Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Robert A. Brewster"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1012194 (2024)
Transcription factors (TFs) regulate the process of transcription through the modulation of different kinetic steps. Although models can often describe the observed transcriptional output of a measured gene, predicting a TFs role on a given promoter
Externí odkaz:
https://doaj.org/article/c0e018b27b3c4b438cc254aee6851bc3
Publikováno v:
Molecular Systems Biology, Vol 18, Iss 6, Pp 1-16 (2022)
Abstract Predicting the quantitative regulatory function of transcription factors (TFs) based on factors such as binding sequence, binding location, and promoter type is not possible. The interconnected nature of gene networks and the difficulty in t
Externí odkaz:
https://doaj.org/article/1857f37b19d943e18079889291a6f083
Autor:
Md Zulfikar Ali, Robert C Brewster
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009745 (2022)
Gene networks typically involve the regulatory control of multiple genes with related function. This connectivity enables correlated control of the levels and timing of gene expression. Here we study how gene expression timing in the single-input mod
Externí odkaz:
https://doaj.org/article/f7df754f153149d595976a93c3d577cc
Publikováno v:
eLife, Vol 9 (2020)
Predicting gene expression from DNA sequence remains a major goal in the field of gene regulation. A challenge to this goal is the connectivity of the network, whose role in altering gene expression remains unclear. Here, we study a common autoregula
Externí odkaz:
https://doaj.org/article/78595cc8953d4239a5cdc258d8041d20
Autor:
Jote T. Bulcha, Gabrielle E. Giese, Md. Zulfikar Ali, Yong-Uk Lee, Melissa D. Walker, Amy D. Holdorf, L. Safak Yilmaz, Robert C. Brewster, Albertha J.M. Walhout
Publikováno v:
Cell Reports, Vol 26, Iss 2, Pp 460-468.e4 (2019)
Summary: Biological systems must possess mechanisms that prevent inappropriate responses to spurious environmental inputs. Caenorhabditis elegans has two breakdown pathways for the short-chain fatty acid propionate: a canonical, vitamin B12-dependent
Externí odkaz:
https://doaj.org/article/f885682baa464efda4376d890475dca9
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 4, p e1005491 (2017)
Gene expression is intrinsically a stochastic (noisy) process with important implications for cellular functions. Deciphering the underlying mechanisms of gene expression noise remains one of the key challenges of regulatory biology. Theoretical mode
Externí odkaz:
https://doaj.org/article/7dbc0f68869049eea046e000e310eca9
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0179235 (2017)
Individual regulatory proteins are typically charged with the simultaneous regulation of a battery of different genes. As a result, when one of these proteins is limiting, competitive effects have a significant impact on the transcriptional response
Externí odkaz:
https://doaj.org/article/745a7d834be148e7883c11e12e8e5840
Predicting the quantitative regulatory function of a TF based on factors such as binding sequence, binding location and promoter type is not possible. The interconnected nature of gene networks and the difficulty in tuning individual TF concentration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7f25ac514c13e7dad93b843e46a009e
https://doi.org/10.1101/2021.11.16.468742
https://doi.org/10.1101/2021.11.16.468742
Autor:
Robert A. Brewster
Publikováno v:
Journal of Fluids Engineering. 144
A friction factor correlation for laminar, hydrodynamically fully developed pipe flows of shear-thinning non-Newtonian fluids is derived through analysis and asymptotic considerations. The specific non-Newtonian fluid model used is the extended modif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47c5feeaa524cad27fe9408498f59316
https://doi.org/10.1115/1.4051576
https://doi.org/10.1115/1.4051576
Autor:
Md Zulfikar Ali, Robert C. Brewster
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009745 (2022)
PLoS Computational Biology
PLoS Computational Biology
Gene networks typically involve the regulatory control of multiple genes with related function. This connectivity enables correlated control of the levels and timing of gene expression. Here we study how gene expression timing in the single-input mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef39363b3e1f02ec53ddefd6dc9031b8
https://doi.org/10.1101/2021.04.09.439163
https://doi.org/10.1101/2021.04.09.439163