Evidence map›Paper›PMID 21786763›Full record

ReviewBiochemistry2011

Investigating endogenous peptides and peptidases using peptidomics.

Arthur D Tinoco, Alan Saghatelian

Abstract readReview
In one paragraph

Review in Biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Hyperpolarization Modulation of the T-Type hCaAngewandte Chemie (International ed. in English) · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Peptidomics and Capillary Electrophoresis.Advances in experimental medicine and biology · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. An Optimized Informatics Pipeline for Mass Spectrometry-Based Peptidomics.Journal of the American Society for Mass Spectrometry · 2015
    Article
  14. Article
  15. Review
  16. Potent humanin analog increases glucose-stimulated insulin secretion through enhanced metabolism in the β cell.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2013
    Article
  17. Article
  18. Article
  19. Article
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

2 authors.

Arthur D TinocoDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States.
Alan Saghatelian

Funding

Discovery metabolite profiling of the prolyl peptidasesDP2OD002374 · OD · HARVARD UNIVERSITY · PI SAGHATELIAN, ALAN · 2007 to 2009
$2.6M
NIH HHS 1DP2OD002374NIH HHS DP2 OD002374
6 · The paper itself

Abstract

Rather than simply being protein degradation products, peptides have proven to be important bioactive molecules. Bioactive peptides act as hormones, neurotransmitters, and antimicrobial agents in vivo. The dysregulation of bioactive peptide signaling is also known to be involved in disease, and targeting peptide hormone pathways has been a successful strategy in the development of novel therapeutics. The importance of bioactive peptides in biology has spurred research to elucidate the function and regulation of these molecules. Classical methods for peptide analysis have relied on targeted immunoassays, but certain scientific questions necessitated a broader and more detailed view of the peptidome--all the peptides in a cell, tissue, or organism. In this review we discuss how peptidomics has emerged to fill this need through the application of advanced liquid chromatography--tandem mass spectrometry (LC-MS/MS) methods that provide unique insights into peptide activity and regulation.

Indexed as

AnimalsChromatography, LiquidHumansPeptide FragmentsPeptide HydrolasesPeptidomimeticsProteomicsTandem Mass SpectrometryPeptide FragmentsPeptide HydrolasesPeptidomimetics

Identifiers

PMID21786763
PMCPMC3418817

What OpenQuestion holds

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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.