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Mapping human pluripotent stem cell differentiation pathways via high throughput single-cell RNA-sequencing

ABSTRACT: Human pluripotent stem cells (hPSCs) provide both powerful models for studying cellular differentiations, and unlimited sources of cells for regenerative medicine. However, a comprehensive single cell level differentiation roadmap for hPSCs has not been achieved yet. Here, we used high throughput single-cell RNA-sequencing (scRNA-seq) method, based on optimized microfluidic circuits, to profile early differentiation lineages in the human embryoid body (EB) system. We presented a cellular landscape for hPSC early differentiations covering different cellular lineages, including neural cell, muscle cell, endothelial cell, stromal cell, liver cell, and epithelial cell. Through pseudotemporal analysis, we constructed the differentiation trajectories of these progenitor cells and revealed the gene expression dynamics in the process of differentiation. We reset Primed H9 into Naïve-like H9 and studied cell state transition process via scRNA-seq. We found that mesendoderm genes are enriched in Naïve-like H9. Functionally, Naïve-like H9 showed better potency for differentiation into the hematopoietic lineages. We constructed the differentiation landscape of hPSC early differentiation by scRNA-seq analysis. We offer new insights into molecular pathways of early embryonic lineages that can be harnessed for optimization of differentiation protocols. (Pipeline for C1 data demultiplex : https://github.com/bioeauty/sccpipe)

ORGANISM(S): Homo sapiens

PROVIDER: GSE107552 | GEO | 2018/03/06

REPOSITORIES: GEO

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Project description:Generating primordial germ cells (PGCs) from human pluripotent stem cells (hPSCs) advances studies of human reproduction and development of infertility treatments, but currently entails complex 3D aggregates. Here we develop a simplified, monolayer method to differentiate hPSCs into PGCs within 3.5 days, with higher efficiencies and improved consistency across multiple hPSC lines. We used our simplified differentiation platform, bulk RNA-seq and single-cell RNA-sequencing to uncover new insights into PGC specification. Transient WNT activation for 12 hours followed by WNT inhibition specified PGCs; by contrast, sustained WNT instead induced primitive streak. Thus, somatic (primitive streak) and PGCs are related—yet distinct—lineages segregated by temporally-dynamic signaling. Pluripotency factors are continuously expressed during the transition from pluripotency to posterior epiblast to PGCs, thus bridging pluripotent and germline states. Finally, hPSC-derived PGCs can be easily purified by virtue of their CXCR4+PDGFRA-GARP- surface-marker profile and single-cell RNA-sequencing reveals that they harbor strong transcriptional similarities with fetal PGCs. We report single-cell RNA-sequencing data of in vitro differentiated hPSCs (H9) cells into human Primordial germ cell-like cells (PGCLCs), profiled at different time-points of differentiation - Day 0 (H9), D0.5, D3.5 (sorted) and D3.5 unsorted population and a negative control of hPSCs differentiated into definitive endoderm (DE) (using the protocol described in (Loh et al., 2014, Cell Stem Cell 14, 237-252)). The data comprises of 5 single-cell RNA-sequencing libraries (H9, D0.5, D3.5S, D3.5U and DE) generated using 10xChromium Single cell RNA-expression platform and 10xGenomics Chromium version 2 chemistry with a targeted capture of ~6000 cells each. Single cell libraries were sequenced on Illumina HiSeq4000 platform as paired-end 150bp reads. Bulk RNA seq libraries were sequnced as paired-end reads.

Project description:In naïve human pluripotent stem cells (hPSCs) that represent the pre-implantation embryonic states, epigenetic regulators for cell identity remain poorly defined. One of the major remaining questions in naïve stem cell biology is how female cells mediate and regulate X chromosome inactivation (XCI). Recent studies incorporating single-cell RNA sequencing (scRNA-seq) have demonstrated that transcript-based technologies are insufficient to unequivocally resolve XCI regulation in a human system. Instead, 3D genomics shows immense promise for studying XCI by interrogating changes to the X chromosomes’ 3D states. Here, we sought to characterize the 3D state of the X chromosome in naïve and primed hPSCs. Using chromatin tracing, we analyzed the folding conformations of whole X chromosomes with megabase genomic resolution in multiple naïve and primed hPSC lines. Our data found that X chromosomes in female naive hPSCs exhibit a range of spatial folding conformations similar to the active X chromosome (Xa) and the inactive X chromosome (Xi) in somatic cells; these data suggest that naïve hPSCs have initiated XCI. As XCI process ultimately generates detectable differences in volume between the Xa and the Xi, we measured the radius of gyration of individual X chromosome copies across various hPSC cell lines and culture conditions. In naïve hPSCs, our results show that the X chromosomes with Xi-like conformations are not more compact than those with Xa-like conformation. This finding is directly counter to the Xi compaction typically observed in post-XCI female somatic cells. These contradictory 3D signatures of XCI suggest that female naïve hPSCs have initiated the XCI process, but are poised before XCI-driven silencing in a metastable state. As observed in H7 naïve hPSCs, this metastable state can be abolished through classically noted means, such as the loss of Xp chromatin, leading to the deleted p X chromosome (dXp). The Xp loss observed here seems to drive XIST expression and accumulation around the dXp chromosome. Overall, our findings provide insight into the previously undefined X chromosome status in naïve hPSCs in single chromosome resolution, and are critical in understanding the unique epigenetic regulation in early embryonic cells.

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Mapping human pluripotent stem cell differentiation pathways via high throughput single-cell RNA-sequencing

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