Posts Tagged ‘singlecell’
Single-cell genomics of autism
May 18, 2019Human Cell Atlas Method Development Community timeline
April 6, 2019UMAPs
March 2, 2019A lineage-resolved molecular atlas of C elegans embryogenesis at #singlecell resolution, w/ @JIsaacMurray, @JunhyongKim, @ColeTrapnell & B Waterston https://www.BiorXiv.org/content/10.1101/565549v1 Compares the known cell lineage of the worm to trees based on UMAP cell-type clusters. Remarkable agreement
A single-cell molecular map of mouse gastrulation and early organogenesis | Nature
February 28, 2019The single-cell transcriptional landscape of mammalian organogenesis
February 28, 2019Using single-cell combinatorial indexing, we profiled the
transcriptomes of around 2 million cells derived from 61 embryos staged between 9.5 and 13.5 days of gestation, in a single experiment.
Everyday Scientist ยป deconvoluting deconvolving
January 13, 2018A survey of human brain transcriptome diversity at the single cell level
June 27, 2017Brain #transcriptome diversity at the single cell level
http://www.PNAS.org/content/112/23/7285 Has useful gene-exp. profiles of specific neural cell types
has profiles for 185 biomarker genes for 6 cell types
Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors : Nature Genetics : Nature Research
May 6, 2017http://www.nature.com/ng/journal/v49/n5/full/ng.3818.html
Ref component analysis..of transcriptomes, by @Robson_Paul &co http://www.Nature.com/ng/journal/v49/n5/full/ng.3818.html Clustering similarity of samples to tissue references
Aging increases cell-to-cell transcriptional variability upon immune stimulation | Science
April 21, 2017#Aging increases cell-to-cell transcriptional variability upon immune stimulation, but just for 225 up-reg. genes http://science.ScienceMag.org/content/355/6332/1433
Single-Cell Co-expression Analysis Reveals Distinct Functional Modules, Co-regulation Mechanisms and Clinical Outcomes
July 2, 2016#SingleCell Coexpression…Reveals Distinct Func. Modules [v clustering bulk RNAseq]… & Clinical Outcomes [in GBM]
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004892
QT:{{”
We found that the co-expressed genes observed in single cells and bulk tumors have little overlap and show distinct characteristics. The co-expressed genes identified in bulk tumors tend to have similar biological functions, and are enriched for intrachromosomal
interactions with synchronized promoter activity. In contrast, single-cell co-expressed genes are enriched for known protein-protein interactions, and are regulated through interchromosomal interactions. “}}
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