Katsoula, G. ; Lawrence, J.E.G.* ; Arruda, A.L. ; Tutino, M. ; Balogh, P.* ; Southam, L. ; Swift, D.* ; Behjati, S.* ; Teichmann, S.A.* ; Wilkinson, J.M.* ; Zeggini, E.
Primary cartilage transcriptional signatures reflect cell-type-specific molecular pathways underpinning osteoarthritis.
Am. J. Hum. Genet. 111, 2735-2755 (2024)
Translational efforts in osteoarthritis are hampered by a gap in our understanding of disease processes at the molecular level. Here, we present evidence of pronounced transcriptional changes in high- and low-disease-grade cartilage tissue, pointing to embryonic processes involved in disease progression. We identify shared transcriptional programs between osteoarthritis cartilage and cell populations in the human embryonic and fetal limb, pointing to increases in pre-hypertrophic chondrocytes' transcriptional programs in low-grade cartilage and increases in osteoblastic signatures in high-grade disease tissue. We find that osteoarthritis genetic risk signals are enriched in six gene co-expression modules and show that these transcriptional signatures reflect cell-type-specific expression along the endochondral ossification developmental trajectory. Using this network approach in combination with causal inference analysis, we present evidence of a causal effect on osteoarthritis risk for variants associated with the expression of ten genes that have not been previously reported as effector genes in genome-wide association studies in osteoarthritis. Our findings point to key molecular pathways as drivers of cartilage degeneration and identify high-value drug targets and repurposing opportunities.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Rna Sequencing ; Cell-type-specific Expression ; Chondrocyte Populations ; Disease Pathways ; Endochondral Ossification ; Gene Co-expression Networks ; Gene Set Analysis ; Osteoarthritis; Endochondral Ossification; Gene-expression; Hypertrophic Chondrocytes; Progression; Calcification; Instability; Program; Growth
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2024
Prepublished im Jahr
0
HGF-Berichtsjahr
2024
ISSN (print) / ISBN
0002-9297
e-ISSN
1537-6605
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 111,
Heft: 12,
Seiten: 2735-2755
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Elsevier
Verlagsort
New York, NY
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Translational Genomics (ITG)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Genetics and Epidemiology
Enabling and Novel Technologies
PSP-Element(e)
G-506700-001
G-506701-001
Förderungen
Wellcome Trust
Copyright
Erfassungsdatum
2024-11-27