Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Margaret J. Tse"'
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 8, p e1006336 (2018)
Stochastic simulation has been a powerful tool for studying the dynamics of gene regulatory networks, particularly in terms of understanding how cell-phenotype stability and fate-transitions are impacted by noisy gene expression. However, gene networ
Externí odkaz:
https://doaj.org/article/35a875c7c9dc4261aa09e637d42a3de5
Autor:
Brandon Leonard, Kannan Sankar, Matthew G. Romei, Margaret J. Tse, Nina Do, Yanli Yang, Wadim L. Matochko, Jack Bevers, Sundeep Bollineni, Kiran Mukhyala, Kam Hon Hoi, Greg A. Lazar
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 119(23)
The utilization of avidity to drive and tune functional responses is fundamental to antibody biology and often underlies the mechanisms of action of monoclonal antibody drugs. There is increasing evidence that antibodies leverage homotypic interactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88be9e80872794cf12be53f378f78c0d
https://pubmed.ncbi.nlm.nih.gov/35776537
https://pubmed.ncbi.nlm.nih.gov/35776537
Autor:
James M. Brase, Thomas S. Rush, Brian J. Bennion, Kevin McLoughlin, Thomas D. Sweitzer, Margaret J. Tse, Jonathan E. Allen, Stacie Calad-Thomson, Claire G. Jeong, Amanda Minnich
Drug-induced liver injury (DILI) is the most common cause of acute liver failure and a frequent reason for withdrawal of candidate drugs during preclinical and clinical testing. An important type of DILI is cholestatic liver injury, caused by buildup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1d12110e0bc5b0a03cb79780f563a04
http://arxiv.org/abs/2002.12541
http://arxiv.org/abs/2002.12541
Autor:
Tom Rush, Andrew D. Weber, Neha Murad, Kevin McLoughlin, Bharath Ramsundar, Jim Brase, Amanda Minnich, Jason Deng, Benjamin D. Madej, Stacie Calad-Thomson, Margaret J. Tse, Jonathan E. Allen
Publikováno v:
Journal of Chemical Information and Modeling
One of the key requirements for incorporating machine learning into the drug discovery process is complete reproducibility and traceability of the model building and evaluation process. With this in mind, we have developed an end-to-end modular and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8328476b43e2f0a0fc451ae6a0764b1a
http://arxiv.org/abs/1911.05211
http://arxiv.org/abs/1911.05211
Publikováno v:
Integrative biology : quantitative biosciences from nano to macro, vol 8, iss 9
Macrophages are versatile cells of the immune system that play an important role in both advancing and resolving inflammation. Macrophage activation has been described as a continuum, and different stimuli lead to M1, M2, or mixed phenotypes. In addi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b872dcacf13640c95d4742d2919328ce
https://doi.org/10.1039/c6ib00105j
https://doi.org/10.1039/c6ib00105j
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 8, p e1006336 (2018)
PLoS Computational Biology
PLoS Computational Biology
Stochastic simulation has been a powerful tool for studying the dynamics of gene regulatory networks, particularly in terms of understanding how cell-phenotype stability and fate-transitions are impacted by noisy gene expression. However, gene networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e8c04f05baad9636bbdb7f0b734a817
http://europepmc.org/articles/PMC6093701?pdf=render
http://europepmc.org/articles/PMC6093701?pdf=render
Publikováno v:
Biophysical journal, vol 109, iss 8
Gene regulatory networks are multistable dynamical systems in which attractor states represent cell phenotypes. Spontaneous, noise-induced transitions between these states are thought to underlie critical cellular processes, including cell developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c07bc5e41899575444c11d13a8aacf46
https://europepmc.org/articles/PMC4624158/
https://europepmc.org/articles/PMC4624158/
Publikováno v:
Biophysical Journal. 110:494a-495a
Nonlinear interactions in gene regulatory networks (GRNs) give rise to multiple steady states, where attractor states represent stable gene expression profiles, or cell phenotypes. Phenotypic changes such as differentiation, reprogramming, and carcin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acacdf652ff81d1ddce97e38c1f19006
https://doi.org/10.1016/j.bpj.2015.11.2645
https://doi.org/10.1016/j.bpj.2015.11.2645
Publikováno v:
The Review of scientific instruments. 83(8)
We describe a sample-processing micro-reactor that utilizes 60 GHz RF radiation with approximately 730 mW of output power. The instrument design and performance characterization are described and then illustrated with modeling and experimental studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee5ba00e46b5b4a089cef222c46c13e
https://pubmed.ncbi.nlm.nih.gov/22938313
https://pubmed.ncbi.nlm.nih.gov/22938313