Evidence map›Paper›PMID 30884380›Full record

ReviewCurrent opinion in chemical biology2019

Epigenetic regulation by endogenous metabolite pharmacology.

Rhushikesh A Kulkarni, David C Montgomery, Jordan L Meier

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Chemoproteomics Yields a Selective Molecular Host for Acetyl-CoA.Journal of the American Chemical Society · 2023
    Article
  5. New insights into the pathophysiology of methylmalonic acidemia.Journal of inherited metabolic disease · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
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.

Rhushikesh A KulkarniChemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA.
David C MontgomeryChemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA.
Jordan L MeierChemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA. Electronic address: jordan.meier@nih.gov.

Funding

Targeting Cancer Through Modifications and MetabolismZIABC011488 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MEIER, JORDAN L · 2013 to 2025
$21.3M
Intramural NIH HHS ZIA BC011488
6 · The paper itself

Abstract

Altered metabolite levels can drive epigenetic changes critical to development and disease. However, in many cases the specific protein-metabolite interactions that underlie this process remain enigmatic. In this review, we make the case that this fundamental missing information may be discovered by applying the tools of modern drug target validation to study endogenous metabolite pharmacology. We detail examples in which chemical proteomics has been applied to gain new insights into reversible and covalent metabolite signaling mechanisms, using acetyl-CoA and fumarate as case studies. Finally, we provide a brief survey of nascent chemical biology methods whose application to the study of endogenous metabolite pharmacology may further advance the field.

Indexed as

Epigenesis, GeneticAcetyl Coenzyme AFumaratesHumansPharmaceutical PreparationsProteomicsSignal TransductionAcetyl Coenzyme AFumaratesPharmaceutical Preparations

Identifiers

PMID30884380
PMCPMC6698396

What OpenQuestion holds

Textmetadata
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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.