eguizabal, L. Herrera & M. Inglés-Ferrándiz

  2. Research Unit, Basque Center for Blood Transfusion and Human Tissues, Osakidetza, Galdakao, Spain

    C. Eguizabal, L. Herrera & M. Inglés-Ferrándiz

  3. Gene Expression Laboratory, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 93027, USA

    J. C. Izpisua Belmonte

Authors
  1. C. Eguizabal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. L. Herrera
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Inglés-Ferrándiz
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. C. Izpisua Belmonte
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

C.E., L.H., M.I.F., and J.C.I. conceived and designed the study and performed the literature search and manuscript writing. All authors revised and approved the final manuscript.

Corresponding author

Correspondence to C. Eguizabal.

Ethics declarations

Ethics approval and consent to participate

Not applicable

Consent for publication

Not applicable

Competing interests

The authors declare no competing financial and non-financial interests.

Additional information

Publisher’s Note

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

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

Eguizabal, C., Herrera, L., Inglés-Ferrándiz, M. et al. Treating primary immunodeficiencies with defects in NK cells: from stem cell therapy to gene editing. Stem Cell Res Ther 11, 453 (2020). https://doi.org/10.1186/s13287-020-01964-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13287-020-01964-5

Keywords

Stem Cell Research & Therapy

ISSN: 1757-6512