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Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm
Open accessAbstract
BACKGROUND: Human pluripotent stem cells offer the best available model to study the underlying cellular and molecular mechanisms of human embryonic lineage specification. However, it is not fully understood how individual stem cells exit the pluripotent state and transition towards their respective progenitor states. RESULTS: Here, we analyze the transcriptomes of human embryonic stem cell-derived lineage-specific progenitors by single-cell RNA-sequencing (scRNA-seq). We identify a definitive endoderm (DE) transcriptomic signature that leads us to pinpoint a critical time window when DE differentiation is enhanced by hypoxia. The molecular mechanisms governing the emergence of DE are further examined by time course scRNA-seq experiments, employing two new statistical tools to identify stage-specific genes over time (SCPattern) and to reconstruct the differentiation trajectory from the pluripotent state through mesendoderm to DE (Wave-Crest). Importantly, presumptive DE cells can be detected during the transitory phase from Brachyury (T) (+) mesendoderm toward a CXCR4 (+) DE state. Novel regulators are identified within this time window and are functionally validated on a screening platform with a T-2A-EGFP knock-in reporter engineered by CRISPR/Cas9. Through loss-of-function and gain-of-function experiments, we demonstrate that KLF8 plays a pivotal role modulating mesendoderm to DE differentiation. CONCLUSIONS: We report the analysis of 1776 cells by scRNA-seq covering distinct human embryonic stem cell-derived progenitor states. By reconstructing a differentiation trajectory at single-cell resolution, novel regulators of the mesendoderm transition to DE are elucidated and validated. Our strategy of combining single-cell analysis and genetic approaches can be applied to uncover novel regulators governing cell fate decisions in a variety of systems.
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In the citing paper
“A powerful, nonlinear alternative5,105–107 is t-distributed stochastic neighbor embedding108 (t-SNE; introduced for single-cell analysis as viSNE105), especially when computed with an efficient approximation109 compatible with the scale of large genomic data sets110.”
From Revealing the vectors of cellular identity with single-cell genomics (2016) · cites this paper as [108]
Experimental — accuracy not yet measuredIn the citing paper
“In leukemic bone marrow105, t-SNE108 embedding of mass cytometry profiles showed that while some markers were expressed in distinct clusters, others formed a continuous gradient.”
From Revealing the vectors of cellular identity with single-cell genomics (2016) · cites this paper as [108]
In the citing paper
“For example, it is standard to visualize the first principal components of the data, yet in single-cell data, unlike many other data types, those capture only a minute fraction of the variation in the data (note that t-SNE108 too often considers only top principal components in high-dimensional data).”
From Revealing the vectors of cellular identity with single-cell genomics (2016) · cites this paper as [108]
In the citing paper
“This ordering allowed the discovery of novel candidate regulators; for example, a driver of definitive endoderm differentiation (KLF8) was identified and validated by testing for changes in the fraction of differentiated cells post‐KLF8 knockdown.”
From Using single-cell genomics to understand developmental processes and cell fate decisions (2018) · cites this paper as Chu et al, 2016
In the citing paper
“In this study, cells were ordered along the developmental pathway, successfully reconstructing the behaviour of known markers.”
From Using single-cell genomics to understand developmental processes and cell fate decisions (2018) · cites this paper as Chu et al, 2016
In the citing paper
“However, in some datasets, such as that for in vitro differentiation of hESCs into the gastrulation layers (27), the number of expressed genes per cell exhibited considerable intra-phenotypic variation (Fig. 2A, left).”
From Single-cell transcriptional diversity is a hallmark of developmental potential (2020) · cites this paper as [27]
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Cites
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ResultHighly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling
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Self-citationNew cell lines from mouse epiblast share defining features with human embryonic stem cells
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“However, given that mouse and human ES cells are maintained by distinct signaling pathways [58, 59], it was not entirely clear if the hypoxiaenhanced DE differentiation may or may not directly translate to human ES system.”
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Oxygen in Stem Cell Biology: A Critical Component of the Stem Cell Niche
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BackgroundA Method for Solving Traveling-Salesman Problems
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“To begin investigating lineage-specific transcriptomic features at single-cell resolution, we performed a cohort of scRNA-seq experiments profiling snapshots of lineagespecific progenitor cells differentiated from H1 human ES cells using our established differentiation protocols, all adapted to chemically-defined cult…”
MethodSelf-citationHuman cardiovascular progenitor cells develop from a KDR+ embryonic-stem-cell-derived population
Yang, L., Soonpaa, M. H., Adler, E. D., Roepke, T. K., Kattman, S. J., Kennedy, M., Henckaerts, E., Bonham, K., Abbott, G. W., Linden, R. M., et al. (2008) · Nature · doi:10.1038/nature06894 · Cited by 1,389
Bayesian approach to single-cell differential expression analysis
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“However, such assumptions are often violated in scRNA-seq data due to the present of sub-populations and technical dropouts [50, 51].”
BackgroundEBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
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Self-citationQuantitative single-cell RNA-seq with unique molecular identifiers
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Computational and analytical challenges in single-cell transcriptomics
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“It has been previously shown that lowering oxygen tension can reduce oxidative stress, shifting metabolic fueling pathways from oxidative phosphorylation to glycolysis to aid in maintaining pluripotency and reprogramming [39, 40].”
BackgroundSingle-cell RNA-seq reveals dynamic paracrine control of cellular variation
Shalek, A. K., Satija, R., Shuga, J., Trombetta, J. J., Gennert, D., Lu, D., Chen, P., Gertner, R. S., Gaublomme, J. T., Yosef, N., et al. (2014) · Nature · doi:10.1038/nature13437 · Cited by 1,000
Accounting for technical noise in single-cell RNA-seq experiments
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Basic FGF and suppression of BMP signaling sustain undifferentiated proliferation of human ES cells
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Self-citationCharacterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
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Development of definitive endoderm from embryonic stem cells in culture
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BackgroundDefining cell types and states with single-cell genomics
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Vertebrate Endoderm Development and Organ Formation
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Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis
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Epigenomic Analysis of Multilineage Differentiation of Human Embryonic Stem Cells
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“To begin investigating lineage-specific transcriptomic features at single-cell resolution, we performed a cohort of scRNA-seq experiments profiling snapshots of lineagespecific progenitor cells differentiated from H1 human ES cells using our established differentiation protocols, all adapted to chemically-defined cult…”
MethodSelf-citationEfficient genome engineering in human pluripotent stem cells using Cas9 from Neisseria meningitidis
Hou, Z., Zhang, Y., Propson, N. E., Howden, S. E., Chu, L.-F., Sontheimer, E. J., & Thomson, J. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313587110 · Cited by 681 · cited 1×
“CRISPR/Cas9 mediated gene targeting experiments were performed as previously described [55].”
MethodSelf-citationMissing data and technical variability in single-cell RNA-sequencing experiments
Hicks, S. C., Townes, F. W., Teng, M., & Irizarry, R. A. (2018) · Biostatistics · doi:10.1093/biostatistics/kxx053 · Cited by 635
Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments
Hicks, S. C., Townes, F. W., Teng, M., & Irizarry, R. A. (2015) · doi:10.1101/025528 · Cited by 625 · cited 1×
“Previous publications showed that directly performing PCA on single-cell data may capture unwanted noise [80].”
BackgroundGene function in mouse embryogenesis: get set for gastrulation
Tam, P., & Loebel, D. A. F. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2084 · Cited by 615 · cited 2×
“Its emergence is accompanied by the activation of the transcription factor Brachyury (T), which marks the onset of gastrulation [2, 11, 20].”
BackgroundMethodThe Cell-Cycle State of Stem Cells Determines Cell Fate Propensity
Pauklin, S., & Vallier, L. (2013) · Cell · doi:10.1016/j.cell.2013.08.031 · Cited by 611
Embryonic Expression and Function of the Chemokine SDF-1 and Its Receptor, CXCR4
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BackgroundDesign and computational analysis of single-cell RNA-sequencing experiments
Bacher, R. L., & Kendziorski, C. M. (2016) · Genome biology · doi:10.1186/s13059-016-0927-y · Cited by 460 · cited 1×
“However, such assumptions are often violated in scRNA-seq data due to the present of sub-populations and technical dropouts [50, 51].”
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“This result is consistent with the notion that mesoderm and DE cells may arise from a common progenitor pool during development and differentiation [20, 36, 37].”
ResultNKX2-5eGFP/w hESCs for isolation of human cardiac progenitors and cardiomyocytes
Elliott, D. A., Braam, S. R., Koutsis, K., Ng, E. S., Jenny, R., Lagerqvist, E. L., Biben, C., Hatzistavrou, T., Hirst, C. E., Yu, Q. C., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1740 · Cited by 426
BMP-4 is required for hepatic specification of mouse embryonic stem cell–derived definitive endoderm
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“Therefore, human pluripotent stem cell-derived DE cells are an instrumental resource for regenerative medicine [7, 9, 10, 15, 18, 19].”
BackgroundLoh, K. M., Ang, L. T., Zhang, J., Kumar, V., Ang, J., Auyeong, J. Q., Lee, K. L., Choo, S. H., Lim, C. Y. Y., Nichane, M., et al. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2013.12.007 · Cited by 418 · cited 1×
“Therefore, human pluripotent stem cell-derived DE cells are an instrumental resource for regenerative medicine [7, 9, 10, 15, 18, 19].”
Self-citationGeneration of anterior foregut endoderm from human embryonic and induced pluripotent stem cells
Green, M. D., Chen, A. F., Nostro, M. C., D’Souza, S. L., Schaniel, C., Lemischka, I. R., Gouon–Evans, V., Keller, G. M., & Snoeck, H. W. (2011) · Nature Biotechnology · doi:10.1038/nbt.1788 · Cited by 393 · cited 3×
“5) mouse embryo [41]; and (2) human ESderived CXCR4 cells have been shown to display hallmarks of DE [7, 15, 42].”
BackgroundMoignard, V., Woodhouse, S., Haghverdi, L., Lilly, A. J., Tanaka, Y., Wilkinson, A. C., Buettner, F., Macaulay, I. C., Jawaid, W., Diamanti, E., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3154 · Cited by 380
Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
Fan, J., Salathia, N. S., Liu, R., Kaeser, G. E., Yung, Y. C., Herman, J. L., Kaper, F., Fan, J., Zhang, K., Chun, J. J. M., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3734 · Cited by 376
Sumi, T., Tsuneyoshi, N., Nakatsuji, N., & Suemori, H. (2008) · Development · doi:10.1242/dev.021121 · Cited by 333 · cited 3×
“Its emergence is accompanied by the activation of the transcription factor Brachyury (T), which marks the onset of gastrulation [2, 11, 20].”
BackgroundHuman pluripotent stem cell-derived neural constructs for predicting neural toxicity
Schwartz, M. P., Hou, Z., Propson, N. E., Zhang, J., Engstrom, C. J., Costa, V. S., Jiang, P., Nguyen, B. K., Bolin, J. M., Daly, W., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516645112 · Cited by 325 · cited 4×
“To begin investigating lineage-specific transcriptomic features at single-cell resolution, we performed a cohort of scRNA-seq experiments profiling snapshots of lineagespecific progenitor cells differentiated from H1 human ES cells using our established differentiation protocols, all adapted to chemically-defined cult…”
MethodInfluentialSelf-citationYu, P., Pan, G., Yu, J., & Thomson, J. A. (2011) · Cell stem cell · doi:10.1016/j.stem.2011.01.001 · Cited by 249 · cited 4×
“Its emergence is accompanied by the activation of the transcription factor Brachyury (T), which marks the onset of gastrulation [2, 11, 20].”
BackgroundMethodResultInfluentialSelf-citationRandom-set methods identify distinct aspects of the enrichment signal in gene-set analysis
Newton, M. A., Quintana, F. A., den Boon, J. A., Sengupta, S., & Ahlquist, P. (2007) · The Annals of Applied Statistics · doi:10.1214/07-aoas104 · Cited by 237 · cited 13×
“A graphical user interface implementation of Wave-Crest is also available; details may be found in Additional file 1: Supplementary Methods and Figure S10.”
MethodInfluentialRandom-set methods identify distinct aspects of the enrichment signal in gene-set analysis
Newton, M. A., Quintana, O. A., den Boon, J. A., Sengupta, S., & Ahlquist, P. (2016) · Cited by 230
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“In order to directly test the candidate genes identified from scRNA-seq analysis, we generated the first T-knockin reporter human ES cell line that faithfully reflects the endogenous T protein expression level, rather than at the transcriptional level [69, 70].”
MethodInferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data
Kim, J. K., & Marioni, J. C. (2013) · Genome biology · doi:10.1186/gb-2013-14-1-r7 · Cited by 216
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Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments
Leng, N., Chu, L., Barry, C., Li, Y., Choi, J., Li, X., Jiang, P., Stewart, R. M., Thomson, J. A., & Kendziorski, C. M. (2015) · Nature Methods · doi:10.1038/nmeth.3549 · Cited by 171 · cited 2×
“One possible factor is the cell cycle, which is unsynchronized across the population of cells [25] either at the initiation of differentiation and/or when single cells were collected for RNA-seq.”
BackgroundMethodSelf-citationNANOG and CDX2 Pattern Distinct Subtypes of Human Mesoderm during Exit from Pluripotency
Mendjan, S., Mascetti, V. L., Ortmann, D., Ortiz, M., Karjosukarso, D. W., Ng, Y., Moreau, T., & Pedersen, R. A. (2014) · Cell stem cell · doi:10.1016/j.stem.2014.06.006 · Cited by 171 · cited 1×
“In order to directly test the candidate genes identified from scRNA-seq analysis, we generated the first T-knockin reporter human ES cell line that faithfully reflects the endogenous T protein expression level, rather than at the transcriptional level [69, 70].”
MethodDefinitive endoderm of the mouse embryo: Formation, cell fates, and morphogenetic function
Lewis, S. L., & Tam, P. P. L. (2006) · Developmental Dynamics · doi:10.1002/dvdy.20846 · Cited by 164 · cited 1×
“When applied WaveCrest to the scRNA-seq DE differentiation time course data, we selected the genes of interest by combining empirical results from SCPattern and prior knowledge [1, 2, 5, 7, 9, 20].”
MethodLengthened G1 Phase Indicates Differentiation Status in Human Embryonic Stem Cells
Calder, A. N., Roth-Albin, I., Bhatia, S., Pilquil, C., Lee, J., Bhatia, M., Levadoux‐Martin, M., McNicol, J. D., Russell, J., Collins, T., et al. (2012) · Stem Cells and Development · doi:10.1089/scd.2012.0168 · Cited by 160
Wang, P.-R., Rodriguez, R. T., Wang, J., Ghodasara, A., & Kim, S. K. (2011) · Cell Stem Cell · doi:10.1016/j.stem.2011.01.017 · Cited by 154 · cited 2×
“These results also suggest that the presumptive DE transcriptional program begins between 24 and 36 h, which is surprisingly early considering most established human pluripotent stem cell protocols typically consider DE cells to emerge around days 4 or 5 of differentiation [7, 11, 15, 42, 52].”
BackgroundFaial, T., Bernardo, A. S., Mendjan, S., Diamanti, E., Ortmann, D., Gentsch, G. E., Mascetti, V. L., Trotter, M. W. B., Smith, J. C., & Pedersen, R. A. (2015) · Development · doi:10.1242/dev.117838 · Cited by 149 · cited 1×
“Once the lineage decision is segregated, T expression appears to be continually associated with certain mesodermal derivatives but not DE derivatives [11, 21, 22].”
BackgroundTiming of developmental events in the early mouse embryo
Kojima, Y., Tam, O. H., & Tam, P. (2014) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2014.06.010 · Cited by 144
KLF8 transcription factor participates in oncogenic transformation
Wang, X., & Zhao, J. (2006) · Oncogene · doi:10.1038/sj.onc.1209796 · Cited by 106
Cell-Cycle Control of Bivalent Epigenetic Domains Regulates the Exit from Pluripotency
Singh, A. M., Sun, Y., Li, L., Zhang, W., Wu, T., Zhao, S., Qin, Z. S., & Dalton, S. (2015) · Stem Cell Reports · doi:10.1016/j.stemcr.2015.07.005 · Cited by 92
Phenotypic annotation of the mouse X chromosomePreprint
Cox, B., Vollmer, M., Tamplin, O. J., Lu, M., Biechele, S., Gertsenstein, M., Campenhout, C. V., Floß, T., Kühn, R., Wurst, W., et al. (2010) · Genome Research · doi:10.1101/gr.105106.110 · Cited by 85
Wong, A. P., Chin, S., Xia, S., Garner, J., Bear, C. E., & Rossant, J. (2015) · Nature Protocols · doi:10.1038/nprot.2015.021 · Cited by 84 · cited 2×
“5) mouse embryo [41]; and (2) human ESderived CXCR4 cells have been shown to display hallmarks of DE [7, 15, 42].”
BackgroundError estimates for the analysis of differential expression from RNA-seq count data
Burden, C. J., Qureshi, S. E., & Wilson, S. R. (2014) · PeerJ · doi:10.7717/peerj.576 · Cited by 65 · cited 1×
“In general, for a given gene, the bulk RNA-seq methods usually assume expression values within a biological condition follow a unimodal distribution such as negative binomial distribution [44–48] or Poisson distribution [49].”
BackgroundThe contribution of cell cycle to heterogeneity in single-cell RNA-seq data
McDavid, A., Finak, G., & Gottardo, R. (2016) · Nature Biotechnology · doi:10.1038/nbt.3498 · Cited by 57
Yan, Q., Zhang, W., Yao, W., Wu, M., Zhang, M., Shi, X., Zhao, J., Nan, Q.-Z., Chen, Y., Wang, L., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.4517 · Cited by 53
Pimton, P., Lecht, S., Stabler, C. T., Johannes, G. J., Schulman, E. S., & Lelkes, P. I. (2014) · Stem Cells and Development · doi:10.1089/scd.2014.0343 · Cited by 51 · cited 2×
“Interestingly, only one recent report thus far described a positive effect of hypoxia on differentiating mouse ES cells to DE [43].”
BackgroundResultBlimp1 Expression Predicts Embryonic Stem Cell Development In Vitro
Chu, L., Surani, M. A., Jaenisch, R., & Zwaka, T. P. (2011) · Current Biology · doi:10.1016/j.cub.2011.09.010 · Cited by 45 · cited 1×
“All procedures were performed as described previously [76].”
MethodSelf-citationWang, P.-R., McKnight, K. D., Wong, D. J., Rodriguez, R. T., Sugiyama, T., Gu, X.-Y., Ghodasara, A., Qu, K., Chang, H. Y., & Kim, S. K. (2012) · Stem Cells and Development · doi:10.1089/scd.2011.0416 · Cited by 45 · cited 1×
“Key DE markers continue to be expressed at high levels among single cells at the 96-h time point, including EOMES, CER1, GATA4, PRDM1, and POU2AF1, indicating that cells progressed toward the DE state [52, 53] (Fig.”
BackgroundAn Expandable, Inducible Hemangioblast State Regulated by Fibroblast Growth Factor
Vereide, D. T., Vickerman, V., Swanson, S. A., Chu, L., McIntosh, B. E., & Thomson, J. A. (2014) · Stem Cell Reports · doi:10.1016/j.stemcr.2014.10.003 · Cited by 20 · cited 2×
“cloned into a PiggyBac Gateway Destination vector using Gateway LR clonase (Life Technologies), placing KLF8 downstream of a DOX-inducible promoter (pB-TetOKLF8) as previously reported [57].”
MethodSelf-citationOEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data
Leng, N., Choi, J., Chu, L., Thomson, J. A., Kendziorski, C. M., & Stewart, R. M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw004 · Cited by 15 · cited 3×
“The OE genes were detected using OEFinder [79].”
MethodInfluentialSelf-citationLeng, N., Chu, L., Choi, J., Kendziorski, C. M., Thomson, J. A., & Stewart, R. M. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/046110 · Cited by 3 · cited 20×
“First, SCPattern [29] is used to identify stage-specific genes over time; and second, Wave-Crest is used to reconstruct the differentiation trajectory from the pluripotent state through mesendoderm to DE. Based on this highresolution temporal reconstruction, we detected presumptive DE cells characterized with CXCR4 an…”
MethodInfluentialSelf-citation
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Saelens, W., Cannoodt, R., Todorov, H., & Saeys, Y. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0071-9 · Cited by 1,670
Single-cell transcriptional diversity is a hallmark of developmental potential
Gulati, G. S., Sikandar, S. S., Wesche, D. J., Manjunath, A., Bharadwaj, A., Berger, M. J., Ilagan, F., Kuo, A. H., Hsieh, R. W., Cai, S., et al. (2020) · Science · doi:10.1126/science.aax0249 · Cited by 1,571
Single-cell RNA-seq denoising using a deep count autoencoder
Eraslan, G., Simon, L. M., Mircea, M., Mueller, N. S., & Theis, F. J. (2019) · Nature Communications · doi:10.1038/s41467-018-07931-2 · Cited by 1,084
Construction of a human cell landscape at single-cell level
Han, X., Zhou, Z., Fei, L., Sun, H., Wang, R., Chen, Y., Chen, H., Wang, J., Tang, H., Ge, W., et al. (2020) · Nature · doi:10.1038/s41586-020-2157-4 · Cited by 1,087
Self-citationBenchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
Pratapa, A., Jalihal, A. P., Law, J. N., Bharadwaj, A., & Murali, T. M. (2020) · Nature Methods · doi:10.1038/s41592-019-0690-6 · Cited by 792
Metadata
- Authors
- Chu, L.-F., Leng, N., Zhang, J., Hou, Z., Mamott, D., Vereide, D. T., Choi, J., Kendziorski, C., Stewart, R., & Thomson, J. A.
- Affiliations
- Morgridge Institute for Research (US)
- Genentech (US)
- Harvard University (US)
- University of Wisconsin–Madison (US)
- Corresponding author
- Chu, Li-Fang
- Thomson, James A.
- ORCID
- Venue
- Genome Biology
- Published
- 2016-08-17
- Volume
- 17
- Issue
- 1
- Pages
- 173-173
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC4989499
- OpenAlex
- W2511896561
- Cited by
- 477
- References
- 83
- Citations by year
- 2026: 41 · 2025: 52 · 2024: 71 · 2023: 48 · 2022: 61 · 2021: 66 · 2020: 49 · 2019: 39 · 2018: 21 · 2017: 22 · 2016: 5
- FWCI
- 15.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (4UH3TR000506-03, 5U01HL099773-06, GM102756, U54 AI117924)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- definitive endoderm differentiation, human embryonic stem cells, mesendoderm, lineage specification, hypoxia, KLF8, Brachyury, CXCR4, cell fate determination, pluripotency exit
- MeSH terms
- Human Embryonic Stem Cells, Cell Differentiation, Endoderm, Humans, RNA, Gene Expression Regulation, Developmental, Cell Culture Techniques, Hepatocytes, Pluripotent Stem Cells, Single-Cell Analysis, High-Throughput Nucleotide Sequencing
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