Evidence map›Paper›PMID 26644408›Full record

ArticleMolecular and cellular biology2016

Identifying Novel Transcriptional Regulators with Circadian Expression.

Sandra Schick, Kolja Becker, Sudhir Thakurela, David Fournier, Mareike Hildegard Hampel, Stefan Legewie, Vijay K Tiwari

Abstract read
In one paragraph

Article in Molecular and cellular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Translational Regulation of Clock Genes BMAL1 and REV-ERBα by Polyamines.International journal of molecular sciences · 2021
    Article
  4. Genome-wide circadian regulation: A unique system for computational biology.Computational and structural biotechnology journal · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
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.

Sandra SchickEpigenetic Regulation of Development and Disease Group, Institute of Molecular Biology, Mainz, Germany.
Kolja BeckerModelling of Biological Networks Group, Institute of Molecular Biology, Mainz, Germany.ORCID http://orcid.org/0000-0001-8282-5329
Sudhir ThakurelaEpigenetic Regulation of Development and Disease Group, Institute of Molecular Biology, Mainz, Germany.
David FournierEpigenetic Regulation of Development and Disease Group, Institute of Molecular Biology, Mainz, Germany.
Mareike Hildegard HampelDr. Senckenbergisches Chronomedizinisches Institut, Frankfurt am Main, Germany.
Stefan LegewieModelling of Biological Networks Group, Institute of Molecular Biology, Mainz, Germany S.Legewie@imb-mainz.de V.Tiwari@imb-mainz.de.
Vijay K TiwariEpigenetic Regulation of Development and Disease Group, Institute of Molecular Biology, Mainz, Germany S.Legewie@imb-mainz.de V.Tiwari@imb-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organisms adapt their physiology and behavior to the 24-h day-night cycle to which they are exposed. On a cellular level, this is regulated by intrinsic transcriptional-translational feedback loops that are important for maintaining the circadian rhythm. These loops are organized by members of the core clock network, which further regulate transcription of downstream genes, resulting in their circadian expression. Despite progress in understanding circadian gene expression, only a few players involved in circadian transcriptional regulation, including transcription factors, epigenetic regulators, and long noncoding RNAs, are known. Aiming to discover such genes, we performed a high-coverage transcriptome analysis of a circadian time course in murine fibroblast cells. In combination with a newly developed algorithm, we identified many transcription factors, epigenetic regulators, and long intergenic noncoding RNAs that are cyclically expressed. In addition, a number of these genes also showed circadian expression in mouse tissues. Furthermore, the knockdown of one such factor, Zfp28, influenced the core clock network. Mathematical modeling was able to predict putative regulator-effector interactions between the identified circadian genes and may help for investigations into the gene regulatory networks underlying circadian rhythms.

Indexed as

Circadian RhythmGene Expression ProfilingGene Regulatory NetworksTranscriptional ActivationAnimalsComputer SimulationEpigenesis, GeneticFibroblastsMiceModels, GeneticNIH 3T3 CellsRNA, Long NoncodingTranscription FactorsRNA, Long NoncodingTranscription Factors

Identifiers

PMID26644408
PMCPMC4751687

What OpenQuestion holds

Textmetadata
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.