linkstream2 microblog

https://www.biorxiv.org/content/10.1101/762773v1

Published: 21 August 2019

Conserved cell types with divergent features in human versus mouse cortex

Rebecca D. Hodge, Trygve E. Bakken, Jeremy A. Miller, Kimberly A. Smith, Eliza R. Barkan, Lucas T. Graybuck, Jennie L. Close, Brian Long, Nelson Johansen, Osnat Penn, Zizhen Yao, Jeroen Eggermont, Thomas Höllt, Boaz P. Levi, Soraya I. Shehata, Brian Aevermann, Allison Beller, Darren Bertagnolli, Krissy Brouner, Tamara Casper, Charles Cobbs, Rachel Dalley, Nick Dee, Song-Lin Ding, Richard G. Ellenbogen, Olivia Fong, Emma Garren, Jeff Goldy, Ryder P. Gwinn, Daniel Hirschstein, C. Dirk Keene, Mohamed Keshk, Andrew L. Ko, Kanan Lathia, Ahmed Mahfouz, Zoe Maltzer, Medea McGraw, Thuc Nghi Nguyen, Julie Nyhus, Jeffrey G. Ojemann, Aaron Oldre, Sheana Parry, Shannon Reynolds, Christine Rimorin, Nadiya V. Shapovalova, Saroja
Somasundaram, Aaron Szafer, Elliot R. Thomsen, Michael Tieu, Gerald Quon, Richard H. Scheuermann, Rafael Yuste, Susan M. Sunkin, Boudewijn Lelieveldt, David Feng, Lydia Ng, Amy Bernard, Michael Hawrylycz, John W. Phillips, Bosiljka Tasic, Hongkui Zeng, Allan R. Jones, Christof Koch & Ed S. Lein

https://www.nature.com/articles/s41586-019-1506-7

QT:{{”

Tabula Muris is a compendium of single cell transcriptome data from the model organism Mus musculus, containing nearly 100,000 cells from 20 organs and tissues. The data allow for direct and controlled comparison of gene expression in cell types shared between tissues, such as immune cells from distinct anatomical locations. They also allow for a comparison of two distinct technical approaches: “}}

https://tabula-muris.ds.czbiohub.org/

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

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

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

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

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

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

#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. “}}