M
Michael Snyder
Researcher at Stanford University
Publications - 938
Citations - 150929
Michael Snyder is an academic researcher from Stanford University. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 169, co-authored 840 publications receiving 130225 citations. Previous affiliations of Michael Snyder include Wyss Institute for Biologically Inspired Engineering & Public Health Research Institute.
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Journal ArticleDOI
Fetal de novo mutations and preterm birth.
TL;DR: A new mechanism in PTB occurrence independently contributed from fetal genomes is indicated, and thus opens a new avenue for future PTB research.
Journal ArticleDOI
Mutations in PRG1, a yeast proteasome-related gene, cause defects in nuclear division and are suppressed by deletion of a mitotic cyclin gene.
Haya Friedman,Michael Snyder +1 more
TL;DR: It is suggested that proteasomes are important for nuclear division and suggest that they participate in degradation of the Clb2 protein (Clb2p).
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Global, distinctive, and personal changes in molecular and microbial profiles by specific fibers in humans.
Samuel M. Lancaster,Brittany Lee-McMullen,Charles Abbott,Jeniffer Quijada,Daniel Hornburg,Heyjun Park,Dalia Perelman,Dylan J. Peterson,Michael Tang,Aaron Robinson,Sara Ahadi,Kévin Contrepois,Chia-Jiu Hung,Melanie Ashland,Tracey McLaughlin,Anna Boonyanit,Aaron M. Horning,Justin L. Sonnenburg,Michael Snyder +18 more
TL;DR: Chutkan et al. as discussed by the authors investigated the health benefits of dietary fiber supplementation and found that fiber consumption associated with a significant reduction in LDL and an increase in bile acids, contributing to its observed cholesterol reduction.
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Natural Selection Has Differentiated the Progesterone Receptor among Human Populations.
Jingjing Li,Xiumei Hong,Sam Mesiano,Louis J. Muglia,Xiaobin Wang,Michael Snyder,David K. Stevenson,Gary M. Shaw +7 more
TL;DR: Substantial evolutionary innovation in PGR is revealed even during very recent human evolution, and its different forms among human populations likely result in differential susceptibility to progesterone-associated disease conditions including preterm birth.
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Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California.
M. Reza Sailani,Ahmed A. Metwally,Wenyu Zhou,Sophia Miryam Schüssler-Fiorenza Rose,Sara Ahadi,Kévin Contrepois,Tejaswini Mishra,Martin J. Zhang,Łukasz Kidziński,Theodore J. Chu,Michael Snyder +10 more
TL;DR: The results of this study identify molecules and microbes that demonstrate different seasonal patterns in insulin sensitive and insulin resistant individuals and highlight the value of considering seasonality when assessing population wide health risk and management.