Evidence map›Paper›PMID 20731397›Full record

ArticleJournal of proteome research2010

Improving mass defect filters for human proteins.

Melinda L Toumi, Heather Desaire

Abstract read
In one paragraph

Article in Journal of proteome research, 2010. 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. Article
  3. Article
  4. Article
  5. Advanced Multidimensional Separations in Mass Spectrometry: Navigating the Big Data Deluge.Annual review of analytical chemistry (Palo Alto, Calif.) · 2016
    Article
  6. Article
  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

2 authors.

Melinda L ToumiDepartment of Chemistry, University of Kansas, Lawrence, Kansas 66045, USA.
Heather Desaire

Funding

Development of a rapid glycosylation profiling system using mass spectrometry datR01GM103547 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI DESAIRE, HEATHER R · 2012 to 2017
$1.8M
Development of a rapid glycosylation profiling system using mass spec dataR01RR026061 · NCRR · UNIVERSITY OF KANSAS LAWRENCE · PI DESAIRE, HEATHER R · 2009 to 2011
$935k
NCRR NIH HHS R01 RR026061NCRR NIH HHS R01RR026061NIGMS NIH HHS R01 GM103547
6 · The paper itself

Abstract

The mass defect of a substance can be used in mass spectral analysis to identify peaks as likely belonging to a compound class, such as peptides, if the mass defect is within the known range for that compound class. For peptides, a range of possible mass defects was calculated previously, using a set of theoretical peptides, where all possible amino acid combinations were considered (Mann , M. Abstract from the 43(rd) Annual Conference on Mass Spectrometry and Allied Topics; Conference Proceedings , 1995). We compare that range of theoretical peptide mass defects to new values obtained from in silico tryptic digests of proteins that are abundant in human serum and human seminal fluid. The range of mass defect values encompassing 95% of peptides for the human protein data sets was found to be up to 50% smaller than the previously reported mass defect range for the theoretical peptides. The smaller range established for human tryptic peptides can be used to improve peptide mass defect filters by excluding more species that are not likely to be peptides, thus improving filter selectivity for peptides during proteomic data analysis.

Indexed as

AlgorithmsBlood ProteinsHumansMaleMass SpectrometryProteinsProteomicsReproducibility of ResultsSemenBlood ProteinsProteins

Identifiers

PMID20731397
PMCPMC2952931

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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.