Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Caitlin F Harrigan"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 12, p e1010733 (2022)
Cancer genomes harbor a catalog of somatic mutations. The type and genomic context of these mutations depend on their causes and allow their attribution to particular mutational signatures. Previous work has shown that mutational signature activities
Externí odkaz:
https://doaj.org/article/74cf33fa231544038a08ee6674f0d92d
Autor:
Craig B. Thompson, Wilhelm Palm, Quaid Morris, Yeon Ju Kyung, Caitlin F. Harrigan, Agata A. Bielska
Supplementary Data from Activating mTOR Mutations Are Detrimental in Nutrient-Poor Conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d70ff739f0fa1d73a0a3a558f9928cb
https://doi.org/10.1158/0008-5472.22432077.v1
https://doi.org/10.1158/0008-5472.22432077.v1
Autor:
Agata A. Bielska, Caitlin F. Harrigan, Yeon Ju Kyung, Quaid Morris, Wilhelm Palm, Craig B. Thompson
Publikováno v:
Cancer research. 82(18)
The mTOR is a key regulator of cell growth that integrates growth factor signaling and nutrient availability and is a downstream effector of oncogenic receptor tyrosine kinases (RTK) and PI3K/Akt signaling. Thus, activating mTOR mutations would be ex
Autor:
Caitlin F Harrigan, Yulia Rubanova, Roujia Li, Ruian Shi, Amit G. Deshwar, Quaid Morris, Jeff Wintersinger, Nil Sahin
We present a new method, TrackSig, to estimate the evolutionary trajectories of signatures of different somatic mutational processes from DNA sequencing data from a single, bulk tumour sample. TrackSig uses probability distributions over mutation typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d638fd2f91a8ad30db83d04e0726515
https://doi.org/10.1101/260471
https://doi.org/10.1101/260471
Publikováno v:
Scopus-Elsevier
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
PSB
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
PSB
Mutational signatures are patterns of mutation types, many of which are linked to known mutagenic processes. Signature activity represents the proportion of mutations a signature generates. In cancer, cells may gain advantageous phenotypes through mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dea0ec3f67f973757cf3f869d00baa1c
http://www.scopus.com/inward/record.url?eid=2-s2.0-85076017027&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85076017027&partnerID=MN8TOARS
Autor:
Yulia Rubanova, Ruian Shi, Caitlin F. Harrigan, Roujia Li, Jeff Wintersinger, Nil Sahin, Amit Deshwar, PCAWG Evolution and Heterogeneity Working Group, Quaid Morris, PCAWG Consortium
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mu
Externí odkaz:
https://doaj.org/article/1a3e0a924fa54deda33cd083d4a87624
Autor:
Yulia Rubanova, Ruian Shi, Caitlin F. Harrigan, Roujia Li, Jeff Wintersinger, Nil Sahin, Amit G. Deshwar, PCAWG Evolution and Heterogeneity Working Group, Quaid D. Morris, PCAWG Consortium
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/91723d08c5e440508381ec45a0173252