Archive for the 'SciLit' Category

An ultra-low-input native ChIP-seq protocol for genome-wide profiling of rare cell populations : Nature Communications : Nature Publishing Group

February 9, 2016

http://www.nature.com/ncomms/2015/150121/ncomms7033/full/ncomms7033.html

Julie Brind’Amour,
Sheng Liu,
Matthew Hudson,
Carol Chen,
Mohammad M. Karimi
& Matthew C. Lorincz

Nature Communications 6, Article number: 6033 doi:10.1038/ncomms7033

Mapping DNA methylation across development, genotype and schizophrenia in the human frontal cortex : Nature Neuroscience : Nature Publishing Group

February 9, 2016

http://www.nature.com/neuro/journal/v19/n1/abs/nn.4181.html

Andrew E Jaffe,
Yuan Gao,
Amy Deep-Soboslay,
Ran Tao,
Thomas M Hyde,
Daniel R Weinberger
& Joel E Kleinman

Nature Neuroscience 19, 40–47 (2016) doi:10.1038/nn.4181

Boutros PC…., van der Kwast T, Bristow RG* (2015) “Spatial genomic heterogeneity within localized, mult i-focal prostate cancer” Nature Genetics 47(7):736-745 (PMID: 26005866)

January 25, 2016

Spatial genomic heterogeneity w/in…prostate #cancer
http://www.nature.com/ng/journal/v47/n7/full/ng.3315.html WGS analysis of many sites suggests divergent tumor evolution

Boutros…, van der Kwast, Bristow (2015) “Spatial genomic
heterogeneity within localized, multi-focal prostate cancer” Nature Genetics 47(7):736-745 (PMID: 26005866)

This work represents the first systematic relation of intraprostatic genomic heterogeneity to predicted clinical outcomes at the level of whole-genome sequencing (WGS). Five patients, with index tumors of Gleason score 7, were subjected to a WGS protocol with spatial sampling of 23 distinct tumor regions to assess intraprostatic heterogeneity. In their analysis, Boutros et al, discovered recurrent amplification of MYCL, which is associated with TP53 loss. This finding is one of the first clear functional distinctions between MYC family members in prostate cancer and suggests that MYCL amplification may be preferentially localized in the index lesion. Overall, the authors believe their results are useful in the development of prognostic biomarkers that are necessary to achieve personalized prostate cancer medicine. It is important to note that such diagnostic biopsy protocols can miss regions of more aggressive cancers resulting in the patient being under-staged.

CTCF-Mediated Human 3D Genome Architecture Reveals Chromatin Topology for Transcription: Cell

January 23, 2016

http://www.cell.com/cell/pdf/S0092-8674(15)01504-4.pdf

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

January 23, 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

January 13, 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

Health ROI as a measure of misalignment of biomedical needs and resources : Nature Biotechnology : Nature Publishing Group

January 10, 2016

Health ROI as a measure of misalignment of…needs & resources by @arzhetsky http://www.nature.com/nbt/journal/v33/n8/full/nbt.3276.html See funding decisions like stock trades

QT:{{"In a recently published letter to Nature Biotechnology, Lixia Yao,
IGSB core faculty Andrey Rzhetsky and colleagues dissect the decisions
made in funding choices. His team compares these choices by funding
agencies to trades in a financial market. In this communication, they
expand on the idea that there exists an imbalance between health needs
and biomedical research investment.

In order to fairly examine the relationship between biomedical need
and biomedical research, they validated a new, insurance based measure
of health burden that enables automatic evaluation of burden and
research investment for many more diseases than have been previously
assessed. "
"}}

Ewing AD*, Houlahan KE…..Stuart JM, Boutros PC (2015) “Combining accurate tumour genome simulation with crow d-sourcing to benchmark somatic single nucleotide variant detection” Nature Methods 12(7):623-630 (PMID: 25984700)

December 28, 2015

Tumor genome simulation w/ #crowdsourcing to benchmark…SNV detection http://www.nature.com/nmeth/journal/v12/n7/full/nmeth.3407.html Addresses lack of gold standards & privacy

Ewing, Houlahan…..Stuart, Boutros (2015) “Combining accurate
tumour genome simulation with crowd-sourcing to benchmark somatic
single nucleotide variant detection” Nature Methods 12(7):623-630
(PMID: 25984700)

A crowdsourced benchmark of somatic mutation detection algorithms was
introduced for the ICGC-TCGA DREAM challenge. This has the advantage
of dealing with the lack of gold standard data and the issue of
sharing private genomic data. All groups worked on three different
simulated tumor-normal pairs generated with BAMSurgeon, by directly
adding synthetic mutations to existing reads. An ensemble of
pipelines outperforms the best individual pipeline in all cases,
assessed on the basis of recall, precision and F-score.
Parameterization and genomic localization both have an effect on
pipeline performance, while characteristics of prediction errors
differed for most pipelines.

Bias from removing read duplication in ultra-deep sequencing experiments

December 25, 2015

Bias from removing read duplication [eg from PCR amplification] in ultra-deep #sequencing
http://bioinformatics.oxfordjournals.org/content/early/2014/01/02/bioinformatics.btt771 pot. overcorrection issues

Zhou et al.

Bias from removing read duplication in ultra-deep sequencing experiments

Estimating variant allele frequency and copy number variations can be approached by counting reads. In practice, read counting is
complicated by bias from PCR amplification and from sampling coincidence. This paper assessed the overcorrection introduced while removing read duplicates. The overcorrection is a particular concern when the sequencing is ultra-deep and the insert size is short and non-variant.

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

December 18, 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