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Butterfield, N.C.* ; Curry, K.F.* ; Steinberg, J. ; Dewhurst, H.* ; Komla-Ebri, D.* ; Mannan, N.S.* ; Adoum, A.T.* ; Leitch, V.D.* ; Logan, J.G.* ; Waung, J.A.* ; Ghirardello, E.* ; Southam, L. ; Youlten, S.E.* ; Wilkinson, J.M.* ; McAninch, E.A.* ; Vancollie, V.E.* ; Kussy, F.* ; White, J.K.* ; Lelliott, C.J.* ; Adams, D.J.* ; Jacques, R.* ; Bianco, A.C.* ; Boyde, A.* ; Zeggini, E. ; Croucher, P.I.* ; Williams, G.R.* ; Bassett, J.H.D.*

Accelerating functional gene discovery in osteoarthritis.

Nat. Commun. 12:467 (2021)
Postprint DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Osteoarthritis causes debilitating pain and disability, resulting in a considerable socioeconomic burden, yet no drugs are available that prevent disease onset or progression. Here, we develop, validate and use rapid-throughput imaging techniques to identify abnormal joint phenotypes in randomly selected mutant mice generated by the International Knockout Mouse Consortium. We identify 14 genes with functional involvement in osteoarthritis pathogenesis, including the homeobox gene Pitx1, and functionally characterize 6 candidate human osteoarthritis genes in mouse models. We demonstrate sensitivity of the methods by identifying age-related degenerative joint damage in wild-type mice. Finally, we phenotype previously generated mutant mice with an osteoarthritis-associated polymorphism in the Dio2 gene by CRISPR/Cas9 genome editing and demonstrate a protective role in disease onset with public health implications. We hope this expanding resource of mutant mice will accelerate functional gene discovery in osteoarthritis and offer drug discovery opportunities for this common, incapacitating chronic disease.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Mouse Articular-cartilage; Genome-wide Association; Activated Receptor 2; Susceptibility Locus; Transcription Factor; Wnt/beta-catenin; Expression; Differentiation; Identification; Pitx1
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 12, Heft: 1, Seiten: , Artikelnummer: 467 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Translational Genomics (ITG)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-506700-001
Förderungen
Ernest Heine Family Foundation
European Commission
Wellcome Trust
DOI 10.1038/s41467-020-20761-5
WOS ID WOS:000613566500002
Scopus ID 85099680503
PubMed ID 33473114
Erfassungsdatum 2021-03-29
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