<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kuo CC</submitter><funding>NIA NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>873-884.e4</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8505362</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(9)</volume><pubmed_abstract>Amyloid disorders such as Alzheimer's disease (AD) involve the aggregation of secreted proteins. However, it is largely unclear how secretory-pathway proteins contribute to amyloid formation. We developed a systems biology framework integrating expression data with protein-protein interaction networks to estimate a tissue's fitness for producing specific secreted proteins and analyzed the fitness of the secretory pathway of various brain regions and cell types for synthesizing the AD-associated amyloid precursor protein (APP). While key amyloidogenic pathway components were not differentially expressed in AD brains, we found Aβ deposition correlates with systemic down- and upregulation of the secretory-pathway components proximal to APP and amyloidogenic secretases, respectively, in AD. Our analyses suggest that perturbations from three AD risk loci cascade through the APP secretory-support network and into the endocytosis pathway, connecting amyloidogenesis to dysregulation of secretory-pathway components supporting APP and suggesting novel therapeutic targets for AD. A record of this paper's transparent peer review process is included in the supplemental information.</pubmed_abstract><journal>Cell systems</journal><pubmed_title>Dysregulation of the secretory pathway connects Alzheimer's disease genetics to aggregate formation.</pubmed_title><pmcid>PMC8505362</pmcid><funding_grant_id>R01 AG015819</funding_grant_id><funding_grant_id>R01 AG030146</funding_grant_id><funding_grant_id>U01 AG046152</funding_grant_id><funding_grant_id>R01 AG036836</funding_grant_id><funding_grant_id>P30 AG010161</funding_grant_id><funding_grant_id>U01 AG032984</funding_grant_id><funding_grant_id>R35 GM119850</funding_grant_id><funding_grant_id>R01 AG017917</funding_grant_id><pubmed_authors>Kuo CC</pubmed_authors><pubmed_authors>Lewis NE</pubmed_authors><pubmed_authors>Baghdassarian HM</pubmed_authors><pubmed_authors>Chiang AWT</pubmed_authors></additional><is_claimable>false</is_claimable><name>Dysregulation of the secretory pathway connects Alzheimer's disease genetics to aggregate formation.</name><description>Amyloid disorders such as Alzheimer's disease (AD) involve the aggregation of secreted proteins. However, it is largely unclear how secretory-pathway proteins contribute to amyloid formation. We developed a systems biology framework integrating expression data with protein-protein interaction networks to estimate a tissue's fitness for producing specific secreted proteins and analyzed the fitness of the secretory pathway of various brain regions and cell types for synthesizing the AD-associated amyloid precursor protein (APP). While key amyloidogenic pathway components were not differentially expressed in AD brains, we found Aβ deposition correlates with systemic down- and upregulation of the secretory-pathway components proximal to APP and amyloidogenic secretases, respectively, in AD. Our analyses suggest that perturbations from three AD risk loci cascade through the APP secretory-support network and into the endocytosis pathway, connecting amyloidogenesis to dysregulation of secretory-pathway components supporting APP and suggesting novel therapeutic targets for AD. A record of this paper's transparent peer review process is included in the supplemental information.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Sep</publication><modification>2024-11-15T20:15:19.702Z</modification><creation>2024-11-15T20:15:19.702Z</creation></dates><accession>S-EPMC8505362</accession><cross_references><pubmed>34171228</pubmed><doi>10.1016/j.cels.2021.06.001</doi></cross_references></HashMap>