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Autor
Brozka, Hana 1 Chen, Hao 1 Guarracino, Andrea 1 Kempermann, Gerd 1 Kong, Dehui 1 Lechner, Joseph 1 Li, Ling 1 Lu, Lu 1 Mancieri, Ariana 1 Mathur, Ramkumar 1 Peng, Junmin 1 Pravenec, Michal 1 Prins, Pjotr 1 Saba, Laura 1 Senko, Anna N 1 Stuchlik, Ales 1 Vales, Karel 1 Villani, Flavia 1 Wang, Xusheng 1 Williams, Robert W 1
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Pracoviště
Department of Developmental Neurobiology St ... 1 Department of Genetics Genomics and Informat... 1 Department of Geriatrics School of Medicine ... 1 Department of Microbiology and Immunology In... 1 Department of Neurology University of Tennes... 1 Department of Pediatrics and the Herman B We... 1 Department of Pharmaceutical Sciences Univer... 1 Department of Pharmacology Addiction Science... 1 Department of Structural Biology St Jude Chi... 1 Genomics of Regeneration of the Central Nerv... 1 Human Technopole Viale Rita Levi Montalcini ... 1 Institute of Physiology of the Czech Academy... 1
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Mathur, Ramkumar* Dotaz Zobrazit nápovědu
NLK
Directory of Open Access Journals
od 2018
PubMed Central
od 2018
Europe PubMed Central
od 2018
ROAD: Directory of Open Access Scholarly Resources
od 2018
PubMed
40124499
DOI
10.1016/j.isci.2025.112079
Knihovny.cz E-zdroje
Genetic variations in protein expression are implicated in a broad spectrum of common diseases and complex traits but remain less explored compared to mRNA and classical phenotypes. This study systematically analyzed brain proteomes in a rat family using tandem mass tag (TMT)-based quantitative mass spectrometry. We quantified 8,119 proteins across two parental strains (SHR/Olalpcv and BN-Lx/Cub) and 29 HXB/BXH recombinant inbred (RI) strains, identifying 597 proteins with differential expression and 464 proteins linked to cis-acting quantitative trait loci (pQTLs). Proteogenomics identified 95 variant peptides, and sex-specific analyses revealed both shared and distinct cis-pQTLs. We improved the ability to pinpoint candidate genes underlying pQTLs by utilizing the rat pangenome and explored the connections between pQTLs in rats and human disorders. Collectively, this study highlights the value of large proteo-genetic datasets in elucidating protein modulation in the brain and its links to complex central nervous system (CNS) traits.
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Po ukončení testovacího provozu bude odkaz přesměrován adresu produkční verze portálu Medvik.