Chromosomal neighbourhoods allow identification of organ specific changes in gene expression.

Although most genes share their chromosomal neighbourhood with other genes, distribution of genes has not been explored in the context of individual organ development; the common focus of developmental biology studies. Because developmental processes are often associated with initially subtle change...

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Autores principales: Rishi Das Roy, Outi Hallikas, Mona M Christensen, Elodie Renvoisé, Jukka Jernvall
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/abd8028eef474f2b9853a1fd277cb7e7
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spelling oai:doaj.org-article:abd8028eef474f2b9853a1fd277cb7e72021-12-02T19:57:49ZChromosomal neighbourhoods allow identification of organ specific changes in gene expression.1553-734X1553-735810.1371/journal.pcbi.1008947https://doaj.org/article/abd8028eef474f2b9853a1fd277cb7e72021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1008947https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Although most genes share their chromosomal neighbourhood with other genes, distribution of genes has not been explored in the context of individual organ development; the common focus of developmental biology studies. Because developmental processes are often associated with initially subtle changes in gene expression, here we explored whether neighbouring genes are informative in the identification of differentially expressed genes. First, we quantified the chromosomal neighbourhood patterns of genes having related functional roles in the mammalian genome. Although the majority of protein coding genes have at least five neighbours within 1 Mb window around each gene, very few of these neighbours regulate development of the same organ. Analyses of transcriptomes of developing mouse molar teeth revealed that whereas expression of genes regulating tooth development changes, their neighbouring genes show no marked changes, irrespective of their level of expression. Finally, we test whether inclusion of gene neighbourhood in the analyses of differential expression could provide additional benefits. For the analyses, we developed an algorithm, called DELocal that identifies differentially expressed genes by comparing their expression changes to changes in adjacent genes in their chromosomal regions. Our results show that DELocal removes detection bias towards large changes in expression, thereby allowing identification of even subtle changes in development. Future studies, including the detection of differential expression, may benefit from, and further characterize the significance of gene-gene neighbour relationships.Rishi Das RoyOuti HallikasMona M ChristensenElodie RenvoiséJukka JernvallPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1008947 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Rishi Das Roy
Outi Hallikas
Mona M Christensen
Elodie Renvoisé
Jukka Jernvall
Chromosomal neighbourhoods allow identification of organ specific changes in gene expression.
description Although most genes share their chromosomal neighbourhood with other genes, distribution of genes has not been explored in the context of individual organ development; the common focus of developmental biology studies. Because developmental processes are often associated with initially subtle changes in gene expression, here we explored whether neighbouring genes are informative in the identification of differentially expressed genes. First, we quantified the chromosomal neighbourhood patterns of genes having related functional roles in the mammalian genome. Although the majority of protein coding genes have at least five neighbours within 1 Mb window around each gene, very few of these neighbours regulate development of the same organ. Analyses of transcriptomes of developing mouse molar teeth revealed that whereas expression of genes regulating tooth development changes, their neighbouring genes show no marked changes, irrespective of their level of expression. Finally, we test whether inclusion of gene neighbourhood in the analyses of differential expression could provide additional benefits. For the analyses, we developed an algorithm, called DELocal that identifies differentially expressed genes by comparing their expression changes to changes in adjacent genes in their chromosomal regions. Our results show that DELocal removes detection bias towards large changes in expression, thereby allowing identification of even subtle changes in development. Future studies, including the detection of differential expression, may benefit from, and further characterize the significance of gene-gene neighbour relationships.
format article
author Rishi Das Roy
Outi Hallikas
Mona M Christensen
Elodie Renvoisé
Jukka Jernvall
author_facet Rishi Das Roy
Outi Hallikas
Mona M Christensen
Elodie Renvoisé
Jukka Jernvall
author_sort Rishi Das Roy
title Chromosomal neighbourhoods allow identification of organ specific changes in gene expression.
title_short Chromosomal neighbourhoods allow identification of organ specific changes in gene expression.
title_full Chromosomal neighbourhoods allow identification of organ specific changes in gene expression.
title_fullStr Chromosomal neighbourhoods allow identification of organ specific changes in gene expression.
title_full_unstemmed Chromosomal neighbourhoods allow identification of organ specific changes in gene expression.
title_sort chromosomal neighbourhoods allow identification of organ specific changes in gene expression.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/abd8028eef474f2b9853a1fd277cb7e7
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AT monamchristensen chromosomalneighbourhoodsallowidentificationoforganspecificchangesingeneexpression
AT elodierenvoise chromosomalneighbourhoodsallowidentificationoforganspecificchangesingeneexpression
AT jukkajernvall chromosomalneighbourhoodsallowidentificationoforganspecificchangesingeneexpression
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