Zobrazeno 1 - 10
of 184
pro vyhledávání: '"D'Antonio-Chronowska A"'
Autor:
Timothy D. Arthur, Jennifer P. Nguyen, Agnieszka D’Antonio-Chronowska, Hiroko Matsui, Nayara S. Silva, Isaac N. Joshua, iPSCORE Consortium, André D. Luchessi, William W. Young Greenwald, Matteo D’Antonio, Martin F. Pera, Kelly A. Frazer
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Stem cells exist in vitro in a spectrum of interconvertible pluripotent states. Analyzing hundreds of hiPSCs derived from different individuals, we show the proportions of these pluripotent states vary considerably across lines. We discover
Externí odkaz:
https://doaj.org/article/16ce60b0912a42e6aef00bc8707fda12
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:
Liu, Ren, Lee, Jihwan, Tchoe, Youngbin, Pre, Deborah, Bourhis, Andrew M., D'Antonio-Chronowska, Agnieszka, Robin, Gaelle, Lee, Sang Heon, Ro, Yun Goo, Vatsyayan, Ritwik, Tonsfeldt, Karen J., Hossain, Lorraine A., Phipps, M. Lisa, Yoo, Jinkyoung, Nogan, John, Martinez, Jennifer S., Frazer, Kelly A., Bang, Anne G., Dayeh, Shadi A.
Intracellular access with high spatiotemporal resolution can enhance our understanding of how neurons or cardiomyocytes regulate and orchestrate network activity, and how this activity can be affected with pharmacology or other interventional modalit
Externí odkaz:
http://arxiv.org/abs/2106.16154
Autor:
Matteo D’Antonio, Jennifer P. Nguyen, Timothy D. Arthur, iPSCORE Consortium, Hiroko Matsui, Agnieszka D’Antonio-Chronowska, Kelly A. Frazer
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract The causal variants and genes underlying thousands of cardiac GWAS signals have yet to be identified. Here, we leverage spatiotemporal information on 966 RNA-seq cardiac samples and perform an expression quantitative trait locus (eQTL) analy
Externí odkaz:
https://doaj.org/article/680bf39df12c4da8ab5b9e15f39d2351
Autor:
Matteo D’Antonio, Jennifer P. Nguyen, Timothy D. Arthur, iPSCORE Consortium, Hiroko Matsui, Agnieszka D’Antonio-Chronowska, Kelly A. Frazer
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/8257909683dc45419f8bc4078c604ffd
Akademický článek
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Autor:
Matteo D’Antonio, Jennifer P. Nguyen, Timothy D. Arthur, Hiroko Matsui, Agnieszka D’Antonio-Chronowska, Kelly A. Frazer
Publikováno v:
Cell Reports, Vol 39, Iss 11, Pp 110968- (2022)
Externí odkaz:
https://doaj.org/article/1f00fe660d8144b3ac5edc9d30052fb8
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
David Jakubosky, Erin N. Smith, Matteo D’Antonio, Marc Jan Bonder, William W. Young Greenwald, Agnieszka D’Antonio-Chronowska, Hiroko Matsui, i2QTL Consortium, Oliver Stegle, Stephen B. Montgomery, Christopher DeBoever, Kelly A. Frazer
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
The complexity of structural variation (SV) and short tandem repeats (STRs) makes it necessary to apply different calling and filtering strategies to sequencing datasets. Here, Jakubosky et al. report a comprehensive SV and STR callset from whole-gen
Externí odkaz:
https://doaj.org/article/318f78de837f4a16ab088e0ac0b741f4