Posts Tagged ‘jclub’

Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution : Nature : Nature Publishing Group

Saturday, January 23rd, 2016

Dynamics of genomic clones in breast #cancer PDX at #singlecell resolution http://www.nature.com/nature/journal/v518/n7539/full/nature13952.html Extensive trees of samples & some WGS

Peter Eirew,
Adi Steif,
Jaswinder Khattra,
Gavin Ha,

Jazmine Brimhall,
Arusha Oloumi,
Tomo Osako
et al.

Nature 518, 422–426 (19 February 2015) doi:10.1038/nature13952

Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells | Science

Wednesday, January 13th, 2016

#SingleCell #RNASeq Reveals Dynamic, Random Monoallelic Gene Expression, occurring in ~20% of genes in mice cells
http://science.sciencemag.org/content/343/6167/193.abstract

PLOS Computational Biology: Catalysis of Protein Folding by Chaperones Accelerates Evolutionary Dynamics in Adapting Cell Populations

Friday, December 18th, 2015

Folding by Chaperones Accelerates Evolutionary Dynamics
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003269 Multiscale models link NT mutations, PPIs & cell populations

Cell type- and brain region-resolved mouse brain proteome : Nature Neuroscience : Nature Publishing Group

Sunday, December 13th, 2015

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

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells : Nature Biotechnology : Nature Publishing Group

Saturday, November 14th, 2015

Heterogeneity in #singlecell RNAseq…hidden subpopulations by @OliverStegle lab http://www.nature.com/nbt/journal/v33/n2/full/nbt.3102.html scLVM corrects for cell cycle phase

Buettner, Florian, Kedar N. Natarajan, F. Paolo Casale, Valentina
Proserpio, Antonio Scialdone, Fabian J. Theis, Sarah A. Teichmann,
John C. Marioni, and Oliver Stegle. "Computational analysis of
cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals
hidden subpopulations of cells." Nature biotechnology 33, no. 2
(2015): 155-160.

Panorama of ancient metazoan macromolecular complexes : Nature : Nature Publishing Group

Saturday, September 26th, 2015

Panorama of ancient metazoan #macromolecular complexes
http://www.nature.com/nature/journal/v525/n7569/abs/nature14877.html Finding many more #complexes from integrating many co-elutions

http://www.nature.com/nature/journal/v525/n7569/full/nature14877.html#affil-auth

Punctuated equilibrium in the large-scale evolution of programming languages | Journal of The Royal Society Interface

Tuesday, September 22nd, 2015

Punctuated equilibrium in the large-scale #evolution of #programming languages http://rsif.royalsocietypublishing.org/content/12/107/20150249 Clustering groups these into trees

Punctuated equilibrium in the large-scale evolution of programming languages
Sergi Valverde, Ricard V. Solé

Why Human Disease-Associated Residues Appear as the Wild-Type in Other Species: Genome-Scale Structural Evidence for the Compensation Hypothesis

Monday, September 14th, 2015

Why human disease-associated residues appear as WT in other species http://mbe.oxfordjournals.org/content/31/7/1787.abstract Compensation by their 3D structural neighbors

Cell-of-origin chromatin organization shapes the mutational landscape of cancer : Nature : Nature Publishing Group

Wednesday, September 2nd, 2015

#Chromatin…shapes the mutational landscape of cancer
http://www.nature.com/nature/journal/v518/n7539/full/nature14221.html Low DNase correlates w/ high SNVs in melanoma. True generally?

Single-cell chromatin accessibility reveals principles of regulatory variation : Nature : Nature Publishing Group

Friday, August 28th, 2015

#SingleCell chromatin accessibility
http://www.nature.com/nature/journal/v523/n7561/full/nature14590.html >1.6k ATAC-seq expts; many on @ENCODE_NIH cell lines H1, GM12878 & K562