Archive for the ‘SciLit’ Category

Cancer etiology. Variation in cancer risk among tissues can be explained by the number of stem cell divisions. – PubMed – NCBI

Sunday, September 18th, 2016

http://www.ncbi.nlm.nih.gov/pubmed/25554788

PETModule: a motif module based approach for enhancer target gene prediction : Scientific Reports

Saturday, September 17th, 2016

PETModule…enhancer-target-gene prediction
http://www.nature.com/articles/srep30043 Compares activity
correlations against a Hi-C/ChIA-PET gold std.

Cancer undefeated. – PubMed – NCBI

Sunday, September 11th, 2016

http://www.ncbi.nlm.nih.gov/pubmed/9164814
Bailar JC 3rd1, Gornik HL.NEJM

QT:{{"
Despite decades of basic and clinical research and trials of promising new therapies, cancer remains a major cause of morbidity and mortality. We assessed overall progress against cancer in the United States from 1970 through 1994 by analyzing changes in age-adjusted mortality rates."}}

Treatment of Acute Lymphoblastic Leukemia — 30 Years’ Experience at St. Jude Children’s Research Hospital — NEJM

Sunday, September 11th, 2016

http://www.nejm.org/doi/full/10.1056/NEJM199310283291801#t=article

QT:{{”
When treated with effective multiagent chemotherapy, about two thirds of children with newly diagnosed acute lymphoblastic leukemia survive for long periods of time1-4. Much of this success can be credited to more intensive early treatment, especially of patients at higher risk of relapse.
“}}

Result of Pinkel ’79 study

Synthetic microbe lives with fewer than 500 genes

Saturday, September 10th, 2016

Synthetic microbe lives with fewer than 500 genes from @JCVenterInst http://www.ScienceMag.org/news/2016/03/synthetic-microbe-lives-less-500-genes 179 of the 479 genes have unknown functions

QT:{{”
“The microbe’s streamlined genetic structure excites evolutionary biologists and biotechnologists, who anticipate adding genes back to it one by one to study their effects. “It’s an important step to creating a living cell where the genome is fully defined,” says synthetic biologist Chris Voigt of the Massachusetts Institute of Technology in Cambridge. But Voigt and others note that this complete definition remains a ways off, because the function of 149 of Syn 3.0’s genes—roughly one-third—
remains unknown. Investigators’ first task is to probe the roles of those genes, which promise new insights into the basic biology of life.”
“}}

Universality of human microbial dynamics : Nature : Nature Research

Monday, September 5th, 2016

Universality of human #microbial dynamics
http://www.nature.com/nature/journal/v534/n7606/abs/nature18301.html Addressed via simulations & graphs comparing counts of species v organisms

Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay: Cell

Thursday, August 18th, 2016

Identification of…expr.-Modulating Variants using #MPRA, by @sabeti_lab http://www.cell.com/cell/fulltext/S0092-8674(16)30421-4 Some w. allelic skew related to PWM change

Whole organism lineage tracing by combinatorial and cumulative genome editing | Science

Wednesday, August 17th, 2016

Whole-organism lineage tracing by combinatorial… genome editing, w. #CRISPR + seq. barcodes, by @JShendure lab
http://science.sciencemag.org/content/early/2016/05/25/science.aaf7907 http://science.sciencemag.org/content/early/2016/05/25/science.aaf7907

Allele-specific transcription factor binding in liver and cervix cells unveils many likely drivers of GWAS signals. – PubMed – NCBI

Sunday, August 7th, 2016

Allele-specific TF binding in liver & cervix cells [HepG2 & HeLa] unveils many likely drivers of GWAS [SNP] signals
http://www.sciencedirect.com/science/article/pii/S0888754316300271

Spatial confinement is a major determinant of the folding landscape of human chromosomes

Thursday, July 28th, 2016

Gamze Gursoy, Yun Xu, Amy Kenter and Jie Liang. “Spatial confinement is a major determinant of folding landscape of human genome”, Nucleic Acids Research, 2014, 42 (13), 8223-8230

Confinement is a major determinant of the #folding…of chromosomes http://NAR.oxfordjournals.org/content/42/13/8223.full Simulations of self-avoiding chain growth

http://nar.oxfordjournals.org/content/42/13/8223.full