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Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker
The master circadian pacemaker in mammals is located in the suprachiasmatic nuclei (SCN) which regulate physiology and behaviour, as well as coordinating peripheral clocks throughout the body. Investigating the function of the SCN has often focused on the identification of rhythmically expressed gen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737434/ https://www.ncbi.nlm.nih.gov/pubmed/28973476 http://dx.doi.org/10.1093/nar/gkx714 |
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author | Brown, Laurence A. Williams, John Taylor, Lewis Thomson, Ross J. Nolan, Patrick M. Foster, Russell G. Peirson, Stuart N. |
author_facet | Brown, Laurence A. Williams, John Taylor, Lewis Thomson, Ross J. Nolan, Patrick M. Foster, Russell G. Peirson, Stuart N. |
author_sort | Brown, Laurence A. |
collection | PubMed |
description | The master circadian pacemaker in mammals is located in the suprachiasmatic nuclei (SCN) which regulate physiology and behaviour, as well as coordinating peripheral clocks throughout the body. Investigating the function of the SCN has often focused on the identification of rhythmically expressed genes. However, not all genes critical for SCN function are rhythmically expressed. An alternative strategy is to characterize those genes that are selectively enriched in the SCN. Here, we examined the transcriptome of the SCN and whole brain (WB) of mice using meta-analysis of publicly deposited data across a range of microarray platforms and RNA-Seq data. A total of 79 microarrays were used (24 SCN and 55 WB samples, 4 different microarray platforms), alongside 17 RNA-Seq data files (7 SCN and 10 WB). 31 684 MGI gene symbols had data for at least one platform. Meta-analysis using a random effects model for weighting individual effect sizes (derived from differential expression between relevant SCN and WB samples) reliably detected known SCN markers. SCN-enriched transcripts identified in this study provide novel insights into SCN function, including identifying genes which may play key roles in SCN physiology or provide SCN-specific drivers. |
format | Online Article Text |
id | pubmed-5737434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57374342018-01-09 Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker Brown, Laurence A. Williams, John Taylor, Lewis Thomson, Ross J. Nolan, Patrick M. Foster, Russell G. Peirson, Stuart N. Nucleic Acids Res Data Resources and Analyses The master circadian pacemaker in mammals is located in the suprachiasmatic nuclei (SCN) which regulate physiology and behaviour, as well as coordinating peripheral clocks throughout the body. Investigating the function of the SCN has often focused on the identification of rhythmically expressed genes. However, not all genes critical for SCN function are rhythmically expressed. An alternative strategy is to characterize those genes that are selectively enriched in the SCN. Here, we examined the transcriptome of the SCN and whole brain (WB) of mice using meta-analysis of publicly deposited data across a range of microarray platforms and RNA-Seq data. A total of 79 microarrays were used (24 SCN and 55 WB samples, 4 different microarray platforms), alongside 17 RNA-Seq data files (7 SCN and 10 WB). 31 684 MGI gene symbols had data for at least one platform. Meta-analysis using a random effects model for weighting individual effect sizes (derived from differential expression between relevant SCN and WB samples) reliably detected known SCN markers. SCN-enriched transcripts identified in this study provide novel insights into SCN function, including identifying genes which may play key roles in SCN physiology or provide SCN-specific drivers. Oxford University Press 2017-09-29 2017-08-18 /pmc/articles/PMC5737434/ /pubmed/28973476 http://dx.doi.org/10.1093/nar/gkx714 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Resources and Analyses Brown, Laurence A. Williams, John Taylor, Lewis Thomson, Ross J. Nolan, Patrick M. Foster, Russell G. Peirson, Stuart N. Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker |
title | Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker |
title_full | Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker |
title_fullStr | Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker |
title_full_unstemmed | Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker |
title_short | Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker |
title_sort | meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker |
topic | Data Resources and Analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737434/ https://www.ncbi.nlm.nih.gov/pubmed/28973476 http://dx.doi.org/10.1093/nar/gkx714 |
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