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Delgado De La Herran, H.C. ; Cheng, Y. ; Perocchi, F.

Towards a systems-level understanding of mitochondrial biology.

Cell Calcium 95:102364 (2021)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Human mitochondria are complex and highly dynamic biological systems, comprised of over a thousand parts and evolved to fully integrate into the specialized intracellular signaling networks and metabolic requirements of each cell and organ. Over the last two decades, several complementary, top-down computational and experimental approaches have been developed to identify, characterize and modulate the human mitochondrial system, demonstrating the power of integrating classical reductionist and discovery-driven analyses in order to de-orphanize hitherto unknown molecular components of mitochondrial machineries and pathways. To this goal, systematic, multiomics-based surveys of proteome composition, protein networks, and phenotype-to-pathway associations at the tissue, cell and organellar level have been largely exploited to predict the full complement of mitochondrial proteins and their functional interactions, therefore catalyzing data-driven hypotheses. Collectively, these multidisciplinary and integrative research approaches hold the potential to propel our understanding of mitochondrial biology and provide a systems-level framework to unraveling mitochondria-mediated and disease-spanning pathomechanisms.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Functional Associations ; Integrative Analyses ; Mitochondrial System ; Multiomics Approaches
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 0143-4160
e-ISSN 1532-1991
Zeitschrift Cell calcium
Quellenangaben Band: 95, Heft: , Seiten: , Artikelnummer: 102364 Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes and Obesity (IDO)
POF Topic(s) 30201 - Metabolic Health
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502295-001
G-502200-001
Förderungen ExNet-0041-Phase2-3 ("SyNergy-HMGU") through the Initiative and Network Fund of the Helmholtz Association
Munich Center for Systems Neurology (SyNergy EXC 2145)
DOI 10.1016/j.ceca.2021.102364
WOS ID WOS:000634565600002
Scopus ID 85100789022
PubMed ID 33601101
Erfassungsdatum 2021-04-21
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