Evidence map›Paper›PMID 22578083›Full record

ArticleJournal of proteome research2012

Discovery of novel glucose-regulated proteins in isolated human pancreatic islets using LC-MS/MS-based proteomics.

Alexandra C Schrimpe-Rutledge, Ghislaine Fontès, Marina A Gritsenko, Angela D Norbeck, David J Anderson, Katrina M Waters, Joshua N Adkins, Richard D Smith, Vincent Poitout, Thomas O Metz

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  7. The role of candidate transport proteins in β-cell long-chain fatty acid uptake: Where are we now?Diabetic medicine : a journal of the British Diabetic Association · 2023
    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

10 authors at 2 institutions in 2 countries.

Alexandra C Schrimpe-RutledgeBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
Ghislaine Fontès
Marina A Gritsenko
Angela D Norbeck
David J Anderson
Katrina M Waters
Joshua N Adkins
Richard D Smith
Vincent Poitout
Thomas O Metz
Pacific Northwest National Laboratory · USUniversité de Montréal · CA

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
Proteomics and Metabolomics Studies of Type 1 DiabetesR33DK070146 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2006 to 2008
$1.9M
Proteomics and Metabolomics Studies of Type 1 DiabetesR21DK070146 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2004 to 2004
$317k
SURFACE CHEMISTRY OF MYCOBACTERIAR01AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1989 to 1989
–
SURFACE CHEMISTRY OF MYCOBACTERIAR22AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1985 to 1989
–
NCRR NIH HHS P41 RR018522NIAID NIH HHS Y01 AI008401NIDDK NIH HHS DK070146NIDDK NIH HHS R21 DK070146NIDDK NIH HHS R33 DK070146
6 · The paper itself

Abstract

The prevalence of diabetes mellitus is increasing dramatically throughout the world, and the disease has become a major public health issue. The most common form of the disease, type 2 diabetes, is characterized by insulin resistance and insufficient insulin production from the pancreatic beta-cell. Since glucose is the most potent regulator of beta-cell function under physiological conditions, identification of the insulin secretory defect underlying type 2 diabetes requires a better understanding of glucose regulation of human beta-cell function. To this aim, a bottom-up LC-MS/MS-based proteomics approach was used to profile pooled islets from multiple donors under basal (5 mM) or high (15 mM) glucose conditions. Our analysis discovered 256 differentially abundant proteins (∼p < 0.05) after 24 h of high glucose exposure from more than 4500 identified in total. Several novel glucose-regulated proteins were elevated under high glucose conditions, including regulators of mRNA splicing (pleiotropic regulator 1), processing (retinoblastoma binding protein 6), and function (nuclear RNA export factor 1), in addition to neuron navigator 1 and plasminogen activator inhibitor 1. Proteins whose abundances markedly decreased during incubation at 15 mM glucose included Bax inhibitor 1 and synaptotagmin-17. Up-regulation of dicer 1 and SLC27A2 and down-regulation of phospholipase Cβ4 were confirmed by Western blots. Many proteins found to be differentially abundant after high glucose stimulation are annotated as uncharacterized or hypothetical. These findings expand our knowledge of glucose regulation of the human islet proteome and suggest many hitherto unknown responses to glucose that require additional studies to explore novel functional roles.

Indexed as

AcetyltransferasesChromatography, Ion ExchangeChromatography, Reverse-PhaseCluster AnalysisCoenzyme A LigasesDEAD-box RNA HelicasesFatty Acid ElongasesGene Expression RegulationGlucoseHumansIntracellular Signaling Peptides and ProteinsIslets of LangerhansLong-Chain-Fatty-Acid-CoA LigaseMitochondriaPeptide MappingPhospholipase C betaAcetyltransferasesCoenzyme A LigasesDEAD-box RNA HelicasesDICER1 protein, humanFatty Acid ElongasesGlucoseIntracellular Signaling Peptides and ProteinsLong-Chain-Fatty-Acid-CoA LigasePhospholipase C betaPLCB4 protein, humanProteomeRibonuclease III

Identifiers

PMID22578083
PMCPMC3391329
OpenAlexW1994409741

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.