Advertisement
Research Article
STAT3 modulates reprogramming efficiency of human somatic cells; insights from autosomal dominant Hyper IgE syndrome caused by STAT3 mutations
Zhen Yu, Natalia I. Dmitrieva, Avram D. Walts, Hui Jin, Yangtengyu Liu, Xianfeng Ping, Elisa A. Ferrante, Lugui Qiu, Steven M. Holland, Alexandra F. Freeman, Guibin Chen, Manfred Boehm
Biology Open 2020 9: bio052662 doi: 10.1242/bio.052662 Published 10 September 2020

ABSTRACT

Human induced pluripotent stem cell (iPSC) technology has opened exciting opportunities for stem-cell-based therapy. However, its wide adoption is precluded by several challenges including low reprogramming efficiency and potential for malignant transformation. Better understanding of the molecular mechanisms of the changes that cells undergo during reprograming is needed to improve iPSCs generation efficiency and to increase confidence for their clinical use safety. Here, we find that dominant negative mutations in STAT3 in patients with autosomal-dominant hyper IgE (Job's) syndrome (AD-HIES) result in greatly reduced reprograming efficiency of primary skin fibroblasts derived from skin biopsies. Analysis of normal skin fibroblasts revealed upregulation and phosphorylation of endogenous signal transducer and activator of transcription 3 (STAT3) and its binding to the NANOG promoter following transduction with OKSM factors. This coincided with upregulation of NANOG and appearance of cells expressing pluripotency markers. Upregulation of NANOG and number of pluripotent cells were greatly reduced throughout the reprograming process of AD-HIES fibroblasts that was restored by over-expression of functional STAT3. NANOGP8, the human-specific NANOG retrogene that is often expressed in human cancers, was also induced during reprogramming, to very low but detectable levels, in a STAT3-dependent manner. Our study revealed the critical role of endogenous STAT3 in facilitating reprogramming of human somatic cells.

INTRODUCTION

Pluripotent cells have the ability to generate all somatic lineages. In vivo, the property of pluripotency exists transiently in the inner cell mass (ICM) of the epiblast, a transient tissue that persist only for a few days. Isolation of cells at this stage and derivation of embryonic stem-cell (ESC) lines has made it possible to maintain pluripotency in culture indefinitely as long as they are maintained in a cell culture environment capable of inducing a transcriptional profile and epigenetic states resembling those of pluripotent epiblast cells (Hanna et al., 2010b; Nichols and Smith, 2012; Weinberger et al., 2016). Another source of pluripotent cell lines is the direct in vitro reprograming of somatic cells to pluripotency by ectopic expression of defined factors, yielding induced pluripotent stem cells (iPSCs) (Takahashi et al., 2007; Takahashi and Yamanaka, 2006).

Human iPSC technology has opened exciting opportunities for stem-cell-based therapies and has already been successfully used for applications such as in vitro disease modeling and drug screening (Inoue et al., 2014; Shi et al., 2017). However, despite great progress, several important issues remain to be addressed before this technology can be widely adopted for clinical use. These challenges include low reprograming efficiency, heterogeneity of iPSCs (mixture of cells at different states of pluripotency, Weinberger et al., 2016) with current protocols resulting in inefficient and inconsistent differentiation, and predisposition to mutations due to long-term culturing (Inoue et al., 2014; Shi et al., 2017). Better understanding of the molecular mechanisms of the changes that these cells undergo during reprograming is needed to improve the generation of homogeneous iPSC, mimicking pluripotent cells of preimplantation embryos that can be safely used in clinical practice (Koche et al., 2011; Polo et al., 2012; Takahashi and Yamanaka, 2016).

This study addresses the role of signal transducer and activator of transcription 3 (STAT3) in reprograming of human somatic cells into iPSC. In conjunction with core pluripotency transcription factors such as Oct4, Sox2 and NANOG, STAT3 occupies a central place in stem-cell signaling networks that regulate maintenance of pluripotency and self-renewal both in vivo and in ESCs and iPSCs cell lines in vitro (Nichols and Smith, 2012; Onishi and Zandstra, 2015). In the mouse embryo, STAT3 is highly expressed in oocytes and regulates the OCT4–NANOG circuitry necessary to maintain the pluripotent ICM, the source of in vitro-derived ESCs (Do et al., 2013). In vitro, maintenance of mouse ESC lines without the feeder layer of fibroblasts became possible when a strong activator of STAT3, leukemia inhibitory factor (LIF), was identified as the single factor that provides the ‘differentiation inhibitory activity’ originally produced by the feeder layer (Smith et al., 1988; Williams et al., 1988). Activation of STAT3 by LIF was found to be the driving mechanism and artificially-activated STAT3 could thus be used to sustain ESC self-renewal in the absence of LIF (Matsuda et al., 1999; Niwa et al., 1998; Raz et al., 1999). Further, inhibition of the simultaneously LIF activated MAPK/Erk pathway, which promotes differentiation, helped achieve more stable pluripotent states (Burdon et al., 1999, 2002). These findings identified STAT3 signaling as a major driving force for pluripotency maintenance and made it possible to culture ESC in defined serum-free medium with LIF and inhibitors of two kinases (Mek and GSK3) that promote differentiation, a condition known as 2i (Ying et al., 2008).

While LIF/STAT3 signaling has become a hallmark of pluripotency in rodent pluripotent stem cells, LIF has failed to support self-renewal of human ES cells derived from blastocysts (Dahéron et al., 2004; Thomson et al., 1998) as well as human iPSCs obtained by direct in vitro reprogramming (Takahashi et al., 2007; Takahashi and Yamanaka, 2016). In current protocols, the self-renewal capability of human pluripotent cells in culture is dependent on fibroblast growth factor 2 (FGF2) and transforming growth factor-β/avidin signaling (Vallier et al., 2005), requiring the presence of factors modulating these signaling pathways in the culturing environment. The molecular mechanisms underlying these differences are not completely understood. Reprograming that follows the expression of OSKM factors involves a series of chromatin remodeling events with the ultimate activation of endogenous factors that drive pluripotency (Koche et al., 2011), many of which are downstream transcriptional targets of STAT3 (Chen et al., 2008; Tang et al., 2012). In this study, we have revisited the question of the role of STAT3 in human cell reprograming. To test whether endogenous STAT3 could mediate and facilitate the reprograming of human cells, we used STAT3-deficient primary skin fibroblasts derived from patients with autosomal-dominant hyper IgE (Job's) syndrome (AD-HIES). AD-HIES is a primary immunodeficiency caused by dominant negative mutations in STAT3 (Holland et al., 2007; Minegishi et al., 2007). Several dozen heterozygous mutations in the STAT3 gene that result in AD-HIES have been identified (Villarino et al., 2017; Vogel et al., 2015). These mutations are located primarily in the DNA-binding or the protein-dimerization (SH2) domains resulting in a 1:1 mixture of wild-type and mutated proteins, which allows for a residual normal function of about 20–30% STAT3 dimers composed of wild-type protein molecules (Vogel et al., 2015). Patients with both mutation types have very similar clinical presentation, suggesting that they induce similar functional deficiencies on STAT3 protein.

Here, we demonstrate that a deficiency in endogenous STAT3 in cells from AD-HIES patients greatly reduces reprograming efficiency of human somatic cells into iPSC generated with a widely used protocol using lentiviral transduction of OSKM factors and E8 media (Chen et al., 2011). This decreased derivation efficiency was accompanied by decreased upregulation of NANOG in cell cultures undergoing reprogramming, a key event in the transcriptional network reorganization during reprograming to pluripotency (Jopling et al., 2011; Saunders et al., 2013; Takahashi and Yamanaka, 2016). Our analysis revealed that endogenous STAT3 binds to the promoter of the NANOG gene during the reprograming process coinciding with its increased expression, suggesting that STAT3 might directly contribute to this upregulation. Although to a much lower extent than regular NANOG, expression of the human-specific NANOGP8 retrogene, often expressed in human cancers (Jeter et al., 2009; Jeter et al., 2011; Zhang et al., 2013, 2006), was also slightly induced by the reprograming process in a STAT3-dependent manner. The data reveal critical contributions of endogenous STAT3 to cellular remodeling of human somatic cells into pluripotent states after forced introduction of OKSM factors.

RESULTS

Reduced reprogramming efficiency of iPSCs from skin fibroblasts of AD-HIES patients harboring loss-of-function mutation in STAT3

To test whether endogenous STAT3 plays a role in the remodeling of human somatic cells to pluripotency, we generated primary skin fibroblasts derived from patients with AD-HIES harboring dominant negative mutations in STAT3 (Table 1). We employed a reprogramming procedure using lentiviral delivery of four transcription factors: human OCT4, KLF4, SOX2, and cMYC (OKSM) (Chen et al., 2011) and observed greatly reduced reprograming efficiency of primary human fibroblasts derived from skin biopsies of AD-HIES patients compared to those from healthy control volunteers (Fig. 1). By reprogramming day 21, significantly less pluripotent colonies had developed from AD-HIES fibroblasts compared to control fibroblasts, as assessed visually from the characteristic morphology of the colonies and by staining for pluripotency markers such as alkaline phosphatase (ALP) activity and TRA-1-60 (Fig. 1A,B). The analysis of finally formed iPSCs showed that, despite lower reprogramming efficiency, they expressed pluripotency markers and differentiated into three germ layers similar to control iPSCs (Jin et al., 2019). Therefore, we proceeded with more detailed analysis of the reprogramming time course.

View this table:
Table 1.

Information about AD-HIES patients harboring STAT3 mutations and control volunteers whose skin fibroblasts were used in the study

Fig. 1.
Fig. 1.

Reduced reprogramming efficiency of AD-HIES skin fibroblasts to iPSCs. Skin fibroblasts generated from seven AD-HIES patients and from four healthy volunteers (control) were subjected to the reprogramming procedure using lentiviral delivery of four transcription factors: human OCT4, KLF4, SOX2 and cMYC (OKSM) and appearance of pluripotent cells and colonies was analyzed. ALP and TRA1-60 were used as markers of pluripotency. See the Materials and Methods for more details. (A,B) At the end of 21 days of reprograming, the number of pluripotent colonies obtained from AD-HIES fibroblasts is greatly reduced as compared to control fibroblasts. (A) Representative images of pluripotent colonies. Top panels: phase contrast images. Middle panels: staining for ALP activity. Positive colonies are blue dots. Bottom panels: immunocytochemical staining for TRA1-60 (red). (B) Quantification of TRA1-60 and ALP positive colonies. Data are presented as the number of colonies per well of a six-well plate (mean±s.e.m., control n=4, AD-HIES n=7, **P<0.01, ***P<0.001, two-tailed unpaired t-test). (C) Time course of proportion of pluripotent cells throughout the reprogramming procedure. Data are presented as the percentage of double positive for ALP and TRA1-60 cells at indicated time points, analyzed by flow cytometry (mean±s.e.m., n=3, *P<0.05, **P<0.01, two-tailed unpaired t-test). See Table S1 for information about patient samples used in these experiments.

The reprogramming from somatic cells to iPSC is a stochastic process with only a minor fraction of cells expressing OKSM giving rise to iPSC colonies. It involves waves of chromatin remodeling that result in a major shift of expression profiles that affect small fractions of cells and ultimately resembles expression patterns of ESCs to then develop pluripotent colonies (Koche et al., 2011; Polo et al., 2012). In order to clarify the timing of events in the reprogramming process, we performed a time course analysis of the appearance of pluripotent cells after OKSM transduction (Fig. 1C) in AD-HIES and control cells. The number of pluripotent cells, double positive for ALP and TRA-1-60, gradually increased in transduced control fibroblasts reaching approximately 4% by day 21. By comparison, AD-HIES cells were significantly less successful: the trend to decreased number of cells expressing pluripotency markers is evident as early as day 7 with no further increase in the percentage of pluripotent cells (Fig. 1C). These results indicate that this deficiency occurs at the beginning of the reprograming process, likely affecting the initial chromatin reorganization and the expression of endogenous pluripotency drivers.

STAT3 dependence of reprogramming from human skin fibroblasts to iPSCs

To validate the functional implication of STAT3 in the reprogramming defects observed in AD-HIES cells, we investigated whether overexpression of functional wild-type STAT3 could improve reprogramming efficiency of AD-HIES fibroblasts (Fig. 2) and whether knocking down STAT3 in normal skin fibroblasts could mimic the reprogramming defects (Fig. 3). Lentiviral delivery of wild-type STAT3 elevated expression of both STAT3 mRNA (Fig. 2A) and protein (Fig. 2B) and improved reprogramming efficiency of AD-HIES fibroblasts, evident in the increased number of pluripotent colonies positive for TRA1-60 and ALP (Fig. 2C,D) by day 21 of reprogramming procedure. On the other hand, knockdown of STAT3 in BJ normal skin fibroblasts cell line (No. CRL-2522, ATCC) by STAT3 shRNA (Fig. 3A) decreased the number of pluripotent colonies formed by reprogramming day 21 as compared to control shRNA (Fig. 3B–D).

Fig. 2.
Fig. 2.

Overexpression of STAT3 restores reprogramming efficiency in AD-HIES skin fibroblasts. Fibroblasts from AD-HIES patients were transduced via lentiviral delivery with STAT3 cDNA (AD-HIES-STAT3 over) or empty vector (AD-HIES empty vector, EV), subjected to the reprogramming procedure and appearance of pluripotent colonies was analyzed as in Fig. 1. (A,B) Verification of STAT3 overexpression in AD-HIES skin fibroblasts (A) transduction increased STAT3 mRNA. Quantification was done by RT-PCR and data are presented relative to empty vector values (B) transduction increased STAT3 protein. Representative western blot. (C,D) Overexpression of wild-type STAT3 protein increased the number of pluripotent colonies formed at the end of 21 days in the reprogramming procedure. (C) Representative images of pluripotent colonies. Top panels: phase contrast images; middle panels: staining for ALP activity, positive colonies are blue dots; bottom panels: immunocytochemical staining for TRA1-60 (red). (D) Quantification of TRA1-60 and ALP positive colonies. Data are presented as the number of colonies per well of a six-well plate (mean±s.e.m., n=3, **P<0.01, ***P<0.001, two-tailed unpaired t-test). See Table S1 for information about patient samples used in these experiments.

Fig. 3.
Fig. 3.

Knockdown of STAT3 decreases reprogramming efficiency in human skin fibroblasts (BJ cell line). STAT3 shRNA was delivered into healthy control skin fibroblasts (BJ cell line) through lentiviral vector. Non-silencing control shRNA was used as control. The fibroblasts were subjected to the reprogramming procedure and pluripotent colonies were analyzed as in Fig. 1. (A) Knockdown verification. STAT3 mRNA was decreased by shRNA. Quantification was done by RT-PCR and data are presented relative to empty vector. (B,C) Knockdown of STAT3 decreased the number of pluripotent colonies formed at the end of 21 days in the reprogramming procedure. (B) Representative images of pluripotent colonies. Top panels: phase contrast images; middle panels: staining for ALP activity, positive colonies are blue dots. Bottom panels: immunocytochemical staining for TRA1-60 (red). (C) Quantification of TRA1-60 and ALP positive colonies. Data are presented as the number of colonies per well of a six-well plate (mean±s.e.m., n=3, ***P<0.001, two-tailed unpaired t-test).

These results confirm that the decreased reprogramming efficiency of AD-HIES skin fibroblasts results from the reduced function of STAT3 mediated by a disease-causing genetic mutation in the STAT3 gene. Our results further highlight the importance of endogenous STAT3 for the successful reprogramming of human skin fibroblasts to iPSC when overexpression of OKSM transcription factors is used as a reprogramming approach.

STAT3 expression and phosphorylation is increased during reprogramming, coinciding with upregulation of NANOG

Having determined that reprograming of skin fibroblasts to iPSC is STAT3-dependent, we next analyzed how STAT3 protein level and activity changes during reprogramming. Phosphorylation of STAT3 at Tyrosine 705 is required for activation of its transcriptional activity (Zhong et al., 1994). Western blot analysis demonstrated that expression level of total STAT3 protein is increased by reprogramming day 7 and remains elevated through day 21 (Fig. 4A,B, upper panel). The level of phosphorylated STAT3 follows the same time course, reaching a maximum at day 14 and decreasing by day 21 (Fig. 4A,B, lower panel). In AD-HIES cells, STAT3 expression is similarly increased but the level of phosphorylated protein is greatly reduced, suggesting that the AD-HIES STAT3 mutation does not affect expression levels but rather prevents its normal phosphorylation and activity during reprograming (Fig. 4A,B). This points to the existence of a positive feedback loop initiated by activated STAT3 for this phosphorylation process during reprograming. It is worth noting that the actual decrease in AD-HIES STAT3 transcriptional activity is even higher than would be expected from a decreased amount of phosphorylated protein, since the AD-HIES mutations do not affect the phosphorylation site but prevent STAT3 from binding to its DNA target sites.

Fig. 4.
Fig. 4.

STAT3 is upregulated and phosphorylated during reprogramming with time course coinciding with STAT3-dependent increase in expression of NANOG. Skin fibroblasts generated from AD-HIES patients and from healthy volunteers (control) were subjected to the reprogramming procedure as described in Fig. 1. STAT3 and NANOG levels were analyzed during reprogramming at indicated time points. (A,B) Western blot analysis of STAT3 protein expression and phosphorylation at tyrosine 705 associated with its transcriptional activation. (A) Representative western blot images of p-STAT3 Y705 and total STAT3. (B) Western blot quantification by densitometry, upper panel: expression of total STAT3 protein increases by day 7 and remains elevated to a similar degree in both control and AD-HIES cells; lower panel: the level of P-STAT3 Y705 gradually increases in control cells reaching a maximum at day 14 of reprogramming. P-STAT3 Y705 is greatly reduced in AD-HIES cells. Data are presented relative to STAT3/β-ACTIN of control at d0 (mean±s.e.m., n=3, *P<0.05, **P<0.01, two-tailed unpaired t-test). (C) NANOG mRNA expression gradually increases reaching a maximum at day 14. The level of NANOG mRNA is reduced in AD-HIES cells. Quantification was performed by RT-PCR (mean±s.e.m., control: n=4, AD-HIES, n=7, *P<0.05, two-tailed unpaired t-test). See Table S1 for information about patient samples used in these experiments.

During the reprograming process, changes in molecular events following OKSM transcription-factor overexpression lead to activation of endogenous pluripotency genes encoding OCT4, NANOG and SOX2 important for establishment and maintenance of the pluripotent state independent of the transgenes (Hanna et al., 2010b). NANOG upregulation is a key event in the transcriptional network reorganization that occurs during reprograming to pluripotency (Jopling et al., 2011; Saunders et al., 2013; Takahashi and Yamanaka, 2016). In mouse ESCs and iPSC, STAT3 stimulates and maintains NANOG expression upon treatment with LIF through direct binding to its specific binding sites within the NANOG gene promoter, as shown by chromatin immunoprecipitation (ChIP) (Chen et al., 2008; Do et al., 2013) and increased activity of luciferase reporter containing NANOG-promoter sequences (Suzuki et al., 2006). In order to see how deficiency in endogenous STAT3 affects NANOG upregulation during reprograming of human cells, we analyzed the expression of NANOG in relation to STAT3 expression and phosphorylation. This analysis demonstrated that NANOG mRNA expression increases in control cells as early as day 7 and continues to increase throughout the reprograming procedure reaching maximum level at day 14 (Fig. 4C) resembling the time course of STAT3 protein expression and phosphorylation. Induction of NANOG mRNA expression in AD-HIES cells was greatly attenuated, which is consistent with STAT3 dependence of NANOG reactivation during reprograming (Fig. 4C).

Preferential STAT3-dependent increase in NANOG expression as compared to NANOGP8 during reprogramming of human skin fibroblasts

Analysis of NANOG in human cells is complicated by the presence of ten very similar NANOG pseudogenes. One of them, NANOGP8, encodes a full length protein that differs by only 2–3 amino-acid changes (Booth and Holland, 2004), making it indistinguishable when analyzed by western blot or by regular qPCR as in Fig. 4C (Zhang et al., 2006). In addition to being a key regulator of pluripotency, NANOG has been described as a crucial transcription factor in various types of cancer. Several studies investigating which NANOGs were expressed in cancer cells and tissues identified that NANOGP8 was the most prevalent NANOG expressed in many human cancers and contributed to their ‘stemness’ and proliferative capacity (Jeter et al., 2009, 2011; Zhang et al., 2013, 2006). Moreover, NANOGP8 is as active as NANOG in the reprogramming process of both human and murine fibroblasts into induced pluripotent stem cells (Palla et al., 2014). With this in mind, we analyzed the relative contribution of regular NANOG and NANOGP8 in the STAT3-dependent changes modulating the expression of total NANOG during our reprogramming of skin fibroblasts into iPSCs. We used previously published approaches to distinguish NANOG and NANOGP8 mRNA based on the digestion of RT-PCR products with restriction endonuclease AlwNI, an enzyme that identifies a palindromic hexanucleotide sequence present in NANOGP8 but not in NANOG at position 144 relative to the translational start site (Zhang et al., 2013). PCR amplification of cDNA fragments containing this site and digestion of the PCR products with AlwNI showed that low levels of NANOG expressed in both control and AD-HIES skin fibroblasts (Fig. 4C) is predominantly due to NANOGP8 (Fig. 5A), whereas the increase in the total level of NANOG during reprogramming is mostly due to an increase in the expression of regular NANOG (Fig. 5B). Since NANOGP8 expression level was much lower, it was not detected on gel after 26–28 PCR cycles, while NANOG amplification was still in logarithmic phase in comparison (Fig. 5B). To further quantify changes in the level of NANOGP8, we amplified cDNA for 40 cycles and estimated the relative proportion of NANOG and NANOGP8 in the total NANOG by densitometry of their corresponding bands (Fig. 5C). We then used these data to recalculate expression levels of NANOG and NANOGP8 based on the qPCR quantification of total NANOG expression (Fig. 5D, left panel) and relative proportions of NANOG and NANOGP8 (Fig. 5C). This analysis showed that both NANOG and NANOGP8 increased during reprogramming but NANOG was the highly predominant form (Fig. 5D). Increases of both NANOG and NANOGP8 were attenuated in AD-HIES consistent with STAT3 dependence of this regulation (Fig. 5B,D).

Fig. 5.
Fig. 5.

NANOG, not its pseudogene NANOGP8, is upregulated in a STAT3-dependent manner during reprogramming of human skin fibroblasts to iPSCs. Control and AD-HIES skin fibroblasts were subjected to the reprogramming protocol as described in Materials and Methods and analyzed at indicated time points. (A–D) Analysis of relative expression of NANOG and NANOGP8. Total NANOG RT-PCR products were digested with AlwNI restriction endonuclease that specifically cuts only NANOGP8 and fragments were analyzed by agarose gel electrophoresis (see Materials and Methods for details). Three control and three AD-HIES cell lines were analyzed for all experiments. (A) NANOGP8 is the predominant form of NANOG in both control and AD-HIES skin fibroblasts. The cDNA region containing AlwNI site in NANOGP8 was amplified for 40 cycles. (B) NANOG is the predominant form that is upregulated during reprogramming. PCR amplification was stopped during logarithmic phase to reflect relative expression level. (C,D) NANOG expression is increased during reprograming both in control and AD-HIES cells but to a much smaller extent in AD-HIES. NANOGP8 expression also increased but overall levels are much lower. (C) 40 cycles of PCR amplification were performed and % of NANOGP8 in total NANOG was determined by densitometry of corresponding bands, (D) quantification of NANOG and NANOGP8 expression during reprogramming based on qPCR quantification of total NANOG (left panel) and proportion of NANOG P8 obtained from Fig. 5C (mean±s.e.m., n=3). See Table S1 for information about patient samples used in these experiments.

Preferential binding of STAT3 to the promoter of NANOG as compared to NANOGP8 gene during reprogramming of human skin fibroblasts

Having found that NANOG upregulation during reprograming through overexpression of OKSM transcriptional factors is modulated by STAT3, we next tested whether STAT3 directly binds to the promoters of NANOG and NANOGP8 (Fig. 6). We performed this analysis at reprogramming day 14 because levels of P-STAT3 (Y705) (Fig. 4A,B) and NANOG mRNA expression (Fig. 4C) reach a maximum by this time and the number of pluripotent cells increases (Fig. 1C), indicating ongoing active reorganization of chromatin structures and gene expression profile. Analysis of promoter sequences of NANOG and NANOGP8 genes showed that they both have potential STAT3 binding sites (see Materials and Methods for more details). We designed two primer sets for each promoter covering the regions containing the STAT3 binding sites. Locations of these regions are shown on Fig. S2. ChIP analysis showed that STAT3 does not bind NANOG or NANOGP8 promoters in fibroblasts but binds the region spanning binding site 2 in NANOG promoter during reprograming (Fig. 6). Slight enrichment in STAT3 binding to the promoter of NANOGP8 was also detected (Fig. 6A) but to a much lower extent than STAT3 binding to site 2 of the promoter of regular NANOG, consistent with predominant upregulation of regular NANOG during reprogramming. The STAT3 binding site 2 is located in a highly conserved region of the NANOG promoter (Fig. 6B), consistent with its important regulatory role. In summary, activation and binding of STAT3 to the NANOG promoter during reprogramming and attenuated upregulation of NANOG expression in AD-HIES fibroblasts in combination with decreased reprogramming efficiency of AD-HIES fibroblasts to iPSC suggest that upregulation of NANOG during reprograming through overexpression of OKSM factors in human skin fibroblasts is regulated by endogenous STAT3.

Fig. 6.
Fig. 6.

STAT3 binds to NANOG promoter during reprogramming of human skin fibroblasts to iPSCs but not in fibroblasts. Binding of STAT3 to promoters of NANOG and NANOGP8 was analyzed by ChIP. Samples for ChIP were collected from control skin fibroblasts and at day 14 of reprogramming. (A) Analysis of STAT3 binding to potential binding sites that contain STAT3 binding sequences in NANOG and NANOGP8 promoters. ChIP, see Materials and Methods for details, data are plotted as mean±s.e.m., *P<0.05, ***P<0.001, two-tailed t-test relative to IgG, n=3. (B) Location of the binding Site 2 in NANOG promoter relative to the transcription start site of NANOG gene (RefSeq Genes track of the UCSC Genome Browser). The site overlaps with highly conserved regions on the ‘Conservation in vertebrates’ track of the browser. See also Fig. S2 for the binding sites locations and Table S2 for primers sequences. See Table S1 for information about patient samples used in these experiments.

DISCUSSION

The data presented here support the role of endogenous STAT3 in the reprograming of human somatic cells into iPSCs. In mouse cells, STAT3, together with core pluripotency transcription factors such as Oct4, Sox2 and NANOG, occupies a central place in stem-cell-signaling networks regulating the maintenance of pluripotency and self-renewal both in vivo and in ESCs and iPSCs cell lines in vitro (Nichols and Smith, 2012; Onishi and Zandstra, 2015). The importance of STAT3 signaling in mouse pluripotency is highlighted by the fact that its activator LIF is a necessary component of cell culture media that have been developed for stable pluripotency maintenance as well as for reprograming (Matsuda et al., 1999; Niwa et al., 1998; Raz et al., 1999; Williams et al., 1988). During reprogramming of mouse cells, exogenous stimulation of STAT3 signaling increases efficiency of the transition to ground state pluripotency (Yang et al., 2010) and enables the induction and stabilization of a naïve pluripotent state (van Oosten et al., 2012). However, the role of STAT3 in human pluripotency is not as clear and LIF in cell culture media is not able to maintain pluripotency of either human embryonic cells or iPSCs (Dahéron et al., 2004; Takahashi and Yamanaka, 2016; Thomson et al., 1998; Vallier et al., 2005).

The difference in the STAT3 role for pluripotency regulation in mouse and human cells was initially attributed to differences in genetic background and it was concluded that STAT3 was not needed for maintenance of pluripotency and modulation of STAT3 signaling was not a promising target for method improvement in human iPSC derivation and maintenance. However, analysis of transcriptional and epigenetic profiles have revealed that these differences could be explained by the different states of pluripotency that mouse and human ESCs/iPSCs acquire in cell culture, which are stabilized in vitro by different growth conditions (Hanna et al., 2010b; Weinberger et al., 2016). It has since been shown that the pluripotent state of human ESCs/iPSCs in culture conditions corresponds to that of the mouse-derived epiblast stem cells (EpiSC), designated as ‘primed’ pluripotent state as opposed to ‘naïve’ or ‘ground’ state of mouse ESC derived from ICM (Nichols and Smith, 2012). The primed state is prone to differentiation whereas the naïve ESCs correspond to a more immature state of pluripotency of preimplantation embryo ICM that is stabilized in culture by stimulation of FGF2/avidin signaling rather than LIF/STAT3 similar to human cells.

Following these discoveries, the importance of STAT3 signaling for human pluripotency was re-established when it was demonstrated that exposure of EpiSC-like pluripotent human cells, including human ESC and human iPSCs, to LIF/STAT3 is able to revert them to a ground state pluripotency. Similar to the mouse ESC, this conversion can be boosted by cultivating cells in 2i conditions (2i: GSK3b inhibitor and ERK1/2 inhibitor) (Hanna et al., 2010a,b) in combination with other inhibitors of differentiation promoting signaling (Chan et al., 2013; Chen et al., 2015; Gafni et al., 2013; Pastor et al., 2016; Theunissen et al., 2014). These findings are helping to reconcile the differences between mouse and human cells and suggest that the STAT3 role in establishing pluripotency and its maintenance might be more similar between species than was initially assumed.

In this study, we show that normal function of endogenous STAT3 is needed for efficient reprograming of human somatic cells into iPSC (Fig. 7). This conclusion is made based on greatly reduced reprograming efficiency of primary skin fibroblasts derived from patients with AD-HIES syndrome, carrying dominant negative mutations in STAT3 (Fig. 1). The STAT3 dependence of this reprograming efficiency was confirmed by its improvement following overexpression of functional wild-type STAT3 in AD-HIES fibroblasts (Fig. 2) and by recapitulating reprogramming deficiency by knocking-down STAT3 in normal skin fibroblasts (Fig. 3). Further analysis demonstrated that during reprograming, as STAT3 protein expression is increased, it is activated, as evidenced by its phosphorylation (Fig. 4A,B), and it binds to its transcriptional binding site within the NANOG promoter (Fig. 6). These events coincide with increasing NANOG expression levels (Fig. 5) and the appearance of cells expressing pluripotency markers (Fig. 1C). In AD-HIES cells with reduced STAT3 function, all these events are attenuated, accompanied by greatly reduced numbers of successfully reprogrammed pluripotent cells. These results reveal the critical role of endogenous STAT3 in facilitating reprogramming of human somatic cells.

Fig. 7.
Fig. 7.

Overview of the study findings. Human fibroblast transduction with OKSM factors results in STAT3 activation and binding to the NANOG promoter with upregulation of NANOG and a small elevation of its retrogene NANOGP8, ultimately leading to iPSC colony formation. Consistent with STAT3 dependence, NANOG expression and pluripotent colony numbers are greatly reduced throughout the reprograming process of fibroblasts derived from AD-HIES patients harboring STAT3 mutations.

Analysis of NANOG is complicated by the presence of a fully functional pseudogene, NANOGP8, encoding a full-length protein that differs by only 2–3 amino-acid changes (Booth and Holland, 2004) and cannot be distinguished by regular western blot or PCR (Zhang et al., 2006). NANOGP8 is expressed in many cancers (Jeter et al., 2009, 2011; Zhang et al., 2013) and its ability to substitute for NANOG in reprograming activity (Palla et al., 2014), prompted us to analyze the relative contribution of NANOG and NANOGP8 in STAT3-dependent upregulation of total NANOG during our reprogramming procedure (Figs 5 and 6). The analysis demonstrated that STAT3 predominantly binds to the NANOG promoter and NANOG is the predominantly upregulated form during reprograming. However, NANOGP8 was also detectable in primary skin fibroblasts and was induced by the reprograming procedure, indicating that its promoter becomes more accessible for upregulation. NANOGP8 is a human-specific retrogene and it has been proposed that its expression in cancers could explain higher the predisposition to cancers in humans than other primates (Fairbanks et al., 2012). The findings suggest that testing iPSCs and their derivatives for NANOGP8 expression could be beneficial to decrease probability of malignant transformations.

In conclusion, our study demonstrates that normal function of endogenous STAT3 is critical for reprograming of human somatic cells into iPSCs initiated by lentiviral transduction of OSKM factors and performed in the absence of exogenous stimulation of STAT3 signaling. These findings, together with studies showing ability of LIF/STAT3 stimulation to revert EpiSC-like ‘primed’ pluripotent human cells to ground state pluripotency (Chan et al., 2013; Chen et al., 2015; Gafni et al., 2013; Hanna et al., 2010a,b; Pastor et al., 2016; Theunissen et al., 2014), support the important role of STAT3 during both the establishment and the maintenance of induced pluripotency in human cells.

The findings of this study point to endogenous STAT3 signaling being an important regulator of reprogramming of human somatic cells to iPSC. Due to its functions as a hub protein for multiple cellular signaling pathways and as a transcription factor with multiple transcriptional targets, STAT3 serves as a key regulator of multiple cellular processes such as cell survival, cell proliferation, migration, metabolism and chromatin remodeling (Demaria et al., 2014; Hirano et al., 2000; Wingelhofer et al., 2018; Yu et al., 2014). Many of these processes are involved in the series of transformations that cells undergo during the reprograming process, such as chromatin opening, increased proliferation rate, metabolic changes and acquisition of resistance to apoptosis and senescence (David and Polo, 2014; Gaspar-Maia et al., 2011). Further studies on which of these processes are affected by STAT3 deficiency could provide new insights into molecular mechanisms of reprograming and may help discover new approaches for increasing reprograming efficiency of human somatic cells to iPSC.

MATERIALS AND METHODS

Human subjects

Study subjects were evaluated under a National Institute of Allergy and Infectious Diseases (NIAID) Institutional Review Board-approved natural history of HIES protocol at the Clinical Center at the National Institutes of Health (NIH). Study subjects were diagnosed with AD-HIES using a diagnostic scoring system comprising of immunological and non-immunological features (Woellner et al., 2010). The diagnosis was confirmed by the identification of STAT3 mutations listed in Table 1.

Derivation of patient-specific skin fibroblasts

Four control and seven AD-HIES patient-derived fibroblasts lines were generated from 3–4 mm punch skin biopsies following informed consent under protocols approved by NHLBI IRB. The skin biopsy sample was further cut into 1 mm pieces and digested for 1 h at 37C in 10 ml of 0.1% Collagenase Type II (No.17101-015, Thermo Fisher Scientific)/0.25 U ml−1 Dispase (No. 17105-0411, Thermo Fisher Scientific)/PBS solution. The pieces were then transferred to two wells of a six-well culture plate, covered with cover slips to facilitate attachment and cultured in Dulbecco's modified Eagle medium (DMEM) supplemented with 20% fetal bovine serum (FBS) and antibiotics in a 20% O2, 5% CO2 incubator. Fibroblast outgrown from the explants were passaged after 3–4 weeks when they occupied most of the well's surface. The fibroblasts were then cultured in DMEM medium supplemented with 10% FBS (No. S10250, Atlanta biological, Flowery Branch, GA, USA) and antibiotics.

Reprogramming of skin fibroblasts into iPSCs

IPSCs were generated from control and AD-HIES skin fibroblasts by lentiviral delivery of four transcription factors: human OCT4, KLF4, SOX2, and cMYC (OKSM) as previously described (Beers et al., 2012; Chen et al., 2011; Jin et al., 2016, 2019). Briefly, the fibroblasts were seeded in six-well plate at a density of 2×105 per well. After 24 h, the cells were transduced with the Human STEMCCA Cre-Excisable Constitutive Polycistronic (OKSM) Lentivirus reprogramming kit (No.SCR545, EMD Millipore, Darmstadt, Germany) (Sommer et al., 2009). Cells were harvested 3–4 days after transduction and re-plated on six-well plates coated with Matrigel (no. 354230, Corning, USA). On the following day, E7 medium without TGF-β and supplemented with 1 μM hydrocortisone and 100 μM butyrate was added to cells and replaced every other day. After 2 weeks of transduction, cells were changed to full E8 medium (Stemcell Technology, Vancouver, Canada). iPSC colonies were collected 21 days post-transduction, maintained in full E8 medium and passaged with 0.5 mM EDTA as previously described (Beers et al., 2012).

STAT3 overexpression

Full-length STAT3 cDNA was purchased from Dharmacon (#7727). Using Invitrogen's Gateway Cloning System, the STAT3 cDNA was subcloned to pLenti6.3⁄V5-DEST (Invitrogen, V53306). The virus was produced in HEK293FT cells using the ViraPower™ HiPerform™ Lentiviral Gateway Expression Kit (Invitrogen, K5330-00). Fibroblasts were virally transduced for 24–36 h and screened for puromycin resistance to identify stably transfected cells.

shRNA knockdown

STAT3 was knocked down with a human ‘GIPZ lentiviral shRNA’ viral particle purchased from Dharmacon (RHS4531-NM_003150) including STAT3 shRNA or non-silencing control shRNA viral particles. Normal human skin fibroblasts (BJ) (no. CRL-2522, ATCC, Manassas, VA, USA) were transduced with for 24–36 h and screened for puromycin resistance for stable transfection.

Quantification of pluripotent colonies by staining with pluripotency markers

TRA-1-60 surface marker expression analysis

Live cells were directly stained using GloLIVE Human Pluripotent Stem Cell Live Cell Imaging Kit (no. SC023, R&D). Anti-hTRA-1-60 antibodies were added directly to the cells for 30 min, washed with cell culture medium and imaged with Olympus IX71 microscope. Positive colonies in each well of six-well plates were counted manually.

ALP staining

Staining was performed with a SIGMAFAST BCIP/NBT kit (Sigma-Aldrich) by following the manufacturer's instructions.

Quantification of TRA-1-60 and ALP double-positive cells by flow cytometry

The cells were digested to a single cell suspension at different time points after transduction by incubation with Trypsin-EDTA (0.25%, 25200056, Gibco) for 1 min. The cells were stained with mouse anti-human Alkaline Phosphatase-Alexa Fluor 488 (no. 56149, BD Pharmingen) and anti-human-TRA1-60-PE (no. 330610, Biolegend, San Diego, CA, USA). Analysis was performed on a BD FACSCanto Flow Cytometer (BD Biosciences, San Jose, CA, USA) and the results were analyzed using FlowJo software (FlowJo, LLC).

RNA extraction and quantification by real-time PCR

Total RNA was extracted from cultured cells using the RNeasy Mini Kit (no. 74134, QIAGEN, Valencia, CA, USA). The RNA was converted to cDNA by reverse transcription using TaqMan Reverse Transcription Reagents (N8080234; Applied Biosystems). mRNA levels were measured by real-time PCR using iQ SYBR Green Supermix (Bio-Rad) on an MJ Research Dyad Disciple thermal cycler with Chromo 4 fluorescence detector (Bio-Rad). The specificity of the amplified PCR products was confirmed by analysis of the melting curves. The primers used for qPCR are shown in the Table S3. Quantification was performed by comparative CT method and 18S ribosomal RNA was used as an endogenous control. The relative copy number of a target was calculated for each sample [2 – (Ct( target mRNA) – Ct (18S rRNA)] and normalized to the copy number in the corresponding control sample (specified in the figure legends).

Western blot

Western blot analysis was performed by generating immunoblots of proteins separated by SDS-PAGE. All cells on the plate were bulk lysed in RIPA buffer supplemented with protease and phosphatase inhibitors. Primary antibodies against p-STAT3 (Tyr705) (9145; Cell Signaling Technology), STAT3 (9139; Cell Signaling Technology), β-Actin (3700, Cell Signaling Technology) were used in conjunction with anti-rabbit-IRDye800CW (no. 926-32211, Li-Cor, Lincoln, NE, USA) and anti-mouse-IRDye680RD (no. 926-68070, Li-Cor) as secondary antibodies. Immunoblots were scanned and integral fluorescence (IF) from each band was measured using Odyssey Infrared Imaging System (Li-COR Biosciences, Lincoln, NE, USA).

Analysis of relative proportion of NANOG and NANOGP8 in mRNA expression of Total NANOG measured by qPCR

Total RNA was extracted with RNeasy Plus Mini Kit (no. 74134, Qiagen, Valencia, CA, USA). As NANOGP8 is an intronless retrogene, it is not possible to avoid amplification of NANOGP8 from genomic DNA by designing primers spanning introns. In order to ensure removal of all genomic DNA, we performed on column treatment with DNase and the absence of NANOG amplification was tested on the extracted RNA (Fig. S1). RNA (2 µg) was converted to cDNA by reverse transcription using a high-capacity cDNA RT Kit (no. 4368814, Applied Biosystems). Total NANOG mRNA levels were quantified by real-time PCR using QuantiFast SYBR Green PCR Kit (no. 204054, Qiagen, Valencia, CA,USA). Quantification was performed by comparative CT method and 18S ribosomal RNA was used as an endogenous control. The relative copy number of total NANOG mRNA was calculated for each sample as 2 – (Ct( NANOG) – Ct (18S rRNA).

PCR products digested with AlwNI according to the manufacturer's protocol (New England Biolabs, Beverly, MA, USA) were purified with the QIAquick PCR Purification Kit (no. 28104, Qiagen) and analyzed by electrophoresis on a 3% (w/v) agarose gel.

ChIP

ChIP was performed using the Enzymatic Chromatin IP kit (no. 9003, Cell Signaling Technology, Danvers, MA, USA). Briefly, cells were crosslinked with 1% formaldehyde for 10 min. Chromatin was digested with MNase to generate fragments from 150 bp to 900 bp. For each sample, chromatin from one confluent six-well plate was immunoprecipitated with 10 µg of anti-Stat3 antibody (no. sc-13035, Santa Cruz Biotechnology, Dallas, TX, USA) or with normal rabbit IgG (No.2729, Cell Signaling Technology, Danvers, MA, USA). The protein in the samples was enzymatically digested to further purify the DNA. The number of DNA fragments containing target sequences in input chromatin and in chromatin immunoprecipitated (IP) with anti-STAT3 and IgG were quantified with a QuantiFast SYBR Green PCR Kit (no. 204054, Qiagen). Four target sequences were quantified, two containing the STAT3 binding sites in the NANOG promoter and two containing Stat3 binding sites in the NANOGP8 promoter (see ‘Primer design for Stat3 ChIP’ section for the target sequences). Quantification was performed by comparative CT method. The relative to input DNA copy number of each target sequence for each IP sample was calculated as 2 – (Ct( IP DNA) – Ct (Input DNA)). The number of copies of each target sequence in Stat3 ChIP was normalized by the copy number of IgG ChIP.

Primer design for Stat3 ChIP

Four primer pairs for specific regions containing STAT3 binding sites close to the transcription start site of the NANOG and NANOG P8 genes were designed using the Primer-BLAST tool (http://www.ncbi.nlm.nih.gov/tools/primer-blast/). The regions of the NANOG and NANOG P8 genes that were tested by ChIP are shown on Fig. S2 and the primer sequences are listed in Table S3. The primers’ specificities were verified by analysis of the melting curves of the PCR products obtained at the end of SYBR Green qPCR reaction. Each produced a single peak.

Statistical analysis

Statistical analyses were done using GraphPad Prism7 software. All values are shown as mean±s.e.m. P-values were calculated with a two-tailed Student's t-test, and P<0.05 (*) was considered significant.

Acknowledgements

We thank AD-HIES patients and their families for participating in the study. The study was supported by intramural programs of NHLBI and NIAID.

Footnotes

  • Competing interests

    The authors declare no competing or financial interests.

  • Author contributions

    Conceptualization: G.C., M.B.; Methodology: G.C., H.J.; Formal analysis: Z.Y., N.I.D.; Investigation: Z.Y., N.I.D., A.D.W., H.J., Y.L.; Resources: S.M.H., A.F.F.; Data curation: X.P.; Writing - original draft: Z.Y., N.I.D.; Writing - review & editing: G.C., N.I.D., E.A.F., M.B.; Supervision: G.C., L.Q., M.B.

  • Funding

    The study was supported by intramural programs of National Heart Lung and Blood Institute and National Institute of Allergy and Infectious Diseases. [10.13039/100006492].

  • Data availability

    All data that support the findings of this study are available from the corresponding author upon reasonable request.

  • Supplementary information

    Supplementary information available online at https://bio.biologists.org/lookup/doi/10.1242/bio.052662.supplemental

  • Received April 2, 2020.
  • Accepted June 15, 2020.
http://creativecommons.org/licenses/by/4.0

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

References

  1. ↵
    1. Beers, J.,
    2. Gulbranson, D. R.,
    3. George, N.,
    4. Siniscalchi, L. I.,
    5. Jones, J.,
    6. Thomson, J. A. and
    7. Chen, G.
    (2012). Passaging and colony expansion of human pluripotent stem cells by enzyme-free dissociation in chemically defined culture conditions. Nat. Protoc. 7, 2029-2040. doi:10.1038/nprot.2012.130
    OpenUrlCrossRefPubMed
  2. ↵
    1. Booth, H. A. F. and
    2. Holland, P. W. H.
    (2004). Eleven daughters of NANOG. Genomics 84, 229-238. doi:10.1016/j.ygeno.2004.02.014
    OpenUrlCrossRefPubMedWeb of Science
  3. ↵
    1. Burdon, T.,
    2. Smith, A. and
    3. Savatier, P.
    (2002). Signalling, cell cycle and pluripotency in embryonic stem cells. Trends Cell Biol. 12, 432-438. doi:10.1016/S0962-8924(02)02352-8
    OpenUrlCrossRefPubMedWeb of Science
  4. ↵
    1. Burdon, T.,
    2. Stracey, C.,
    3. Chambers, I.,
    4. Nichols, J. and
    5. Smith, A.
    (1999). Suppression of SHP-2 and ERK signalling promotes self-renewal of mouse embryonic stem cells. Dev. Biol. 210, 30-43. doi:10.1006/dbio.1999.9265
    OpenUrlCrossRefPubMedWeb of Science
  5. ↵
    1. Chan, Y.-S.,
    2. Göke, J.,
    3. Ng, J.-H.,
    4. Lu, X. Y.,
    5. Gonzales, K. A. U.,
    6. Tan, C.-P.,
    7. Tng, W.-Q.,
    8. Hong, Z.-Z.,
    9. Lim, Y.-S. and
    10. Ng, H.-H.
    (2013). Induction of a human pluripotent state with distinct regulatory circuitry that resembles preimplantation epiblast. Cell Stem Cell 13, 663-675. doi:10.1016/j.stem.2013.11.015
    OpenUrlCrossRefPubMedWeb of Science
  6. ↵
    1. Chen, X.,
    2. Xu, H.,
    3. Yuan, P.,
    4. Fang, F.,
    5. Huss, M.,
    6. Vega, V. B.,
    7. Wong, E.,
    8. Orlov, Y. L.,
    9. Zhang, W. W.,
    10. Jiang, J. M. et al.
    (2008). Integration of external signaling pathways with the core transcriptional network in embryonic stem cells. Cell 133, 1106-1117. doi:10.1016/j.cell.2008.04.043
    OpenUrlCrossRefPubMedWeb of Science
  7. ↵
    1. Chen, G.,
    2. Gulbranson, D. R.,
    3. Hou, Z.,
    4. Bolin, J. M.,
    5. Ruotti, V.,
    6. Probasco, M. D.,
    7. Smuga-Otto, K.,
    8. Howden, S. E.,
    9. Diol, N. R.,
    10. Propson, N. E. et al.
    (2011). Chemically defined conditions for human iPSC derivation and culture. Nat. Methods 8, 424-429. doi:10.1038/nmeth.1593
    OpenUrlCrossRefPubMedWeb of Science
  8. ↵
    1. Chen, H.,
    2. Aksoy, I.,
    3. Gonnot, F.,
    4. Osteil, P.,
    5. Aubry, M.,
    6. Hamela, C.,
    7. Rognard, C.,
    8. Hochard, A.,
    9. Voisin, S.,
    10. Fontaine, E. et al.
    (2015). Reinforcement of STAT3 activity reprogrammes human embryonic stem cells to naive-like pluripotency. Nat. Commun. 6, 7095. doi:10.1038/ncomms8095
    OpenUrlCrossRefPubMed
  9. ↵
    1. Dahéron, L.,
    2. Opitz, S. L.,
    3. Zaehres, H.,
    4. Lensch, W. M.,
    5. Andrews, P. W.,
    6. Itskovitz-Eldor, J. and
    7. Daley, G. Q.
    (2004). LIF/STAT3 signaling fails to maintain self-renewal of human embryonic stem cells. Stem Cells 22, 770-778. doi:10.1634/stemcells.22-5-770
    OpenUrlCrossRefPubMedWeb of Science
  10. ↵
    1. David, L. and
    2. Polo, J. M.
    (2014). Phases of reprogramming. Stem Cell Res. 12, 754-761. doi:10.1016/j.scr.2014.03.007
    OpenUrlCrossRefPubMed
  11. ↵
    1. Demaria, M.,
    2. Camporeale, A. and
    3. Poli, V.
    (2014). STAT3 and metabolism: how many ways to use a single molecule? Int. J. Cancer 135, 1997-2003. doi:10.1002/ijc.28767
    OpenUrlCrossRefPubMed
  12. ↵
    1. Do, D. V.,
    2. Ueda, J.,
    3. Messerschmidt, D. M.,
    4. Lorthongpanich, C.,
    5. Zhou, Y.,
    6. Feng, B.,
    7. Guo, G. J.,
    8. Lin, P. Y. J.,
    9. Hossain, M. Z.,
    10. Zhang, W. J. et al.
    (2013). A genetic and developmental pathway from STAT3 to the OCT4-NANOG circuit is essential for maintenance of ICM lineages in vivo. Genes Dev. 27, 1378-1390. doi:10.1101/gad.221176.113
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Fairbanks, D. J.,
    2. Fairbanks, A. D.,
    3. Ogden, T. H.,
    4. Parker, G. J. and
    5. Maughan, P. J.
    (2012). NANOGP8: evolution of a human-specific retro-oncogene. G3-Genes Genomes Genetics 2, 1447-1457. doi:10.1534/g3.112.004366
    OpenUrlCrossRef
  14. ↵
    1. Gafni, O.,
    2. Weinberger, L.,
    3. Mansour, A. A.,
    4. Manor, Y. S.,
    5. Chomsky, E.,
    6. Ben-Yosef, D.,
    7. Kalma, Y.,
    8. Viukov, S.,
    9. Maza, I.,
    10. Zviran, A. et al.
    (2013). Derivation of novel human ground state naive pluripotent stem cells. Nature 504, 282-286. doi:10.1038/nature12745
    OpenUrlCrossRefPubMedWeb of Science
  15. ↵
    1. Gaspar-Maia, A.,
    2. Alajem, A.,
    3. Meshorer, E. and
    4. Ramalho-Santos, M.
    (2011). Open chromatin in pluripotency and reprogramming. Nat. Rev. Mol. Cell Biol. 12, 36-47. doi:10.1038/nrm3036
    OpenUrlCrossRefPubMed
  16. ↵
    1. Hanna, J.,
    2. Cheng, A. W.,
    3. Saha, K.,
    4. Kim, J.,
    5. Lengner, C. J.,
    6. Soldner, F.,
    7. Cassady, J. P.,
    8. Muffat, J.,
    9. Carey, B. W. and
    10. Jaenisch, R.
    (2010a). Human embryonic stem cells with biological and epigenetic characteristics similar to those of mouse ESCs. Proc. Natl. Acad. Sci. USA 107, 9222-9227. doi:10.1073/pnas.1004584107
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Hanna, J. H.,
    2. Saha, K. and
    3. Jaenisch, R.
    (2010b). Pluripotency and cellular reprogramming: facts, hypotheses, unresolved issues. Cell 143, 508-525. doi:10.1016/j.cell.2010.10.008
    OpenUrlCrossRefPubMedWeb of Science
  18. ↵
    1. Hirano, T.,
    2. Ishihara, K. and
    3. Hibi, M.
    (2000). Roles of STAT3 in mediating the cell growth, differentiation and survival signals relayed through the IL-6 family of cytokine receptors. Oncogene 19, 2548-2556. doi:10.1038/sj.onc.1203551
    OpenUrlCrossRefPubMedWeb of Science
  19. ↵
    1. Holland, S. M.,
    2. Deleo, F. R.,
    3. Elloumi, H. Z.,
    4. Hsu, A. P.,
    5. Uzel, G.,
    6. Brodsky, N.,
    7. Freeman, A. F.,
    8. Demidowich, A.,
    9. Davis, J.,
    10. Turner, M. L. et al.
    (2007). STAT3 mutations in the hyper-IgE syndrome. N. Engl. J. Med. 357, 1608-1619. doi:10.1056/NEJMoa073687
    OpenUrlCrossRefPubMedWeb of Science
  20. ↵
    1. Inoue, H.,
    2. Nagata, N.,
    3. Kurokawa, H. and
    4. Yamanaka, S.
    (2014). iPS cells: a game changer for future medicine. EMBO J. 33, 409-417. doi:10.1002/embj.201387098
    OpenUrlAbstract/FREE Full Text
  21. ↵
    1. Jeter, C. R.,
    2. Badeaux, M.,
    3. Choy, G.,
    4. Chandra, D.,
    5. Patrawala, L.,
    6. Liu, C.,
    7. Calhoun-Davis, T.,
    8. Zaehres, H.,
    9. Daley, G. Q. and
    10. Tang, D. G.
    (2009). Functional evidence that the self-renewal gene NANOG regulates human tumor development. Stem Cells 27, 993-1005. doi:10.1002/stem.29
    OpenUrlCrossRef
  22. ↵
    1. Jeter, C. R.,
    2. Liu, B.,
    3. Liu, X.,
    4. Chen, X.,
    5. Liu, C.,
    6. Calhoun-Davis, T.,
    7. Repass, J.,
    8. Zaehres, H.,
    9. Shen, J. J. and
    10. Tang, D. G.
    (2011). NANOG promotes cancer stem cell characteristics and prostate cancer resistance to androgen deprivation. Oncogene 30, 3833-3845. doi:10.1038/onc.2011.114
    OpenUrlCrossRefPubMedWeb of Science
  23. ↵
    1. Jin, H.,
    2. St Hilaire, C.,
    3. Huang, Y. T.,
    4. Yang, D.,
    5. Dmitrieva, N. I.,
    6. Negro, A.,
    7. Schwartzbeck, R.,
    8. Liu, Y. T. Y.,
    9. Yu, Z.,
    10. Walts, A. et al.
    (2016). Increased activity of TNAP compensates for reduced adenosine production and promotes ectopic calcification in the genetic disease ACDC. Sci. Signal. 9, ra121. doi:10.1126/scisignal.aaf9109
    OpenUrlAbstract/FREE Full Text
  24. ↵
    1. Jin, H.,
    2. Yu, Z.,
    3. Navarengom, K.,
    4. Liu, Y. T. Y.,
    5. Dmitrieva, N.,
    6. Hsu, A. P.,
    7. Schwartzbeck, R.,
    8. Cudrici, C.,
    9. Ferrante, E. A.,
    10. Yang, D. et al.
    (2019). Generation of human induced pluripotent stem cell lines (NIHTVBi011-A, NIHTVBi012-A, NIHTVBi013-A) from autosomal dominant Hyper IgE syndrome (AD-HIES) patients carrying STAT3 mutation. Stem Cell Res. 41, 101586. doi:10.1016/j.scr.2019.101586
    OpenUrlCrossRef
  25. ↵
    1. Jopling, C.,
    2. Boue, S. and
    3. Belmonte, J. C. I.
    (2011). Dedifferentiation, transdifferentiation and reprogramming: three routes to regeneration. Nat. Rev. Mol. Cell Biol. 12, 79-89. doi:10.1038/nrm3043
    OpenUrlCrossRefPubMedWeb of Science
  26. ↵
    1. Koche, R. P.,
    2. Smith, Z. D.,
    3. Adli, M.,
    4. Gu, H.,
    5. Ku, M.,
    6. Gnirke, A.,
    7. Bernstein, B. E. and
    8. Meissner, A.
    (2011). Reprogramming factor expression initiates widespread targeted chromatin remodeling. Cell Stem Cell 8, 96-105. doi:10.1016/j.stem.2010.12.001
    OpenUrlCrossRefPubMedWeb of Science
  27. ↵
    1. Matsuda, T.,
    2. Nakamura, T.,
    3. Nakao, K.,
    4. Arai, T.,
    5. Katsuki, M.,
    6. Heike, T. and
    7. Yokota, T.
    (1999). STAT3 activation is sufficient to maintain an undifferentiated state of mouse embryonic stem cells. EMBO J. 18, 4261-4269. doi:10.1093/emboj/18.15.4261
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. Minegishi, Y.,
    2. Saito, M.,
    3. Tsuchiya, S.,
    4. Tsuge, I.,
    5. Takada, H.,
    6. Hara, T.,
    7. Kawamura, N.,
    8. Ariga, T.,
    9. Pasic, S.,
    10. Stojkovic, O. et al.
    (2007). Dominant-negative mutations in the DNA-binding domain of STAT3 cause hyper-IgE syndrome. Nature 448, 1058-1U10. doi:10.1038/nature06096
    OpenUrlCrossRefPubMedWeb of Science
  29. ↵
    1. Nichols, J. and
    2. Smith, A.
    (2012). Pluripotency in the embryo and in culture. Cold Spring Harbor Perspect. Biol. 4, a008128. doi:10.1101/cshperspect.a008128
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Niwa, H.,
    2. Burdon, T.,
    3. Chambers, I. and
    4. Smith, A.
    (1998). Self-renewal of pluripotent embryonic stem cells is mediated via activation of STAT3. Genes Dev. 12, 2048-2060. doi:10.1101/gad.12.13.2048
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Onishi, K. and
    2. Zandstra, P. W.
    (2015). LIF signaling in stem cells and development. Development 142, 2230-2236. doi:10.1242/dev.117598
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Palla, A. R.,
    2. Piazzolla, D.,
    3. Abad, M.,
    4. Li, H.,
    5. Dominguez, O.,
    6. Schonthaler, H. B.,
    7. Wagner, E. F. and
    8. Serrano, M.
    (2014). Reprogramming activity of NANOGP8, a NANOG family member widely expressed in cancer. Oncogene 33, 2513-2519. doi:10.1038/onc.2013.196
    OpenUrlCrossRefPubMed
  33. ↵
    1. Pastor, W. A.,
    2. Chen, D.,
    3. Liu, W. L.,
    4. Kim, R.,
    5. Sahakyan, A.,
    6. Lukianchikov, A.,
    7. Plath, K.,
    8. Jacobsen, S. E. and
    9. Clark, A. T.
    (2016). Naive human pluripotent cells feature a methylation landscape devoid of blastocyst or germline memory. Cell Stem Cell 18, 323-329. doi:10.1016/j.stem.2016.01.019
    OpenUrlCrossRefPubMed
  34. ↵
    1. Polo, J. M.,
    2. Anderssen, E.,
    3. Walsh, R. M.,
    4. Schwarz, B. A.,
    5. Nefzger, C. M.,
    6. Lim, S. M.,
    7. Borkent, M.,
    8. Apostolou, E.,
    9. Alaei, S.,
    10. Cloutier, J. et al.
    (2012). A molecular roadmap of reprogramming somatic cells into iPS cells. Cell 151, 1617-1632. doi:10.1016/j.cell.2012.11.039
    OpenUrlCrossRefPubMedWeb of Science
  35. ↵
    1. Raz, R.,
    2. Lee, C.-K.,
    3. Cannizzaro, L. A.,
    4. d'Eustachio, P. and
    5. Levy, D. E.
    (1999). Essential role of STAT3 for embryonic stem cell pluripotency. Proc. Natl. Acad. Sci. USA 96, 2846-2851. doi:10.1073/pnas.96.6.2846
    OpenUrlAbstract/FREE Full Text
  36. ↵
    1. Saunders, A.,
    2. Faiola, F. and
    3. Wang, J.
    (2013). Concise review: pursuing self-renewal and pluripotency with the stem cell factor nanog. Stem Cells 31, 1227-1236. doi:10.1002/stem.1384
    OpenUrlCrossRefPubMedWeb of Science
  37. ↵
    1. Shi, Y.,
    2. Inoue, H.,
    3. Wu, J. C. and
    4. Yamanaka, S.
    (2017). Induced pluripotent stem cell technology: a decade of progress. Nat. Rev. Drug Discov. 16, 115-130. doi:10.1038/nrd.2016.245
    OpenUrlCrossRefPubMed
  38. ↵
    1. Smith, A. G.,
    2. Heath, J. K.,
    3. Donaldson, D. D.,
    4. Wong, G. G.,
    5. Moreau, J.,
    6. Stahl, M. and
    7. Rogers, D.
    (1988). Inhibition of pluripotential embryonic stem-cell differentiation by purified polypeptides. Nature 336, 688-690. doi:10.1038/336688a0
    OpenUrlCrossRefPubMedWeb of Science
  39. ↵
    1. Sommer, C. A.,
    2. Stadtfeld, M.,
    3. Murphy, G. J.,
    4. Hochedlinger, K.,
    5. Kotton, D. N. and
    6. Mostoslavsky, G.
    (2009). Induced pluripotent stem cell generation using a single lentiviral stem cell cassette. Stem Cells 27, 543-549. doi:10.1634/stemcells.2008-1075
    OpenUrlCrossRefPubMedWeb of Science
  40. ↵
    1. Suzuki, A.,
    2. Raya, A.,
    3. Kawakami, Y.,
    4. Morita, M.,
    5. Matsui, T.,
    6. Nakashima, K.,
    7. Gaget, F. H.,
    8. Rodriguez-Esteban, C. and
    9. Belmonte, J. C. I.
    (2006). Nanog binds to Smad1 and blocks bone morphogenetic protein-induced differentiation of embryonic stem cells. Proc. Natl. Acad. Sci. USA 103, 10294-10299. doi:10.1073/pnas.0506945103
    OpenUrlAbstract/FREE Full Text
  41. ↵
    1. Takahashi, K. and
    2. Yamanaka, S.
    (2006). Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126, 663-676. doi:10.1016/j.cell.2006.07.024
    OpenUrlCrossRefPubMedWeb of Science
  42. ↵
    1. Takahashi, K. and
    2. Yamanaka, S.
    (2016). A decade of transcription factor-mediated reprogramming to pluripotency. Nat. Rev. Mol. Cell Biol. 17, 183-193. doi:10.1038/nrm.2016.8
    OpenUrlCrossRefPubMed
  43. ↵
    1. Takahashi, K.,
    2. Tanabe, K.,
    3. Ohnuki, M.,
    4. Narita, M.,
    5. Ichisaka, T.,
    6. Tomoda, K. and
    7. Yamanaka, S.
    (2007). Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell 131, 861-872. doi:10.1016/j.cell.2007.11.019
    OpenUrlCrossRefPubMedWeb of Science
  44. ↵
    1. Tang, Y.,
    2. Luo, Y.,
    3. Jiang, Z.,
    4. Ma, Y.,
    5. Lin, C.-J.,
    6. Kim, C.,
    7. Carter, M. G.,
    8. Amano, T.,
    9. Park, J.,
    10. Kish, S. et al.
    (2012). Jak/Stat3 signaling promotes somatic cell reprogramming by epigenetic regulation. Stem Cells 30, 2645-2656. doi:10.1002/stem.1225
    OpenUrlCrossRefPubMed
  45. ↵
    1. Theunissen, T. W.,
    2. Powell, B. E.,
    3. Wang, H. Y.,
    4. Mitalipova, M.,
    5. Faddah, D. A.,
    6. Reddy, J.,
    7. Fan, Z. P.,
    8. Maetzel, D.,
    9. Ganz, K.,
    10. Shi, L. Y. et al.
    (2014). Systematic identification of culture conditions for induction and maintenance of naive human pluripotency. Cell Stem Cell 15, 471-487. doi:10.1016/j.stem.2014.07.002
    OpenUrlCrossRefPubMedWeb of Science
  46. ↵
    1. Thomson, J. A.,
    2. Itskovitz-Eldor, J.,
    3. Shapiro, S. S.,
    4. Waknitz, M. A.,
    5. Swiergiel, J. J.,
    6. Marshall, V. S. and
    7. Jones, J. M.
    (1998). Embryonic stem cell lines derived from human blastocysts. Science 282, 1145-1147. doi:10.1126/science.282.5391.1145
    OpenUrlAbstract/FREE Full Text
  47. ↵
    1. Vallier, L.,
    2. Alexander, M. and
    3. Pedersen, R. A.
    (2005). Activin/Nodal and FGF pathways cooperate to maintain pluripotency of human embryonic stem cells. J. Cell Sci. 118, 4495-4509. doi:10.1242/jcs.02553
    OpenUrlAbstract/FREE Full Text
  48. ↵
    1. van Oosten, A. L.,
    2. Costa, Y.,
    3. Smith, A. and
    4. Silva, J. C. R.
    (2012). JAK/STAT3 signalling is sufficient and dominant over antagonistic cues for the establishment of naive pluripotency. Nat. Commun. 3, 817. doi:10.1038/ncomms1822
    OpenUrlCrossRefPubMed
  49. ↵
    1. Villarino, A. V.,
    2. Kanno, Y. and
    3. O'Shea, J. J.
    (2017). Mechanisms and consequences of Jak-STAT signaling in the immune system. Nat. Immunol. 18, 374-384. doi:10.1038/ni.3691
    OpenUrlCrossRefPubMed
  50. ↵
    1. Vogel, T. P.,
    2. Milner, J. D. and
    3. Cooper, M. A.
    (2015). The Ying and Yang of STAT3 in Human Disease. J. Clin. Immunol. 35, 615-623. doi:10.1007/s10875-015-0187-8
    OpenUrlCrossRef
  51. ↵
    1. Weinberger, L.,
    2. Ayyash, M.,
    3. Novershtern, N. and
    4. Hanna, J. H.
    (2016). Dynamic stem cell states: naive to primed pluripotency in rodents and humans. Nat. Rev. Mol. Cell Biol. 17, 155-169. doi:10.1038/nrm.2015.28
    OpenUrlCrossRefPubMed
  52. ↵
    1. Williams, R. L.,
    2. Hilton, D. J.,
    3. Pease, S.,
    4. Willson, T. A.,
    5. Stewart, C. L.,
    6. Gearing, D. P.,
    7. Wagner, E. F.,
    8. Metcalf, D.,
    9. Nicola, N. A. and
    10. Gough, N. M.
    (1988). Myeloid-leukemia inhibitory factor maintains the developmental potential of embryonic stem-cells. Nature 336, 684-687. doi:10.1038/336684a0
    OpenUrlCrossRefPubMedWeb of Science
  53. ↵
    1. Wingelhofer, B.,
    2. Neubauer, H. A.,
    3. Valent, P.,
    4. Han, X. N.,
    5. Constantinescu, S. N.,
    6. Gunning, P. T.,
    7. Müller, M. and
    8. Moriggl, R.
    (2018). Implications of STAT3 and STAT5 signaling on gene regulation and chromatin remodeling in hematopoietic cancer. Leukemia 32, 1713-1726. doi:10.1038/s41375-018-0117-x
    OpenUrlCrossRef
  54. ↵
    1. Woellner, C.,
    2. Gertz, M. E.,
    3. Schaffer, A. A.,
    4. Lagos, M.,
    5. Perro, M.,
    6. Glocker, E. O.,
    7. Pietrogrande, M. C.,
    8. Cossu, F.,
    9. Franco, J. L.,
    10. Matamoros, N. et al.
    (2010). Mutations in the signal transducer and activator of transcription 3 (STAT3) and diagnostic guidelines for the Hyper-IgE Syndrome. Clin. Exp. Immunol. 160, 4-4.
    OpenUrl
  55. ↵
    1. Yang, J.,
    2. van Oosten, A. L.,
    3. Theunissen, T. W.,
    4. Guo, G.,
    5. Silva, J. C. R. and
    6. Smith, A.
    (2010). Stat3 activation is limiting for reprogramming to ground state pluripotency. Cell Stem Cell 7, 319-328. doi:10.1016/j.stem.2010.06.022
    OpenUrlCrossRefPubMedWeb of Science
  56. ↵
    1. Ying, Q.-L.,
    2. Wray, J.,
    3. Nichols, J.,
    4. Batlle-Morera, L.,
    5. Doble, B.,
    6. Woodgett, J.,
    7. Cohen, P. and
    8. Smith, A.
    (2008). The ground state of embryonic stem cell self-renewal. Nature 453, 519-5U5. doi:10.1038/nature06968
    OpenUrlCrossRefPubMedWeb of Science
  57. ↵
    1. Yu, H.,
    2. Lee, H.,
    3. Herrmann, A.,
    4. Buettner, R. and
    5. Jove, R.
    (2014). Revisiting STAT3 signalling in cancer: new and unexpected biological functions. Nature Reviews Cancer 14, 736-746. doi:10.1038/nrc3818
    OpenUrlCrossRefPubMedWeb of Science
  58. ↵
    1. Zhang, J.,
    2. Espinoza, L. A.,
    3. Kinders, R. J.,
    4. Lawrence, S. M.,
    5. Pfister, T. D.,
    6. Zhou, M.,
    7. Veenstra, T. D.,
    8. Thorgeirsson, S. S. and
    9. Jessup, J. M.
    (2013). NANOG modulates stemness in human colorectal cancer. Oncogene 32, 4397-4405. doi:10.1038/onc.2012.461
    OpenUrlCrossRefPubMed
  59. ↵
    1. Zhang, J. Y.,
    2. Wang, X.,
    3. Li, M. X.,
    4. Han, J.,
    5. Chen, B.,
    6. Wang, B. and
    7. Dai, J. W.
    (2006). NANOGP8 is a retrogene expressed in cancers. Febs J. 273, 1723-1730. doi:10.1111/j.1742-4658.2006.05186.x
    OpenUrlCrossRefPubMed
  60. ↵
    1. Zhong, Z.,
    2. Wen, Z. L. and
    3. Darnell, J. E.
    (1994). STAT3 - a stat family member activated by tyrosine phosphorylation in response to epidermal growth-factor and interleukin-6. Science 264, 95-98. doi:10.1126/science.8140422
    OpenUrlAbstract/FREE Full Text
View Abstract
Back to top

RSSRSS

Keywords

 Download PDF

Email
Research Article
STAT3 modulates reprogramming efficiency of human somatic cells; insights from autosomal dominant Hyper IgE syndrome caused by STAT3 mutations
Zhen Yu, Natalia I. Dmitrieva, Avram D. Walts, Hui Jin, Yangtengyu Liu, Xianfeng Ping, Elisa A. Ferrante, Lugui Qiu, Steven M. Holland, Alexandra F. Freeman, Guibin Chen, Manfred Boehm
Biology Open 2020 9: bio052662 doi: 10.1242/bio.052662 Published 10 September 2020
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Alerts

Article Navigation

Other journals from The Company of Biologists

Advertisement

Biology Open and COVID-19

We are aware that the COVID-19 pandemic is having an unprecedented impact on researchers worldwide. The Editors of all The Company of Biologists’ journals have been considering ways in which we can alleviate concerns that members of our community may have around publishing activities during this time. Read about the actions we are taking at this time.

Please don’t hesitate to contact the Editorial Office if you have any questions or concerns.

It’s a time of turmoil for young scientists

“My students are my priority – they are on the brink of their careers.”

Dr Jodie Rummer (ARC Centre of Excellence for Coral Reef Studies at James Cook University) talks about the importance of her role as a supervisor in supporting graduate students and post docs financially, intellectually and emotionally during this period of uncertainty.

Gap junctions: historical discoveries and new findings in the C. elegans nervous system

Following the announcement of Biology Open’s new Future Leader Review articles, we are thrilled to publish our first one! Jin, Park, Lyu et al. highlight the diverse roles of gap junctions and innexins in the C. elegans nervous system, contributing to fundamental understanding of gap junctions in all animals.

Interview - Jessica Kabutomori

First author Jessica Kabutomori talks about her latest paper in BiO, which investigates murine urea transporters, sharing the biggest surprise of her work and what she has planned for the future.