Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Vijay Chickarmane"'
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 5, p e1001128 (2011)
Mammalian embryogenesis is a dynamic process involving gene expression and mechanical forces between proliferating cells. The exact nature of these interactions, which determine the lineage patterning of the trophectoderm and endoderm tissues occurri
Externí odkaz:
https://doaj.org/article/8fbe02b190da43f1b234c8d9d4674bcd
Autor:
Adrienne H K Roeder, Vijay Chickarmane, Alexandre Cunha, Boguslaw Obara, B S Manjunath, Elliot M Meyerowitz
Publikováno v:
PLoS Biology, Vol 8, Iss 5, p e1000367 (2010)
How growth and proliferation are precisely controlled in organs during development and how the regulation of cell division contributes to the formation of complex cell type patterns are important questions in developmental biology. Such a pattern of
Externí odkaz:
https://doaj.org/article/706408dc2c05492289e66a164be242c7
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 1, p e1000268 (2009)
Hematopoietic stem cell lineage choices are decided by genetic networks that are turned ON/OFF in a switch-like manner. However, prior to lineage commitment, genes are primed at low expression levels. Understanding the underlying molecular circuitry
Externí odkaz:
https://doaj.org/article/55d930f78a3642a9894d41bab12ccca0
A computational model for understanding stem cell, trophectoderm and endoderm lineage determination.
Autor:
Vijay Chickarmane, Carsten Peterson
Publikováno v:
PLoS ONE, Vol 3, Iss 10, p e3478 (2008)
Recent studies have associated the transcription factors, Oct4, Sox2 and Nanog as parts of a self-regulating network which is responsible for maintaining embryonic stem cell properties: self renewal and pluripotency. In addition, mutual antagonism be
Externí odkaz:
https://doaj.org/article/a418ea56965244b498feafa94b48df64
Publikováno v:
PLoS Computational Biology, Vol 2, Iss 9, p e123 (2006)
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the transcription factors OCT4, SOX2, and NANOG. In additi
Externí odkaz:
https://doaj.org/article/a05808d19688458dbc0d3dae71e8dd7c
Publikováno v:
Current Opinion in Genetics & Development. 22:613-618
Recent advances in live imaging and genetics of mammalian development which integrate observations of biochemical activity, cell-cell signaling and mechanical interactions between cells pave the way for predictive mathematical multi-scale modeling. I
Publikováno v:
Proceedings of the National Academy of Sciences. 109:4002-4007
The transcription factor WUSCHEL (WUS) acts from a well-defined domain within the Arabidopsis thaliana shoot apical meristem (SAM) to maintain a stem cell niche. A negative-feedback loop involving the CLAVATA (CLV) signaling pathway regulates the num
Autor:
Elliot M. Meyerowitz, Alexandre Cunha, Paul T. Tarr, Cory Tobin, Vijay Chickarmane, Adrienne H. K. Roeder
Publikováno v:
Annual Review of Plant Biology. 61:65-87
Computational morphodynamics utilizes computer modeling to understand the development of living organisms over space and time. Results from biological experiments are used to construct accurate and predictive models of growth. These models are then u
Publikováno v:
Proceedings of the National Academy of Sciences. 106:16529-16534
A central unanswered question in stem cell biology, both in plants and in animals, is how the spatial organization of stem cell niches are maintained as cells move through them. We address this question for the shoot apical meristem (SAM) which harbo
Autor:
F. M. G. Magpantay, Kevin M. Crofton, Daniel M. Rotroff, Ruili Huang, Thomas B. Knudsen, Keith A. Houck, Matthew T. Martin, Russell S. Thomas, Cymra Haskell, R. Woodrow Setzer, Kamel Mansouri, Jean E. Taylor, Vijay Chickarmane, Richard S. Judson, Dayne L. Filer, Ann M. Richard, Menghang Xia, Nisha S. Sipes, Nessy Tania
Publikováno v:
Toxicological sciences : an official journal of the Society of Toxicology. 148(1)
We demonstrate a computational network model that integrates 18 in vitro, high-throughput screening assays measuring estrogen receptor (ER) binding, dimerization, chromatin binding, transcriptional activation, and ER-dependent cell proliferation. The