Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Margaret K. R. Donovan"'
Autor:
Karsten Suhre, Guhan Ram Venkataraman, Harendra Guturu, Anna Halama, Nisha Stephan, Gaurav Thareja, Hina Sarwath, Khatereh Motamedchaboki, Margaret K. R. Donovan, Asim Siddiqui, Serafim Batzoglou, Frank Schmidt
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Proteogenomics studies generate hypotheses on protein function and provide genetic evidence for drug target prioritization. Most previous work has been conducted using affinity-based proteomics approaches. These technologies face challenges,
Externí odkaz:
https://doaj.org/article/dc36d59054594f129b87e7c28a9978c6
Autor:
Jennifer P. Nguyen, Timothy D. Arthur, Kyohei Fujita, Bianca M. Salgado, Margaret K. R. Donovan, iPSCORE Consortium, Hiroko Matsui, Ji Hyun Kim, Agnieszka D’Antonio-Chronowska, Matteo D’Antonio, Kelly A. Frazer
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-22 (2023)
Abstract The impact of genetic regulatory variation active in early pancreatic development on adult pancreatic disease and traits is not well understood. Here, we generate a panel of 107 fetal-like iPSC-derived pancreatic progenitor cells (iPSC-PPCs)
Externí odkaz:
https://doaj.org/article/17651eb9e70d46c1886f82910dec5f0c
Autor:
Margaret K. R. Donovan, Yingxiang Huang, John E. Blume, Jian Wang, Daniel Hornburg, Shadi Ferdosi, Iman Mohtashemi, Sangtae Kim, Marwin Ko, Ryan W. Benz, Theodore L. Platt, Serafim Batzoglou, Luis A. Diaz, Omid C. Farokhzad, Asim Siddiqui
Publikováno v:
PLoS ONE, Vol 18, Iss 3 (2023)
Advancements in deep plasma proteomics are enabling high-resolution measurement of plasma proteoforms, which may reveal a rich source of novel biomarkers previously concealed by aggregated protein methods. Here, we analyze 188 plasma proteomes from n
Externí odkaz:
https://doaj.org/article/4c979823f90c4ce7aea9a607a688c322
Autor:
David Jakubosky, Matteo D’Antonio, Marc Jan Bonder, Craig Smail, Margaret K. R. Donovan, William W. Young Greenwald, Hiroko Matsui, i2QTL Consortium, Agnieszka D’Antonio-Chronowska, Oliver Stegle, Erin N. Smith, Stephen B. Montgomery, Christopher DeBoever, Kelly A. Frazer
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Genetic variation associated with gene expression changes has mostly been studied in the context of single nucleotide variants. Here, Jakubosky et al. report eQTL analysis of structural variants and short tandem repeats and find properties, such as l
Externí odkaz:
https://doaj.org/article/3ac8df01ae4c4323ad093a164d82fdc4
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Cellular heterogeneity can confound functional genomics analyses of bulk tissues. Here, Donovan et al. deconvolute bulk GTEx RNA-seq data utilizing scRNA-seq data from the Tabula Muris project and show the power of using cell populations in eQTL anal
Externí odkaz:
https://doaj.org/article/bf4f52ec9de84c23838bce86931d7b44
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/9dbcb1a77e3d4cd1ae81a89b07d7042c
Autor:
Matteo D'Antonio, Jennifer P Nguyen, Timothy D Arthur, Hiroko Matsui, Margaret K R Donovan, Agnieszka D'Antonio-Chronowska, Kelly A Frazer
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 2, p e1009918 (2022)
Reactivation of fetal-specific genes and isoforms occurs during heart failure. However, the underlying molecular mechanisms and the extent to which the fetal program switch occurs remains unclear. Limitations hindering transcriptome-wide analyses of
Externí odkaz:
https://doaj.org/article/9db7d6f61c9c4402989534ec503a0a50
Autor:
Matteo D’Antonio, Jennifer P. Nguyen, Timothy D. Arthur, Hiroko Matsui, Margaret K. R. Donovan, Agnieszka D’Antonio-Chronowska, Kelly A. Frazer
Publikováno v:
PLoS computational biology, vol 18, iss 2
Reactivation of fetal-specific genes and isoforms occurs during heart failure. However, the underlying molecular mechanisms and the extent to which the fetal program switch occurs remains unclear. Limitations hindering transcriptome-wide analyses of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8eee1ee07dbcb59d14d99045c2f4e94
https://escholarship.org/uc/item/3tn2d5mk
https://escholarship.org/uc/item/3tn2d5mk
Publikováno v:
Nature Communications
The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different c