Evidence map›Paper›PMID 32638413›Full record

ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2020

Nutrient Sensing by Histone Marks: Reading the Metabolic Histone Code Using Tracing, Omics, and Modeling.

Scott E Campit, Alia Meliki, Neil A Youngson, Sriram Chandrasekaran

Open access · hybridAbstract read
In one paragraph

Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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  6. Reviewing cancer's biology: an eclectic approach.Journal of the Egyptian National Cancer Institute · 2021
    Review
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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

4 authors at 3 institutions in 3 countries.

Scott E CampitProgram in Chemical Biology, University of Michigan, Ann Arbor, MI, 48109, USA.
Alia MelikiCenter for Bioinformatics and Computational Medicine, Ann Arbor, MI, 48109, USA.
Neil A YoungsonInstitute of Hepatology, Foundation for Liver Research, London, SE5 9NT, UK.
Sriram ChandrasekaranProgram in Chemical Biology, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID 0000-0002-8405-5708
University of Michigan · USMichigan Center for Translational Pathology · USThe University of Sydney · AU

Funding

Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
NCI NIH HHS T32 CA140044
6 · The paper itself

Abstract

Several metabolites serve as substrates for histone modifications and communicate changes in the metabolic environment to the epigenome. Technologies such as metabolomics and proteomics have allowed us to reconstruct the interactions between metabolic pathways and histones. These technologies have shed light on how nutrient availability can have a dramatic effect on various histone modifications. This metabolism-epigenome cross talk plays a fundamental role in development, immune function, and diseases like cancer. Yet, major challenges remain in understanding the interactions between cellular metabolism and the epigenome. How the levels and fluxes of various metabolites impact epigenetic marks is still unclear. Discussed herein are recent applications and the potential of systems biology methods such as flux tracing and metabolic modeling to address these challenges and to uncover new metabolic-epigenetic interactions. These systems approaches can ultimately help elucidate how nutrients shape the epigenome of microbes and mammalian cells.

Indexed as

Histone CodeReadingAnimalsEpigenesis, GeneticEpigenomicsHistonesHumansNutrientsHistonesNutrients

Identifiers

PMID32638413
PMCPMC11426192
OpenAlexW3041803242

What OpenQuestion holds

Textmetadata
LicenceTDM
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.