Evidence map›Paper›PMID 23949379›Full record

ArticleNature protocols2013

Analysis of the proteolysis of bioactive peptides using a peptidomics approach.

Yun-Gon Kim, Anna Mari Lone, Alan Saghatelian

Abstract read
In one paragraph

Article in Nature protocols, 2013. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

3 authors.

Yun-Gon KimDepartment of Chemical Engineering, Soongsil University, Seoul, South Korea.
Anna Mari Lone
Alan Saghatelian

Funding

Training in Molecular, Cellular, and Chemical BiologyT32GM007598 · NIGMS · HARVARD UNIVERSITY · PI DULAC, CATHERINE · 1985 to 2019
$16.2M
Discovery metabolite profiling of the prolyl peptidasesDP2OD002374 · OD · HARVARD UNIVERSITY · PI SAGHATELIAN, ALAN · 2007 to 2009
$2.6M
NIGMS NIH HHS GM007598NIGMS NIH HHS T32 GM007598NIH HHS DP2 OD002374NIH HHS DP2OD002374
6 · The paper itself

Abstract

Identifying the peptidases that inactivate bioactive peptides (e.g., peptide hormones and neuropeptides) in mammals is an important unmet challenge. This protocol describes a recent approach that uses liquid chromatography-mass spectrometry (LC-MS) peptidomics to identify endogenous cleavage sites of a bioactive peptide; it also addresses the subsequent biochemical purification of a candidate peptidase on the basis of these cleavage sites and the validation of the candidate peptidase's role in the physiological regulation of the bioactive peptide by examining a peptidase-knockout mouse. We highlight the successful application of this protocol in the discovery that insulin-degrading enzyme (IDE) regulates physiological calcitonin gene-related peptide (CGRP) levels, and we detail the key stages and steps in this approach. This protocol requires 7 d of work; however, the total time for this protocol is highly variable because of its dependence on the availability of biological reagents such as purified enzymes and knockout mice. The protocol is valuable because it expedites the characterization of mammalian peptidases, such as IDE, which in certain instances can be used to develop novel therapeutics.

Indexed as

ProteolysisAnimalsCalcitonin Gene-Related PeptideChromatography, LiquidGene Knockout TechniquesInsulysinMass SpectrometryMiceMice, Inbred C57BLMice, KnockoutPeptide HydrolasesProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSubstrate SpecificityCalcitonin Gene-Related PeptideInsulysinPeptide Hydrolases

Identifiers

PMID23949379
PMCPMC4170687

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Registered trials

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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.