Evidence map›Paper›PMID 23140645›Full record

ArticleCell metabolism2012

A quantitative map of the liver mitochondrial phosphoproteome reveals posttranslational control of ketogenesis.

Paul A Grimsrud, Joshua J Carson, Alex S Hebert, Shane L Hubler, Natalie M Niemi, Derek J Bailey, Adam Jochem, Donald S Stapleton, Mark P Keller, Michael S Westphall and 4 more

Abstract read
In one paragraph

Article in Cell metabolism, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
    Review
  2. Review
  3. Review
  4. Posttranslational Regulation of Mammalian Sulfur Amino Acid Metabolism.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Conformational plasticity links structural instability of NAA10Computational and structural biotechnology journal · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Mitochondrial proteome research: the road ahead.Nature reviews. Molecular cell biology · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Mitochondrial heterogeneity in diseases.Signal transduction and targeted therapy · 2023
    Review
  17. Article
  18. Review
  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

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.

Paul A GrimsrudDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.
Joshua J Carson
Alex S Hebert
Shane L Hubler
Natalie M Niemi
Derek J Bailey
Adam Jochem
Donald S Stapleton
Mark P Keller
Michael S Westphall
Brian S Yandell
Alan D Attie
Joshua J Coon
David J Pagliarini

Funding

Genetic Mapping of Networks Associated with Beta-cell D*R01DK066369 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ATTIE, ALAN D · 2004 to 2014
$6.3M
The Genetics of Obesity and DiabetesR01DK058037 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ATTIE, ALAN D · 2001 to 2013
$5.7M
Regulation of Mitochondrial Metabolism by Post-Translational ModificationsR01DK098672 · NIDDK · WASHINGTON UNIVERSITY · PI David J Pagliarini · 2013 to 2026
$4.8M
Sequential Ion/Ion Reactions for Large Peptide and Whole Protein CharacterizationR01GM080148 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2007 to 2015
$3.0M
Bayesian Methods for Mapping Complex Epistatic GenesR01GM069430 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YI, NENGJUN · 2005 to 2013
$2.3M
Quantitative Mitochondrial Proteomics of Healthy and Diabetic MiceRC1DK086410 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI PAGLIARINI, DAVID J · 2009 to 2010
$913k
Defining Molecular Determinants of Type 2 Diabetes Using Quantitative ProteomicsF32DK091049 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI GRIMSRUD, PAUL A. · 2011 to 2013
$166k
NIDDK NIH HHS F32 DK091049NIDDK NIH HHS F32DK091049NIDDK NIH HHS R01 DK058037NIDDK NIH HHS R01DK058037NIDDK NIH HHS R01 DK066369NIDDK NIH HHS R01 DK098672NIDDK NIH HHS R01DK66369NIDDK NIH HHS RC1 DK086410NIDDK NIH HHS RC1DK086410NIGMS NIH HHS R01 GM069430NIGMS NIH HHS R01 GM080148NIGMS NIH HHS R01GM080148
6 · The paper itself

Abstract

Mitochondria are dynamic organelles that play a central role in a diverse array of metabolic processes. Elucidating mitochondrial adaptations to changing metabolic demands and the pathogenic alterations that underlie metabolic disorders represent principal challenges in cell biology. Here, we performed multiplexed quantitative mass spectrometry-based proteomics to chart the remodeling of the mouse liver mitochondrial proteome and phosphoproteome during both acute and chronic physiological transformations in more than 50 mice. Our analyses reveal that reversible phosphorylation is widespread in mitochondria, and is a key mechanism for regulating ketogenesis during the onset of obesity and type 2 diabetes. Specifically, we have demonstrated that phosphorylation of a conserved serine on Hmgcs2 (S456) significantly enhances its catalytic activity in response to increased ketogenic demand. Collectively, our work describes the plasticity of this organelle at high resolution and provides a framework for investigating the roles of proteome restructuring and reversible phosphorylation in mitochondrial adaptation.

Indexed as

AnimalsDatabases, FactualHEK293 CellsHumansHydroxymethylglutaryl-CoA SynthaseKetone BodiesMiceMice, ObeseMitochondria, LiverPhosphopeptidesPhosphorylationProteomeProteomicsTandem Mass SpectrometryHydroxymethylglutaryl-CoA SynthaseKetone BodiesPhosphopeptidesProteome

Identifiers

PMID23140645
PMCPMC3506251

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.