Evidence map›Paper›PMID 28554803›Full record

ReviewMolecular and cellular endocrinology2018

Integrated omics approaches to characterize a nuclear receptor corepressor-associated histone deacetylase in mouse skeletal muscle.

Yingyun Gong, Rui Cao, Guolian Ding, Sungguan Hong, Wenjun Zhou, Wenyun Lu, Manashree Damle, Bin Fang, Chuhan C Wang, Justin Qian and 4 more

Abstract readReview
In one paragraph

Review in Molecular and cellular endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Yingyun GongDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Rui CaoDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Guolian DingDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Sungguan HongDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Wenjun ZhouDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Wenyun LuLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, United States.
Manashree DamleDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, The Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Bin FangDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, The Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Chuhan C WangDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Justin QianDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Natasha LieDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States.
Cristina LanzillottaDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, The Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Joshua D RabinowitzLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, United States.
Zheng SunDivision of Diabetes, Endocrinology and Metabolism, Department of Medicine, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, United States. Electronic address: zheng.sun@bcm.edu.
Baylor College of Medicine · USUniversity of Pennsylvania · USPrinceton University · US

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
TRAINING PROGRAM IN CELL AND MOLECULAR BIOLOGYT32GM008231 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI NELSON, DAVID LOREN · 1990 to 2019
$7.2M
Diabetes Endocrinology Research CenterP30DK079638 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI CHAN, LAWRENCE · 2008 to 2012
$6.4M
Gender-Specific Effects of Arsenic in DiabetesR01ES027544 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI SUN, ZHENG · 2017 to 2021
$2.2M
Epigenomic Remodeling of Metabolism by Exercise through AP-1R01DK111436 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI SUN, ZHENG · 2017 to 2020
$2.0M
Revealing cancer metabolism via mass spectrometry and isotope tracersR50CA211437 · NCI · PRINCETON UNIVERSITY · PI Wenyun Lu · 2016 to 2026
$1.3M
Epigenomic regulation of metabolism in muscle by circadian clock and environmentR00DK099443 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI SUN, ZHENG · 2014 to 2016
$747k
Epigenomic regulation of metabolism in muscle by circadian clock and environmentK99DK099443 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUN, ZHENG · 2013 to 2014
$97k
NCI NIH HHS R50 CA211437NIDDK NIH HHS K99 DK099443NIDDK NIH HHS P30 DK056338NIDDK NIH HHS P30 DK079638NIDDK NIH HHS R00 DK099443NIDDK NIH HHS R01 DK111436NIEHS NIH HHS R01 ES027544NIGMS NIH HHS T32 GM008231
6 · The paper itself

Abstract

Nuclear receptors regulate gene expression by differentially binding to coactivators or corepressors in a ligand-dependent manner, which further recruits a set of epigenome-modifying enzymes that remodel chromatin conformation. Histone acetylation is a major epigenomic change controlled by histone acetyltransferases (HATs) and histone deacetylases (HDACs). HDAC3 is the only HDAC that confers the enzymatic activity to the complexes nucleated by nuclear receptor corepressors NCoR and SMRT. To address the metabolic function of HDAC3, we have deleted it specifically in mouse skeletal muscles. We have performed the following omics profiling in skeletal muscles of these mice: (1) RNA-seq profiling of total RNA; (2) Global nuclear run-on (GRO-seq) analysis of nascent RNAs; (3) Chromatin immuno-precipitation (ChIP-seq) of HDAC3 at both early evening and early morning; (4) proteomics profiling with mass spectrometry; (5) snap-shot metabolomics profiling of water-soluble metabolites at the basal condition; (6) snap-shot metabolomics profiling of lipid species at the basal condition; (7) kinetic fluxomics analysis of glucose utilization using

Indexed as

AnimalsEpigenesis, GeneticGenomicsHistone Deacetylase 3Histone DeacetylasesKineticsLipid MetabolismMetabolic Flux AnalysisMetabolomicsMice, KnockoutMuscle, SkeletalNuclear Receptor Co-Repressor 1ProteomicsTranscriptomeHistone Deacetylase 3Histone DeacetylasesNuclear Receptor Co-Repressor 1

Identifiers

PMID28554803
PMCPMC5702591
OpenAlexW2619183966

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.