Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process

How epigenetics coordinate with genetics to impact protein fitness is unknown. Here, using a Variation Spatial Profiling strategy and machine learning, the authors map HDAC impact on a full set of Niemann pick C1 disease variants to quantitate an unanticipated plasticity in central dogma.

Bibliographic Details
Main Authors:	Chao Wang, Samantha M. Scott, Kanagaraj Subramanian, Salvatore Loguercio, Pei Zhao, Darren M. Hutt, Nicole Y. Farhat, Forbes D. Porter, William E. Balch
Format:	Article
Language:	English
Published:	Nature Publishing Group 2019-11-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-12969-x

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spelling	doaj-cdd46cddd7bd45bbba719375caab04d42021-05-11T11:41:19ZengNature Publishing GroupNature Communications2041-17232019-11-0110111510.1038/s41467-019-12969-xQuantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian processChao Wang0Samantha M. Scott1Kanagaraj Subramanian2Salvatore Loguercio3Pei Zhao4Darren M. Hutt5Nicole Y. Farhat6Forbes D. Porter7William E. Balch8Department of Molecular Medicine, Scripps ResearchDepartment of Molecular Medicine, Scripps ResearchDepartment of Molecular Medicine, Scripps ResearchDepartment of Molecular Medicine, Scripps ResearchDepartment of Molecular Medicine, Scripps ResearchDepartment of Molecular Medicine, Scripps ResearchSection on Molecular Dysmorphology, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of HealthSection on Molecular Dysmorphology, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of HealthDepartment of Molecular Medicine, Scripps ResearchHow epigenetics coordinate with genetics to impact protein fitness is unknown. Here, using a Variation Spatial Profiling strategy and machine learning, the authors map HDAC impact on a full set of Niemann pick C1 disease variants to quantitate an unanticipated plasticity in central dogma.https://doi.org/10.1038/s41467-019-12969-x
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Chao Wang Samantha M. Scott Kanagaraj Subramanian Salvatore Loguercio Pei Zhao Darren M. Hutt Nicole Y. Farhat Forbes D. Porter William E. Balch
spellingShingle	Chao Wang Samantha M. Scott Kanagaraj Subramanian Salvatore Loguercio Pei Zhao Darren M. Hutt Nicole Y. Farhat Forbes D. Porter William E. Balch Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process Nature Communications
author_facet	Chao Wang Samantha M. Scott Kanagaraj Subramanian Salvatore Loguercio Pei Zhao Darren M. Hutt Nicole Y. Farhat Forbes D. Porter William E. Balch
author_sort	Chao Wang
title	Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process
title_short	Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process
title_full	Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process
title_fullStr	Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process
title_full_unstemmed	Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process
title_sort	quantitating the epigenetic transformation contributing to cholesterol homeostasis using gaussian process
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2019-11-01
description	How epigenetics coordinate with genetics to impact protein fitness is unknown. Here, using a Variation Spatial Profiling strategy and machine learning, the authors map HDAC impact on a full set of Niemann pick C1 disease variants to quantitate an unanticipated plasticity in central dogma.
url	https://doi.org/10.1038/s41467-019-12969-x
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Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process

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