Evidence map›Paper›PMID 24473130›Full record

ArticlemBio2014

Metabolite changes signal genetic regulatory mechanisms for robust cell behavior.

Sang Jun Lee, Andrei Trostel, Sankar Adhya

Open access · goldAbstract read
In one paragraph

Article in mBio, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Microbial Production of Human Milk Oligosaccharides.Molecules (Basel, Switzerland) · 2023
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. The small RNA SgrS: roles in metabolism and pathogenesis of enteric bacteria.Frontiers in cellular and infection microbiology · 2014
    Review
  12. Metabolomic analysis of the food-borne pathogenMetabolomics : Official journal of the Metabolomic Society · 2014
    Article
  13. 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

3 authors at 2 institutions in 2 countries.

Sang Jun LeeInfection and Immunity Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic Korea.
Andrei TrostelLaboratory of Molecular Biology, National Cancer Institute, Bethesda, Maryland, USA.
Sankar AdhyaLaboratory of Molecular Biology, National Cancer Institute, Bethesda, Maryland, USA. sadhya@helix.nih.gov
National Cancer Institute · USKorea Research Institute of Bioscience and Biotechnology · KR

Funding

Regulation of Gene TranscriptionZIABC008751 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ADHYA, SANKAR · 2009 to 2025
$24.3M
Intramural NIH HHS
6 · The paper itself

Abstract

unlabelledExploiting mechanisms of utilizing the sugar d-galactose in Escherichia coli as a model system, we explored the consequences of accumulation of critical intermediates of the d-galactose metabolic pathways by monitoring cell growth, metabolites, and transcript profiles. These studies revealed both metabolic network changes far from the d-galactose pathway and changes in the global gene regulatory network. The concentration change of a critical intermediate disturbs the equilibrium state, generating a ripple effect through several metabolic pathways that ends up signaling up- or downregulation of specific sets of genes in a programmed manner to cope with the imbalance. Such long-range effects on metabolites and genetic regulatory mechanisms not only may be a common feature in bacteria but very likely operate during cellular development and differentiation in higher organisms as well as in disease cells, like cancer cells. IMPORTANCE: Metabolite accumulation can create adverse intracellular conditions that are relieved by compensatory immediate changes of metabolite pools and later changes of transcript levels. It has been known that gene expression is normally regulated by added catabolic substrates (induction) or anabolic end products (repression). It is becoming apparent now that change in the concentration of metabolic intermediates also plays a critical role in genetic regulatory networks for metabolic homeostasis. Our study provides new insight into how metabolite pool changes transduce signals to global gene regulatory networks.

Indexed as

Adaptation, PhysiologicalGene Expression Regulation, BacterialEscherichia coliGalactoseGene Expression ProfilingGene Regulatory NetworksGalactose

Identifiers

PMID24473130
PMCPMC3903281
OpenAlexW2133872077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.