Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California

Seasonal patterns of molecular markers in humans have not been extensively studied. Here, the authors combine host components (transcriptome, metabolome, proteome, immunome, clinical lab tests) and microbiome to profile 105 individuals, identifying over 1000 markers in two major seasonal patterns.

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Autores principales: M. Reza Sailani, Ahmed A. Metwally, Wenyu Zhou, Sophia Miryam Schüssler-Fiorenza Rose, Sara Ahadi, Kevin Contrepois, Tejaswini Mishra, Martin Jinye Zhang, Łukasz Kidziński, Theodore J. Chu, Michael P. Snyder
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/ddc432f20446470bb531abbb22c0ed26
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spelling oai:doaj.org-article:ddc432f20446470bb531abbb22c0ed262021-12-02T17:18:25ZDeep longitudinal multiomics profiling reveals two biological seasonal patterns in California10.1038/s41467-020-18758-12041-1723https://doaj.org/article/ddc432f20446470bb531abbb22c0ed262020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18758-1https://doaj.org/toc/2041-1723Seasonal patterns of molecular markers in humans have not been extensively studied. Here, the authors combine host components (transcriptome, metabolome, proteome, immunome, clinical lab tests) and microbiome to profile 105 individuals, identifying over 1000 markers in two major seasonal patterns.M. Reza SailaniAhmed A. MetwallyWenyu ZhouSophia Miryam Schüssler-Fiorenza RoseSara AhadiKevin ContrepoisTejaswini MishraMartin Jinye ZhangŁukasz KidzińskiTheodore J. ChuMichael P. SnyderNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
M. Reza Sailani
Ahmed A. Metwally
Wenyu Zhou
Sophia Miryam Schüssler-Fiorenza Rose
Sara Ahadi
Kevin Contrepois
Tejaswini Mishra
Martin Jinye Zhang
Łukasz Kidziński
Theodore J. Chu
Michael P. Snyder
Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
description Seasonal patterns of molecular markers in humans have not been extensively studied. Here, the authors combine host components (transcriptome, metabolome, proteome, immunome, clinical lab tests) and microbiome to profile 105 individuals, identifying over 1000 markers in two major seasonal patterns.
format article
author M. Reza Sailani
Ahmed A. Metwally
Wenyu Zhou
Sophia Miryam Schüssler-Fiorenza Rose
Sara Ahadi
Kevin Contrepois
Tejaswini Mishra
Martin Jinye Zhang
Łukasz Kidziński
Theodore J. Chu
Michael P. Snyder
author_facet M. Reza Sailani
Ahmed A. Metwally
Wenyu Zhou
Sophia Miryam Schüssler-Fiorenza Rose
Sara Ahadi
Kevin Contrepois
Tejaswini Mishra
Martin Jinye Zhang
Łukasz Kidziński
Theodore J. Chu
Michael P. Snyder
author_sort M. Reza Sailani
title Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
title_short Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
title_full Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
title_fullStr Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
title_full_unstemmed Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
title_sort deep longitudinal multiomics profiling reveals two biological seasonal patterns in california
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/ddc432f20446470bb531abbb22c0ed26
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