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Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes

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 intera...

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Autores principales: Higgins, Kendall, Moore, Bret A., Berberovic, Zorana, Adissu, Hibret A., Eskandarian, Mohammad, Flenniken, Ann M., Shao, Andy, Imai, Denise M., Clary, Dave, Lanoue, Louise, Newbigging, Susan, Nutter, Lauryl M. J., Adams, David J., Bosch, Fatima, Braun, Robert E., Brown, Steve D. M., Dickinson, Mary E., Dobbie, Michael, Flicek, Paul, Gao, Xiang, Galande, Sanjeev, Grobler, Anne, Heaney, Jason D., Herault, Yann, de Angelis, Martin Hrabe, Chin, Hsian-Jean Genie, Mammano, Fabio, Qin, Chuan, Shiroishi, Toshihiko, Sedlacek, Radislav, Seong, J.-K., Xu, Ying, Lloyd, K. C. Kent, McKerlie, Colin, Moshiri, Ala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715561/
https://www.ncbi.nlm.nih.gov/pubmed/36456625
http://dx.doi.org/10.1038/s41598-022-19710-7
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author Higgins, Kendall
Moore, Bret A.
Berberovic, Zorana
Adissu, Hibret A.
Eskandarian, Mohammad
Flenniken, Ann M.
Shao, Andy
Imai, Denise M.
Clary, Dave
Lanoue, Louise
Newbigging, Susan
Nutter, Lauryl M. J.
Adams, David J.
Bosch, Fatima
Braun, Robert E.
Brown, Steve D. M.
Dickinson, Mary E.
Dobbie, Michael
Flicek, Paul
Gao, Xiang
Galande, Sanjeev
Grobler, Anne
Heaney, Jason D.
Herault, Yann
de Angelis, Martin Hrabe
Chin, Hsian-Jean Genie
Mammano, Fabio
Qin, Chuan
Shiroishi, Toshihiko
Sedlacek, Radislav
Seong, J.-K.
Xu, Ying
Lloyd, K. C. Kent
McKerlie, Colin
Moshiri, Ala
author_facet Higgins, Kendall
Moore, Bret A.
Berberovic, Zorana
Adissu, Hibret A.
Eskandarian, Mohammad
Flenniken, Ann M.
Shao, Andy
Imai, Denise M.
Clary, Dave
Lanoue, Louise
Newbigging, Susan
Nutter, Lauryl M. J.
Adams, David J.
Bosch, Fatima
Braun, Robert E.
Brown, Steve D. M.
Dickinson, Mary E.
Dobbie, Michael
Flicek, Paul
Gao, Xiang
Galande, Sanjeev
Grobler, Anne
Heaney, Jason D.
Herault, Yann
de Angelis, Martin Hrabe
Chin, Hsian-Jean Genie
Mammano, Fabio
Qin, Chuan
Shiroishi, Toshihiko
Sedlacek, Radislav
Seong, J.-K.
Xu, Ying
Lloyd, K. C. Kent
McKerlie, Colin
Moshiri, Ala
author_sort Higgins, Kendall
collection PubMed
description 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.
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spelling pubmed-97155612022-12-03 Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes Higgins, Kendall Moore, Bret A. Berberovic, Zorana Adissu, Hibret A. Eskandarian, Mohammad Flenniken, Ann M. Shao, Andy Imai, Denise M. Clary, Dave Lanoue, Louise Newbigging, Susan Nutter, Lauryl M. J. Adams, David J. Bosch, Fatima Braun, Robert E. Brown, Steve D. M. Dickinson, Mary E. Dobbie, Michael Flicek, Paul Gao, Xiang Galande, Sanjeev Grobler, Anne Heaney, Jason D. Herault, Yann de Angelis, Martin Hrabe Chin, Hsian-Jean Genie Mammano, Fabio Qin, Chuan Shiroishi, Toshihiko Sedlacek, Radislav Seong, J.-K. Xu, Ying Lloyd, K. C. Kent McKerlie, Colin Moshiri, Ala Sci Rep Article 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. Nature Publishing Group UK 2022-12-01 /pmc/articles/PMC9715561/ /pubmed/36456625 http://dx.doi.org/10.1038/s41598-022-19710-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Higgins, Kendall
Moore, Bret A.
Berberovic, Zorana
Adissu, Hibret A.
Eskandarian, Mohammad
Flenniken, Ann M.
Shao, Andy
Imai, Denise M.
Clary, Dave
Lanoue, Louise
Newbigging, Susan
Nutter, Lauryl M. J.
Adams, David J.
Bosch, Fatima
Braun, Robert E.
Brown, Steve D. M.
Dickinson, Mary E.
Dobbie, Michael
Flicek, Paul
Gao, Xiang
Galande, Sanjeev
Grobler, Anne
Heaney, Jason D.
Herault, Yann
de Angelis, Martin Hrabe
Chin, Hsian-Jean Genie
Mammano, Fabio
Qin, Chuan
Shiroishi, Toshihiko
Sedlacek, Radislav
Seong, J.-K.
Xu, Ying
Lloyd, K. C. Kent
McKerlie, Colin
Moshiri, Ala
Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
title Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
title_full Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
title_fullStr Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
title_full_unstemmed Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
title_short Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
title_sort analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715561/
https://www.ncbi.nlm.nih.gov/pubmed/36456625
http://dx.doi.org/10.1038/s41598-022-19710-7
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