Posts Tagged ‘singlecell’

Human Cell Atlas Method Development Community timeline

April 6, 2019

https://www.protocols.io/groups/hca

UMAPs

March 2, 2019

A 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

https://twitter.com/MarkGerstein/status/1101927645145645056

A single-cell molecular map of mouse gastrulation and early organogenesis | Nature

February 28, 2019

https://www.nature.com/articles/s41586-019-0933-9

The single-cell transcriptional landscape of mammalian organogenesis

February 28, 2019

Using 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.

https://www.nature.com/articles/s41586-019-0969-x.epdf

Everyday Scientist ยป deconvoluting deconvolving

January 13, 2018

http://blog.everydayscientist.com/?p=517

A survey of human brain transcriptome diversity at the single cell level

June 27, 2017

Brain #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, 2017

http://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. “}}

Cell lineage analysis in human brain using endogenous retroelements. – PubMed – NCBI

May 7, 2016

Cell-lineage analysis in human #brain using endogenous retroelements http://www.cell.com/neuron/abstract/S0896-6273(14)01137-4 Tracing L1 insertions w/ #singlecell sequencing

Using single cell WGS of 16 neuronal cells the authors investigated two somatic insertions of L1Hs elements in an adult human brain. Using these results the authors infer that L1 somatic insertions are infrequent and ALUs and SVAs somatic retrotransposition are extremely rare. Assessing two L1Hs insertions in 32 samples across different regions of this same adult brain, they found that while one insertion was spatially restricted (2x1cm region), the other was found across all samples of the adult brain (but not found in other tissues such as Heart, Lung, etc.). The more restricted one (L1Hs#1) is inferred to have happened during the Fetal stage (first trimester) while the broader one happened earlier, approximately 2 weeks
post-fertilization. Overall the paper is clear, concise, and simple. It answers an interesting biological question: Can retrotransposition be used as a marker of cell clonal expansion? It does, although the retrotransposition frequency is very small and SNVs might support better results for the same analysis due to their higher frequency..