Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification

Clinical and molecular heterogeneity of ulcerative colitis presents unresolved challenges to identify predictive biomarkers of response to therapies. Here, the authors combine mouse colitis time course with patient biopsy transcriptomes, achieving unsupervised clustering of UC patients correlating w...

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Autores principales:	Paulo Czarnewski, Sara M. Parigi, Chiara Sorini, Oscar E. Diaz, Srustidhar Das, Nicola Gagliani, Eduardo J. Villablanca
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d46d311b84244bbf8766ebda31a8df22
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spelling	oai:doaj.org-article:d46d311b84244bbf8766ebda31a8df222021-12-02T16:57:08ZConserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification10.1038/s41467-019-10769-x2041-1723https://doaj.org/article/d46d311b84244bbf8766ebda31a8df222019-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10769-xhttps://doaj.org/toc/2041-1723Clinical and molecular heterogeneity of ulcerative colitis presents unresolved challenges to identify predictive biomarkers of response to therapies. Here, the authors combine mouse colitis time course with patient biopsy transcriptomes, achieving unsupervised clustering of UC patients correlating with therapeutic outcomes in independent data sets.Paulo CzarnewskiSara M. ParigiChiara SoriniOscar E. DiazSrustidhar DasNicola GaglianiEduardo J. VillablancaNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Paulo Czarnewski Sara M. Parigi Chiara Sorini Oscar E. Diaz Srustidhar Das Nicola Gagliani Eduardo J. Villablanca Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification
description	Clinical and molecular heterogeneity of ulcerative colitis presents unresolved challenges to identify predictive biomarkers of response to therapies. Here, the authors combine mouse colitis time course with patient biopsy transcriptomes, achieving unsupervised clustering of UC patients correlating with therapeutic outcomes in independent data sets.
format	article
author	Paulo Czarnewski Sara M. Parigi Chiara Sorini Oscar E. Diaz Srustidhar Das Nicola Gagliani Eduardo J. Villablanca
author_facet	Paulo Czarnewski Sara M. Parigi Chiara Sorini Oscar E. Diaz Srustidhar Das Nicola Gagliani Eduardo J. Villablanca
author_sort	Paulo Czarnewski
title	Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification
title_short	Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification
title_full	Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification
title_fullStr	Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification
title_full_unstemmed	Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification
title_sort	conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/d46d311b84244bbf8766ebda31a8df22
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_version_	1718382649575211008

Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification

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