Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker

• Published in: Nucleic acids research 2017-09, Vol.45 (17), p.9860-9873
• Main Authors: Brown, Laurence A, Williams, John, Taylor, Lewis, Thomson, Ross J, Nolan, Patrick M, Foster, Russell G, Peirson, Stuart N
• Format: Article
• Language: English
• Subjects: Animals; Brain Chemistry; Circadian Clocks - genetics; Circadian Rhythm - genetics; Data Mining; Data Resources and Analyses; Datasets as Topic; Gene Ontology; Gene Regulatory Networks; Male; Mice; Mice, Inbred C57BL; Molecular Sequence Annotation; Oligonucleotide Array Sequence Analysis; Sequence Analysis, RNA; Suprachiasmatic Nucleus - physiology; Transcriptome
• ISSN: 0305-1048; 1362-4962
• DOI: 10.1093/nar/gkx714

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.