Evidence map›Paper›PMID 28076377›Full record

ArticlePloS one2017

Comparative Analysis of Vertebrate Diurnal/Circadian Transcriptomes.

Greg Boyle, Kerstin Richter, Henry D Priest, David Traver, Todd C Mockler, Jeffrey T Chang, Steve A Kay, Ghislain Breton

Abstract readComparative Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

8 authors.

Greg BoyleDepartment of Integrative Biology and Pharmacology, McGovern Medical School, Houston, Texas, United States of America.
Kerstin RichterDivision of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Henry D PriestDonald Danforth Plant Science Center, St. Louis, Missouri, United States of America.
David TraverDivision of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Todd C MocklerDonald Danforth Plant Science Center, St. Louis, Missouri, United States of America.
Jeffrey T ChangDepartment of Integrative Biology and Pharmacology, McGovern Medical School, Houston, Texas, United States of America.
Steve A KayDivision of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Ghislain BretonDepartment of Integrative Biology and Pharmacology, McGovern Medical School, Houston, Texas, United States of America.ORCID http://orcid.org/0000-0001-6400-3858

Funding

GENETIC ANALYSIS OF CIRCADIAN RHYTHMS IN ARABIDOPSISR01GM056006 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAY, STEVE A, PRUNEDA-PAZ, JOSE L · 1996 to 2016
$6.0M
Molecular Mechanisms in the Arabidopsis Circadian ClockR01GM067837 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAY, STEVE A · 2003 to 2015
$4.7M
The Arabidopsis Transcription Factor ORFeome and downstream genomic applicationRC2GM092412 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ECKER, JOSEPH R, KAY, STEVE A · 2009 to 2010
$2.0M
NIGMS NIH HHS R01 GM056006NIGMS NIH HHS R01 GM067837NIGMS NIH HHS RC2 GM092412
6 · The paper itself

Abstract

From photosynthetic bacteria to mammals, the circadian clock evolved to track diurnal rhythms and enable organisms to anticipate daily recurring changes such as temperature and light. It orchestrates a broad spectrum of physiology such as the sleep/wake and eating/fasting cycles. While we have made tremendous advances in our understanding of the molecular details of the circadian clock mechanism and how it is synchronized with the environment, we still have rudimentary knowledge regarding its connection to help regulate diurnal physiology. One potential reason is the sheer size of the output network. Diurnal/circadian transcriptomic studies are reporting that around 10% of the expressed genome is rhythmically controlled. Zebrafish is an important model system for the study of the core circadian mechanism in vertebrate. As Zebrafish share more than 70% of its genes with human, it could also be an additional model in addition to rodent for exploring the diurnal/circadian output with potential for translational relevance. Here we performed comparative diurnal/circadian transcriptome analysis with established mouse liver and other tissue datasets. First, by combining liver tissue sampling in a 48h time series, transcription profiling using oligonucleotide arrays and bioinformatics analysis, we profiled rhythmic transcripts and identified 2609 rhythmic genes. The comparative analysis revealed interesting features of the output network regarding number of rhythmic genes, proportion of tissue specific genes and the extent of transcription factor family expression. Undoubtedly, the Zebrafish model system will help identify new vertebrate outputs and their regulators and provides leads for further characterization of the diurnal cis-regulatory network.

Indexed as

TranscriptomeAnimalsCircadian ClocksCircadian RhythmEmbryo, NonmammalianGene Expression ProfilingLiverMaleMiceOligonucleotide Array Sequence AnalysisRatsVertebratesZebrafish

Identifiers

PMID28076377
PMCPMC5226840

What OpenQuestion holds

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Registered trials

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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.