Evidence map›Paper›PMID 26105512›Full record

ArticleAnalytical and bioanalytical chemistry2015

Data-independent-acquisition mass spectrometry for identification of targeted-peptide site-specific modifications.

Caleb J Porter, Michael S Bereman

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

2 authors.

Caleb J PorterDepartment of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA.
Michael S Bereman

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Andrew R. Binder · 2015 to 2026
$18.3M
NIEHS NIH HHS P30 ES025128
6 · The paper itself

Abstract

We present a novel strategy based on data-independent acquisition coupled to targeted data extraction for the detection and identification of site-specific modifications of targeted peptides in a completely unbiased manner. This method requires prior knowledge of the site of the modification along the peptide backbone from the protein of interest, but not the mass of the modification. The procedure, named multiplex adduct peptide profiling (MAPP), consists of three steps: 1) A fragment-ion tag is extracted from the data, consisting of the b-type and y-type ion series from the N and C-terminus, respectively, up to the amino-acid position that is believed to be modified; 2) MS1 features are matched to the fragment-ion tag in retention-time space, using the isolation window as a pre-filter to enable calculation of the mass of the modification; and 3) modified fragment ions are overlaid with the unmodified fragment ions to verify the mass calculated in step 2. We discuss the development, applications, and limitations of this new method for detection of unknown peptide modifications. We present an application of the method in profiling adducted peptides derived from abundant proteins in biological fluids with the ultimate objective of detecting biomarkers of exposure to reactive species.

Indexed as

AlgorithmsAmino AcidsBinding SitesChromatography, LiquidDatabases, ProteinData MiningPeptidesProtein BindingProtein Interaction MappingReproducibility of ResultsSensitivity and SpecificitySpectrometry, Mass, Electrospray IonizationAmino AcidsPeptides

Identifiers

PMID26105512
PMCPMC5257204

What OpenQuestion holds

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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.