Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Eric D Siggia"'
Autor:
Anna Yoney, Fred Etoc, Albert Ruzo, Thomas Carroll, Jakob J Metzger, Iain Martyn, Shu Li, Christoph Kirst, Eric D Siggia, Ali H Brivanlou
Publikováno v:
eLife, Vol 7 (2018)
Self-organization of discrete fates in human gastruloids is mediated by a hierarchy of signaling pathways. How these pathways are integrated in time, and whether cells maintain a memory of their signaling history remains obscure. Here, we dissect the
Externí odkaz:
https://doaj.org/article/f63cd96773234a5c94c1350230c6fbcc
Autor:
Sophie M Morgani, Jakob J Metzger, Jennifer Nichols, Eric D Siggia, Anna-Katerina Hadjantonakis
Publikováno v:
eLife, Vol 7 (2018)
During gastrulation epiblast cells exit pluripotency as they specify and spatially arrange the three germ layers of the embryo. Similarly, human pluripotent stem cells (PSCs) undergo spatially organized fate specification on micropatterned surfaces.
Externí odkaz:
https://doaj.org/article/8eea50c5e0f14b07bca739e2f1420f10
Autor:
Francis Corson, Eric D Siggia
Publikováno v:
eLife, Vol 6 (2017)
Models of cell function that assign a variable to each gene frequently lead to systems of equations with many parameters whose behavior is obscure. Geometric models reduce dynamics to intuitive pictorial elements that provide compact representations
Externí odkaz:
https://doaj.org/article/8ef30eca902e4f1da4aeaa19b68c7255
Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution.
Publikováno v:
PLoS Genetics, Vol 12, Iss 5, p e1006052 (2016)
Molecular evolution is an established technique for inferring gene homology but regulatory DNA turns over so rapidly that inference of ancestral networks is often impossible. In silico evolution is used to compute the most parsimonious path in regula
Externí odkaz:
https://doaj.org/article/9336b0595df5494ab2bbcd0d0ecf5c5f
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 7, p e1002585 (2012)
A temperature independent period and temperature entrainment are two defining features of circadian oscillators. A default model of distributed temperature compensation satisfies these basic facts yet is not easily reconciled with other properties of
Externí odkaz:
https://doaj.org/article/685794544e134a759cfad4bcaea96249
Publikováno v:
PLoS Biology, Vol 8, Iss 1, p e1000284 (2010)
Budding yeast cells irreversibly commit to a new division cycle at a regulatory transition called Start. This essential decision-making step involves the activation of the SBF/MBF transcription factors. SBF/MBF promote expression of the G1 cyclins en
Externí odkaz:
https://doaj.org/article/fec0d3b7d6f247138e084fe2257e878b
Publikováno v:
PLoS ONE, Vol 3, Iss 1, p e1468 (2008)
BACKGROUND:Imaging single cells with fluorescent markers over multiple cell cycles is a powerful tool for unraveling the mechanism and dynamics of the cell cycle. Over the past ten years, microfluidic techniques in cell biology have emerged that allo
Externí odkaz:
https://doaj.org/article/cc857e63d78a44c2af7fa53001e5474a
Publikováno v:
PLoS Computational Biology, Vol 1, Iss 7, p e67 (2005)
A central problem in the bioinformatics of gene regulation is to find the binding sites for regulatory proteins. One of the most promising approaches toward identifying these short and fuzzy sequence patterns is the comparative analysis of orthologou
Externí odkaz:
https://doaj.org/article/fc8c1c5d1315483591421b1f7a6f3bf3
Autor:
Mark D Schroeder, Michael Pearce, John Fak, HongQing Fan, Ulrich Unnerstall, Eldon Emberly, Nikolaus Rajewsky, Eric D Siggia, Ulrike Gaul
Publikováno v:
PLoS Biology, Vol 2, Iss 9, p E271 (2004)
The segmentation gene network of Drosophila consists of maternal and zygotic factors that generate, by transcriptional (cross-) regulation, expression patterns of increasing complexity along the anterior-posterior axis of the embryo. Using known bind
Externí odkaz:
https://doaj.org/article/29b71f1c2f3f4d3ab245b67961ff3b36
Autor:
Archishman Raju, Eric D. Siggia
Cell fate decisions emerge as a consequence of a complex set of gene regulatory networks. Models of these networks are known to have more parameters than data can determine. Recent work, inspired by Waddington's metaphor of a landscape, has instead t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2b1a3b1536c8ffd9a531c353df6b6de
