Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Uzma Rentia"'
Autor:
Tyson Dawson, Uzma Rentia, Jessie Sanford, Carlos Cruchaga, John S. K. Kauwe, Keith A. Crandall
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
IntroductionHuman endogenous retroviruses (HERVs) are transcriptionally-active remnants of ancient retroviral infections that may play a role in Alzheimer’s disease.MethodsWe combined two, publicly available RNA-Seq datasets with a third, novel dat
Externí odkaz:
https://doaj.org/article/1852eb2d44514d08ae2e4b85e874498f
Autor:
Keylie M. Gibson, Margaret C. Steiner, Uzma Rentia, Matthew L. Bendall, Marcos Pérez-Losada, Keith A. Crandall
Publikováno v:
Viruses, Vol 12, Iss 7, p 758 (2020)
Next-generation sequencing (NGS) offers a powerful opportunity to identify low-abundance, intra-host viral sequence variants, yet the focus of many bioinformatic tools on consensus sequence construction has precluded a thorough analysis of intra-host
Externí odkaz:
https://doaj.org/article/dd026e8a641f4d6ba8619e10a9db6b02
Autor:
Katherine B. Chiappinelli, Stephen B. Baylin, Ting Wang, Reiner Strick, Pamela L. Strissel, Xiaoyun Xing, Michael J. Topper, Olivia Cox, Erin E. Grundy, Angela Yu, Stephanie Gomez, Uzma Rentia, Tomas Kanholm, Melissa Hadley, Elisa Arthofer, Noor Diab, James I. McDonald
Epithelial ovarian carcinomas are particularly deadly due to intratumoral heterogeneity, resistance to standard-of-care therapies, and poor response to alternative treatments such as immunotherapy. Targeting the ovarian carcinoma epigenome with DNA m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d898d23e497f1395dbbac63ffe031166
https://doi.org/10.1158/0008-5472.c.6513453.v1
https://doi.org/10.1158/0008-5472.c.6513453.v1
Autor:
Katherine B. Chiappinelli, Stephen B. Baylin, Ting Wang, Reiner Strick, Pamela L. Strissel, Xiaoyun Xing, Michael J. Topper, Olivia Cox, Erin E. Grundy, Angela Yu, Stephanie Gomez, Uzma Rentia, Tomas Kanholm, Melissa Hadley, Elisa Arthofer, Noor Diab, James I. McDonald
Supplementary Figure from Epigenetic Therapies in Ovarian Cancer Alter Repetitive Element Expression in a TP53-Dependent Manner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24e34a195a2aed3778aaabda60767c09
https://doi.org/10.1158/0008-5472.22429785.v1
https://doi.org/10.1158/0008-5472.22429785.v1
Autor:
Katherine B. Chiappinelli, Stephen B. Baylin, Ting Wang, Reiner Strick, Pamela L. Strissel, Xiaoyun Xing, Michael J. Topper, Olivia Cox, Erin E. Grundy, Angela Yu, Stephanie Gomez, Uzma Rentia, Tomas Kanholm, Melissa Hadley, Elisa Arthofer, Noor Diab, James I. McDonald
Supplementary Data from Epigenetic Therapies in Ovarian Cancer Alter Repetitive Element Expression in a TP53-Dependent Manner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14b6cac7a09216980d7200774c50a439
https://doi.org/10.1158/0008-5472.22429788.v1
https://doi.org/10.1158/0008-5472.22429788.v1
Autor:
Katherine B. Chiappinelli, Stephen B. Baylin, Ting Wang, Reiner Strick, Pamela L. Strissel, Xiaoyun Xing, Michael J. Topper, Olivia Cox, Erin E. Grundy, Angela Yu, Stephanie Gomez, Uzma Rentia, Tomas Kanholm, Melissa Hadley, Elisa Arthofer, Noor Diab, James I. McDonald
Supplementary Table from Epigenetic Therapies in Ovarian Cancer Alter Repetitive Element Expression in a TP53-Dependent Manner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::818ab8fad5d90b63257bf5c83608134d
https://doi.org/10.1158/0008-5472.22429779
https://doi.org/10.1158/0008-5472.22429779
Autor:
Tomas Kanholm, Melissa Hadley, Reiner Strick, Erin E. Grundy, Ting Wang, Pamela L. Strissel, Stephanie Gomez, Angela Yu, Uzma Rentia, Noor Diab, Michael J. Topper, Stephen B. Baylin, James I. McDonald, Xiaoyun Xing, Katherine B. Chiappinelli, Olivia Cox, Elisa Arthofer
Publikováno v:
Cancer Research. 81:5176-5189
Epithelial ovarian carcinomas are particularly deadly due to intratumoral heterogeneity, resistance to standard-of-care therapies, and poor response to alternative treatments such as immunotherapy. Targeting the ovarian carcinoma epigenome with DNA m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff92c7a02b46f22144ea83787cf5a312
https://doi.org/10.1158/0008-5472.can-20-4243
https://doi.org/10.1158/0008-5472.can-20-4243
Autor:
Tomas Kanholm, Uzma Rentia, Melissa Hadley Beaty, James I. McDonald, Wenbing Xie, Stephen B. Baylin, Kathleen H. Burns, Hari Easwaran, Katherine B. Chiappinelli
Publikováno v:
Cancer Research. 82:A029-A029
Transposable elements (TEs), including LINEs, SINEs, and LTRs, are typically silenced by epigenetic mechanisms in differentiated healthy tissues. However, TE expression increases in a wide range of cancer types, likely due to global hypomethylation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea209a89c8e33e002c309f7b64d58288
https://doi.org/10.1158/1538-7445.cancepi22-a029
https://doi.org/10.1158/1538-7445.cancepi22-a029
Autor:
Stephanie Gomez, Olivia L Cox, Reddick R Walker, Uzma Rentia, Melissa Hadley, Elisa Arthofer, Noor Diab, Erin E Grundy, Tomas Kanholm, James I McDonald, Julie Kobyra, Erica Palmer, Satish Noonepalle, Alejandro Villagra, David Leitenberg, Catherine M Bollard, Yogen Saunthararajah, Katherine B Chiappinelli
Publikováno v:
Journal for ImmunoTherapy of Cancer. 10:e004974
BackgroundNovel therapies are urgently needed for ovarian cancer (OC), the fifth deadliest cancer in women. Preclinical work has shown that DNA methyltransferase inhibitors (DNMTis) can reverse the immunosuppressive tumor microenvironment in OC. Inhi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4c8cc2a9f87f7c2a807e61e705834c0
https://doi.org/10.1136/jitc-2022-004974
https://doi.org/10.1136/jitc-2022-004974
Autor:
Matthew L. Bendall, Keylie M. Gibson, Keith A. Crandall, Uzma Rentia, Marcos Pérez-Losada, Margaret C. Steiner
Publikováno v:
Molecular Biology and Evolution
Deep sequencing of viral populations using next-generation sequencing (NGS) offers opportunities to understand and investigate evolution, transmission dynamics, and population genetics. Currently, the standard practice for processing NGS data to stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52e0c9d35e96affbe63f55d4beeffde3
https://pubmed.ncbi.nlm.nih.gov/33367849
https://pubmed.ncbi.nlm.nih.gov/33367849