<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang D</submitter><funding>Natural Science Foundation of Fujian Province</funding><funding>National Natural Science Foundation of China</funding><funding>The Joint Funds for the Innovation of Science and Technology</funding><pagination>e70065</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11442333</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>30(10)</volume><pubmed_abstract>&lt;h4>Aims&lt;/h4>Previous proteomics studies in dysferlinopathy muscle have been limited in scope, often utilizing 2D-electrophoresis and yielding only a small number of differential expression calls. To address this gap, this study aimed to employ high-resolution proteomics to explore the proteomic landscapes of dysferlinopathy and analyze the correlation between muscle pathological changes and alterations in protein expression in muscle biopsies.&lt;h4>Methods&lt;/h4>We conducted a comprehensive approach to investigate the proteomic profile and disease-associated changes in the muscle tissue proteome from 15 patients with dysferlinopathy, exhibiting varying degrees of dystrophic pathology, alongside age-matched controls. Our methodology encompasses tandem mass tag (TMT)-labeled liquid chromatograp</pubmed_abstract><journal>CNS neuroscience &amp; therapeutics</journal><pubmed_title>Comprehensive Proteomic Analysis of Dysferlinopathy Unveiling Molecular Mechanisms and Biomarkers Linked to Pathological Progression.</pubmed_title><pmcid>PMC11442333</pmcid><funding_grant_id>2020Y9122</funding_grant_id><funding_grant_id>82101471</funding_grant_id><funding_grant_id>81701242</funding_grant_id><funding_grant_id>2023J01620</funding_grant_id><pubmed_authors>Zheng Y</pubmed_authors><pubmed_authors>Liu XY</pubmed_authors><pubmed_authors>Wang D</pubmed_authors><pubmed_authors>Chen L</pubmed_authors><pubmed_authors>Lin X</pubmed_authors><pubmed_authors>Zheng FZ</pubmed_authors><pubmed_authors>Zeng MH</pubmed_authors><pubmed_authors>Wang N</pubmed_authors><pubmed_authors>Lin YH</pubmed_authors><pubmed_authors>Wang ZQ</pubmed_authors><pubmed_authors>Lin F</pubmed_authors><pubmed_authors>Lin MT</pubmed_authors><pubmed_authors>He QF</pubmed_authors><pubmed_authors>Chen HZ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive Proteomic Analysis of Dysferlinopathy Unveiling Molecular Mechanisms and Biomarkers Linked to Pathological Progression.</name><description>&lt;h4>Aims&lt;/h4>Previous proteomics studies in dysferlinopathy muscle have been limited in scope, often utilizing 2D-electrophoresis and yielding only a small number of differential expression calls. To address this gap, this study aimed to employ high-resolution proteomics to explore the proteomic landscapes of dysferlinopathy and analyze the correlation between muscle pathological changes and alterations in protein expression in muscle biopsies.&lt;h4>Methods&lt;/h4>We conducted a comprehensive approach to investigate the proteomic profile and disease-associated changes in the muscle tissue proteome from 15 patients with dysferlinopathy, exhibiting varying degrees of dystrophic pathology, alongside age-matched controls. Our methodology encompasses tandem mass tag (TMT)-labeled liquid chromatograp</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2026-07-15T05:36:15.885Z</modification><creation>2025-04-04T19:39:31.992Z</creation></dates><accession>S-EPMC11442333</accession><cross_references><pubmed>39350328</pubmed><doi>10.1111/cns.70065</doi></cross_references></HashMap>