Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst.

By Guoji Guo, M. Huss, G. Tong, Chaoyang Wang, Li Li Sun, Neil D. Clarke, Paul Robson. Developmental Cell, 2010

857 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0fd72f5f3c1c2aa6e4451ea83a2fd3f7b622c38b

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Citations in the corpus

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (2015, methodology): “4b ), and this set was enriched for positive cell proliferation and negative regulation of apoptosis ( Supplementary Tables 8 and 9 ).”
Single-cell dissection of transcriptional heterogeneity in human colon tumors (2011, methodology): “Microfluidic platforms have been previously validated for single-cell gene-expression analysi”
Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. (2011, positive): “In agreement with published reports based on single-cell Q-PCR (Bengtsson et al. 2005), Actb mRNA abundance showed an approximately log-normal distribution across cells (Supplemental Fig.”
Mapping the Mouse Cell Atlas by Microwell-Seq. (2018, positive): “Emerging methods, such as high-throughput single-cell qPCR (Dalerba et al., 2011; Guo et al., 2010; Han et al., 2017), single-cell mass cytometry (Bendall et al., 2011), and singlecell mRNA-seq (Hashimshony et al., 2012; Ramsköld et al., 2012; Shalek et al., 2013; Tang et al., 2009; Treutlein et…”
Single-cell expression analyses during cellular reprogramming reveal an early stochastic and a late hierarchic phase. (2012, methodology): “…previously to studies in the mouse intestine (Itzkovitz et al., 2012), human colon tumors (Dalerba et al., 2011), the mouse zygote and blastocyst (Guo et al., 2010; Tang et al., 2010), and human iPSCs (Narsinh et al., 2011), such an approach has not been used to define the cell states and…”
Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (2015, neutral): “Previous studies have indicated that ES cells are heterogeneous in gene expression (Guo et al. 2010; Hayashi et al. 2008; MacArthur et al. 2012; Martinez Arias and Brickman, 2011; Ohnishi et al. 2014; Singer et al. 2014; Torres-Padilla and Chambers, 2014; Yan et al. 2013).”
Identification of cell types from single-cell transcriptomes using a novel clustering method (2015, background): “However, the high variability in gene expression levels even between cells of the same type (Buganim et al. , 2012; Guo et al. , 2010; Hashimshony et al. , 2012; Shalek et al. , 2013) can confound this seemly straightforward clustering approach.”
Exponential scaling of single-cell RNA-seq in the past decade (2017, background): “A shift in the field came when Guo et al demonstrated that distinct cell types could be identified without pre-sorting by performing RT-qPCR of 48 genes in parallel on more than 500 cells (Guo et al., 2010), demonstrating the utility of measuring larger numbers of cells.”