Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Carolina H Chung"'
Autor:
Gabriella Assante, Sriram Chandrasekaran, Stanley Ng, Aikaterini Tourna, Carolina H. Chung, Kowsar A. Isse, Jasmine L. Banks, Ugo Soffientini, Celine Filippi, Anil Dhawan, Mo Liu, Steven G. Rozen, Matthew Hoare, Peter Campbell, J. William O. Ballard, Nigel Turner, Margaret J. Morris, Shilpa Chokshi, Neil A. Youngson
Publikováno v:
Genome Medicine, Vol 14, Iss 1, Pp 1-16 (2022)
Abstract Background The incidence of non-alcoholic fatty liver disease (NAFLD)-associated hepatocellular carcinoma (HCC) is increasing worldwide, but the steps in precancerous hepatocytes which lead to HCC driver mutations are not well understood. He
Externí odkaz:
https://doaj.org/article/4c59d9255acd4dbe97a0e6aee280b26c
Autor:
Shivangi Yadav, Ranya Virk, Carolina H. Chung, Mariana Bustamante Eduardo, David VanDerway, Duojiao Chen, Kirsten Burdett, Hongyu Gao, Zexian Zeng, Manish Ranjan, Gannon Cottone, Xiaoling Xuei, Sriram Chandrasekaran, Vadim Backman, Robert Chatterton, Seema Ahsan Khan, Susan E. Clare
Publikováno v:
npj Breast Cancer, Vol 8, Iss 1, Pp 1-17 (2022)
Abstract Improved understanding of local breast biology that favors the development of estrogen receptor negative (ER−) breast cancer (BC) would foster better prevention strategies. We have previously shown that overexpression of specific lipid met
Externí odkaz:
https://doaj.org/article/52f370b4b3ad414294bef582910b2c61
Autor:
Gabriella Assante, Sriram Chandrasekaran, Stanley Ng, Aikaterini Tourna, Carolina H. Chung, Kowsar A. Isse, Jasmine L. Banks, Ugo Soffientini, Celine Filippi, Anil Dhawan, Mo Liu, Steven G. Rozen, Matthew Hoare, Peter Campbell, J. William O. Ballard, Nigel Turner, Margaret J. Morris, Shilpa Chokshi, Neil A. Youngson
Publikováno v:
Genome Medicine, Vol 15, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/eb93debd63754739be2c1d678c35747f
Autor:
Shivangi Yadav, Ranya Virk, Carolina H. Chung, Mariana Bustamante Eduardo, David VanDerway, Duojiao Chen, Kirsten Burdett, Hongyu Gao, Zexian Zeng, Manish Ranjan, Gannon Cottone, Xiaoling Xuei, Sriram Chandrasekaran, Vadim Backman, Robert Chatterton, Seema Ahsan Khan, Susan E. Clare
Publikováno v:
npj Breast Cancer, Vol 9, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/0482c004ab534c9386ad84675aab7af9
Autor:
Anna Shcherbina, Jacqueline Larouche, Paula Fraczek, Benjamin A. Yang, Lemuel A. Brown, James F. Markworth, Carolina H. Chung, Mehwish Khaliq, Kanishka de Silva, Jeongmoon J. Choi, Mohammad Fallahi-Sichani, Sriram Chandrasekaran, Young C. Jang, Susan V. Brooks, Carlos A. Aguilar
Publikováno v:
Cell Reports, Vol 32, Iss 4, Pp 107964- (2020)
Summary: During aging, there is a progressive loss of volume and function in skeletal muscle that impacts mobility and quality of life. The repair of skeletal muscle is regulated by tissue-resident stem cells called satellite cells (or muscle stem ce
Externí odkaz:
https://doaj.org/article/4c25cc2531574597b3eba84ef930cfd5
Publikováno v:
Metabolites, Vol 11, Iss 9, p 606 (2021)
Genome-scale metabolic models (GEMs) are powerful tools for understanding metabolism from a systems-level perspective. However, GEMs in their most basic form fail to account for cellular regulation. A diverse set of mechanisms regulate cellular metab
Externí odkaz:
https://doaj.org/article/7590c4e454f9490ca2da89efe0a9ec76
Autor:
Seema A. Khan, Ranya Virk, Sriram Chandrasekaran, Shivangi Yadav, Susan E. Clare, Carolina H Chung, Vadim Backman
Publikováno v:
Cancer Research. 81:PS17-40
INTRODUCTION:Metabolic switching has been linked with cancer progression. We initially reported increased expression of lipids metabolism genes in the contralateral breasts of women with unilateral estrogen receptor negative (ER-) breast cancer. We t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad860e15c336f03f7f7c6da42c145b9b
https://doi.org/10.1158/1538-7445.sabcs20-ps17-40
https://doi.org/10.1158/1538-7445.sabcs20-ps17-40
Publikováno v:
Drug discovery today. 27(6)
Combination therapies can overcome antimicrobial resistance (AMR) and repurpose existing drugs. However, the large combinatorial space to explore presents a daunting challenge. In response, machine learning (ML) algorithms are being applied to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd2158093ff4d4f74b612711dc964d03
https://pubmed.ncbi.nlm.nih.gov/35398560
https://pubmed.ncbi.nlm.nih.gov/35398560
Publikováno v:
Metabolites, Vol 11, Iss 606, p 606 (2021)
Metabolites
Metabolites
Genome-scale metabolic models (GEMs) are powerful tools for understanding metabolism from a systems-level perspective. However, GEMs in their most basic form fail to account for cellular regulation. A diverse set of mechanisms regulate cellular metab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ae1dff49bd1243ebf6fa54788a048d
https://www.mdpi.com/2218-1989/11/9/606
https://www.mdpi.com/2218-1989/11/9/606
Drug combinations are a promising strategy to counter antibiotic resistance. However, current experimental and computational approaches do not account for the entire complexity involved in combination therapy design, such as the effect of pathogen me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5053799a7348cf1eeb7f88e5026ccc87
https://doi.org/10.1101/2021.08.03.454957
https://doi.org/10.1101/2021.08.03.454957
