Evidence map›Paper›PMID 28973476›Full record

SynthesisNucleic acids research2017

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

Laurence A Brown, John Williams, Lewis Taylor, Ross J Thomson, Patrick M Nolan, Russell G Foster, Stuart N Peirson

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Co-expression network analysis reveals repression ofbioRxiv : the preprint server for biology · 2026
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  12. Targeted Disruption of theInternational journal of molecular sciences · 2021
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  14. Review
  15. Article
  16. Circuit development in the master clock network of mammals.The European journal of neuroscience · 2020
    Review
  17. Article
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Laurence A BrownSleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3RE, UK.
John WilliamsMRC Harwell Institute, Harwell Campus, Oxfordshire OX11 0RD, UK.
Lewis TaylorSleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3RE, UK.
Ross J ThomsonSleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3RE, UK.
Patrick M NolanMRC Harwell Institute, Harwell Campus, Oxfordshire OX11 0RD, UK.
Russell G FosterSleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3RE, UK.
Stuart N PeirsonSleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3RE, UK.
Oxford Centre for Computational Neuroscience · GBMary Lyon Centre at MRC Harwell · GB

Funding

Medical Research Council MC_U142684173
6 · The paper itself

Abstract

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.

Indexed as

Gene Regulatory NetworksTranscriptomeAnimalsBrain ChemistryCircadian ClocksCircadian RhythmData MiningDatasets as TopicGene OntologyMaleMiceMice, Inbred C57BLMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisSequence Analysis, RNASuprachiasmatic Nucleus

Identifiers

PMID28973476
PMCPMC5737434
OpenAlexW2747555840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.