Integrating personalized gene expression profiles into predictive disease-associated gene pools

Molecular Medicine: Personalized expression profiles elucidate disease heterogeneity A comparison of gene expression profiles of different patients with the same disease reveals a combinatorial model for disease heterogeneity. A framework is developed to generalize group-wise differential expression...

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Autores principales:	Jörg Menche, Emre Guney, Amitabh Sharma, Patrick J. Branigan, Matthew J. Loza, Frédéric Baribaud, Radu Dobrin, Albert-László Barabási
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/edd0162ab2264d08b9f3fbaea8989ba2
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spelling	oai:doaj.org-article:edd0162ab2264d08b9f3fbaea8989ba22021-12-02T11:41:51ZIntegrating personalized gene expression profiles into predictive disease-associated gene pools10.1038/s41540-017-0009-02056-7189https://doaj.org/article/edd0162ab2264d08b9f3fbaea8989ba22017-03-01T00:00:00Zhttps://doi.org/10.1038/s41540-017-0009-0https://doaj.org/toc/2056-7189Molecular Medicine: Personalized expression profiles elucidate disease heterogeneity A comparison of gene expression profiles of different patients with the same disease reveals a combinatorial model for disease heterogeneity. A framework is developed to generalize group-wise differential expression profiles to personalized perturbation profiles (PEEPs) for individual subjects. It is shown that similarities among patients with the same disease cannot be attributed to a few widely shared genes, but arise from more complex patterns of pairwise overlaps that often correspond to perturbations within the same biological pathway. This points to the existence of a disease module, i.e. a broader group of functionally related genes whose perturbations are associated with the specific disease. The overlap of an individual’s PEEP with the disease module accurately predicts disease status, suggesting their potential for developing combinatorial biomarker signatures or identifying most widely effective drug targets.Jörg MencheEmre GuneyAmitabh SharmaPatrick J. BraniganMatthew J. LozaFrédéric BaribaudRadu DobrinAlbert-László BarabásiNature PortfolioarticleBiology (General)QH301-705.5ENnpj Systems Biology and Applications, Vol 3, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Jörg Menche Emre Guney Amitabh Sharma Patrick J. Branigan Matthew J. Loza Frédéric Baribaud Radu Dobrin Albert-László Barabási Integrating personalized gene expression profiles into predictive disease-associated gene pools
description	Molecular Medicine: Personalized expression profiles elucidate disease heterogeneity A comparison of gene expression profiles of different patients with the same disease reveals a combinatorial model for disease heterogeneity. A framework is developed to generalize group-wise differential expression profiles to personalized perturbation profiles (PEEPs) for individual subjects. It is shown that similarities among patients with the same disease cannot be attributed to a few widely shared genes, but arise from more complex patterns of pairwise overlaps that often correspond to perturbations within the same biological pathway. This points to the existence of a disease module, i.e. a broader group of functionally related genes whose perturbations are associated with the specific disease. The overlap of an individual’s PEEP with the disease module accurately predicts disease status, suggesting their potential for developing combinatorial biomarker signatures or identifying most widely effective drug targets.
format	article
author	Jörg Menche Emre Guney Amitabh Sharma Patrick J. Branigan Matthew J. Loza Frédéric Baribaud Radu Dobrin Albert-László Barabási
author_facet	Jörg Menche Emre Guney Amitabh Sharma Patrick J. Branigan Matthew J. Loza Frédéric Baribaud Radu Dobrin Albert-László Barabási
author_sort	Jörg Menche
title	Integrating personalized gene expression profiles into predictive disease-associated gene pools
title_short	Integrating personalized gene expression profiles into predictive disease-associated gene pools
title_full	Integrating personalized gene expression profiles into predictive disease-associated gene pools
title_fullStr	Integrating personalized gene expression profiles into predictive disease-associated gene pools
title_full_unstemmed	Integrating personalized gene expression profiles into predictive disease-associated gene pools
title_sort	integrating personalized gene expression profiles into predictive disease-associated gene pools
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/edd0162ab2264d08b9f3fbaea8989ba2
work_keys_str_mv	AT jorgmenche integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools AT emreguney integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools AT amitabhsharma integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools AT patrickjbranigan integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools AT matthewjloza integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools AT fredericbaribaud integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools AT radudobrin integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools AT albertlaszlobarabasi integratingpersonalizedgeneexpressionprofilesintopredictivediseaseassociatedgenepools
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Integrating personalized gene expression profiles into predictive disease-associated gene pools

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