Posts Tagged ‘from’

Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling: Cell

July 2, 2016

Kinome-wide Decoding of #Network-Attacking Mutations Rewiring Cancer http://www.cell.com/cell/abstract/S0092-8674(15)01108-3 Mapping NAMs onto well-known signaling pathways

Tempus – Buying Time

June 18, 2016

http://www.tempus.com/

The Independent Discovery of TCP/IP, By Ants

June 18, 2016

The Independent Discovery of TCP/IP, By Ants
http://priceonomics.com/the-independent-discovery-of-tcpip-by-ants/ Protocol has similarities to #ant communication; man reinventing nature

How does multiple testing correction work?

June 13, 2016

How does multiple-testing correction work
http://www.nature.com/nbt/journal/v27/n12/abs/nbt1209-1135.html Intuition for teaching: genome-wide error rate on a single gene v family

The role of regulatory variation in complex traits and disease : Nature Reviews Genetics : Nature Publishing Group

June 12, 2016

Reg. variation in cplx traits by @LeonidKruglyak
http://www.nature.com/nrg/journal/v16/n4/full/nrg3891.html nice teaching figure for #eQTLs, showing how mostly cis + hotspots http://www.nature.com/nrg/journal/v16/n4/full/nrg3891.html

Amazon.com: Ice to the Eskimos: How to Market a Product Nobody Wants eBook: Jon Spoelstra: Kindle Store

June 5, 2016

https://www.amazon.com/Ice-Eskimos-Market-Product-Nobody-ebook/dp/B000RO9VK4?ie=UTF8&btkr=1&ref_=dp-kindle-redirect

Genome-wide association study identifies 74 loci associated with educational attainment : Nature : Nature Publishing Group

May 21, 2016

GWAS identifies 74 loci associated w. educational attainment http://www.nature.com/nature/journal/vaop/ncurrent/full/nature17671.html Described in 3 pgs of main text & 146 pgs of supplement

http://www.nature.com/nature/journal/vaop/ncurrent/full/nature17671.html

Lalonde E*, Ishkanian AS*, ….P’ng C, Collins CC, Squire JA, Jurisica I, Cooper C, Eeles R, Pintilie M, Dal Pra A, Davicioni E, Lam WL, Milosevic M, Neal DE, van der Kwast T, Boutros PC, Bristow RG (2014) “Tumour genomic a nd microenvironmental heterogeneity as integrated predictors for prostate cancer recurrence: a retrospective study” La ncet Oncology 15(13):1521-1532 (PMID: 25456371)

May 17, 2016

Genomic & microenvironmental heterogeneity as integrated predictors for prostate #cancer recurrence
http://www.ncbi.nlm.nih.gov/pubmed/25456371 CNVs & hypoxia

* Lalonde E*, Ishkanian AS*, ….P’ng C, Collins CC, Squire JA, Jurisica I, Cooper C, Eeles R, Pintilie M, Dal Pra A, Davicioni E, Lam WL, Milosevic M, Neal DE, van der Kwast T, Boutros PC, Bristow RG (2014) “Tumour genomic and microenvironmental heterogeneity as integrated predictors for prostate cancer recurrence: a retrospective study” Lancet Oncology 15(13):1521-1532 (PMID: 25456371)

The novelty of the paper is that it is the first study integrating DNA-based signatures and microenviroment-based signature for cancer prognosis. The authors found four prognostic indices, i.e. cancer genomic subtype (generated from clusters of CNV profiles), genomic instability (represented by the percentage of genome alteration), DNA signature (276 genes identified from random forests), and tumor hypoxia (the microenvironment signature), to be effective in predicting patient survival in different groups. Standard clinical univariate and multivariate analyses were performed.

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..

Magical gadget scans your food to reveal its nutritional value

May 6, 2016

http://mashable.com/2016/01/04/dietsensor-scio-scans-food/#hRQDoFKARqqN