TY - JOUR
T1 - Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
AU - Higgins, Kendall
AU - Moore, Bret A.
AU - Berberovic, Zorana
AU - Adissu, Hibret A.
AU - Eskandarian, Mohammad
AU - Flenniken, Ann M.
AU - Shao, Andy
AU - Imai, Denise M.
AU - Clary, Dave
AU - Lanoue, Louise
AU - Newbigging, Susan
AU - Nutter, Lauryl M.J.
AU - Adams, David J.
AU - Bosch, Fatima
AU - Braun, Robert E.
AU - Brown, Steve D.M.
AU - Dickinson, Mary E.
AU - Dobbie, Michael
AU - Flicek, Paul
AU - Gao, Xiang
AU - Galande, Sanjeev
AU - Grobler, Anne
AU - Heaney, Jason D.
AU - Herault, Yann
AU - de Angelis, Martin Hrabe
AU - Chin, Hsian Jean Genie
AU - Mammano, Fabio
AU - Qin, Chuan
AU - Shiroishi, Toshihiko
AU - Sedlacek, Radislav
AU - Seong, J. K.
AU - Xu, Ying
AU - Beaudet, Arthur L.
AU - Braun, Bob
AU - Karp, Natasha
AU - Mallon, Ann Marie
AU - Meehan, Terrence
AU - Obata, Yuichi
AU - Parkinson, Helen
AU - Smedley, Damian
AU - Tocchini-Valentini, Glauco
AU - Wells, Sara
AU - Lloyd, K. C.Kent
AU - McKerlie, Colin
AU - Moshiri, Ala
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - We searched a database of single-gene knockout (KO) mice produced by the International Mouse Phenotyping Consortium (IMPC) to identify candidate ciliopathy genes. We first screened for phenotypes in mouse lines with both ocular and renal or reproductive trait abnormalities. The STRING protein interaction tool was used to identify interactions between known cilia gene products and those encoded by the genes in individual knockout mouse strains in order to generate a list of “candidate ciliopathy genes.” From this list, 32 genes encoded proteins predicted to interact with known ciliopathy proteins. Of these, 25 had no previously described roles in ciliary pathobiology. Histological and morphological evidence of phenotypes found in ciliopathies in knockout mouse lines are presented as examples (genes Abi2, Wdr62, Ap4e1, Dync1li1, and Prkab1). Phenotyping data and descriptions generated on IMPC mouse line are useful for mechanistic studies, target discovery, rare disease diagnosis, and preclinical therapeutic development trials. Here we demonstrate the effective use of the IMPC phenotype data to uncover genes with no previous role in ciliary biology, which may be clinically relevant for identification of novel disease genes implicated in ciliopathies.
AB - We searched a database of single-gene knockout (KO) mice produced by the International Mouse Phenotyping Consortium (IMPC) to identify candidate ciliopathy genes. We first screened for phenotypes in mouse lines with both ocular and renal or reproductive trait abnormalities. The STRING protein interaction tool was used to identify interactions between known cilia gene products and those encoded by the genes in individual knockout mouse strains in order to generate a list of “candidate ciliopathy genes.” From this list, 32 genes encoded proteins predicted to interact with known ciliopathy proteins. Of these, 25 had no previously described roles in ciliary pathobiology. Histological and morphological evidence of phenotypes found in ciliopathies in knockout mouse lines are presented as examples (genes Abi2, Wdr62, Ap4e1, Dync1li1, and Prkab1). Phenotyping data and descriptions generated on IMPC mouse line are useful for mechanistic studies, target discovery, rare disease diagnosis, and preclinical therapeutic development trials. Here we demonstrate the effective use of the IMPC phenotype data to uncover genes with no previous role in ciliary biology, which may be clinically relevant for identification of novel disease genes implicated in ciliopathies.
UR - http://www.scopus.com/inward/record.url?scp=85143182146&partnerID=8YFLogxK
U2 - 10.1038/s41598-022-19710-7
DO - 10.1038/s41598-022-19710-7
M3 - Article
SN - 2045-2322
VL - 12
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 20791
ER -