https://www.nytimes.com/2021/01/09/science/platypus-genome-echidna.amp.html
Posts Tagged ‘evolution’
Platypus genome
May 5, 2021Somatic evolution and global expansion of an ancient transmissible cancer lineage | Science
April 14, 2020Adrian Baez-Ortega1, Kevin Gori1,*, Andrea Strakova1,*, Janice L. Allen2, Karen M. Allum3, Leontine Bansse-Issa4, …. Michael R. Stratton62, Ludmil B. Alexandrov63, Iñigo Martincorena62, Elizabeth P. Murchison1,†
Science 02 Aug 2019:
Vol. 365, Issue 6452, eaau9923
DOI: 10.1126/science.aau9923
Evogeneao: The Tree of Life
December 2, 2017Evogeneao: The Tree of Life
https://www.evogeneao.com/explore/tree-of-life-explorer Nice web tool. Particularly good for interactively #visualizing human #evolution relative to that of other species
A Big Bang model of human colorectal tumor growth : Nature Genetics : Nature Research
June 7, 2017https://www.nature.com/ng/journal/v47/n3/full/ng.3214.html
Big Bang model of…tumor growth, v. slow #evolution under selection https://www.Nature.com/ng/journal/v47/n3/full/ng.3214.html #Cancer is born w/ key mutations all there
Andrea Sottoriva,
Haeyoun Kang,
Zhicheng Ma,
Trevor A Graham,
Matthew P Salomon,
Junsong Zhao,
Paul Marjoram,
Kimberly Siegmund,
Michael F Press,
Darryl Shibata
& Christina Curtis
Nature Genetics 47, 209–216 (2015) doi:10.1038/ng.3214
Exploiting Temporal Collateral Sensitivity in Tumor Clonal Evolution: Cell
February 4, 2017Temporal Collateral Sensitivity in Tumor…Evolution
http://www.cell.com/cell/abstract/S0092-8674(16)30059-9 Drug-fitness landscape illuminates transiently vulnerable state
Exploiting Temporal Collateral Sensitivity in Tumor Clonal Evolution
Boyang Zhao
Joseph C. Sedlak
Raja Srinivas
Pau Creixell
Justin R. Pritchard
Bruce Tidor
Douglas A. Lauffenburger
Michael T. Hemann
The Ascent of Mammals – Scientific American
July 4, 2016The Ascent of #Mammals
http://www.scientificamerican.com/article/the-ascent-of-mammals/ Overview of their slow growth & coexistence w. dinosaurs, not just advent after KT asteroid
Identification of neutral tumor evolution across cancer types : Nature Genetics : Nature Publishing Group
February 27, 2016Neutral tumor #evolution across #cancer types
http://www.nature.com/ng/journal/v48/n3/full/ng.3489.html Initial burst of driver events followed by random mutations
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, 2016Spatial 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.
PLOS Computational Biology: Catalysis of Protein Folding by Chaperones Accelerates Evolutionary Dynamics in Adapting Cell Populations
December 18, 2015Folding 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
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