Enhanced chondrogenesis from human embryonic stem cells

Autor: Wang, Tao, Nimkingratana, Puwapong, Smith, Christopher A., Cheng, Aixin, Hardingham, Timothy E., Kimber, Susan J.

Publikováno v: In Stem Cell Research August 2019 39

The influence of donor and hypoxic conditions on the assembly of cartilage matrix by osteoarthritic human articular chondrocytes on Hyalograft matrices

Autor: Katopodi, Theoni, Tew, Simon R., Clegg, Peter D., Hardingham, Timothy E.

Publikováno v: In Biomaterials 2009 30(4):535-540

Retroviral transduction with SOX9 enhances re-expression of the chondrocyte phenotype in passaged osteoarthritic human articular chondrocytes

Autor: Tew, Simon R. ^†, Li, Ying ^‡, Pothacharoen, Peraphan ^†, Tweats, Lisa M. ^†, Hawkins, Robert E. ^‡, Hardingham, Timothy E. ^{†, ∗}

Publikováno v: In Osteoarthritis and Cartilage 2005 13(1):80-89

Assembly of the Respiratory Mucin MUC5B: A new model for a gel-forming mucin

Autor: Ridley, Caroline, Kouvatsos, Nikos, Raynal, Bertrand D, Howard, Marj, Collins, Richard F, Desseyn, Jean-Luc, Jowitt, Thomas A, Baldock, Clair, Davis, C William, Hardingham, Timothy E, Thornton, David J

Publikováno v: The Journal of Biological Chemistry
Journal of Biological Chemistry
Journal of Biological Chemistry, American Society for Biochemistry and Molecular Biology, 2014, 289 (23), pp.16409-20. ⟨10.1074/jbc.M114.566679⟩

Background: Mucin polymer formation is a complex intracellular process. Results: MUC5B N-terminal D3-domains form reversible pH-sensitive calcium mediated cross-links between linear MUC5B polymer chains. Conclusion: Intracellular assembly of MUC5B ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::29e4ea22fdcbc04fb6e6ea77061137e1
http://europepmc.org/articles/PMC4047408

PhenomeExpress: a refined network analysis of expression datasets by inclusion of known disease phenotypes

Autor: Soul, Jamie, Hardingham, Timothy E, Boot-Handford, Raymond P, Schwartz, Jean-Marc

We describe a new method, PhenomeExpress, for the analysis of transcriptomic datasets to identify pathogenic disease mechanisms. Our analysis method includes input from both protein-protein interaction and phenotype similarity networks. This introduc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2295::ad8a4aba23f5c6ad7d4387c531fc8459
http://www.pubmed.org/25631385