<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Johnson ECB</submitter><funding>BLRD VA</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute of Neurological Disorders and Stroke</funding><funding>NIA NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute on Aging</funding><funding>Arizona Department of Health Services</funding><funding>NINDS NIH HHS</funding><funding>U.S. Department of Veterans Affairs</funding><funding>ADHS | Arizona Biomedical Research Commission</funding><funding>Michael J. Fox Foundation for Parkinson’s Research</funding><pagination>213-225</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8825285</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(2)</volume><pubmed_abstract>The biological processes that are disrupted in the Alzheimer's disease (AD) brain remain incompletely understood. In this study, we analyzed the proteomes of more than 1,000 brain tissues to reveal new AD-related protein co-expression modules that were highly preserved across cohorts and brain regions. Nearly half of the protein co-expression modules, including modules significantly altered in AD, were not observed in RNA networks from the same cohorts and brain regions, highlighting the proteopathic nature of AD. Two such AD-associated modules unique to the proteomic network included a module related to MAPK signaling and metabolism and a module related to the matrisome. The matrisome module was influenced by the APOE ε4 allele but was not related to the rate of cognitive decline after ad</pubmed_abstract><journal>Nature neuroscience</journal><pubmed_title>Large-scale deep multi-layer analysis of Alzheimer's disease brain reveals strong proteomic disease-related changes not observed at the RNA level.</pubmed_title><pmcid>PMC8825285</pmcid><funding_grant_id>K08AG068604</funding_grant_id><funding_grant_id>R01 AG057911</funding_grant_id><funding_grant_id>RF1 AG057440</funding_grant_id><funding_grant_id>P30 AG066514</funding_grant_id><funding_grant_id>BX005219</funding_grant_id><funding_grant_id>R01AG053960</funding_grant_id><funding_grant_id>U24NS072026</funding_grant_id><funding_grant_id>IK4 BX005219</funding_grant_id><funding_grant_id>R01AG057911</funding_grant_id><funding_grant_id>K08 AG068604</funding_grant_id><funding_grant_id>P30 AG019610</funding_grant_id><funding_grant_id>R56 AG062633</funding_grant_id><funding_grant_id>U01 AG046170</funding_grant_id><funding_grant_id>U54 AG054345</funding_grant_id><funding_grant_id>RF1AG057440</funding_grant_id><funding_grant_id>R01 AG061800</funding_grant_id><funding_grant_id>U01AG046170</funding_grant_id><funding_grant_id>P30 AG010161</funding_grant_id><funding_grant_id>R01 AG053960</funding_grant_id><funding_grant_id>RF1 AG059319</funding_grant_id><funding_grant_id>P30 AG066511</funding_grant_id><funding_grant_id>211002</funding_grant_id><funding_grant_id>4001, 0011, 05-901 and 1001</funding_grant_id><funding_grant_id>R01 AG015819</funding_grant_id><funding_grant_id>U01 AG061356</funding_grant_id><funding_grant_id>P30AG19610</funding_grant_id><funding_grant_id>U01 AG061357</funding_grant_id><funding_grant_id>U01AG61356</funding_grant_id><funding_grant_id>P30 AG072980</funding_grant_id><funding_grant_id>U01AG061357</funding_grant_id><funding_grant_id>P30AG10161</funding_grant_id><funding_grant_id>R01AG056533</funding_grant_id><funding_grant_id>RF1AG062181</funding_grant_id><funding_grant_id>U24 NS072026</funding_grant_id><funding_grant_id>P30 AG072975</funding_grant_id><funding_grant_id>RF1 AG057470</funding_grant_id><funding_grant_id>RF1 AG057471</funding_grant_id><funding_grant_id>P50 AG025688</funding_grant_id><funding_grant_id>RF1 AG062181</funding_grant_id><funding_grant_id>R01 AG056533</funding_grant_id><funding_grant_id>U54AG065187</funding_grant_id><funding_grant_id>R01AG061800</funding_grant_id><funding_grant_id>R01AG01581</funding_grant_id><funding_grant_id>R01 AG061798</funding_grant_id><funding_grant_id>U54 AG065187</funding_grant_id><funding_grant_id>R01 AG017917</funding_grant_id><funding_grant_id>RF1AG057470</funding_grant_id><funding_grant_id>R01AG17917</funding_grant_id><funding_grant_id>R01AG15819</funding_grant_id><pubmed_authors>Ping L</pubmed_authors><pubmed_authors>Duong DM</pubmed_authors><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Wingo AP</pubmed_authors><pubmed_authors>Levey AI</pubmed_authors><pubmed_authors>Gaiteri C</pubmed_authors><pubmed_authors>Serrano GE</pubmed_authors><pubmed_authors>Carter EK</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Betarbet R</pubmed_authors><pubmed_authors>Gearing M</pubmed_authors><pubmed_authors>Seyfried NT</pubmed_authors><pubmed_authors>Wingo TS</pubmed_authors><pubmed_authors>Gerasimov ES</pubmed_authors><pubmed_authors>Bennett DA</pubmed_authors><pubmed_authors>Haroutunian V</pubmed_authors><pubmed_authors>Dammer EB</pubmed_authors><pubmed_authors>Beach TG</pubmed_authors><pubmed_authors>Lah JJ</pubmed_authors><pubmed_authors>Johnson ECB</pubmed_authors><pubmed_authors>Yin L</pubmed_authors><pubmed_authors>Zhang B</pubmed_authors><pubmed_authors>Peng J</pubmed_authors><pubmed_authors>De Jager PL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Large-scale deep multi-layer analysis of Alzheimer's disease brain reveals strong proteomic disease-related changes not observed at the RNA level.</name><description>The biological processes that are disrupted in the Alzheimer's disease (AD) brain remain incompletely understood. In this study, we analyzed the proteomes of more than 1,000 brain tissues to reveal new AD-related protein co-expression modules that were highly preserved across cohorts and brain regions. Nearly half of the protein co-expression modules, including modules significantly altered in AD, were not observed in RNA networks from the same cohorts and brain regions, highlighting the proteopathic nature of AD. Two such AD-associated modules unique to the proteomic network included a module related to MAPK signaling and metabolism and a module related to the matrisome. The matrisome module was influenced by the APOE ε4 allele but was not related to the rate of cognitive decline after ad</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Feb</publication><modification>2026-05-31T05:01:43.006Z</modification><creation>2025-02-19T01:53:50.114Z</creation></dates><accession>S-EPMC8825285</accession><cross_references><pubmed>35115731</pubmed><doi>10.1038/s41593-021-00999-y</doi></cross_references></HashMap>