linkstream2 microblog

Zhang, Bin, Chris Gaiteri, Liviu-Gabriel Bodea, Zhi Wang, Joshua McElwee, Alexei A. Podtelezhnikov, Chunsheng Zhang et al. "Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer’s disease." Cell 153, no. 3 (2013): 707-720.

Integrated systems approach identifies genetic…#networks in…Alzheimer’s http://www.Cell.com/cell/abstract/S0092-8674(13)00387-5 Determining causality from co-expression

The #Brain That Couldn’t Remember
http://www.NYTimes.com/2016/08/07/magazine/the-brain-that-couldnt-remember.html Fight over the ownership of HM’s highlights issues in consent HT @FearLoathingBTX

What Dead Pigs Can’t Teach Us About @CSI_CBS
http://www.nytimes.com/2016/06/14/science/forensic-science-body-farm.html Wonder what this tells us about RIN? #RNAseq

two papers for journal club:

1. What are super-enhancers? Pott et al., Nature Genetics (2015) http://www.nature.com/ng/journal/v47/n1/full/ng.3167.html

2. Epigenomic analysis detects aberrant super-enhancer DNA methylation in human cancer, Heyn et al., Genome Biology (2016)
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0879-2

#Epigenomic analysis detects aberrant super-enhancer DNA methylation in human #cancer
https://GenomeBiology.biomedcentral.com/articles/10.1186/s13059-016-0879-2 hypo-Me of many large blocks

http://www.pnas.org/content/110/24/9950.full

gene expression rhythms in brain & relation to time of death
http://www.nytimes.com/2015/12/29/science/seeking-the-gears-of-our-inner-clock.html

gene expression rhythms in brain & relation to time of death
http://www.nytimes.com/2015/12/29/science/seeking-the-gears-of-our-inner-clock.html

Celltype & region–resolved mouse brain proteome
http://www.nature.com/neuro/journal/v18/n12/full/nn.4160.html proteins enriched there v liver & in specific regions (eg NCX v STR)

http://www.nature.com/neuro/journal/v18/n12/full/nn.4160.html

Human tissue-specific #networks by @TroyanskayaLab
http://www.nature.com/ng/journal/v47/n6/full/ng.3259.html
Brain-specific ones & NetWAS approach for combining #GWAS genes

access all tissue networks including the brain-specific
networks at giant.princeton.edu

Canonical genetic signatures [across 132 structures] of the adult human #brain [in 6 individuals]
http://www.nature.com/neuro/journal/vaop/ncurrent/full/nn.4171.html HT @ozgunharmanci

QT:{{”
We applied a correlation-based metric called differential stability to assess reproducibility of gene expression patterning across 132 structures in six individual brains, revealing mesoscale genetic organization. The genes with the highest differential stability are highly biologically relevant, with enrichment for brain-related annotations, disease associations, drug targets and literature citations.
“}}