Evidence map›Paper›PMID 36942755›Full record

ArticleMolecular systems biology2023

Systems-level transcriptional regulation of Caenorhabditis elegans metabolism.

Shivani Nanda, Marc-Antoine Jacques, Wen Wang, Chad L Myers, L Safak Yilmaz, Albertha Jm Walhout

Abstract read
In one paragraph

Article in Molecular systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq.bioRxiv : the preprint server for biology · 2025
    Article
  7. Sweet pepper extract reduces fat storage inFood science & nutrition · 2024
    Article
  8. Robustness and variability inbioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Integrated Analysis of Transcriptome and Metabolome Provides Insight intoInternational journal of molecular sciences · 2023
    Article
  15. Article
  16. 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

6 authors.

Shivani NandaDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0001-6358-2392
Marc-Antoine JacquesDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0002-8224-9285
Wen WangDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.
Chad L MyersDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.
L Safak YilmazDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Albertha Jm WalhoutDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0001-5587-3608

Funding

Gene regulatory and metabolic network structure, function and evolutionR35GM122502 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI A. J. Marian Walhout · 2017 to 2026
$8.3M
Methods for large-scale analysis of chemical-genetic interactionsR01HG005084 · NHGRI · UNIVERSITY OF MINNESOTA · PI MYERS, CHAD L · 2010 to 2022
$2.9M
NHGRI NIH HHS R01 HG005084NIGMS NIH HHS R35 GM122502
6 · The paper itself

Abstract

Metabolism is controlled to ensure organismal development and homeostasis. Several mechanisms regulate metabolism, including allosteric control and transcriptional regulation of metabolic enzymes and transporters. So far, metabolism regulation has mostly been described for individual genes and pathways, and the extent of transcriptional regulation of the entire metabolic network remains largely unknown. Here, we find that three-quarters of all metabolic genes are transcriptionally regulated in the nematode Caenorhabditis elegans. We find that many annotated metabolic pathways are coexpressed, and we use gene expression data and the iCEL1314 metabolic network model to define coregulated subpathways in an unbiased manner. Using a large gene expression compendium, we determine the conditions where subpathways exhibit strong coexpression. Finally, we develop "WormClust," a web application that enables a gene-by-gene query of genes to view their association with metabolic (sub)-pathways. Overall, this study sheds light on the ubiquity of transcriptional regulation of metabolism and provides a blueprint for similar studies in other organisms, including humans.

Indexed as

Caenorhabditis elegansCaenorhabditis elegans ProteinsAnimalsGene Expression RegulationHumansSoftwareCaenorhabditis elegans Proteinsgene regulationmetabolic network modelmetabolismsystems biologytranscription

Identifiers

PMID36942755
PMCPMC10167481

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.