# XACT noncoding RNA competes with XIST in the control of X chromosome activity during human early development

Céline Vallot, Catherine Patrat, Amanda J. Collier, Christophe Huret, Miguel Casanova, Tharvesh M. Liyakat Ali, Matteo Tosolini, Nelly Frydman, Edith Heard, Peter J. Rugg-Gunn, et al.

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## To cite this version:

Céline Vallot, Catherine Patrat, Amanda J. Collier, Christophe Huret, Miguel Casanova, et al., XACT noncoding RNA competes with XIST in the control of X chromosome activity during human early development. Cell Stem Cell, 2017, 20 (1), pp.102-111. 10.1016/j.stem.2016.10.014. hal-01607750

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**Cell Stem Cell**

# XACT Noncoding RNA Competes with XIST in the Control of X Chromosome Activity during Human Early Development

## Graphical Abstract

<figure><img src="image_3.png" /></figure>

## Authors

Céline Vallot, Catherine Patrat,
Amanda J. Collier, ..., Edith Heard,
Peter J. Rugg-Gunn, Claire Rougeulle

## Correspondence

celine.vallot@univ-paris-diderot.fr (C.V.),
claire.rougeulle@univ-paris-diderot.fr
(C.R.)

## In Brief

Rougeulle and colleagues show that, in human pre-implantation embryos and naive human embryonic stem cells, the IncRNAs *XIST* and *XACT* accumulate together on active X chromosomes. Functional data suggest that *XACT* restrains *XIST* activity before the initiation of X inactivation takes place.

## Highlights

* XACT and XIST simultaneously coat active X chromosomes in human embryos

* Naive hESCs capture the pre-inactive state with XIST and XACT co-accumulation

* XIST adopts a dispersed configuration in pre-inactive cells in vitro and in vivo

* XACT prevents XIST accumulation in cis in a mouse heterologous system

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# XACT Noncoding RNA Competes with XIST in the Control of X Chromosome Activity during Human Early Development

Céline Vallot,<fnref n="1" />,* Catherine Patrat,<fnref n="2" />,<fnref n="3" />,<fnref n="4" /> Amanda J. Collier,<fnref n="5" />,<fnref n="6" /> Christophe Huret,<fnref n="1" /> Miguel Casanova,<fnref n="1" /> Tharvesh M. Liyakat Ali,<fnref n="1" /> Matteo Tosolini,<fnref n="1" />,<fnref n="10" /> Nelly Frydman,<fnref n="8" />,<fnref n="9" /> Edith Heard,<fnref n="2" /> Peter J. Rugg-Gunn,<fnref n="5" />,<fnref n="6" />,<fnref n="7" /> and Claire Rougeulle<fnref n="1" />,<fnref n="11" />,*

## SUMMARY

Sex chromosome dosage compensation is essential in most metazoans, but the developmental timing and underlying mechanisms vary significantly, even among placental mammals. Here we identify human-specific mechanisms regulating X chromosome activity in early embryonic development. Single-cell RNA sequencing and imaging revealed co-activation and accumulation of the long noncoding RNAs (lncRNAs) *XACT* and *XIST* on active X chromosomes in both early human pre-implantation embryos and naive human embryonic stem cells. In these contexts, the *XIST* RNA adopts an unusual, highly dispersed organization, which may explain why it does not trigger X chromosome inactivation at this stage. Functional studies in transgenic mouse cells show that *XACT* influences *XIST* accumulation in *cis*. Our findings therefore suggest a mechanism involving antagonistic activity of *XIST* and *XACT* in controlling X chromosome activity in early human embryos, and they highlight the contribution of rapidly evolving lncRNAs to species-specific developmental mechanisms.

## INTRODUCTION

In mammals, the activity of the X chromosomes has to be tightly controlled to accommodate the disequilibrium of X-linked gene dosage between males and females. This is achieved through compensatory mechanisms, which serve to equalize X chromo-

some expression between sexes and relative to autosomes (Dis- teche, 2016). While X chromosome dosage compensation is essential for proper development, the underlying strategies vary extensively between species. In the mouse, for instance, X chromosome inactivation (XCI) is initiated rapidly after zygotic genome activation (ZGA), several divisions prior to blastocyst implantation. In contrast, human pre-implantation development proceeds in the apparent absence of XCI; instead, dosage compensation is transiently achieved by reducing the expression of both X chromosomes in females (Petropoulos et al., 2016). The mechanisms underlying these differences are still poorly understood.

XCI is triggered by the accumulation of the long noncoding RNA (lncRNA) *XIST* on the chromosome, which recruits protein complexes involved in chromatin remodeling, chromosome structuration, and nuclear organization (Chu et al., 2015; McHugh et al., 2015; Minajigi et al., 2015). Strikingly, however, in human pre-implantation embryos, *XIST* accumulates on every X chromosome in both males and females without inducing robust transcriptional repression or enrichment of H3K27me3, a hallmark of the inactive state (Okamoto et al., 2011). This unusual configuration suggests the existence, in embryos, of mechanisms preventing *XIST*-mediated XCI, which would to some extent be specific to the human, since in the mouse *Xist* accumulation systematically results in the inactivation of the coated chromosome.

We recently have identified *XACT*, an X-linked lncRNA that coats active X chromosomes in human pluripotent stem cells. *XACT* is weakly conserved across mammals and is absent from the mouse, suggesting that it could fulfill a primate-specific function (Vallot et al., 2013). Insight into such function came from the analysis of XCI status and its instability in human embryonic stem cells (hESCs). XCI has indeed been established in most hESCs derived so far, but this status is unstable and hallmarks

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<footnote n="1">¹Sorbonne Paris Cité, Epigenetics and Cell Fate, UMR 7216 Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot, 75013 Paris, France</footnote>

<footnote n="2">²Mammalian Developmental Epigenetics Group, Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France</footnote>

<footnote n="3">³Université Paris Diderot, Sorbonne Paris Cité, 75018 Paris, France</footnote>

<footnote n="4">⁴Reproductive Biology Department, AP-HP, Bichat-Claude Bernard Hospital, 75018 Paris, France</footnote>

<footnote n="5">⁵Epigenetics Programme, The Babraham Institute, Cambridge CB22 3AT, UK</footnote>

<footnote n="6">⁶Wellcome Trust - Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 1QR, UK</footnote>

<footnote n="7">⁷Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, UK</footnote>

<footnote n="8">⁸Université Paris-Sud, Clamart 92140, France</footnote>

<footnote n="9">⁹Unit of Reproductive Biology, AP-HP, Hôpital Antoine Béclère, Clamart 92141, France</footnote>

<footnote n="10">¹⁰Present address: INRA, UMR1198 Biologie du Développement et Reproduction, 78350 Jouy-en-Josas, France</footnote>

<footnote n="11">¹¹Lead Contact</footnote>

<footnote>*Correspondence: celine.vallot@univ-paris-diderot.fr (C.V.), claire.rougeulle@univ-paris-diderot.fr (C.R.)
http://dx.doi.org/10.1016/j.stem.2016.10.014</footnote>
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<figure><img src="image_11.png" /><figcaption>Figure 1. XACT and XIST Are Co-expressed in the Early Stages of Human Development</figcaption></figure>

(A) Principal component analysis illustrates the developmental trajectory within the two datasets used in this study, based on the n = 1,000 most variant GENCODE genes within each dataset.

(B) Boxplot of XACT and XIST expression levels (log2 FPKM) according to developmental stage, from dataset 1.

(C) Upper panel: plot of XACT versus XIST expression levels (log2 reads per kilobase per million mapped reads [RPKM]) in early-stage female cells of dataset 2 (E3, E4, and early E5), with corresponding Spearman correlation score and p value. Lower panel: distribution of Spearman correlation scores between XIST and each X-linked gene expression level. The median correlation score is indicated as a blue dashed line and a red line indicates the correlation score with XACT expression levels.

(D) Plots of XACT versus XIST expression levels (log2 RPKM) in late-stage female cells of dataset 2 (E5, E6, and E7), in trophectoderm (left panel) and epiblast and primitive endoderm cells, as assessed by a 75-gene signature shown in Figure S1C. The corresponding Spearman correlation score and p value are indicated.

(E) Boxplot of the number of X-linked bi-allelic positions normalized by coverage according to day of development for dataset 2. The p values of a Wilcoxon rank test comparing distributions between stages are indicated above the boxplot.

(F) Boxplot of the number of X-linked bi-allelic positions normalized by coverage for XACT-positive and -negative cells in female late-stage blastocysts. The p value of a Wilcoxon rank test comparing both distributions is indicated above the boxplot.

of the inactive state are spontaneously and irreversibly lost in culture. This erosion of XCI is characterized by the loss of *XIST* expression, loss of H3K27me3 enrichment, DNA hypomethylation, and partial gene reactivation (Mekhoubad et al., 2012; Nazor et al., 2012; Vallot et al., 2015). Accumulation of *XACT* is also a feature of the eroded X and occurs early during the erosion process, prior to the loss of *XIST* and to gene reactivation (Vallot et al., 2015). This order of events suggests that *XACT* could participate in the instability of XCI in hESCs by influencing *XIST* expression, *XIST* RNA activity, or localization.

Here we show that *XACT* is expressed in human pre-implantation embryos, where it accumulates, together with *XIST*, on active X chromosomes. We also report an in vitro context of naive pluripotency that recapitulates the in vivo situation, thus defining a unique pre-inactivation state in human development. Functional evidences further indicate that *XACT* influences

*XIST* accumulation in *cis*, suggesting that dosage compensation establishment in human involves the antagonistic action of two lncRNAs.

## RESULTS

### XIST and XACT Expression Profiling from Single-Cell RNA-Seq Human Pre-implantation Embryo Datasets

To investigate the biological relevance of XACT and its putative function in XCI, we probed its expression in vivo, in the early stages of human development. We analyzed four independent sets of single-cell RNA sequencing (RNA-seq) data generated from human pre-implantation embryos, which we grouped into two datasets (Figure 1A) based on the methods used to classify embryos. In dataset 1 (Blakeley et al., 2015; Xue et al., 2013; Yan et al., 2013), embryos (41 embryos; n = 146 cells) are classified
by developmental stages, ranging from oocyte to blastocyst, whereas in dataset 2 (Petropoulos et al., 2016), embryos (88 embryos; n = 1,529 cells) are classified according to the day of development, ranging from embryonic day E3 to E7.

The major burst of zygotic XIST and XACT expression occurred concomitantly between the four-cell and the eight-cell stages (Figure 1B). XIST was undetectable prior to these stages, while there was a modest maternal contribution for XACT (average fragments per kilobase per million mapped reads [FPKM] = 0.005 from oocyte to two-cell stage). The expression of XIST and XACT was strongly correlated at early stages of development (from E3 to early E5) in both female and male embryos, suggesting that the two noncoding genes, which are located 40 Mb apart on the X, might be co-regulated (Figure 1C; Figure S1B). This correlation was likely significant and not only due to ZGA, as it was not observed for any other X-linked genes (lower panel, Figure 1C). However, XIST-XACT correlation did not persist in later-stage embryos (from E5 to E7, Figure S1D). In females, XIST and XACT were maintained co-expressed in epiblast (EPI and EPI-TE) and primitive endoderm (PE) cells. In contrast, trophectoderm (TE) cells displayed variable XACT levels (Figure 1D) while maintaining stable XIST expression. Such a pattern suggests that, once initiated, the expression of XIST and XACT can be regulated independently, in agreement with the persistence of XIST expression from the inactive X chromosome in differentiated cells where XACT is repressed (Vallot et al., 2013).

We next exploited both datasets to follow the dynamics of XACT and XIST expression in the context of XCI. Applying a dedicated pipeline based on Genome Analysis Toolkit (GATK) tools (McKenna et al., 2010), we used the normalized number of X-linked bi-allelic positions as a marker of X chromosome activity in female cells (Figures S1E and S1F). The number of bi-allelic positions on the X decreased significantly with developmental stage in both datasets compared to several autosomes (Figure 1E; Figures S1G and S1H), indicative of a potential initiation of X chromosome silencing. Although this contrasts somewhat with a recent report that concluded an absence of XCI at these stages (Petropoulos et al., 2016), the discrepancy may be due to the choice of threshold for calling bi-allelic positions (i.e., allelic ratio, Figure S1I). Altogether, these findings suggest the existence of an expression imbalance between the two X chromosomes starting at E6, which can be interpreted as an initiation of XCI. Strikingly, XACT-negative cells were the ones displaying the lowest numbers of X-linked bi-allelic positions (Figure 1F, p = 0.0066), potentially linking in time the repression of XACT to the initiation of XCI.

## XIST and XACT Co-accumulate on X Chromosomes in Pre-implantation Embryos

Single-cell RNA-seq analysis thus revealed that XACT and XIST can be simultaneously expressed within a given cell and likely from a given chromosome, as extrapolated from male samples. The known ability of these two noncoding transcripts to individually coat the chromosome from which they are expressed prompted us to investigate their nuclear distributions at the single-cell level in human pre-implantation embryos. This also enabled us to refine our understanding of the timing and allelism of expression and the localization of XACT and XIST by precise

developmental scoring of embryos, through the use of a blastocyst morphological classification (Gardner et al., 2000) and the assessment of total cell counts for each embryo. RNA-fluorescence in situ hybridization (FISH) analysis of one female morula and eight male and 11 female blastocysts not only confirmed the expression of XACT at these developmental stages but also further demonstrated that XACT retains its ability to form an RNA cloud in vivo (Figure 2A). XACT coated the single X chromosome in males and one or both Xs in the majority of cells of female morula and early blastocysts, with a tendency to shift from bi- to mono-allelic expression as female blastocysts increased in cell number (Figure S2A). The overall proportion of cells with XACT expression decreased as development progressed (Figure 2B). Our prior RNA-seq analysis together with visual observation of labeled blastocysts suggests that XACT-negative cells are from the TE.

Simultaneous RNA-FISH for XIST and XACT in male and female blastocysts showed that both transcripts were often co-expressed from the X chromosome and accumulated in large domains within the nucleus (Figure 2C). XIST and XACT RNAs were, however, differentially distributed and the two signals barely overlapped (Figure 2C, zooms, Figure 2D), indicating that XIST and XACT transcripts occupy distinct nuclear territories. While the expression of XIST remained constant from the early (B1) to late/hatching (B5) blastocyst stage (Figure 2E), the proportion of cells with co-accumulation of XACT and XIST decreased according to the blastocyst cell number (Figure S2B), in agreement with the loss of XACT expression in a subset of blastocyst cells. In addition, no recurrent pattern could be identified when the relative allelic expression of XIST and XACT were compared (Figure S2C), confirming that, once activated, XIST and XACT can be regulated independently and suggesting some degree of stochasticity in their expression in blastocysts.

## XIST and XACT Co-accumulate on Active X Chromosome in Naive Pluripotent Stem Cells

In vivo pre-inactivation status in human is thus characterized by the co-accumulation of XACT and XIST on active X chromosomes, in both males and females. hESCs in a pre-inactive state have been reported (Gafni et al., 2013; Lengner et al., 2010; Tomoda et al., 2012; Ware et al., 2014), but this status appears to be difficult to generate and maintain in culture. In addition, determining the X chromosome activity status in hESCs could prove challenging, given the spontaneous propensity of the inactive X to undergo partial reactivation in cultured hESCs and the resulting confusion between pre-inactive and eroded states (Vallot et al., 2015). More importantly, none of the naive-state hESCs reported so far have displayed XIST expression, as would be predicted from the data presented here and from previous analysis of XIST RNA status in human embryos (Okamoto et al., 2011). Additional protocols to capture naive hESCs have been described recently; in these cases, the epigenetic, metabolic, and transcriptomic signatures were strongly indicative of naive-state pluripotency (Takashima et al., 2014; Theunissen et al., 2014), but the status of the X chromosome had not been investigated in depth.

We first studied in primed H9 female hESCs and in their naive derivatives (Takashima et al., 2014) the expression of ATRX and FGD1, since these two X-linked genes resist XCI erosion
A

Female Morula

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Male B3 Blastocyst

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B

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C

Female B3 Blastocyst

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Male B1 Blastocyst

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D

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E

<figure><img src="image_19.png" /><figcaption>Figure 2. XACT Co-accumulates with XIST on the X Chromosome(s) in Human Pre-implantation Embryos</figcaption></figure>

(A) Examples of female and male embryos analyzed by RNA-FISH to detect XACT expression.

(B) Left panel: the proportion of cells per male (dark circles) and female (white circles) blastocyst displaying XACT expression was plotted against blastocyst cell number. Right panel: the percentage of cells with XACT expression at each blastocyst stage (right), from B1 to B5, is shown. Below the graphs are indicated total cell number ($n_c$) and the number of embryos ($n_v$) analyzed. The Spearman correlation score between the proportion of XACT-positive cells and the developmental stage is indicated.

(C) Simultaneous analysis of XIST (in green) and XACT (in red) expression by RNA-FISH in female and male blastocysts. White scale bars represent 50 µm for total embryos and 5 µm for zooms.

(D) Left panel: scatterplot representing the intensity of XIST versus XACT signal above respective thresholds for one nucleus. The red horizontal line and the green vertical line represent computed thresholds for XACT- and XIST-associated images, respectively. Signals were compared using a Spearman correlation test. Right panel: distribution of Spearman correlation scores for $n = 91$ nuclei is shown. A red line indicates the median correlation score and a blue line displays the density plot.

(E) Percentage of cells with XIST accumulation at each blastocyst stage, from B1 to B5. Below the graphs are indicated total cell number ($n_c$) and the number of embryos ($n_v$) analyzed. The Spearman correlation score between the proportion of XIST-positive cells and the developmental stage is indicated.

naive hESCs, and it accumulated in the nucleus in over 80% of naive H9 on one or two Xs (Figures 3A and 3B). The expression of XIST was, however, highly unstable, and the percentage of cells with two or even one XIST RNA cloud displayed high batch-to-batch variability. This variation occurred independently of

the activity status of the X chromosome, which remained remarkably constant (Figure 3D). Bi-allelic ATRX expression and XIST accumulation on one or both Xs was similarly observed in an independent naive cell line WIBR3 (Figure 3E) (Theunissen et al., 2014). We also investigated whether the commercially available RSeT-defined medium (STEMCELL Technologies) could efficiently revert XCI, but we did not detect bi-allelic expression of ATRX or XIST expression, revealing that XCR did not occur in these conditions (Figures S3A–S3D).

We probed the chromatin landscape of the X chromosomes in naive female H9 hESCs. Confocal analyses of immunofluorescence (IF) profiles for various histone marks combined to XIST RNA-FISH first showed an absence of H3K27me3 and H3K9me3 within the XIST RNA domain (Figure 3F), indicating that XIST accumulation in this context was not sufficient to

(Vallot et al., 2015) yet are expressed from the two Xs in female pre-implantation embryos (Okamoto et al., 2011). Both genes were indeed mono-allelically expressed in the parental, primed hESCs. In striking contrast, two pinpoints for ATRX and FGD1 were detected in 84% and 83%, respectively, of the naive cells, demonstrating that the conversion from primed to naive states was accompanied by substantial X chromosome reactivation (XCR) (Figures 3A and 3B). The presence of two active Xs in naive cells was further confirmed by allelic analysis of RNA-seq datasets (GEO: GSE60945 of Takashima et al., 2014), which revealed an increase in bi-allelically expressed genes in the naive state as compared to primed cells (from 55% to 76%, $p = 0.0070$, Figure 3C). More strikingly, while XIST was fully and uniformly repressed in the parental primed cells, indicating that these cells had undergone XCI erosion, XIST was strongly upregulated in
<figure><img src="image_20.png" /><figcaption>**Figure 3. Naive hESCs Carry Active X Chromosomes Coated by XIST**</figcaption></figure>

(A) Analysis of XIST (in green) and FGD1 (in red) expression by RNA-FISH in female H9 primed hESCs and their naive derivatives. The numbers indicate the percentage of cells with the displayed expression pattern. Primed cells have one active X chromosome (Xa) and one X chromosome that has undergone erosion of XCI (Xe). Naive cells carry two active Xs (XaXa). The white scale bars represent 5 µm.

(legend continued on next page)
trigger recruitment of repressive histone marks. This was reminiscent of the situation in human embryos where no H3K27me3 enrichment was detected on the *XIST*-coated chromosome (Okamoto et al., 2011). Analysis of published chromatin immunoprecipitation sequencing (ChIP-seq) datasets (Theunissen et al., 2014, 2016) confirmed the lack of H3K27me3 and H3K9me3 enrichment on the X in naive hESCs compared to the Xi in *XIST*-expressing primed cells (Figure S3E). Strikingly, IF analysis of H3K4me2 and H3K27Ac further revealed that the X chromosomes in naive hESCs, although active, resided in nuclear territories relatively devoid of active histone marks (Figure 3F).

We next investigated XACT expression in naive hESCs by RNA-FISH. XACT was expressed and accumulated on every X chromosome in the majority of naive H9 and WIBR3 cells (Figure 3G; Figure S3F), and this pattern was stably maintained in culture (Figure 3G). In cells in which XIST also was expressed, the two IncRNAs, although produced from the same chromosome(s), accumulated in distinct nuclear domains; as in embryos, no overlap could be detected between XIST and XACT signals (Figure 3H, median Spearman correlation score r = -0.32). Reinforcing the similarity between naive hESC and pre-implantation embryos, qualitative analysis revealed a much more dispersed XIST RNA-FISH signal in conditions where the Xs were active (embryos and naive hESCs) than in XIST-expressing primed hESCs (Wilcoxon rank test p value < 10⁻¹⁶ and p < 10⁻¹³, respectively), in which XIST coated an inactive X chromosome (Figure 3I). The different distribution of the XIST signal in naive versus primed pluripotent cells might underlie its limited ability to silence the chromosome in cis.

## XACT Expression Influences XIST Accumulation in a Transgenic Context

The dispersed nature of the *XIST* RNA signal on active X chromosomes in human embryos and naive hESCs where it accumulates with XACT, together with the lack of co-localization of *XIST* and XACT, raises the hypothesis that XACT might perturb

the tight localization of *XIST* across the chromosome and/or its silencing capacities. To test these hypotheses, we sought to generate a system in which XACT expression would precede XIST upregulation. For this, we inserted a BAC transgene containing a large part of XACT including its promoter region into mouse ESCs. By using first an untargeted approach, we obtained one clone (clone R1) in which insertion of the XACT BAC randomly occurred on one of the two Xs, distal to the Xist locus, as shown by DNA-FISH on metaphase spreads (Figure 4B). We next used the CRISPR/Cas9 technology to force the insertion of the BAC onto the X, by targeting the integration between the protein-coding genes Amot and Htr2c, which corresponds to the XACT syntenic region on the mouse X chromosome (Figure 4A) (Vallot et al., 2013). Using this strategy, we isolated several clones with transgene insertion on the X, two of which were selected for further investigation (T1 and T9). As the control we used clones in which an unrelated BAC containing the human *FGD1* gene was similarly inserted on the X and clones in which XACT was inserted on autosomes (Figure S4A).

XACT expression was specifically detected in the clones with XACT BAC transgenes, and in most clones XACT formed an RNA cloud in a large proportion of cells (Figure 4B; Figure S4A). The copy number of inserted BACs for each of these clones was determined by real-time qPCR (Figure S4E). Xist was appropriately upregulated, albeit to variable extents, when transgenic clones were induced to differentiate, while XACT expression tended to decrease upon differentiation, similar to what has been observed in humans (Vallot et al., 2013) (Figures S4B and S4C). Within the population of cells in which XACT expression was maintained, we observed a significant bias in the choice of the Xist-coated chromosome, with Xist being preferentially upregulated from the X not carrying XACT in the R1 and T9 clones (Figure 4C; Fisher's exact test, p < 10⁻⁴). However, in the T1 clone (as in clones in which the *FGD1* BAC was integrated on the X, Figure S4D), Xist was able to accumulate similarly on the transgenic and wild-type (WT) X chromosomes (Figure 4C; Figure S4F). Variation in the expression levels of XACT is unlikely

(B) Analysis of XIST (in green) and ATRX (in red) expression by RNA-FISH in naive H9 cells. Panels 1 and 2 are zooms taken within the colony displayed on the left. The white scale bars represent 10 µm for the image of the colony (left panel) and 5 µm for the zooms (right panels).

(C) Allelic analysis of RNA-seq data generated from H9 primed (left) and naive (right) cells (Takashima et al., 2014). Informative positions gathered from the H9 genome (Vallot et al., 2015) showing mono-allelic expression are indicated in gray, those with bi-allelic expression in blue. Numbers of mono-allelic and bi-allelic genes in primed and naive cells are indicated beneath each cartoon. Numbers of bi- and mono-allelically expressed genes were compared using a Fisher's exact test.

(D) Upper panel: quantification of XaXa (blue) and XaXi/XaXe (gray) cells in primed and in several batches of naive H9 cells. The XaXa status was defined based on bi-allelic expression of *FGD1*, n, the number of cells counted; in brackets are indicated the number of colonies. Lower panel: similar quantification of cells with zero (gray), one (light green), and two (dark green) *XIST* RNA clouds is shown. p, passage number.

(E) Assessment of ATRX (in red) and XIST (in green) expression in primed and naive female WIBR3 cells. Quantification is as in (D), except that the XaXa status in that case was defined based on bi-allelic expression of ATRX.

(F) Confocal analysis of immunofluorescence (IF) for H3K9me3, H3K27me3, H3K4me2, and H3K27Ac (in green) coupled to XIST RNA-FISH (in red). A representative image is shown for each histone mark, and panels on the right display quantification of gray levels for IF and RNA-FISH signals along the white dashed lines within a single z section. The white scale bar represents 5 µm.

(G) Assessment of XIST (in green) and XACT (in red) expression by RNA-FISH and quantification of the observed profiles in two different batches of naive H9 cells. p, passage number.

(H) Left panel: scatterplot representing the intensity of XIST versus XACT signal above respective thresholds for one nucleus. The red horizontal line and the green vertical line represent computed thresholds for XACT- and XIST-associated images, respectively. Signals were compared using a Spearman correlation test. Right panel: distribution of Spearman correlation scores for n = 56 nuclei. A red line indicates the median correlation score and a blue line displays the density plot.

(I) Left panel: model for the computation of a dispersion value for each *XIST* signal. Right panel: boxplot illustrates the distribution of the dispersion of *XIST* RNA-FISH signal in embryos and in primed and naive H9 and WIBR2 cells. Median dispersions are indicated above the boxplot for each group, Wilcoxon rank test was used to compare distributions of *XIST* signal dispersion among primed H9 cells, naive H9 cells, and embryo cells.
A

HUMAN

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MOUSE

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E

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F

<figure><img src="image_27.png" /><figcaption>Figure 4. Inserting *XACT* on a Mouse X Chromosome Influences the Choice of the Inactive *X*</figcaption></figure>

(A) Map of the XACT locus in human and of the syntenic region on the mouse X chromosome into which the XACT BAC was integrated.

(B) Assessments of XACT and Xist expression in interphase nuclei of undifferentiated mouse ESCs (upper panels) and of their localization on metaphase chromosomes (lower panels) in clones with random (R1) or targeted (T1 and T9) integration of XACT.

(C) Assessment of the chromosome of origin for Xist expression related to XACT integration in Xist- and XACT-positive cells at day 7 of differentiation, using RNA-FISH for Xist (in green) and XACT (in red). Barplot on the right panel shows the quantification of the respective expression patterns in one representative experiment, which were compared using a Fisher's exact test.

(legend continued on next page)
to account for those differences, as the T1 clone expressed inter-
mediate levels of *XACT* compared to R1 and T9 clones (Fig-
ure S4B). However, we found that the nuclear volume occupied
by *XACT* was correlated with its ability to bias *Xist* expression
(Figure 4D). *XACT* nuclear volume in R1 and T9 clones was in
the same range as in naive hESCs and significantly higher than
in the T1 clone. The comparison between the T1 and T9 clones
is particularly relevant as they shared the same insertion site
for *XACT*.

To further investigate the impact of *XACT* RNA on *Xist* accu-
mulation, we knocked down *XACT* in the T9 clone using LNA
Gapmers. Successive rounds of knockdown (KD) both prior to
and at the onset of differentiation induced a strong decrease in
*XACT* RNA levels and in the *XACT* RNA cloud volume (Figure 4E;
Figure S4G). By performing simultaneous RNA-DNA-FISH ex-
periments to assess the localization of the *Xist* cloud with respect
to the *XACT* transgene (independently of *XACT* expression), we
showed that *XACT* KD reverted XCI to random, with *Xist* accu-
mulating in the same proportion on the WT or on the *XACT*
transgenic X chromosome (Figure 4F). Altogether, our data
demonstrate that robust accumulation of *XACT* on one
X chromosome directly impacts the expression or localization
of *Xist* in *cis*.

DISCUSSION

Here, by benchmarking the naive state of pluripotency to the
human embryo, we have demonstrated that the pre-XCI state
in humans is characterized by the simultaneous accumulation
of XIST and XACT on active X chromosomes. This scenario,
which differs radically from the mouse, highlights the plasticity
of epigenetic regulations across species and the contribution
of lncRNAs to species specificity.

During human development, XIST expression and accumula-
tion on X chromosomes begin rapidly after ZGA, yet it takes
several divisions before XIST initiates XCI. While we confirm
here the lack of chromosome-wide XCI prior to implantation,
our allelic analysis of RNA-seq data points to an initiation of
silencing at the late pre-implantation stages, which would act
initially at a gene-to-gene level. We moreover show that active
X chromosomes decorated by XIST are also characteristic of
naive-state pluripotency in vitro. XIST expression is, however,
highly unstable in this context, suggesting that culture conditions
to maintain cells in the naive state are not yet optimum and that
XIST-positive cells might be counter-selected in current condi-
tions. Bi-allelic XIST accumulation might thus be used as a
biomarker for defining naive human pluripotency, in the search

for refined growth conditions. In addition, during the transition
from primed to naive pluripotency, XCR appears to be un-
coupled from the major transcriptional and morphological
resetting of the cells and likely occurs late in the course of the re-
programming process.

Our findings reveal that XIST adopts a peculiar, more
dispersed configuration in naive contexts, which may underlie
its poor silencing ability. In addition, this scattered accumulation
appears not sufficient to recruit repressive histone marks on the
X chromosomes. We furthermore show that pre-inactive X chro-
mosomes also accumulate XACT, both in vitro and in vivo,
demonstrating that XACT expression is not restricted to cultured
cells and further highlighting its biological relevance. The
concomitant activation of XIST and XACT following fertilization
is suggestive of a concerted action in a common biological
process.

The facts that XIST and XACT RNAs co-accumulate yet barely
overlap and that introducing XACT into a heterologous system
influences Xist RNA accumulation in cis further suggest that
XACT may act by controlling the association of XIST to the chro-
mosome in cis, possibly to antagonize or temper its silencing
ability. Alternatively, XACT could directly participate in the
compensatory mechanism occurring at these early stages (Pet-
ropoulos et al., 2016), by controlling X chromosome transcrip-
tional outcome. In both cases, this raises the hypothesis that
XACT function might be linked to the lack of tight control of
XIST expression in early human development. In this scenario,
XACT might have evolved to prevent X chromosome silencing
and functional nullisomy and to permit an alternative strategy
of dosage compensation at these critical developmental stages.

EXPERIMENTAL PROCEDURES

Comprehensive Analysis of Single-Cell RNA-Seq Datasets

We gathered single-cell RNA-seq samples from four independent studies on human embryos (Blakeley et al., 2015; Petropoulos et al., 2016; Xue et al., 2013; Yan et al., 2013). We merged together the samples from the three studies (dataset 1 [Yan et al., 2013; Xue et al., 2013; Blakeley et al., 2015], n = 146) where embryos had been classified according their developmental stage, whereas in the last study (dataset 2 [Petropoulos et al., 2016], n = 1,529) embryos were classified according to their last day of in vitro culture.

Assessment of XCI in RNA-Seq Samples

We used the normalized number of bi-allelic positions on the X chromosome in the RNA-seq datasets as a marker of the activity of the two X chromosomes in female cells. A different number of bi-allelic positions between two conditions is indicative of a change in the transcription balance of two X chromosomes. We also repeated the analysis performed by Petropoulos et al. (2016) to compare with our results.

(D) Boxplot representing the distribution of the volume of the XACT RNA-FISH signal in naive H9 and in transgenic mESC clones. Wilcoxon rank test was used to compare the volume of XACT signals.

(E) LNA Gapmer-mediated XACT KD. Upper panel: timeline indicating the KD strategy during differentiation of the T9 transgenic clone is shown. Three rounds of LNA transfection were performed: one 2 days before the induction of differentiation (d-2), one concomitantly with the launching of differentiation (d0), and the last at day 2 (d2) of differentiation. Lower panel: boxplot representing the distribution of the volume of the XACT RNA-FISH signal in cells transfected with either scramble or XACT LNA, both at d0 and d2 of differentiation, is shown. Wilcoxon rank test was used to compare the volume of XACT signals between KD and control cells. Representative XACT RNA-FISH images corresponding the median volume for LNA scramble and LNA XACT are shown, with the XACT volume delimited by the dotted white line.

(F) Assessment of the chromosome of origin for *Xist* expression related to *XACT* integration at day 4 of differentiation of cells transfected with either scramble or *XACT* LNA, using RNA-FISH for *Xist* (in green) and DNA-FISH for *XACT* (in red). Barplot on the right panel shows the quantification of the respective expression patterns for three independent KD experiments, the error bars corresponding to the SD. Patterns were compared independently for each experiment using a Fisher's exact test; the p value was always below 10⁻⁴. The white scale bars in RNA-FISH images represent 5 µm and 10 µm for metaphases.
## Collection of Human Embryos and RNA-FISH

French Biomedecine Agency authorization was obtained for the experimental use of supernumerary cryopreserved embryos resulting from infertility treatment and donated for research (RE 10-032R/RE 12-012R). Written consents were obtained from the couples that their cryopreserved embryos could be used for the research. Human cryopreserved embryos were obtained at Bichat Hospital (Assistance Publique - Hôpitaux de Paris) after in vitro fertilization (IVF) and intra-cytoplasmic sperm injection (ICSI). Day 2-3 cryopreserved embryos were thawed (Embryo Thawing Pack, Origio) and were individually placed in fresh and equilibrated 30 µl culture medium (ISM1 culture medium from day 2 to day 3 and Blastassist from day 3 and on, Origio) at 37°C, 5% CO₂, under oil and humidified atmosphere. Embryos were cultivated until day 4 (morula) or day 5 and 6 (blastocyst stage). Blastocysts were evaluated using a Leica AM 6000 B inversed microscope at ×400 by an experienced embryologist. An embryo was included in this study only if the embryologist agreed on viability. Blastocysts were classified according to Gardner's classification (Gardner et al., 2000), taking into account the global morphology and inner cell mass and TE aspect from mid-blastocyst. RNA-FISH was carried out as described previously (Okamoto et al., 2011) (see the Supplemental Experimental Procedures).

## SUPPLEMENTAL INFORMATION

Supplemental Information includes Supplemental Experimental Procedures and four figures and can be found with this article online at http://dx.doi.org/10.1016/j.stem.2016.10.014.

## AUTHOR CONTRIBUTIONS

C.V. and C.R. conceived the project and planned experiments. C.V., C.H., M.C., and M.T. performed the experiments. C.P., N.F., and E.H. provided and contributed to the analysis of human embryos. A.J.C. and P.J.R.-G. provided and performed experiments on naive hESCs. T.M.L.A. and C.V. performed bioinformatic analyses. C.V. and C.R. wrote the manuscript. C.P., A.J.C., and C.H. contributed equally to this work. All authors commented on and revised the manuscript.

## ACKNOWLEDGMENTS

We thank S. Polo and S. Ait Si Ali for critical reading of the manuscript. We thank P. Tuffery, J. Bécot, the "Initiatives d'excellence" Université Sorbonne Paris Cité (USPC) (ANR-11-IDEX-0005-02), and the LabEx "Who Am I" (ANR-11-LABX-0071) for computational support. We thank S. Abelanet at the ImagoSeine Institut Jacques Monod Imaging platform (Université Paris 7) for valuable advice and technical assistance on the use of the SP5 Leica microscope. We also thank L. Delaroche, J.-P. Wolf, M.-A. Llabador-de Royer, M. Lemoine, and A. Benammar for support on human embryo experiments. The research leading to these results has received funding from the European Research Council under the EpiGeneSys FP7 257082 Network of Excellence (to C.R., E.H., and P.J.R.-G.), from the Agence Nationale pour la Recherche (ANR-11-LABX-0071, to C.R. and E.H.), from the Ligue Nationale contre le Cancer (to C.R.), and from the DIM Biotherapies (to E.H. and C.P.). T.M.L.A. is supported by a fellowship from the INCa/INSERM Plan cancer (EPIG201414). P.J.R.-G. is supported by the Wellcome Trust (WT093736) and the Biotechnology and Biological Sciences Research Council (BBSRC) (BBS/E/B/000C0402).

Received: July 1, 2016

Revised: September 23, 2016

Accepted: October 19, 2016

Published: December 15, 2016

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