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A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
We initiated the systematic profiling of the dorsolateral prefrontal cortex obtained from a subset of autopsied individuals enrolled in the Religious Orders Study (ROS) or the Rush Memory and Aging Project (MAP), which are jointly designed prospective studies of aging and dementia with detailed, lon...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080491/ https://www.ncbi.nlm.nih.gov/pubmed/30084846 http://dx.doi.org/10.1038/sdata.2018.142 |
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author | De Jager, Philip L. Ma, Yiyi McCabe, Cristin Xu, Jishu Vardarajan, Badri N. Felsky, Daniel Klein, Hans-Ulrich White, Charles C. Peters, Mette A. Lodgson, Ben Nejad, Parham Tang, Anna Mangravite, Lara M. Yu, Lei Gaiteri, Chris Mostafavi, Sara Schneider, Julie A. Bennett, David A. |
author_facet | De Jager, Philip L. Ma, Yiyi McCabe, Cristin Xu, Jishu Vardarajan, Badri N. Felsky, Daniel Klein, Hans-Ulrich White, Charles C. Peters, Mette A. Lodgson, Ben Nejad, Parham Tang, Anna Mangravite, Lara M. Yu, Lei Gaiteri, Chris Mostafavi, Sara Schneider, Julie A. Bennett, David A. |
author_sort | De Jager, Philip L. |
collection | PubMed |
description | We initiated the systematic profiling of the dorsolateral prefrontal cortex obtained from a subset of autopsied individuals enrolled in the Religious Orders Study (ROS) or the Rush Memory and Aging Project (MAP), which are jointly designed prospective studies of aging and dementia with detailed, longitudinal cognitive phenotyping during life and a quantitative, structured neuropathologic examination after death. They include over 3,322 subjects. Here, we outline the first generation of data including genome-wide genotypes (n=2,090), whole genome sequencing (n=1,179), DNA methylation (n=740), chromatin immunoprecipitation with sequencing using an anti-Histone 3 Lysine 9 acetylation (H3K9Ac) antibody (n=712), RNA sequencing (n=638), and miRNA profile (n=702). Generation of other omic data including ATACseq, proteomic and metabolomics profiles is ongoing. Thanks to its prospective design and recruitment of older, non-demented individuals, these data can be repurposed to investigate a large number of syndromic and quantitative neuroscience phenotypes. The many subjects that are cognitively non-impaired at death also offer insights into the biology of the human brain in older non-impaired individuals. |
format | Online Article Text |
id | pubmed-6080491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60804912018-08-16 A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research De Jager, Philip L. Ma, Yiyi McCabe, Cristin Xu, Jishu Vardarajan, Badri N. Felsky, Daniel Klein, Hans-Ulrich White, Charles C. Peters, Mette A. Lodgson, Ben Nejad, Parham Tang, Anna Mangravite, Lara M. Yu, Lei Gaiteri, Chris Mostafavi, Sara Schneider, Julie A. Bennett, David A. Sci Data Data Descriptor We initiated the systematic profiling of the dorsolateral prefrontal cortex obtained from a subset of autopsied individuals enrolled in the Religious Orders Study (ROS) or the Rush Memory and Aging Project (MAP), which are jointly designed prospective studies of aging and dementia with detailed, longitudinal cognitive phenotyping during life and a quantitative, structured neuropathologic examination after death. They include over 3,322 subjects. Here, we outline the first generation of data including genome-wide genotypes (n=2,090), whole genome sequencing (n=1,179), DNA methylation (n=740), chromatin immunoprecipitation with sequencing using an anti-Histone 3 Lysine 9 acetylation (H3K9Ac) antibody (n=712), RNA sequencing (n=638), and miRNA profile (n=702). Generation of other omic data including ATACseq, proteomic and metabolomics profiles is ongoing. Thanks to its prospective design and recruitment of older, non-demented individuals, these data can be repurposed to investigate a large number of syndromic and quantitative neuroscience phenotypes. The many subjects that are cognitively non-impaired at death also offer insights into the biology of the human brain in older non-impaired individuals. Nature Publishing Group 2018-08-07 /pmc/articles/PMC6080491/ /pubmed/30084846 http://dx.doi.org/10.1038/sdata.2018.142 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor De Jager, Philip L. Ma, Yiyi McCabe, Cristin Xu, Jishu Vardarajan, Badri N. Felsky, Daniel Klein, Hans-Ulrich White, Charles C. Peters, Mette A. Lodgson, Ben Nejad, Parham Tang, Anna Mangravite, Lara M. Yu, Lei Gaiteri, Chris Mostafavi, Sara Schneider, Julie A. Bennett, David A. A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research |
title | A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research |
title_full | A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research |
title_fullStr | A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research |
title_full_unstemmed | A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research |
title_short | A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research |
title_sort | multi-omic atlas of the human frontal cortex for aging and alzheimer’s disease research |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080491/ https://www.ncbi.nlm.nih.gov/pubmed/30084846 http://dx.doi.org/10.1038/sdata.2018.142 |
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