ABSTRACT
Human cell reprogramming remains extremely inefficient and the underlying mechanisms by different reprogramming factors are elusive. We found that NANOG and LIN28 (NL) synergize to improve OCT4, SOX2, KLF4 and MYC (OSKM)-mediated reprogramming by ∼76-fold and shorten reprogramming latency by at least 1 week. This synergy is inhibited by GLIS1 but reinforced by an inhibitor of the histone methyltransferase DOT1L (iDOT1L) to a ∼127-fold increase in TRA-1-60-positive (+) iPSC colonies. Mechanistically, NL serve as the main drivers of reprogramming in cell epithelialization, the expression of Let-7 miRNA target LIN41, and the activation of canonical WNT/β-CATENIN signaling, which can be further enhanced by iDOT1L treatment. LIN41 overexpression in addition to OSKM similarly promoted cell epithelialization and WNT activation in reprogramming, and a dominant-negative LIN41 mutation significantly blocked NL- and iDOT1L-enhanced reprogramming. We also found that NL- and iDOT1L-induced canonical WNT activation facilitates the initial development kinetics of iPSCs. However, a substantial increase in more mature, homogeneous TRA-1-60+ colony formation was achieved by inhibiting WNT activity at the middle-to-late-reprogramming stage. We further found that LIN41 can replace LIN28 to synergize with NANOG, and that the coexpression of LIN41 with NL further enhanced the formation of mature iPSCs under WNT inhibition. Our study established LIN41 and canonical WNT signaling as the key downstream effectors of NL for the dramatic improvement in reprogramming efficiency and kinetics, and optimized a condition for the robust formation of mature human iPSC colonies from primary cells.
This article has an associated First Person interview with the first author of the paper.
KEY WORDS: Induced pluripotent stem cell (iPSC), LIN28, LIN41, WNT, Epithelialization, Reprogramming efficiency
Summary: Robust human iPSC reprogramming through the synergy of NANOG, LIN28, and inhibition of DOT1L in modulation of LIN41 expression and the canonical WNT pathway.
INTRODUCTION
Two gene cocktails, OCT4, SOX2, KLF4, and MYC (OSKM) (Takahashi et al., 2007; Takahashi and Yamanaka, 2006) and OCT4, SOX2, NANOG and LIN28A (OSNL) (Yu et al., 2007b), can reprogram somatic cells to embryonic stem cell (ESC)-like induced pluripotent stem cells (iPSCs). The reprogramming of mouse somatic cells involves two major waves of transcriptional changes (Hussein et al., 2014). The first transcriptional change occurs at the early reprogramming stage, with cells undergoing mesenchymal-to-epithelial transition (MET) for iPSC colony formation (Hussein et al., 2014; Li et al., 2010; Samavarchi-Tehrani et al., 2010). This stage is followed by the second wave that occurs during maturation and stabilization, when the pluripotency regulatory network is activated and stabilized in reprogrammed cells (Buganim et al., 2012; Golipour et al., 2012; Hussein et al., 2014; Polo et al., 2012; Samavarchi-Tehrani et al., 2010). In human cells, the early-to-middle reprogramming stages are characterized by multiple waves of lineage-related gene activation in the order of developmental reversal, with MET occurring at the middle-to-late-reprogramming stage along with pluripotent network activation (Cacchiarelli et al., 2015). This transcriptional alteration in reprogramming is accompanied by epigenomic modifications that suppress somatic gene expression/reactivation and maintain the active pluripotency regulatory network (Cacchiarelli et al., 2015; Hussein et al., 2014; Xu et al., 2016). However, the exact molecular mechanism that ensures successful human cell reprogramming is still poorly defined.
Thus far, induced pluripotency in humans remains a very inefficient and lengthy process. The reprogramming efficiency for human iPSC generation is generally at the low end of the reported range (0.00002–∼1%) in different laboratories, and it usually takes between 3 and 5 weeks for the induced iPSC colonies to appear (Malik and Rao, 2013; Rao and Malik, 2012). Additional reprogramming factors have been reported to enhance the reprogramming efficiency induced by OSKM (Hanna et al., 2009; Maekawa et al., 2011; Silva et al., 2009; Tanabe et al., 2013; Worringer et al., 2014; Yu et al., 2007b; Zhang et al., 2016). NANOG is a key gene required for pluripotency maintenance (Pan and Thomson, 2007) and is thought to stabilize reprogramming at the late iPSC induction stage (Hanna et al., 2009; Silva et al., 2009; Yu et al., 2007b). GLIS1 promotes human iPSC generation and activates Foxa2 in mouse cell reprogramming to promote MET and to reinforce the activity of the core pluripotent gene network (Maekawa et al., 2011). LIN28 is exclusively expressed in completely but not partially reprogrammed human iPSCs (Zhang et al., 2016) and promotes the maturation of reprogrammed cells, a major roadblock for successful human iPSC generation (Tanabe et al., 2013). The best known function of LIN28 is to inhibit Let-7 miRNA maturation to promote the expression of HMGA2, KRAS, MYC (Viswanathan et al., 2009) and HRAS in cancer cells (Cai et al., 2013; Yu et al., 2007a). However, unlike the ectopic expression of MYC (Takahashi et al., 2007; Takahashi and Yamanaka, 2006), ectopically expressed HMGA2, KRAS or HRAS failed to improve human iPSC generation (Worringer et al., 2014). Thus, the exact mechanisms by which these reprogramming factors regulate human cell reprogramming remain elusive.
The canonical WNT/β-CATENIN pathway signals through the T cell factor (TCF)/lymphoid enhancer factor and exerts pleiotropic effects on pluripotency establishment and maintenance. WNT maintains naïve-pluripotent mouse ESCs by suppressing the negative effector TCF7L1 (formally known as TCF3), and stimulating WNT/β-CATENIN activity facilitates mouse iPSC induction (Lluis et al., 2011; Zhang et al., 2014). However, WNT also inhibits mouse ESC proliferation via the effectors TCF7 and TCF7L2 (formally known as TCF1 and TCF4, respectively) (Cole et al., 2008; De Jaime-Soguero et al., 2017; Martello et al., 2012). In humans, WNT/β-CATENIN activity is needed for the self-renewal of primed-state human ESCs (Fernandez et al., 2014) or the generation of human iPSCs (Cevallos et al., 2018; Ross et al., 2014). However, enhancing WNT/β-CATENIN and TCF7 signaling promotes differentiation of ESCs or the reprogrammed cells (Cevallos et al., 2018; Davidson et al., 2012; Dravid et al., 2005; Jiang et al., 2013). In addition, the WNT negative regulator TCF7L1 is needed for the generation of human ESC-like, primed-state pluripotent mouse cells (Hoffman et al., 2013) and maintains human ESC pluripotency by inhibiting primitive streak commitment (Sierra et al., 2018). Thus, WNT activity needs to be carefully controlled in reprogramming. However, how different reprogramming factors regulate canonical WNT signaling for successful reprogramming remains unclear.
In the current study, we used primary human mesenchymal stem cells (MSCs) with very low efficiency in OSKM-mediated reprogramming to study the iPSC induction mediated by OSKM and the reprogramming factors GLIS1, NANOG and LIN28 (GNL). We used TRA-1-60, one of the best markers for primed-state pluripotency (Andrews et al., 1984; Chan et al., 2009) and successful iPSC generation (Onder et al., 2012; Tanabe et al., 2013), to monitor the reprogramming process. We found that NANOG and LIN28 (NL), but not GLIS1, synergize to stimulate the expression of the Let-7 target LIN41 and to enhance canonical WNT activity for human iPSC generation. The synergistic effects can be re-enforced by the inhibition of the histone 3 lysine 79 (H3K79) methyltransferase DOT1L, resulting in a more than ∼127-fold increase in TRA-1-60 positive (+) iPSC colonies. Furthermore, we discovered that although the elevated canonical WNT activity facilitates initial reprogramming kinetics, the inhibition of WNT signaling at the middle-to-late-reprogramming stage dramatically enhances the maturation of reprogrammed cells.
RESULTS
NL is more efficient than GNL in reprogramming
We first hypothesized that coexpressing GLIS1, NANOG and LIN28 would greatly enhance OSKM-mediated reprogramming based on their reported individual effects (Hanna et al., 2009; Lee et al., 2017; Maekawa et al., 2011; Yu et al., 2007b; Zhang et al., 2016). Primary MSCs were transduced with OSKM or OSKM+GNL expressed in a retroviral pMXs-vector (Fig. 1A). In the OSKM reprogramming condition, few TRA-1-60+ cell aggregates were observed on day 10 of viral infection and the development of TRA-1-60+ colonies appeared 1–2 weeks later (Fig. 1A,B). In contrast, many ESC-like TRA-1-60+ colonies readily appeared in the GNL condition on day 10 (Fig. 1A,B). The difference in the number of TRA-1-60+ colonies was also correlated with the alkaline phosphatase (AP)-staining of reprogrammed cells (Fig. 1C). Quantitative-reverse transcription PCR (qRT-PCR) analysis on reprogrammed cells at day 14 showed that the GNL combination significantly stimulated the expression of the endogenous (e) pluripotent genes OCT4, SOX2, NANOG and DPPA2 (Fig. 1D).
We then asked which factor(s) in GLIS1, NANOG and LIN28 most effectively promoted reprogramming. We applied the factors individually or in two-factor combinations to the OSKM condition. On day 12, TRA-1-60+ colonies were evident in all other conditions except for the OSKM alone (Fig. S1). The applications of GLIS1, NANOG or LIN28 each improved the reprogramming efficiency of human MSCs compared with OSKM, albeit with less efficiency than the GNL combined (Fig. 1E,F). Furthermore, while the GLIS1 and NANOG (GN) combination produced similar reprogramming efficiency to GNL, NL together increased TRA-1-60+ colonies by ∼1.6-fold over that of GNL (Fig. 1E). This result was also correlated with an increase in AP-stained colonies (Fig. 1F). No synergistic effect was observed for the GLIS1 and LIN28 (GL) combination (Fig. 1E,F). Thus, among the three additional reprogramming factors, the NL combination most dramatically enhanced OSKM-mediated reprogramming and shortened reprogramming latency by more than 1 week compared with the OSKM condition.
NL co-stimulate LIN41 to promote cell epithelialization in reprogramming
To identify a possible mechanism for the NL-enhanced reprogramming, we evaluated the gene expression in reprogrammed cells on day 14. Compared with the OSKM condition, both the addition of NL and GNL significantly improved the expression of core pluripotent genes, including endogenous NANOG, OCT4 and SOX2, with no significant difference between the two conditions (Fig. S2). We then asked if NL and GNL differentially regulate the MET process in reprogramming. Compared with OSKM alone or with GLIS1, NANOG or LIN28, NL but not GNL significantly increased the expression of the epithelial markers E-CADHERIN (E-CAD), EPCAM and OCLN (Fig. 2A). Moreover, GNL resulted in more decreased EPCAM and OCLN expression than NL (Fig. 2A). In addition, the ratio of the epithelial marker E-CAD versus the mesenchymal marker N-CAD (Nakajima et al., 2004; Wang et al., 2016) was increased more significantly in NL than in GNL compared with the OSKM-alone condition (Fig. 2B). No obvious difference was observed in the expression of mesenchymal markers among different reprogramming conditions (Fig. S3). These data indicate that NL synergize to promote cellular epithelialization in reprogramming, while the addition of GLIS1 reduces this synergy.
The mRNA of the ubiquitin ligase LIN41 is targeted by Let-7 miRNAs in Caenorhabditis elegans, mice and humans (Ecsedi et al., 2015; Nguyen et al., 2017; Slack et al., 2000; Worringer et al., 2014), and LIN41 plays an important role in overcoming the Let-7 barrier for OSKM-mediated reprogramming from fibroblasts (Worringer et al., 2014). However, although the RNA-binding protein LIN28 directly inhibits the maturation of Let-7 miRNAs (Viswanathan et al., 2008), whether it regulates LIN41 expression to promote successful reprogramming is not known. We asked if LIN41 is a downstream target of LIN28 in reprogramming. Compared with the OSKM condition, the addition of LIN28 significantly stimulated LIN41 expression, and this stimulatory effect was synergistically enhanced by NL but not by GL or GN (Fig. 2C). The addition of GNL also exhibited less LIN41 stimulation than NL (Fig. 2C). Thus, NL co-stimulate the expression of LIN41 in reprogramming whereas GLIS1 reduces this effect. We also questioned whether LIN41 overexpression could improve the OSKM-mediated reprogramming from human MSCs as previously reported from fibroblasts (Worringer et al., 2014). Similar to LIN28 overexpression (Fig. 1E), ectopic LIN41 significantly improved OSKM-mediated reprogramming efficiency (Fig. 2D,E; Fig. S4). We further questioned whether LIN41 regulates MET in reprogramming. Indeed, the overexpression of LIN41 significantly stimulated the expression of the epithelial markers E-CAD, EPCAM and OCLN (Fig. 2F). Additionally, LIN41 did not affect the expression of the mesenchymal marker SNAI1 and only slightly reduced (<25%) the expression of SNAI2 (Fig. 2F). Thus, our data indicate that LIN41 functions as a downstream target and effector of LIN28 and is co-stimulated by NL to promote reprogramming, at least partially by enhancing cellular epithelialization.
Canonical WNT signaling is synergistically stimulated by NL in reprogramming
The overexpression of the canonical WNT/β-CATENIN signaling effector TCF7 initially promoted reprogramming but induced differentiation at late-reprogramming stage (Cevallos et al., 2018). We asked whether WNT activity is modulated by GLIS1, NANOG or LIN28 in reprogramming. Among all conditions, NL substantially stimulated the expression of FZD7, the most abundant WNT receptor specific to human ESCs and necessary for pluripotency maintenance (Fernandez et al., 2014). In addition, TCF7 and the canonical WNT signaling targets AXIN2, EOMES and T (Huggins et al., 2017; Yan et al., 2001) were also greatly activated by NL (Fig. 3A). GNL exerted a smaller stimulatory effect on WNT activity than NL (Fig. 3A). These findings indicate that NL synergistically stimulates canonical WNT activity in reprogramming, while GLIS1 mitigates this stimulatory effect. Meanwhile, NL also moderately but significantly promoted the expression of TCF7L1 (Fig. 3A), the WNT antagonist and pluripotent marker necessary to prevent hyperactive WNT signaling-induced primitive streak differentiation in human ESCs/iPSCs (Cevallos et al., 2018; Sierra et al., 2018).
We also evaluated whether WNT signaling is elevated in human iPSCs by comparing two previously reported human iPSC lines (Wang et al., 2017) with their parental MSCs and the day 5 embryoid bodies (EBs) differentiated from these iPSCs. Although no obvious difference in the expression of eight canonical WNT ligands (Staal et al., 2008) was found between iPSCs and MSCs (Fig. S5), increased expression of PORCN, a membrane bound O-acetyltransferase necessary for WNT ligand secretion (Barrott et al., 2011; Biechele et al., 2011; Proffitt and Virshup, 2012), and decreased expression of DKK1, an inhibitor of canonical WNT signaling (Cruciat and Niehrs, 2013) were evident in human iPSCs compared with human MSCs (Fig. 3B). Furthermore, the three WNT receptors reported to enrich in human ESCs – FZD2/5/7 (Fernandez et al., 2014), and the WNT effectors TCF7 and TCF7L2 – were all increased in iPSCs compared with MSCs (Fig. 3B). We further found that the primitive streak/mesoendoderm markers targeted by canonical WNT signaling, including T, SP5, EOMES, AXIN2 and LHX1 (Huggins et al., 2017; Yan et al., 2001), were all highly or moderately upregulated in human iPSCs and ESCs compared with MSCs (Fig. 3C). Taken together, these results indicate that canonical WNT signaling is more active in human pluripotent stem cells than in MSCs and is synergistically stimulated by NL in reprogramming. Additionally, consistent with the known differentiation-stimulating function of fully activated WNT signaling (Sierra et al., 2018), we noticed that compared with iPSCs and MSCs, EBs exhibited markedly elevated WNT ligands (Fig. S5) and WNT effectors TCF7/TCF7L2 only moderately increased WNT antagonist TCF7L1 (Fig. 3B).
Inhibiting H3K79 methyltransferase enhances NL-stimulated reprogramming, while blocking WNT signaling promotes iPSC maturation
H3K79 dimethylation (H3K79me2) is a barrier of reprogramming from human fibroblasts (Onder et al., 2012). We asked if inhibiting H3K79me2 would further enhance the NL-mediated improvement in reprogramming efficiency. An inhibitor of the H3K79 methyltransferase DOT1L (iDOT1L) (Onder et al., 2012) was added at day 0 of reprogramming (Fig. 4A). The addition of iDOT1L enhanced OSKM-mediated reprogramming (Figs S6 and S7). Similarly, iDOT1L also enhanced the reprogramming mediated by OSKM plus a polycistronic NL expression (used hereafter in all +NL conditions), resulting in an ∼127-fold increase in total TRA-1-60+ colonies compared with the OSKM condition, in contrast to the ∼76-fold increase in the NL condition with no iDOT1L (Fig. 4B).
As we found that NL stimulate canonical WNT signaling in reprogramming, and hyperactive WNT causes human iPSC/ESC differentiation (Cevallos et al., 2018; Sierra et al., 2018), we wondered if inhibiting WNT would improve the NL-enhanced reprogramming to a greater extent. A canonical WNT inhibitor IWR1 (Chen et al., 2009) has been shown to improve the maintenance of human ESC self-renewal (Kim et al., 2013). We added IWR-1 at day 6 of reprogramming, when iPSC colony formation was evident (Fig. 4A). Interestingly, the addition of IWR1 produced flat-shaped iPSC colonies that more morphologically resemble human ESCs than the other conditions on day 12 (Fig. S8). Furthermore, the colonies observed with the addition of IWR1 exhibited brighter and more homogeneous TRA-1-60 fluorescence (Fig. S9). We therefore counted both the homogeneous and heterogeneous TRA-1-60+ colonies in reprogramming. Although the number of total (homogenous and heterogeneous) TRA-1-60+ colonies was greatest in the NL+iDOT1L condition (Fig. 4B), the ratio of homogeneous versus total TRA-1-60+ colonies remained low (<20%) (Fig. 4C). However, compared with the NL+iDOT1L condition, the NL+iDOT1L+IWR1 reprogramming condition exhibited striking increase in the number and ratio of homogeneous TRA-1-60+ colonies (Fig. 4B,C). The positive effects of iDOT1L and IWR1 on NL-enhanced TRA-1-60+ colony formation were also correlated with the AP-staining of induced colonies at reprogramming day 18 (Fig. S10). The fluorescence-activated cell sorting (FACS) further confirmed that compared with the NL+iDOT1L condition, the NL+iDOT1L+IWR1 condition significantly increased the percentage of TRA-1-60+ cells on day 14 (Fig. 4D); the median fluorescence intensity of TRA-1-60+ cells was also increased ∼1.8-fold in the NL+iDOT1L+IWR1 condition (Fig. 4E).
Consistent with the increase in total TRA-1-60+ colonies, compared with the NL condition, NL+iDOT1L increased the expression of the pluripotency markers DPPA2/5 (Qian et al., 2016; Tung et al., 2013) and some late-reprogramming stage markers, including endogenous SOX2 and DNMT3B (Buganim et al., 2012; Cacchiarelli et al., 2015; Takahashi et al., 2014) (Fig. 4F). However, compared with the NL and NL+iDOT1L conditions, the addition of IWR1 not only further enhanced the expression of these genes mentioned above, but also increased the expression of more core pluripotency markers, including endogenous OCT4, NANOG, KLF4 and DPPA4 (Cacchiarelli et al., 2015) (Fig. 4F). This was correlated with the increased TRA-1-60+ cell population as well as the enhanced TRA-1-60 fluorescence intensity in the NL+iDOT1L+IWR1 condition, and indicates a reinforcement of pluripotency network activity for the NL+iDOT1L enhanced reprogramming by inhibiting WNT.
We asked whether the addition of iDOT1L or IWR1 would impact MET in reprogramming. While NL stimulated dramatic epithelial marker expression compared with OSKM, it exhibited no obvious effect on mesenchymal markers similarly as we had observed (Fig. 4G; Fig. S3). However, compared with the OSKM condition, the NL+iDOT1L condition significantly decreased the expression of the mesenchymal markers SNAI2 (∼46%) and ZEB2 (∼33%), and the addition of IWR1 further reduced ZEB2 expression (∼57%) (Fig. 4G). These data indicate that NL are the main driving forces underlying cell epithelialization in reprogramming. Additionally, iDOT1L could enhance reprogramming by suppressing the expression of mesenchymal markers, which can be further enhanced by the addition of IWR1. All these underpin the activation of pluripotency network and promote the maturation of reprogrammed cells.
To verify the pluripotency of putative iPSCs, we picked the homogeneous TRA-1-60+ colonies on reprogramming days 18–21 from different conditions (NL, NL+iDOT1L, and NL+iDOT1L+IWR1). These cells readily expanded in a mTeSR1 feeder-free condition (Ludwig et al., 2006a,b). iDOT1L and IWR1 were removed during the expansion. These iPSC lines exhibited silencing of all transgenes at passage 11 (Fig. S11) and expressed pluripotent genes/proteins at similar levels as human ESCs (Figs S11 and S12). To confirm their differentiation capacity, iPSCs established from different conditions were subjected to EB differentiation (Fig. S13). qRT-PCR and immunostaining analyses of EBs at day 5 demonstrated significant activation of lineage markers for three germ layers (Figs S14 and S15).
iDOT1L treatment enhances NL-stimulated WNT and LIN41 activities, and LIN41 expression contributes to WNT activation in reprogramming
We asked if inhibiting H3K79me2 by iDOT1L would affect the NL-stimulated WNT activity. Interestingly, we found that iDOT1L treatment further enhanced the expression of WNT target genes induced by NL in reprogramming (Fig. 5A). As expected, IWR1 inhibited the WNT activity co-stimulated by NL and iDOT1L (Fig. 5A).
We have shown that NL synergistically stimulate LIN41 expression and that LIN41 enhances the OSKM-mediated reprogramming of MSCs (Fig. 2C–E). We further questioned if LIN41 expression is regulated by iDOT1L treatment and WNT inhibition. Compared with the NL condition, the addition of iDOT1L further enhanced LIN41 expression in reprogramming (Fig. 5B). IWR1, however, did not significantly alter LIN41 expression level (Fig. 5B). We also asked whether LIN41 could regulate WNT activity by analyzing the reprogrammed cells in OSKM and OSKM+LIN41 conditions (Fig. 2D,E). Compared with the OSKM condition, the OSKM+LIN41 condition exhibited significantly enhanced expression of canonical WNT targets, including T, EOMES and SP5 (Fig. 5C). These results indicate that NL and iDOT1L co-stimulate LIN41 expression, which is independent of WNT signaling, and LIN41 participates in the activation of canonical WNT signaling in reprogramming, which is consistent with what we had observed for NL (Fig. 3A).
The activities of WNT and LIN41 are critical for NL- and iDOT1L-mediated reprogramming
We wondered how the LIN41 and WNT activities contribute to the enhanced reprogramming by the NL and iDOT1L addition. A dominant-negative LIN41 mutant with an N-term RING domain deletion (pMXs-LIN41ΔRing) (Worringer et al., 2014) was added to the NL+iDOT1L condition. Additionally, IWR1 was added to the NL+iDOT1L condition from initial (day 0) or middle-to-late-reprogramming (day 7) to evaluate the effect of WNT signaling on reprogramming (Fig. 4A). The numbers of homogenous/heterogeneous TRA-1-60+ colonies were counted on reprogramming days 12 and 18 (Fig. 6A). Compared with the NL+iDOT1L condition, LIN41ΔRing reduced the total TRA-1-60+ colonies to only ∼20% of the NL+iDOT1L condition on both days 12 and 18 (Fig. 6A). This result also correlated with the reduced number of AP-stained colonies in the LIN41ΔRing condition on day 18 (Fig. S16). These data demonstrate that LIN41 plays a critical role in NL-induced iPSC colony formation. For WNT inhibition during reprogramming, we found that on day 12, the addition of IWR1 from day 0 reduced the number of total TRA-1-60+ colonies to ∼41% of those in the NL+iDOT1L condition, in contrast to the reduction to ∼71% when IWR1 was added from day 7 (Fig. 6A). However, on day 18, the total number of TRA-1-60+ colonies increased to ∼75% and ∼89% of the NL+iDOT1L condition for IWR1 treatments from day 0 and 7, respectively (Fig. 6A). Additionally, the ratio of homogeneous versus total TRA-1-60+ colonies was similar regardless whether IWR1 was applied from day 0 or 7, and was significantly greater than the NL+iDOT1L condition on days 12 and 18 (Fig. 6B). These data indicate that the activated WNT signaling by NL and iDOT1L plays a significant role in facilitating the kinetics of initial iPSC colony development. However, the subsequent maturation of reprogrammed cells in these colonies requires the inhibition of WNT activity.
As we found that LIN41 is a critical downstream effector of LIN28 in reprogramming, we asked whether LIN41 could replace LIN28 in synergizing with NANOG (N+LIN41) for reprogramming. In striking similarity to the NL+iDOT1L condition, when IWR1 was added (from day 6), the replacement of LIN28 with LIN41 (N+LIN41+iDOT1L) induced a ∼10-fold increase in the homogeneous TRA-1-60+ colonies compared with the condition without IWR1 on day 12 (Fig. 6C). FACS analysis further revealed a significant increase in the TRA-1-60+ cell population and fluorescence intensity when IWR1 was added to the N+LIN41+iDOT1L condition (Fig. 6D; Fig. S17). These results indicate that LIN41 can replace LIN28 to synergize with NANOG in reprogramming. Furthermore, when LIN41 was coexpressed with NL, the homogeneous TRA-1-60+ colonies further increased by >1.6-fold over the NL+iDOT1L+IWR1 condition (Fig. 6C). The increase in the TRA-1-60+ cell population by NL+LIN41+iDOT1L+IWR1 condition was also confirmed by FACS analysis (Fig. 6E). These results correlated with the number of AP-stained colonies at 3 weeks of reprogramming, showing a dramatic generation of AP+ colonies (Fig. 6F). Thus, the efficiency of establishing homogeneous TRA-1-60+ colonies from the initial MSCs by combined NL and LIN41 overexpression was ∼2% (Fig. 6C), in contrast to the ∼0.0004% efficiency under the OSKM condition (Fig. 4B), representing a 1000-fold increase in reprogramming efficiency. Taken together, the results in our study demonstrated that NL and iDOT1L promote reprogramming efficiency and kinetics via mechanisms that include LIN41 stimulation, MET and canonical WNT activation, and that the inhibition of WNT at the middle-to-late-reprogramming stage dramatically facilitates the maturation of reprogrammed cells (Fig. 7).
DISCUSSION
Human somatic cell reprogramming by OSKM or OSNL remains highly inefficient. This inefficiency is likely due to the required coordination of many cellular events to overcome the reprogramming roadblocks, including the activation of the cell cycle and MET, the silence of lineage gene expression, metabolic resetting, and the complete activation of the pluripotent regulatory network (Brouwer et al., 2016; Xu et al., 2016). We found that among the combinations of GLIS1, NANOG and LIN28, OSKM-mediated reprogramming is synergistically stimulated by the NL combination, while GLIS1 mitigates this synergy. ‘The pioneering model’ of OSKM-mediated reprogramming showed that OSK factors bind to the shared genomic targets at the initial reprogramming stage to remodel chromatin with the assistance of MYC. This gradually enhances the binding of reprogramming factors to the genomic loci and the activation of the endogenous pluripotent network (Soufi et al., 2012). However, how NL factors induce iPSCs or improve reprogramming efficiency is not completely understood (González and Huangfu, 2016). Let-7 miRNAs promote differentiation by inhibiting the genes targeted by the core reprogramming factors OCT4, SOX2 and NANOG, and the inhibition of Let-7 increased reprogramming efficiency in mice (Melton et al., 2010) and humans (Worringer et al., 2014). However, whether Lin28 can regulate LIN41 in reprogramming has not been demonstrated. We demonstrated that in reprogramming, LIN28 significantly stimulates the expression of LIN41, the direct target of Let-7, consistent with the demonstrated inhibitory function of LIN28 protein for Let-7 miRNA maturation (Heo et al., 2008; Newman et al., 2008; Rybak et al., 2008; Viswanathan et al., 2009). We also found that NL synergize in LIN41 activation and that this effect can be further augmented by inhibiting the H3K79 methyltransferase DOT1L. Similar to NL, LIN41 overexpression significantly promoted epithelial gene expression in reprogramming. We further showed that a dominant-negative mutation of LIN41 greatly suppressed the enhanced reprogramming by NL+iDOT1L. Finally, we showed that the combination of NANOG and LIN41 resulted in similar reprogramming efficiency to NL. Thus, for the first time, our findings established LIN41 as a key downstream effector of the LIN28- and NANOG-mediated enhancement in human iPSC generation and indicate that this mechanism occurs, at least partially, by promoting cellular epithelialization.
The effect of the canonical WNT/β-CATENIN pathway on reprogramming remains contradictory. A recent report showed that in OSKM-mediated human cell reprogramming, the hyperactivation of WNT at early stages promoted iPSC colony formation, while it stimulated differentiation at late stages (Cevallos et al., 2018). However, in mouse cell reprogramming, WNT inhibited early-stage reprogramming but promoted late-stage reprogramming (Ho et al., 2013). Both GLIS1 and NANOG have been indicated to activate certain components of the WNT pathway in reprogramming (Maekawa et al., 2011; Marucci et al., 2014), and WNT and LIN28 co-amplify the expression of their target genes in cancer cells (Tu et al., 2015). However, how canonical WNT activity is regulated by the reprogramming factors for iPSC generation is unclear. We found that NL factors exert synergistic effects in the stimulation of WNT/β-CATENIN activity and that this stimulation can be further enhanced by inhibiting DOT1L. Additionally, we found that NL- and iDOT1L-activated canonical WNT signaling contributes to the kinetics of initial iPSC colony development. We also found that similar to LIN28, LIN41 plays a positive role in stimulating WNT activity in reprogramming. Furthermore, we found that the inhibition of WNT activity from the middle-to-late-reprogramming stage dramatically improved the homogeneity of TRA-1-60+ colonies and the population/intensity of TRA-1-60 expression in reprogrammed cells. This finding correlates with the enhanced expression of late-reprogramming stage markers in reprogrammed cells (Fig. 4G). Our study thus unveiled a mechanism of the synergistic stimulation of LIN41 and canonical WNT activities by NL and the inhibition of H3K79me2 to ensure highly efficient reprogramming from human primary somatic cells; moreover, the suppression of WNT signaling further improved the maturation of reprogrammed cells (Fig. 7). Exactly how LIN41 works with NANOG to activate MET and WNT activities in reprogramming warrants further investigation. The robust reprogramming system we described here would be of great value to study reprogramming mechanisms using primary cell culture and to rapidly establish the appropriate quality and quantity of mature human iPSCs for differentiation studies as well as for further translational research and applications.
MATERIALS AND METHODS
Chemicals and DNA constructs
The DOT1L inhibitor EPZ004777 (iDOT1L) was purchased from AOBIOUS Inc. (Gloucester, MA, USA). WNT inhibitor IWR1 was purchased from Selleckchem (Houston, TX, USA). The constructs pMXs-OCT4, NANOG, LIN28A and GLIS1 were purchased from Addgene (Cambridge, MA, USA). Construction of the polycistronic vector pMXs-KLF4, MYC and SOX2 (KMS) was described in our previous study (Wang et al., 2017). To clone the pMXs-GNL or NL polycistronic vector, the coding sequences for human NANOG, LIN28A and GLIS1 were PCR-amplified from the above-mentioned Addgene constructs. The amplified DNA sequences for each gene were then inserted into linearized pMXs vectors (Cell Biolabs, San Diego, CA, USA) using an In-Fusion kit (Clontech Inc., Mountain View, CA, USA). 2A sequences (Carey et al., 2009; Ryan and Drew, 1994; Ryan et al., 1991) were inserted between each gene.
Retrovirus packaging with 293T cells
293T cells were plated onto six-well plates at 2.5×106 cells/plate. The next day, pMXs constructs, PUMVC and pCMV-VSVG (Addgene) plasmids were co-transfected into 293T cell using Fugene 6 reagent (Promega, Madison, WI, USA). Cell culture media containing retroviruses were harvested at 48 and 72 h post-transfection and filtered through a 0.8 μm filter. The viruses were stored in −70°C before use.
Human somatic cell reprogramming
Primary human umbilical cord-derived MSCs from ATCC (Manassas, VA, USA) were used to carry out the reprogramming experiments. MSCs were maintained with low serum mesenchymal stem cell growth kit (ATCC). For reprogramming, on day −1, MSCs at passages 5–6 were plated onto six-well tissue-culture plates at a density of 5×105 cells/plate. On day 0, retroviruses carrying OSKM and other reprogramming factors were added to the cell culture with 10 μg/ml polybrene and spinfected at 650 g for 45 min. The infected cells on day 4 were passaged onto mitomycin C-treated mouse embryonic fibroblast (MEF) feeders in the presence of 10 μM Y-27632 (Selleckchem) ROCK inhibitor. On day 4, the medium was changed to a 1:1 mix of UC-MSCs medium and human ESC medium. Starting from day 6, the cells were maintained in complete human ESC medium, which contains 20% knockout serum replacement (KSR) in DMEM/F12, supplemented with 1× NEAA, 1× Glutamax, 0.5× penicillin and streptomycin, 4 ng/ml human FGF2 (all from Thermo Fisher Scientific, Waltham, MA, USA) and 1× β-mercaptoethanol (Merck Millipore, Billierica, MA, USA). iDOT1L (3.3 μM) and IWR1 (2.5 μM) were added in reprogramming as specified in the main text and maintained thereafter. For iPSC line characterization, TRA-1-60+ colonies were picked on days 18–21 of reprogramming and grown in human ESC medium on MEF feeders. The colonies were dispatched by 1 mg/ml dispase (Thermo Fisher Scientific) at passage 2, transferred to a Matrigel (Corning Inc., NY, USA) feeder-free system and then cultured in mTeSR1 medium (STEMCELL Technologies, Inc., Vancouver, Canada) for expansion.
EB formation
EB formation experiments were carried out with human iPSC lines at passage 11. When growing to 70–80% confluency with mainly middle-size colonies, the cells were treated with freshly prepared 1 mg/ml dispase for 30 min and removed from the plate by pipetting. After three washes with DMEM/F12, the cells were then plated onto low-adhesive petri dishes in EB formation medium, which is human ESC medium without FGF2. EBs at day 5 were harvested for RNA isolation and gene expression analysis. For immunofluorescence analysis, EBs were treated by TrypLE (Thermo Fisher Scientific) on day 4 and plated onto gelatin-coated plates. The cells were subjected to immunofluorescence staining on day 14.
Immunofluorescence and TRA-1-60 live staining
Putative iPSC lines at passage 11 were subjected immunofluorescence-staining for pluripotent marker expression. The cells from EB differentiation were studied for lineage differentiation markers. For immunofluorescence, the cells were first fixed in 4% PFA for 15 min at room temperature. Following fixation, the cells were treated with 0.5% Triton X-100 in PBS for 15 min at room temperature for cell membrane permeabilization. After blocking, the cells were incubated in primary antibodies for 2 h at 37°C, followed by secondary antibodies at room temperature for 1 h. Cells were counter-stained with DAPI and imaged under a Nikon fluorescence microscope. Primary antibodies including rabbit anti-OCT4 (Merck Millipore), rabbit anti-SOX2 (Abcam, San Francisco, CA, USA), rabbit anti-NANOG (Merck Millipore), NL-557 conjugated OTX2, NL-493 conjugated GATA4 (R&D Systems, Minneapolis, MN, USA) and mouse anti-SMA (Sigma-Aldrich, St. Louis, MO, USA) were used at 1:100 dilution. Alexa Fluro 488 conjugated goat anti-rabbit or goat anti-mouse secondary antibody (Cell Signaling Technology, Danvers, MA, USA) was used in 1:500 dilution.
For TRA-1-60 live staining, the cells in different reprogramming conditions were stained with GloLIVE TRA-1-60 live-stain antibodies (R&D Systems) according to the manufacturer's protocol. Briefly, the cells were incubated in reprogramming media containing TRA-1-60 antibodies at 1:100 dilution for 30 min. The cells were then washed with DPBS and continued to be cultured in reprogramming media. For colony counting, the stained colonies were visualized under a Nikon fluorescence microscope, with homogenous and heterogeneous TRA-1-60+ colony numbers counted. For FACS analysis, cells were treated with TrypLE and resuspended in reprogramming media. Stained cells were then analyzed with a BD LSRFortessa flow cytometer with fluorescence excitation at 557 nm (BD Biosciences, San Jose, CA, USA). FlowJo software was used for data analysis.
qRT-PCR analysis
Total RNAs were isolated from parental MSCs, reprogrammed MSCs, or putative iPSCs, or human H9 ESCs with RNeasy mini kits (Qiagen, Hilden, Germany). Genomic DNAs were removed by DNase I (Qiagen) incubation. 0.5 μg total RNAs were then reverse transcribed into cDNA using iScript reverse transcription supermix (Bio-Rad Laboratories, Hercules, CA, USA). qPCR reactions were performed with SYBR Green supermix (Bimake, Houston, TX, USA) using the ABI 7500 Fast platform (Thermo Fisher Scientific). GAPDH was used as the housekeeping gene for gene expression normalization. Data were processed with the software associated with ABI 7500. Heatmap based on the qRT-PCR data were generated using Heatmapper (Babicki et al., 2016) (www.heatmapper.ca).
Statistical analysis
Unless specifically indicated, all experiments were performed at least three times and data were shown as mean±standard deviations (s.d.) of the mean. Statistical analysis was carried out using either two-sample t-test with Minitab 18, or ANOVA with Randomized Complete Block design (RCB) and LSD post hoc test with SAS 9.4. P<0.05 was considered to be significant.
Supplementary Material
Footnotes
Competing interests
The authors declare no competing or financial interests.
Author contributions
Conceptualization: L.W., Y.T.; Validation: Y.S., C.H., Y.Y., A.C., A.K.; Formal analysis: L.W., Y.T.; Investigation: L.W., Y.S., C.H., Y.Y., A.C., A.K.; Writing - original draft: L.W., Y.T.; Writing - review & editing: L.W., Y.T.; Supervision: Y.T.; Project administration: Y.T.; Funding acquisition: Y.T.
Funding
This work was supported by the Agriculture and Food Research Initiative Competitive Grant no. 2016-67016-24894 and 2019-67015-29413 to Y.T. from the United States Department of Agriculture (USDA)/National Institute of Food and Agriculture (NIFA), and by a USDA/NIFA W3171/W4171 regional project to Y.T.
Supplementary information
Supplementary information available online at http://bio.biologists.org/lookup/doi/10.1242/bio.047225.supplemental
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