Global gene expression profiling and senescence biomarker analysis of hESC exposed to H2O2 induced non-cytotoxic oxidative stress
© The Author(s). 2017
Received: 23 March 2017
Accepted: 31 May 2017
Published: 5 July 2017
Human embryonic stem cells (hESCs) potentially offer new routes to study, on the basis of the Developmental Origins of Health and Disease (DOHaD) concept, how the maternal environment during pregnancy influences the offspring’s health and can predispose to chronic disease in later life. Reactive oxygen species (ROS), antioxidant defences and cellular redox status play a key function in gene expression regulation and are involved in diabetes and metabolic syndromes as in ageing.
We have, therefore, designed an in vitro cell model of oxidative stress by exposing hESCs to hydrogen peroxide (H2O2) during 72 h, in order to resemble the period of preimplantation embryonic development.
We have analysed the global gene expression profiles of hESCs (HUES3) exposed to non-cytotoxic H2O2 concentrations, using Illumina microarray HT-12 v4, and we found the differential expression of 569 upregulated and 485 downregulated genes. The most affected gene ontology categories were those related with RNA processing and splicing, oxidation reduction and sterol metabolic processes. We compared our findings with a published RNA-seq profiling dataset of human embryos developed in vitro, thereupon exposed to oxidative stress, and we observed that one of the common downregulated genes between this publication and our data, NEDD1, is involved in centrosome structure and function.
Therefore, we assessed the presence of supernumerary centrosomes and showed that the percentage of cells with more than two centrosomes increased acutely with H2O2 treatment in hESCs (HUES3 and 7) and in a control somatic cell line (Hs27), inducing a premature entry into senescence.
KeywordshESC Oxidative stress Microarray Centrosome NEDD1
Reactive oxygen species (ROS) are constantly produced by cells and in a normal physiological environment they are efficiently regulated by intracellular antioxidant systems. However, when ROS production exceeds cellular defences, these unstable compounds can damage proteins, nucleic acids and lipids . This situation is known as oxidative stress, and it has been related to the ageing process and to multiple diseases like diabetes mellitus type 2, cancer, metabolic syndromes and neurodegenerative complications [2, 3]. The study of the mechanisms implicated in oxidative stress in different cell models could greatly help to design preventive antioxidant treatments for these diseases .
Cell culture has been used for many decades to decode the mechanisms involved in oxidative stress and to analyse the protective effect of antioxidants, providing a vast amount of information. However, very different data can be found in the literature in respect to pro-oxidants doses and effects . The effects can also differ enormously according to the cell line; thus, it would be very interesting to compare different cell types in the same study. Furthermore, most of our knowledge in this field is derived from differentiated cells while limited information is available on human embryonic stem cells (hESCs). Some studies have suggested that somatic and ESCs respond in different ways to oxidative stress [6, 7] although the mechanisms underlying this different response remain unknown. The interest in the response of hESCs to oxidative conditions lies in their peculiar nature since they reflect the same features of the early pluripotent cells of human embryos, showing a similar mitochondrial morphology and mass, and meeting their energy requirements predominantly via anaerobic glycolysis [8, 9]. The implications of an exposure to common situations in assisted reproduction procedures (ART) or in pregnant diabetic mothers are still largely unknown in human and remain to be elucidated. Thus, since for ethical reasons the availability of human oocytes and embryos for research is limited, hESCs are suitable in the studies of human development-linked genetic disorders. Therefore hESCs provide the in vitro model to study how early human embryonic cells react to an adverse environment during the critical preimplantation window when environmental alterations like oxidative stress can lead to future disorders, according to the Developmental Origins of Health and Disease theory (DOHaD) .
When cells affront physiologic stresses, they tend to adapt , but if this adaptive capability is outstripped or if the external stress is too adverse, cell damage initiates. Acute or persistent stress causes an ample spectrum of metabolic, genetic and cellular responses. The most extreme outcome is necrosis that implicates irreversible injury and cell death [12, 13]. In order to induce oxidative stress in a cell culture in vitro model, one of the pro-oxidant agents widely used is hydrogen peroxide (H2O2), which at physiological concentrations is involved in signalling mechanisms and cell metabolism. However, it also can produce ROS, which can easily penetrate cell membranes, directly damaging lipids, nucleic acids and other macromolecules. Moreover, it can react with partially reduced transition metals such as Fe2+ or Cu2+, generating the highly reactive hydroxyl radical (OH-) that increases the oxidative damage in the cell [14, 15]. H2O2 intracellular concentration is controlled by different enzymatic and non-enzymatic antioxidant mechanisms and it is assumed to range between 1 and 700 nM  depending on the cellular type and the specific system; so intracellular steady-state concentrations of H2O2 above 1 μM are considered to induce oxidative stress, triggering arrest of development and cell death [17, 18]. In a preliminary study, we identified the non-cytotoxic window of exposure to H2O2 of hESCs (HUES3 and HUES7) and somatic cells (HS27 and HUVEC), that is was recorded in between 4 and 16 μM H2O2 for Hs27 and HUES cells, and up to 32 μM for HUVEC cells. We previously demonstrated that in this range there are no modifications of cell number and morphology, but significantly increased levels of ROS were observed .
Cells in normal physiological conditions possess precise checkpoint mechanisms in order to prevent replication with damaged DNA or other cellular defects. These checkpoints can arrest the cell cycle, until abnormal cells are either corrected or removed . However, under more severe environmental conditions, and in response to specific stresses, cells undergo senescence, an irreversible growth arrest state between the G1 and S phase of the cell cycle, and can persist as such for a long time metabolically active . A critical cell-cycle progression organelle is the centrosome that is the primary microtubule-organizing centre (MTOC) of the cell, and it has been described that cell-cycle arrest and senescence can be originated by defects in this organelle . A typical centrosome is made up by a pair of perpendicularly oriented cylindrical structures called centrioles, surrounded by the pericentriolar material. Defects in the structure of the centrosome can predispose to arrest of the cell cycle and senescence . In most eucariotic cells, the main function of the centrosomes is contributing to the mitotic spindle by attaching and nucleating microtubules and by building its bipolar organization . Several studies have shown that the abnormalities in the chromosomes might be caused by an abnormal number of centrosomes .
Human embryonic stem cells are particularly sensitive to chromosome instability [25, 26] and a considerable percentage of cultured hESCs after long-term passages exhibit supernumerary centrosomes during mitosis . Chromosome abnormalities have been largely studied in human embryos , but the status of their centrosome number, structure and the percentage of centrosome abnormalities are still largely unknown. To determine if aberrant centrosomes contribute to senescence in H2O2-treated cells, we analysed γ-tubulin, an essential protein for correct centrosomal structure and function, and which is an important target of the protein encoded by neural precursor cell-expressed developmentally downregulated gene 1 (NEDD1) [29, 30]. Centrosome disruption can be originated by oxidative stress ; however, the mechanisms linking modifications of this organelle to senescence are still poorly understood.
Microarray technology has been widely used to generate global transcriptome profiles, to unravel the process of early development from the oocyte to the preimplantation stage in various animal models and also in human embryos [32, 33]. The aim of this study was therefore to analyse using microarray the response of human ESCs against H2O2 oxidant agents in an oxidative stress model through the investigation of the global gene expression profile at three key non-cytotoxic H2O2 concentrations (4, 8 and 16 μM). We demonstrate that somatic and ESCs show different responses compared to endothelial cells, and we provide further data to show how the oxidative environment can affect the early embryonic cells. On one hand, our data suggest that heterogeneity across different hESC lines is reflected in global transcriptional profiles in agreement with human embryonic development . On the other hand, we demonstrate the modification of crucial genes involved in pathways related with oxidation reduction, glucose metabolism, epigenetics and DNA repair. One of these altered genes in common with human embryos developed in vitro, NEDD1, led us to unravel the role of centrosome modifications in human somatic cells, fibroblasts and endothelial cells, and in ESCs exposed to an in vitro oxidative stress treatment induced by H2O2 exposure.
Human embryonic stem cells (hESCs) (HUES3 and HUES7 cell lines, obtained from Harvard Stem Cells Institute)  were first cultured on a feeder layer of mouse embryonic fibroblasts (MEFs) inactivated by mitomycin C (Sigma-Aldrich, Milan, Italy) in KO-DMEM medium (Gibco Invitrogen, Milan, Italy) supplemented with 10% serum replacement (Gibco Invitrogen, Milan, Italy), 4.3 mg/ml bovine serum albumin (BSA) (Sigma-Aldrich, Milan, Italy), 2 mM glutamine (L-alanyl-L-glutamine, Sigma-Aldrich, Milan, Italy), 1% non-essential amino acids (Gibco Invitrogen, Milan, Italy), 0.055 mM beta-mercaptoethanol (Gibco Invitrogen, Milan, Italy), 63 mg/ml penicillin, 70 mg/ml streptomycin, and 10 ng/ml bFGF (PeproTech, Milan, Italy). To perform the experiments, hESCs were adapted to grow in feeder-free conditions in mTeSR™1 medium (Stemcell Technologies, obtained from Voden Medical Instruments, Milan, Italy). The medium was changed every day and cells were passaged 1:4 with PBS/EDTA every 3 or 4 days.
Human fibroblasts (Hs27 cell line, obtained from Biobanking of Veterinary Resources, IZSLER, Brescia, Italy) were cultured in Dulbecco’s modified Eagle’s medium (DMEM, high-glucose, GlutaMAX™ supplement, Gibco Invitrogen, Milan, Italy), supplemented with 10% fetal bovine serum (FBS, Sigma-Aldrich, St. Louis, MO, USA). Human umbilical vein endothelial cells (HUVEC line, obtained from Biobanking of Veterinary Resources, IZSLER, Brescia, Italy) were cultured in Medium 200 that is supplemented with 2% Low Serum Growth Supplement (Gibco Invitrogen, Milan, Italy). Cells were passaged 1:4 by 0.05% trypsin/EDTA incubation at 37 °C for 5 min every 3 or 4 days.
For microarray analysis the exposure to 4, 8 and 16 μM of H2O2 started 24 hours (h) after plating and medium was changed daily during the following 72 h, ending at day 4 after plating (Additional file 1: Figure S1). For centrosome fragmentation analysis the exposure to H2O2 started 24 h after plating and medium was changed once, treating the cells during 2 h and 24 h. For gene expression analysis Hs27 and HUVEC cells were grown in 60 mm dishes and HUES cells in 24-well plates. For immunofluorescence detection cells were seeded on 6 mm diameter glass cover slides at different concentrations depending on treatment timing: 2 and 24 h treatment 80,000 cells/ml; and to reach the optimal cell confluence after 72 h treatment, cells were plated at different concentrations: somatic cells (Hs27 and HUVEC) were plated at 60,000 cells/ml and hESCs (HUES3 and HUES7) at 40,000 cells/ml. At the end of the treatment, cell samples were frozen for RT-PCR, and then stored in RNA protect Cell Reagent (Qiagen, Milan, Italy) for the microarray analysis or fixed in PAF (4% in PBS) for immunocytochemistry analysis.
RNA isolation, cDNA synthesis and qPCR
The RNA from cells treated with the different H2O2 concentrations was extracted, from three biological replicates, using the RNeasy Mini Kit (Qiagen, Milan, Italy) following the manufacturer’s instructions. Each replicate was processed independently. After extraction, the reverse transcription reaction was performed with iScript™ cDNA Synthesis Kit (Bio-Rad, Milan, Italy) following the manufacturer's instructions. Tubes were first incubated at 25 °C for 5 min and then at 42 °C for 30 min to allow the reverse transcription of mRNA, followed by 85 °C for 5 min to denature the enzyme. After the retrotranscription of mRNA transcripts, the three control cDNA replicates and three replicates of each treatment condition (4, 8 and 16 μM of H2O2) were sent to conduct microarray experiments by Cambridge Genomic Services using Illumina HumanHT-12 v4 expression BeadChIP.
Validation of microarray data was performed by real-time qPCR. For each biological experiment, three PCR replicates were conducted for the genes of interest. We compare the relative levels of each transcript with those of the housekeeping gene in each sample. PCR was carried out with the PCR mix iTaq™ Universal SYBR Green Supermix (Bio-Rad, Milan, Italy) containing the specific primers (Additional file 2: Table S1) in a MyiQ Real-Time PCR Detection System (Bio-Rad, Milan, Italy). Data was analysed with the iQ Optical System Software (Bio-Rad) with the ddCt method. 18S was used as housekeeping reference gene, and all the genes were normalized to the non-treated control.
Database submission of microarray data
The microarray data were deposited in the Gene Expression Omnibus (GEO) database: http://www.ncbi.nlm.nih.gov/geo/. The GEO accession number for the platform is GSE90999 and the NCBI tracking system number is 18185372.
Microarray gene expression studies
Preprocessing of Illumina microarray data and quality control (QC) were performed using R/Bioconductor packages BeadArray (Dunning et al., 2007) and lumi (Du et al., 2008). QC steps undertaken (i) exclusion of unexpressed genes/probes if their detection p ≤ 0.05 and (ii) quantile normalization of data, followed by log2 and variance-stabilizing transformation (VST) implemented in the lumi Bioconductor package. In the circumstance of genes represented by multiple distinct oligonucleotide probes, the probe with the highest average expression across all samples was selected for use in further analyses. Normalized data were exported directly from the lumi Bioconductor package.
Identification of differentially expressed genes
Differential gene expression between sample groups was identified with multiple hypothesis testing via the R/Bioconductor package limma (Smyth, 2004) using methods “lmFit”, “makeContrasts” and “eBayes” with default parameters. The empirical Bayes approach employed shrinks sample variance towards a pooled estimate, leading to more robust estimation of differential expression. Differentially expressed (DE) genes are denoted significant if their p ≤ 0.05.
Identification of pivot genes associated with human preimplantation embryonic development
Transcriptomic data of human early embryonic development were derived from a published study of single-cell RNA-seq profiling of human preimplantation embryos , which include seven developmental stages of preimplanted embryos (oocyte, zygote, 2-cell, 4-cell, 8-cell, morula and blastocyst). The processed gene counts files were downloaded from the GEO database (GSE36552). Gene expression levels were evaluated by calculating TPM , and the genes with TPMs higher than one in more than 50% replicates in at least one stage were kept as the expressed ones in human early embryonic development. Human protein-protein interaction (PPI) data were downloaded from BioGrid database (version 3.1.141)  including both curated physical and genetic interactions. Redundant interactions and self-interactions were deleted.
The co-expression level for each interacted gene pair in the PPI network was evaluated by calculating the Pearson correlation coefficient (PCC). The protein-protein interactions with significant PCCs (BH  corrected p ≤ 0.01) are kept for the construction of the co-expression network. Then, the co-expression network was clustered by using the Markov cluster algorithm (MCL)  with default parameters, and the clusters with at least ten genes, which are significantly enriched with GO biological processes evaluated by using a hypergeometric test, are selected as co-expression functional gene modules. The inter-modular hubs are defined as the genes locating between the functional modules, which interacted with at least ten genes in the co-expression network. The pivot genes were selected from the inter-modular hubs, which have significantly more interactions with a functional module evaluated by a hypergeometric test (p ≤ 0.05). The differential expression of the pivot genes between the 4-cell and 8-cell stages were evaluated by using t test with the BH corrected p values lower than 0.05 and the fold changes higher than 1.4 as suggested by MAQC consortium .
In order to localize γ-tubulin, a highly conserved protein within the microtubule-organizing centres, cells grown in glass cover slides were washed once with PBS and fixed in 4% paraformaldehyde (VWR, Milan, Italy) for 30 min at room temperature (RT). Then, they were permeabilized by incubation in 0.5% Triton (Sigma-Aldrich, Milan, Italy) in PBS for 15 min at RT and blocked in 10% normal goat serum (Sigma-Aldrich, Milan, Italy) in PBS for 1 hour at RT. After that, cells were incubated for 2 h at RT in 1:1500 mouse monoclonal anti-γ-tubulin (Clone GTU-88, Sigma-Aldrich, Milan, Italy). Following incubation, cells were washed three times and incubated in PBS containing 1:200 Texas Red anti-mouse antibodies (Jackson ImmuneResearch, Milan, Italy) for 1 h in the dark at RT. Finally, cells were incubated with 5 μg/ml Hoechst 33342 (Sigma-Aldrich, Milan, Italy) for 15 min in the dark at room temperature and washed three times in PBS and seated with Citifluor (Citifluor Ltd., London, UK). Slides were observed by fluorescence microscopy (Nikon Eclipse 80i, Nikon, Tokyo, Japan). Negative controls were performed with omission of the primary antibody before secondary antibody addition.
All values are expressed as mean ± standard deviation (SD) and were obtained from three separate experiments analysed independently. Statistical analysis for RT-qPCR was performed on the data using the Student’s t test to calculate significant differences between the treated group samples compared with the control (CTR). The asterisks denote statistical significance: * p ≤0.05; ** p ≤0.01; *** p ≤0.001. For centrosome fragmentation analysis, two groups χ2 square test was conducted between the treated groups samples compared with the CTR. The asterisk indicates significant increase compared with the CTR, p ≤0.05.
In a preliminary study we developed  a novel in vitro model to analyse the effects of oxidative stress and the antioxidant response against reactive oxygen species (ROS) in embryonic stem cells compared with somatic cells. We demonstrated that the non-lethal doses of H2O2 resulted in an increase in oxidative stress in treated cells. To evaluate the nominal concentration-effect relationship for the cytotoxic action of H2O2, human somatic cells (Hs27 and HUVEC) and embryonic stem (HUES3 and HUES7) cell lines were exposed to increasing concentrations of H2O2 between 4 and 768 μM during 72 h and by AlamarBlue® reduction we analysed cell viability and normalized to the untreated control samples of each cell line.
Gene expression profiles from in vitro untreated control and 4, 8 and 16 μM H2O2-treated HUES3 cells were obtained using Illumina HT-12 v4 microarrays, each array included approximately 48 k transcripts. No global differences were observed in the transcriptome profile between samples of different H2O2 conditions (Additional file 3: Figure S2), suggesting that the global gene expression of human ES cells is stable upon hydrogen peroxide treatment.
Quantitative RT-PCR for oxidative stress gene expression
The clustering analysis of the differentially expressed genes and functional gene ontology classification allowed us to construct a graph with the crucial cell functions compromised by the non-cytotoxic H2O2 treatment (Additional file 4: Figure S3). The most significant GO term affected in HUES3-treated cells is the RNA processing and, interestingly, most of the 'oxidation reduction' genes are upregulated (14 out of 20). Relevant genes for oxidative stress were chosen from this microarray results to represent both increased and decreased expression, and also different ranges of changes. Whereas in the microarray dataset, these genes showed a wide range of fold changes across the three H2O2 concentrations (4, 8 and 16 μM) when compared with control cells, or for each H2O2 concentration compared with control, more subtle differences were evidenced in the qPCR analysis and for some genes it was possible to show a more detailed dose-response variation, in a high rate agreement with the microarray results. We selected only genes whose expression was altered by at least 1.3 fold change in response to treatment. Quantitative RT-PCR was performed to validate 15 genes, and for further validation, gene expression levels were also analysed in HUES7-treated and control cells.
Finally, when the expression of the pluripotency genes OCT4, NANOG and SOX2 was analysed in hESCs, no differences were found between the different H2O2 treatments (Fig. 2m–o) and control untreated cells, also consistent with the microarray data, demonstrating that the oxidative treatment was not affecting the status of pluripotency.
Correlation with a single-cell RNA-seq profiling dataset of IVF-derived human embryos. CNBP and NEDD1 gene expression analysis in treated hESC and somatic cells
It is well known that during in vitro culture the oocytes and afterwards the early cleaving embryos are exposed to oxidative stress that accumulated over time . To further validate and characterise the effect of oxidative stress on embryonic cells, we conducted a comparative analysis of our microarray data with the single-cell RNA-seq profiling data obtained from in vitro cultured human preimplantation embryos , which also are exposed to some extent to oxidative stress conditions. These data included seven early stages of human preimplantation embryonic development: oocyte, zygote, 2-cell, 4-cell, 8-cell, morula and blastocyst. We found two top genes overlapping between comparisons made in the two datasets: CNBP (CCHC-type zinc finger, nucleic acid binding protein), also known as ZNF9, and NEDD1 (neural precursor, developmentally downregulated 1).
In the human IVF embryo transcriptome data, we saw that both genes were highly expressed in oocyte, prior to downregulation at 4-cell stage. CNBP gene showed an increased expression at 8-cell and morula stages compared to 4-cell stage, whereas NEDD1 gene was downregulated at 8-cell and blastocyst stage compared to 4-cell stage. Both genes have been identified as pivot genes, taking into account both the expression data and the curated physical and genetic interaction network downloaded from BioGrid. CNBP has significantly more interactions with a functional gene module, which is significantly involved in the biological processes such as translational termination, SRP-dependent co-translational protein targeting to membrane, translational elongation, nuclear-transcribed mRNA catabolic process, nonsense-mediated decay, translational initiation and viral transcription. And NEDD1 is a pivot gene which crosstalks with two functional gene modules: one is involved in the biological processes of toxin transport, binding of sperm to zona pellucida and ‘de novo’ posttranslational protein folding; while the other is related with cilium assembly, G2/M transition of mitotic cell cycle, centriole replication, spindle assembly, microtubule bundle formation and determination of left/right symmetry.
Immunocytochemistry analysis demonstrates that the number of human embryonic stem cells with abnormal centrosome number increases with H2O2 treatment
Although it was not possible to co-stain cells for centrosomal together with senescent markers, on the basis of cytotoxic analysis done previously, it possible to observe that abnormal centrosomes occurs in the limit of non-cytotoxicity, when the cells start to become morphologically senescent according to the AlamarBlue© results (Additional file 5: Fig. S4).
Immunocytochemistry analysis demonstrates that the number of Hs27 cells with abnormal centrosome number increases with H2O2 treatment
In HUVEC the total percentage of cells with more than two centrosomes is not affected by any H2O2 timing of treatment
Quantification of the centrosomal dots at 2 h, 24 h and 4-day treatment in HUVEC control compared with treated cells indicated no significant differences for any H2O2 treatment, not showing any raise relative to the amount of cells with more than two centrosomes in comparison with control (approximately 2.5%) to treated cells (Fig. 6d). In control HUVEC most of the cells presented the expected staining with only one or two dots corresponding with the γ-tubulin (Fig. 6f1). However, compared with the other cell lines, there was an increased proportion of HUVEC that displayed more than two centrosome dots (Fig. 6f2). In the treated and non-treated HUVEC with more than two centrosomes, (Fig. 6f3, 4 μM and f4, 16 μM), the number of centrosomes fragments was equally distributed between three to five or more (Fig. 6e). In most cases, where there were multiple centrosomal dots, they usually showed smaller in size and clustered (Fig. 6f4). These data suggest that HUVEC are more resistant to H2O2 treatment compared to HUES7 and HUES3 cells.
For decades researchers have used cell culture to analyse the effect of oxidative stress, generating a large body of literature with sometime controversial results. In this work we propose a 72-hour oxidative stress in vitro model and we provide an analysis of changes in global gene expression of hESCs exposed to H2O2 within the non-cytotoxic range. Furthermore, we present a comparative study between hES and somatic cells under oxidative stress conditions and we describe the presence of centrosome abnormalities as senescence markers.
The way in which ESCs respond to oxidative stress is still largely unknown. Although other authors have reported that ESCs have a remarkable recovery capacity against oxidative stress and are more resistant than their differentiated fibroblastic progenies [7, 41], we have observed the toxic effect of H2O2 on cell viability at similar concentrations in both Hs27 and hESCs. This can be explained by the ESC sensitivity when the exposure to H2O2 occurs continuously . Besides that, it has been suggested that the defensive mechanisms could be more effective in cells that have been more exposed to acute variations in the environment during evolution and specially in cells that carry a huge sensitivity to particular stresses and engage more in maintaining homeostasis . In our study, HUVEC showed higher resistance to H2O2 exposure and this finding could be linked to the fact that endothelial cells in vivo are constantly exposed to shear stress, thereby producing an impact on cellular metabolism, structure and function , ultimately making them stronger against damage caused by H2O2 and potentially more active in its elimination.
It has been described that oxidative stress induces an altered redox status in the cell, modifying DNA by transcriptional mediators such as high ROS levels . Given the oxidative stress status, the challenge for the cell is to develop mechanisms to counteract the negative oxidative effects in order to survive. The variability in gene expression that we have seen between different HUES3 replicates agrees with their heterogeneity in development, which is an important feature of early human embryos  and also of individual ES cells. On the other hand the focus on the non-cytotoxic range of H2O2 of exposure that was chosen in this study implies that only subtle but critical changes, specifically due to oxidative stress, were the target of our investigation. In any case, with our oxidative stress model we have identified an important number of molecular pathways modified and reported differences in gene expression between control and non-cytotoxic doses of H2O2. More specifically, we have identified a total of 1054 dysregulated genes, being 569 upregulated and 485 downregulated in comparison to control cells. The substantial differences in transcript number in each category of the Venn diagrams illustrates the magnitude of the variation between treatments conditions that, however, do not induce gross morphological changes in the exposed cells.
The importance of diverse components involved in the correct oxidation-reduction processes in the pluripotent embryo stages has been described in previous studies [33, 45]. The activity of many eukaryotic crucial cellular nucleophiles and their capacity to interact with critical enzymes is modulated by redox changes as previously reported . In our study, NADH dehydrogenase (ubiquinone) 1 alpha subcomplex 3 (NDUFA3), peroxiredoxins 2 and 5 (PRDXs 2 and 5) and cytochrome C oxidase assembly protein (SCO2) were upregulated in H2O2 treated cells, a finding that agrees with several of the reported studies demonstrating changes of gene expression in response to oxidant agents [47, 48].
Furthermore, oxidative stress is also associated with several age-related diseases and the physiological process of ageing . NDUFA3 together with SCO2 are essential enzymes in the electron transport chain that are responsible for maintaining the proton gradient across the inner mitochondrial membrane, process that is essential for the aerobic production of ATP. Their upregulation could contribute to telomere shortening and therefore pathological ageing under oxidative stress conditions [18, 49], modifications that could have long-term deleterious effects especially in the pluripotent cells of the early embryo .
Considering peroxiredoxin enzymes, their increased expression levels in embryonic cells support the DOHaD concept and the existence of an interesting association between expression perturbation of PRDX isoform 2 and long-term metabolic diseases and cardiovascular risks  and can suggest a novel therapeutic strategy for treating metabolic disorders .
Pyruvate, produced through the metabolism of glucose, and glucose itself constitute the main sources of energy for oocytes and preimplantation embryos . The sub-optimum glucose culture conditions for oocytes, embryos and stem cells have been suggested to promote failure of resumption and completion of meiosis, decreased cytoplasmic maturation and diminished developmental potential . In the quite complex glucose metabolism, many genes and enzymes contribute to the serial reactions necessary for its glycolytic breakdown . In our study we found several upregulated genes related with sugars and sterol metabolism such as aldo-keto reductase family 1 member A1 (AKR1A1) and transmembrane 7 superfamily member 2 (TM7SF2). Previous studies in AKR1 family reductases revealed its involvement in diabetes complications in human and porcine models  and moreover its upregulated expression has been observed in rat tissues treated with submicromolar concentrations of H2O2, suggesting that this enzyme family acts as a defence system against oxidative stress . Meanwhile the upregulation of TM7SF2 has been implicated in oncogenesis and cancer progression , but further studies are needed to understand this phenomenon and its role during oxidative stress challenge.
Other genes such as aldehyde dehydrogenase 1 family, member B1 (ALDHB1B1), dolichyl-phosphate β-glucosyltransferase (ALG5) and sorbitol dehydrogenase (SORD) were found to be downregulated after H2O2 exposure. The aldehyde dehydrogenases family is responsible for metabolizing endogenous and exogenous aldehydes and thereby mitigating oxidative/electrophilic stress in the organism. Many forms of ALDHs have appeared during evolution in single and multicellular organisms, and mostly have analogous functions, providing protection against environmental stresses . Interestingly, for the validation of our oxidative stress model, the alterations of ALDHs are associated with several human pathological conditions, mainly related with oxidative stress and lipid peroxidation . In mammals the downregulation of ALDH family members has been described under ethanol stress, leading to the downregulation of mitochondrial glutathione levels ; although the underlying mechanisms is yet to be fully elucidated, such downregulation would induce ROS accumulation and, afterwards, increased oxidative stress .
It is well known that hyperglycaemia increases the rates of glucose metabolism via glycolysis and the SORD gene pathway [62, 63], but the importance of SORD downregulation and its contribution to oxidative stress and diabetic complications in human in vivo and vitro models remains unclear.
Other important pathways affected by oxidative stress
TNFSF9 gene encodes for a cytokine belonging to the tumour necrosis factor (TNF) ligand family, which are one of the stronger physiological inducers of the nuclear transcription factor NF-kappa B . In our HUES3-treated cells we have seen an increase of TNFSF9 gene expression that other authors have demonstrated previously in the microvascular cells of glycemic rats compared to the retinas obtained from normal animals. This mechanism has been related to the regulation of the apoptosis machinery, contributing to delay the progression of diabetic retinopathy .
Related to the mismatch repair (MMR) system, we have shown in treated cells the downregulation of the PMS1 gene, involved in the single-base mismatches correction and small insertion/deletion loops that arise during DNA replication. This finding agrees with the hypothesis that oxidative stress together with chronic inflammation might damage some components of the MMR protein system, causing its functional inactivation . This suggests that non-cytotoxic levels of H2O2 can block and inactivate the MMR system in a dose-dependent way.
Related to the upregulation of the Jumonji domain-containing 6 (JMJD) gene expression shown in this study, recent literature provides evidences of its implication as an oxygen sensor in the human placenta, functioning as a mediator of the hypoxic gene expression . However, its upregulation in embryonic cells under oxidative stress conditions remains to be elucidated.
Finally, accordingly to previous results , oxidative stress did not alter the expression of pluripotency genes, demonstrating that the oxidative treatment, in the not cytotoxic range, does not affect embryonic stem cells pluripotency and most likely, although not tested in this study, the ability to differentiate into cells and tissues of the three primary germ layers.
Correlation between a published single-cell RNA-seq profiling dataset of IVF-derived human embryos and our microarray data of hESC exposed to H2O2
It is well known that during in vitro culture the oocytes and afterwards the early cleaving embryos are exposed to oxidative stress that accumulated over time. Here we propose a novel comparative analysis integrating an already published global gene expression by single-cell RNA-seq profiling of individual human oocytes and embryos derived from assisted reproduction procedures (ART)  and the global gene expression profiling of hESCs exposed to non-cytotoxic oxidative stress conditions obtained in this study. The top two common and differentially expressed genes were CNBP (CCHC-type zinc finger, nucleic acid binding protein) or also called ZNF9, and NEDD1 (neural precursor, developmentally downregulated 1).
CNBP is implicated in the regulation of numerous genes, such as the c-myc proto-oncogene promoter  although in another study it has been the significant reduction of CNBP transcripts occurred after the repression of c-myc, which indicated that other mechanisms, besides lowering CNBP transcript numbers, contribute to trigger the downregulation of c-myc. In any case, the fast decrease of c-myc levels is considered a crucial step causing apoptosis in cancer , Alzheimer disease  and cellular stress . Our results demonstrate that the H2O2 oxidative stress treatment induces a downregulation in CNBP gene expression in hESC and Hs27 fibroblasts. Interestingly, HUVEC was the only cell line in which we have not seen this lower gene expression in treated cells. The absence of effects on CNBP gene expression could be explained by the more gradual slope of the viability curve of HUVEC in comparison with the other somatic and embryonic cells lines .
NEDD1 protein is located in the centrosome and binds the γ-tubulin ring complex with the mitotic spindle, which is responsible of the nucleation of microtubules . Given that the reduction of NEDD1 expression is responsible for centrosomal abnormalities  in our study the integrity of the centrosome was evaluated at different timing of H2O2 treatments in both embryonic and somatic lines at non-cytotoxic and cytotoxic concentrations. Our results demonstrate that the non-cytotoxic treatment induces a downregulation of NEDD1 gene expression in hESC and Hs27 fibroblasts and consequently an increased number of cells with supernumerary centrosomes at 2 h, 24 h and 72 h treatments, although this increase was only significant at 24 h for a concentration range between the non-cytotoxic and the cell injury starting point (H2O2 dose-response curves viability for HUES3, HUES7, Hs27 and HUVEC treated during 24 h shown in Additional file 2: Figure S1). As NEDD1 is important in the processes of centriole assembly and duplication , it would be logical to expect that its downregulation may result in a decreased number of centrosomes, instead of more centrosomes spots as we detected in our study. Moreover higher centrosome number is frequently linked to tumorigenesis , therefore it was not an expected finding in senescence cells. To justify our observations, we hypothesize that the abnormal centrosomes observed in cells cultured under H2O2 conditions may derive from fragmentation or incorrect assembly, rather than overamplification. In fact, one of the characteristics of senescent cells in culture displaying an abnormally high proportion of centrosomal structures is that these dots are often smaller in treated cells than in non-treated ones, an observation that supports the hypothesis of fragmented centrosomes. Interestingly, the loss of NEDD1 function has been indicated as a possible cause of centrosome fragmentation in senescent mouse embryonic fibroblasts  and in HeLa cells . In our study we found a relatively low percentage of cells with supernumerary centrosomes: 6% for hESC and 12% for Hs27 cells, this is likely an underestimation because abnormal centrosomes can produce aberrant mitosis with non-viable daughter cells, and consequently these abnormal cells may have degenerated before the analysis. Our results agree with a work done in human Chang liver cells where the authors have demonstrated that 20% of cells exposed to low doses of H2O2 accumulated an increased number of centrosomes, compared with 5–7% of controls .
Curiously, in agreement with the gene expression results previously described for CNBP, HUVEC was the only cell line in which we have not detected either a decrease of NEDD1 expression, or an increase of centrosome fragmentation at any H2O2 treatment time. Again, this no effect on endothelial cells could be explained by the different gradual slope of the viability curve in comparison with the other somatic and embryonic cells lines . This confirms that endothelial cells have special, or at least different, damage removal systems in order to avoid oxidative damage of cell membrane and signal transduction pathways finally being more resistant to H2O2 exposure.
Our data provides relevant knowledge on the gene expression profiles of hESC exposed to H2O2 non-cytotoxic concentrations during 72 h. Moreover, the observation that embryonic cells accumulate supernumerary centrosomes under oxidative stress conditions in a different way than somatic cells, contributes to the argument that ES cells are a valuable and unique model to study the consequences of an oxidative environment on the early embryo. Therefore this study offers new opportunities to investigate how an oxidative stress environment can affect the pluripotent cells of the early embryo in vitro; the findings reported can also be a basis to facilitate the identification of antioxidant treatments in order to improve embryo culture conditions.
HUES3 and HUES7 cells were kindly provided by D. Melton from Harvard Stem Cells Institute under specific Material Transfer Agreement to our colleague Prof. Cesare Galli. The technical support of Gabriella Crotti and Paola Turini is greatly acknowledged.
This work was supported by the European Commission through the EpiHealthNet Marie Curie ITN Project number 317146-FP7-People-2012-ITN and by the EpiHealth project EU FP7 number 278418.
MB designed the study, carried out the cellular and molecular analyses and prepared the manuscript. HS carried out the microarray gene expression study and assisted in manuscript preparation. HX carried out the identification of pivot genes and assisted in manuscript preparation. SC assisted in the design of the study. CG coordinated the study. PL participated in the identification of pivot genes analysis. MT participated in the coordination of the bioinfomatic analysis and assisted in manuscript preparation. GL conceived the study, participated in its design and coordination and assisted in manuscript preparation. All authors read and approved the final manuscript.
The authors declare that there is no conflict of interest regarding the publication of this manuscript. MWBT is an employee of the participating institution, Celgene Research SLU (CITRE), part of Celgene Corporation, and declares no competing interests.
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- Negre-Salvayre A, et al. Hyperglycemia and glycation in diabetic complications. Antioxid Redox Signal. 2009;11(12):3071–109.View ArticlePubMedGoogle Scholar
- Valko M, et al. Free radicals and antioxidants in normal physiological functions and human disease. Int J Biochem Cell Biol. 2007;39(1):44–84.View ArticlePubMedGoogle Scholar
- Halliwell B, Whiteman M. Measuring reactive species and oxidative damage in vivo and in cell culture: how should you do it and what do the results mean? Br J Pharmacol. 2004;142(2):231–55.View ArticlePubMedPubMed CentralGoogle Scholar
- Kehrer JP, Klotz LO. Free radicals and related reactive species as mediators of tissue injury and disease: implications for health. Crit Rev Toxicol. 2015;45(9):765–98.View ArticlePubMedGoogle Scholar
- Halliwell B. Cell culture, oxidative stress, and antioxidants: avoiding pitfalls. Biomed J. 2014;37(3):99–105.PubMedGoogle Scholar
- Guo YL, et al. Effects of oxidative stress on mouse embryonic stem cell proliferation, apoptosis, senescence, and self-renewal. Stem Cells Dev. 2010;19(9):1321–31.View ArticlePubMedPubMed CentralGoogle Scholar
- George S, et al. Comparison of the response of human embryonic stem cells and their differentiated progenies to oxidative stress. Photomed Laser Surg. 2009;27(4):669–74.View ArticlePubMedGoogle Scholar
- Ramalho-Santos J, et al. Mitochondrial functionality in reproduction: from gonads and gametes to embryos and embryonic stem cells. Hum Reprod Update. 2009;15(5):553–72.View ArticlePubMedGoogle Scholar
- Cho YM, et al. Dynamic changes in mitochondrial biogenesis and antioxidant enzymes during the spontaneous differentiation of human embryonic stem cells. Biochem Biophys Res Commun. 2006;348(4):1472–8.View ArticlePubMedGoogle Scholar
- Barker DJ. The origins of the developmental origins theory. J Intern Med. 2007;261(5):412–7.View ArticlePubMedGoogle Scholar
- Lombard DB, et al. DNA repair, genome stability, and aging. Cell. 2005;120(4):497–512.View ArticlePubMedGoogle Scholar
- Tinari A, et al. Analyzing morphological and ultrastructural features in cell death. Methods Enzymol. 2008;442:1–26.View ArticlePubMedGoogle Scholar
- Davies KJ. The broad spectrum of responses to oxidants in proliferating cells: a new paradigm for oxidative stress. IUBMB Life. 1999;48(1):41–7.View ArticlePubMedGoogle Scholar
- Maynard S, et al. Human embryonic stem cells have enhanced repair of multiple forms of DNA damage. Stem Cells. 2008;26(9):2266–74.View ArticlePubMedPubMed CentralGoogle Scholar
- Chaudhari P, Ye Z, Jang YY. Roles of reactive oxygen species in the fate of stem cells. Antioxid Redox Signal. 2014;20(12):1881–90.View ArticlePubMedPubMed CentralGoogle Scholar
- Gulden M, et al. Cytotoxic potency of H2O2 in cell cultures: impact of cell concentration and exposure time. Free Radic Biol Med. 2010;49(8):1298–305.View ArticlePubMedGoogle Scholar
- Stone JR, Yang S. Hydrogen peroxide: a signaling messenger. Antioxid Redox Signal. 2006;8(3-4):243–70.View ArticlePubMedGoogle Scholar
- Duan J, et al. Irreversible cellular senescence induced by prolonged exposure to H2O2 involves DNA-damage-and-repair genes and telomere shortening. Int J Biochem Cell Biol. 2005;37(7):1407–20.View ArticlePubMedGoogle Scholar
- Barandalla, M., S. Colleoni, and G. Lazzari, Differential response of human embryonic stem and somatic cells to non-cytotoxic hydrogen peroxide exposure: an attempt to model in vitro the effects of oxidative stress on the early embryo. Cell Dev Biol. 2016;5(2).Google Scholar
- Pietenpol JA, Stewart ZA. Cell cycle checkpoint signaling: cell cycle arrest versus apoptosis. Toxicology. 2002;181–182:475–81.View ArticlePubMedGoogle Scholar
- Zhang H. Molecular signaling and genetic pathways of senescence: its role in tumorigenesis and aging. J Cell Physiol. 2007;210(3):567–74.View ArticlePubMedGoogle Scholar
- Doxsey S, Zimmerman W, Mikule K. Centrosome control of the cell cycle. Trends Cell Biol. 2005;15(6):303–11.View ArticlePubMedGoogle Scholar
- Schatten H, Sun QY. The role of centrosomes in fertilization, cell division and establishment of asymmetry during embryo development. Semin Cell Dev Biol. 2010;21(2):174–84.View ArticlePubMedGoogle Scholar
- Palermo GD, Colombero LT, Rosenwaks Z. The human sperm centrosome is responsible for normal syngamy and early embryonic development. Rev Reprod. 1997;2(1):19–27.View ArticlePubMedGoogle Scholar
- Spits C, et al. Recurrent chromosomal abnormalities in human embryonic stem cells. Nat Biotechnol. 2008;26(12):1361–3.View ArticlePubMedGoogle Scholar
- Cowan CA, et al. Derivation of embryonic stem-cell lines from human blastocysts. N Engl J Med. 2004;350(13):1353–6.View ArticlePubMedGoogle Scholar
- Holubcova Z, et al. Human embryonic stem cells suffer from centrosomal amplification. Stem Cells. 2011;29(1):46–56.View ArticlePubMedGoogle Scholar
- Conduit PT, Wainman A, Raff JW. Centrosome function and assembly in animal cells. Nat Rev Mol Cell Biol. 2015;16(10):611–24.View ArticlePubMedGoogle Scholar
- Haren L, et al. NEDD1-dependent recruitment of the gamma-tubulin ring complex to the centrosome is necessary for centriole duplication and spindle assembly. J Cell Biol. 2006;172(4):505–15.View ArticlePubMedPubMed CentralGoogle Scholar
- Manning JA, et al. A direct interaction with NEDD1 regulates gamma-tubulin recruitment to the centrosome. PLoS One. 2010;5(3):e9618.View ArticlePubMedPubMed CentralGoogle Scholar
- Manning JA, Kumar S. A potential role for NEDD1 and the centrosome in senescence of mouse embryonic fibroblasts. Cell Death Dis. 2010;1:e35.View ArticlePubMedPubMed CentralGoogle Scholar
- Adjaye J. Whole-genome approaches for large-scale gene identification and expression analysis in mammalian preimplantation embryos. Reprod Fertil Dev. 2005;17(1-2):37–45.View ArticlePubMedGoogle Scholar
- Zhang P, et al. Transcriptome profiling of human pre-implantation development. PLoS One. 2009;4(11):e7844.View ArticlePubMedPubMed CentralGoogle Scholar
- Yan L, et al. Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells. Nat Struct Mol Biol. 2013;20(9):1131–9.View ArticlePubMedGoogle Scholar
- Wagner GP, Kin K, Lynch VJ. Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples. Theory Biosci. 2012;131(4):281–5.View ArticlePubMedGoogle Scholar
- Stark C, et al. BioGRID: a general repository for interaction datasets. Nucleic Acids Res. 2006;34(database issue):D535–9.View ArticlePubMedGoogle Scholar
- Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Royal Stat Soc. 1995;52(1):289–300.Google Scholar
- Enright AJ, Van Dongen S, Ouzounis CA. An efficient algorithm for large-scale detection of protein families. Nucleic Acids Res. 2002;30(7):1575–84.View ArticlePubMedPubMed CentralGoogle Scholar
- Shi L, et al. The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements. Nat Biotechnol. 2006;24(9):1151–61.View ArticlePubMedGoogle Scholar
- Yu S, et al. Protective effect of quercetin on the development of preimplantation mouse embryos against hydrogen peroxide-induced oxidative injury. PLoS One. 2014;9(2):e89520.View ArticlePubMedPubMed CentralGoogle Scholar
- Saretzki G, et al. Downregulation of multiple stress defense mechanisms during differentiation of human embryonic stem cells. Stem Cells. 2008;26(2):455–64.View ArticlePubMedGoogle Scholar
- Edwards MG, et al. Age-related impairment of the transcriptional responses to oxidative stress in the mouse heart. Physiol Genomics. 2003;13(2):119–27.View ArticlePubMedGoogle Scholar
- Coyle CH, et al. Mechanisms of H2O2-induced oxidative stress in endothelial cells. Free Radic Biol Med. 2006;40(12):2206–13.View ArticlePubMedGoogle Scholar
- Shaw L, et al. Global gene expression profiling of individual human oocytes and embryos demonstrates heterogeneity in early development. PLoS One. 2013;8(5):e64192.View ArticlePubMedPubMed CentralGoogle Scholar
- Kimber SJ, et al. Expression of genes involved in early cell fate decisions in human embryos and their regulation by growth factors. Reproduction. 2008;135(5):635–47.View ArticlePubMedGoogle Scholar
- Espinosa-Diez C, et al. Antioxidant responses and cellular adjustments to oxidative stress. Redox Biol. 2015;6:183–97.View ArticlePubMedPubMed CentralGoogle Scholar
- Marinho HS, et al. Hydrogen peroxide sensing, signaling and regulation of transcription factors. Redox Biol. 2014;2:535–62.View ArticlePubMedPubMed CentralGoogle Scholar
- Mathers J, et al. Antioxidant and cytoprotective responses to redox stress. Biochem Soc Symp. 2004;71:157–76.View ArticleGoogle Scholar
- Starr JM, et al. Oxidative stress, telomere length and biomarkers of physical aging in a cohort aged 79 years from the 1932 Scottish Mental Survey. Mech Ageing Dev. 2008;129(12):745–51.View ArticlePubMedGoogle Scholar
- Flores I, Blasco MA. The role of telomeres and telomerase in stem cell aging. FEBS Lett. 2010;584(17):3826–30.View ArticlePubMedGoogle Scholar
- El Eter E, Al-Masri AA. Peroxiredoxin isoforms are associated with cardiovascular risk factors in type 2 diabetes mellitus. Braz J Med Biol Res. 2015;48(5):465–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhou Y, et al. Sulfiredoxin-1 attenuates oxidative stress via Nrf2/ARE pathway and 2-Cys Prdxs after oxygen-glucose deprivation in astrocytes. J Mol Neurosci. 2015;55(4):941–50.View ArticlePubMedGoogle Scholar
- Leese HJ. Metabolism of the preimplantation embryo: 40 years on. Reproduction. 2012;143(4):417–27.View ArticlePubMedGoogle Scholar
- Sutton-McDowall ML, Gilchrist RB, Thompson JG. The pivotal role of glucose metabolism in determining oocyte developmental competence. Reproduction. 2010;139(4):685–95.View ArticlePubMedGoogle Scholar
- El-Kabbani O, et al. Structures of human and porcine aldehyde reductase: an enzyme implicated in diabetic complications. Acta Crystallogr D Biol Crystallogr. 1994;50(Pt 6):859–68.View ArticlePubMedGoogle Scholar
- Endo S, et al. Characterization of a rat NADPH-dependent aldo-keto reductase (AKR1B13) induced by oxidative stress. Chem Biol Interact. 2009;178(1-3):151–7.View ArticlePubMedGoogle Scholar
- Daniels TR, et al. Disruption of HOX activity leads to cell death that can be enhanced by the interference of iron uptake in malignant B cells. Leukemia. 2010;24(9):1555–65.View ArticlePubMedPubMed CentralGoogle Scholar
- Jacobs AT, Marnett LJ. Systems analysis of protein modification and cellular responses induced by electrophile stress. Acc Chem Res. 2010;43(5):673–83.View ArticlePubMedPubMed CentralGoogle Scholar
- Jackson B, et al. Update on the aldehyde dehydrogenase gene (ALDH) superfamily. Hum Genomics. 2011;5(4):283–303.View ArticlePubMedPubMed CentralGoogle Scholar
- Ohta S, Ohsawa I. Dysfunction of mitochondria and oxidative stress in the pathogenesis of Alzheimer's disease: on defects in the cytochrome c oxidase complex and aldehyde detoxification. J Alzheimers Dis. 2006;9(2):155–66.View ArticlePubMedGoogle Scholar
- Singh S, et al. Aldehyde dehydrogenases in cellular responses to oxidative/electrophilic stress. Free Radic Biol Med. 2013;56:89–101.View ArticlePubMedGoogle Scholar
- Kaneto H, Matsuoka TA. Involvement of oxidative stress in suppression of insulin biosynthesis under diabetic conditions. Int J Mol Sci. 2012;13(10):13680–90.View ArticlePubMedPubMed CentralGoogle Scholar
- Williamson JR, Ido Y. Linking diabetic complications to sorbitol oxidation, oxidative stress and metabolic suppression. J Diabetes Metab. 2012;3:219.View ArticleGoogle Scholar
- Ndisang JF. Role of heme oxygenase in inflammation, insulin-signalling, diabetes and obesity. Mediators Inflamm. 2010;2010:359732.View ArticlePubMedPubMed CentralGoogle Scholar
- Kowluru RA, Chan PS. Metabolic memory in diabetes - from in vitro oddity to in vivo problem: role of apoptosis. Brain Res Bull. 2010;81(2-3):297–302.View ArticlePubMedGoogle Scholar
- Chang CL, et al. Oxidative stress inactivates the human DNA mismatch repair system. Am J Physiol Cell Physiol. 2002;283(1):C148–54.View ArticlePubMedGoogle Scholar
- Alahari S, Post M, Caniggia I. Jumonji domain containing protein 6: a novel oxygen sensor in the human placenta. Endocrinology. 2015;156(8):3012–25.View ArticlePubMedGoogle Scholar
- Chen S, et al. Mechanistic studies for the role of cellular nucleic-acid-binding protein (CNBP) in regulation of c-myc transcription. Biochim Biophys Acta. 2013;1830(10):4769–77.View ArticlePubMedGoogle Scholar
- Brachat A, et al. Comparative microarray analysis of gene expression during apoptosis-induction by growth factor deprivation or protein kinase C inhibition. Oncogene. 2000;19(44):5073–82.View ArticlePubMedGoogle Scholar
- Li Q, Sudhof TC. Cleavage of amyloid-beta precursor protein and amyloid-beta precursor-like protein by BACE 1. J Biol Chem. 2004;279(11):10542–50.View ArticlePubMedGoogle Scholar
- Rojas M, et al. Yeast Gis2 and its human ortholog CNBP are novel components of stress-induced RNP granules. PLoS One. 2012;7(12):e52824.View ArticlePubMedPubMed CentralGoogle Scholar
- Kujoth GC, et al. Mitochondrial DNA mutations, oxidative stress, and apoptosis in mammalian aging. Science. 2005;309(5733):481–4.View ArticlePubMedGoogle Scholar
- Tillement V, et al. The centrosome protein NEDD1 as a potential pharmacological target to induce cell cycle arrest. Mol Cancer. 2009;8:10.View ArticlePubMedPubMed CentralGoogle Scholar
- Fukasawa K. Centrosome amplification, chromosome instability and cancer development. Cancer Lett. 2005;230(1):6–19.View ArticlePubMedGoogle Scholar
- Luders J, Patel UK, Stearns T. GCP-WD is a gamma-tubulin targeting factor required for centrosomal and chromatin-mediated microtubule nucleation. Nat Cell Biol. 2006;8(2):137–47.View ArticlePubMedGoogle Scholar
- Chae S, et al. Centrosome amplification and multinuclear phenotypes are induced by hydrogen peroxide. Exp Mol Med. 2005;37(5):482–7.View ArticlePubMedGoogle Scholar