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Summary Expression Phenotypes Gene Literature (61) GO Terms (19) Nucleotides (512) Proteins (72) Interactants (1137) Wiki
XB--6258352

Papers associated with col2a1 (and OMIM)



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Insights on the evolution of prolyl 3-hydroxylation sites from comparative analysis of chicken and Xenopus fibrillar collagens., Hudson DM, Weis M, Eyre DR., PLoS One. May 3, 2011; 6 (5): e19336.        


Median facial clefts in Xenopus laevis: roles of retinoic acid signaling and homeobox genes., Kennedy AE, Dickinson AJ., Dev Biol. May 1, 2012; 365 (1): 229-40.                              


WNT16 antagonises excessive canonical WNT activation and protects cartilage in osteoarthritis., Nalesso G, Thomas BL, Sherwood JC, Yu J, Addimanda O, Eldridge SE, Thorup AS, Dale L, Schett G, Zwerina J, Eltawil N, Pitzalis C, Dell'Accio F., Ann Rheum Dis. January 1, 2017; 76 (1): 218-226.              


Novel truncating mutations in CTNND1 cause a dominant craniofacial and cardiac syndrome., Alharatani R, Ververi A, Beleza-Meireles A, Ji W, Mis E, Patterson QT, Griffin JN, Bhujel N, Chang CA, Dixit A, Konstantino M, Healy C, Hannan S, Neo N, Cash A, Li D, Bhoj E, Zackai EH, Cleaver R, Baralle D, McEntagart M, Newbury-Ecob R, Scott R, Hurst JA, Au PYB, Hosey MT, Khokha M, Marciano DK, Lakhani SA, Liu KJ, Liu KJ., Hum Mol Genet. July 21, 2020; 29 (11): 1900-1921.                  


Using Xenopus to analyze neurocristopathies like Kabuki syndrome., Schwenty-Lara J, Pauli S, Borchers A., Genesis. February 1, 2021; 59 (1-2): e23404.      


The Role of RNA-Binding Proteins in Vertebrate Neural Crest and Craniofacial Development., Forman TE, Dennison BJC, Fantauzzo KA., J Dev Biol. August 27, 2021; 9 (3):   


Ttc30a affects tubulin modifications in a model for ciliary chondrodysplasia with polycystic kidney disease., Getwan M, Hoppmann A, Schlosser P, Grand K, Song W, Diehl R, Schroda S, Heeg F, Deutsch K, Hildebrandt F, Lausch E, Köttgen A, Lienkamp SS., Proc Natl Acad Sci U S A. September 28, 2021; 118 (39):                                                   


Deep learning is widely applicable to phenotyping embryonic development and disease., Naert T, Çiçek Ö, Ogar P, Bürgi M, Shaidani NI, Kaminski MM, Xu Y, Grand K, Vujanovic M, Prata D, Hildebrandt F, Brox T, Ronneberger O, Voigt FF, Helmchen F, Loffing J, Horb ME, Willsey HR, Lienkamp SS., Development. November 1, 2021; 148 (21):                                                                 

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