<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Gomez-Garre P</submitter><funding>Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III)</funding><funding>Ministerio de Educación, Cultura y Deporte (Ministry of Education, Culture and Sports, Spain)</funding><funding>EC | EU Framework Programme for Research and Innovation H2020 | H2020 Euratom (H2020 Euratom Research and Training Programme 2014-2018)</funding><pagination>157</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9653420</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(1)</volume><pubmed_abstract>Transcriptomics in Parkinson's disease (PD) offers new insights into the molecular mechanism of PD pathogenesis. Several pathways, such as inflammation and protein degradation, have been identified by differential gene expression analysis. Our aim was to identify gene expression differences underlying the disease etiology and the discovery of pre-symptomatic risk biomarkers for PD from a multicenter study in the context of the PROPAG-AGEING project. We performed RNA sequencing from 47 patients with de novo PD, 10 centenarians, and 65 healthy controls. Using identified differentially expressed genes, functional annotations were assigned using gene ontology to unveil significant enriched biological processes. The expression of 16 selected genes was validated using OpenArray® assays and sampl</pubmed_abstract><journal>NPJ Parkinson's disease</journal><pubmed_title>Transcriptomic analysis reveals an association of FCGBP with Parkinson's disease.</pubmed_title><pmcid>PMC9653420</pmcid><funding_grant_id>B-0007-2019</funding_grant_id><funding_grant_id>FPU16/05061</funding_grant_id><funding_grant_id>634821</funding_grant_id><pubmed_authors>Garagnani P</pubmed_authors><pubmed_authors>Provini F</pubmed_authors><pubmed_authors>Mollenhauer B</pubmed_authors><pubmed_authors>Trenkwalder C</pubmed_authors><pubmed_authors>Mir P</pubmed_authors><pubmed_authors>Bacalini MG</pubmed_authors><pubmed_authors>Pirazzini C</pubmed_authors><pubmed_authors>Jesus S</pubmed_authors><pubmed_authors>Gomez-Garre P</pubmed_authors><pubmed_authors>Perinan MT</pubmed_authors><pubmed_authors>Franceschi C</pubmed_authors><pubmed_authors>PROPAG-AGEING consortium</pubmed_authors></additional><is_claimable>false</is_claimable><name>Transcriptomic analysis reveals an association of FCGBP with Parkinson's disease.</name><description>Transcriptomics in Parkinson's disease (PD) offers new insights into the molecular mechanism of PD pathogenesis. Several pathways, such as inflammation and protein degradation, have been identified by differential gene expression analysis. Our aim was to identify gene expression differences underlying the disease etiology and the discovery of pre-symptomatic risk biomarkers for PD from a multicenter study in the context of the PROPAG-AGEING project. We performed RNA sequencing from 47 patients with de novo PD, 10 centenarians, and 65 healthy controls. Using identified differentially expressed genes, functional annotations were assigned using gene ontology to unveil significant enriched biological processes. The expression of 16 selected genes was validated using OpenArray® assays and sampl</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2025-04-22T12:31:56.587Z</modification><creation>2025-04-06T00:17:30.514Z</creation></dates><accession>S-EPMC9653420</accession><cross_references><pubmed>36371440</pubmed><doi>10.1038/s41531-022-00415-7</doi></cross_references></HashMap>