Novel Approach Combining Transcriptional and Evolutionary Signatures to Identify New Multiciliation Genes.

Details

Serval ID
serval:BIB_F7D3952B2536
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Novel Approach Combining Transcriptional and Evolutionary Signatures to Identify New Multiciliation Genes.
Journal
Genes
Author(s)
Defosset A., Merlat D., Poidevin L., Nevers Y., Kress A., Poch O., Lecompte O.
ISSN
2073-4425 (Electronic)
ISSN-L
2073-4425
Publication state
Published
Issued date
21/09/2021
Peer-reviewed
Oui
Volume
12
Number
9
Pages
1452
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Multiciliogenesis is a complex process that allows the generation of hundreds of motile cilia on the surface of specialized cells, to create fluid flow across epithelial surfaces. Dysfunction of human multiciliated cells is associated with diseases of the brain, airway and reproductive tracts. Despite recent efforts to characterize the transcriptional events responsible for the differentiation of multiciliated cells, a lot of actors remain to be identified. In this work, we capitalize on the ever-growing quantity of high-throughput data to search for new candidate genes involved in multiciliation. After performing a large-scale screening using 10 transcriptomics datasets dedicated to multiciliation, we established a specific evolutionary signature involving Otomorpha fish to use as a criterion to select the most likely targets. Combining both approaches highlighted a list of 114 potential multiciliated candidates. We characterized these genes first by generating protein interaction networks, which showed various clusters of ciliated and multiciliated genes, and then by computing phylogenetic profiles. In the end, we selected 11 poorly characterized genes that seem like particularly promising multiciliated candidates. By combining functional and comparative genomics methods, we developed a novel type of approach to study biological processes and identify new promising candidates linked to that process.
Keywords
comparative genomics, evolution, functional genomics, multi-omics data integration, multiciliation, rare diseases
Pubmed
Web of science
Open Access
Yes
Create date
04/10/2021 11:09
Last modification date
21/07/2022 6:37
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