Evidence map›Paper›PMID 24731597›Full record

ReviewTrends in endocrinology and metabolism: TEM2014

Caenorhabditis elegans metabolic gene regulatory networks govern the cellular economy.

Emma Watson, Albertha J M Walhout

Abstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Article
  6. WormPaths:bioRxiv : the preprint server for biology · 2020
    Article
  7. Article
  8. Article
  9. Review
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  11. Article
  12. Article
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  14. Article
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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

2 authors.

Emma WatsonProgram in Systems Biology, Program in Molecular Medicine, University of Massachusetts Medical School, 55 North Lake Ave, Worcester, MA, 01655, USA.
Albertha J M WalhoutProgram in Systems Biology, Program in Molecular Medicine, University of Massachusetts Medical School, 55 North Lake Ave, Worcester, MA, 01655, USA. Electronic address: marian.walhout@umassmed.edu.

Funding

Transcription networks in C elegans organogenesisR01DK068429 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI A. J. Marian Walhout · 2005 to 2026
$10.9M
Gene Regulatory Networks in Development and PhysiologyR56DK068429 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WALHOUT, A. J. MARIAN · 2018 to 2018
$671k
NIDDK NIH HHS DK068429NIDDK NIH HHS R01 DK068429NIDDK NIH HHS R56 DK068429
6 · The paper itself

Abstract

Diet greatly impacts metabolism in health and disease. In response to the presence or absence of specific nutrients, metabolic gene regulatory networks sense the metabolic state of the cell and regulate metabolic flux accordingly, for instance by the transcriptional control of metabolic enzymes. Here, we discuss recent insights regarding metazoan metabolic regulatory networks using the nematode Caenorhabditis elegans as a model, including the modular organization of metabolic gene regulatory networks, the prominent impact of diet on the transcriptome and metabolome, specialized roles of nuclear hormone receptors (NHRs) in responding to dietary conditions, regulation of metabolic genes and metabolic regulators by miRNAs, and feedback between metabolic genes and their regulators.

Indexed as

AnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsCellsDietGene Expression RegulationGene Regulatory NetworksHumansCaenorhabditis elegans ProteinsbacteriaC. elegansgene expressiongene regulatory networklife history traitsmetabolic networknuclear hormone receptorsnutrient responsetranscription

Identifiers

PMID24731597
PMCPMC4178166

What OpenQuestion holds

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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.