Evidence map›Paper›PMID 21888428›Full record

ArticleJournal of proteome research2011

A novel alignment method and multiple filters for exclusion of unqualified peptides to enhance label-free quantification using peptide intensity in LC-MS/MS.

Xianyin Lai, Lianshui Wang, Haixu Tang, Frank A Witzmann

Abstract read
In one paragraph

Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  5. On the Reproducibility of Label-Free Quantitative Cross-Linking/Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2018
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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

4 authors.

Xianyin LaiDepartment of Cellular & Integrative Physiology, Indiana University School of Medicine , Indianapolis, Indiana 46202, United States. xlai@iupui.edu
Lianshui Wang
Haixu Tang
Frank A Witzmann

Funding

Nanoparticle Effects on Epithelial Cell Protein Expression and FunctionR01GM085218 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI WITZMANN, FRANK A · 2008 to 2012
$2.1M
Characterization Methodologies & Proteomics to Assess Carbon Nanotube ExposureRC2ES018810 · NIEHS · INDIANA UNIVERSITY INDIANAPOLIS · PI MITRA, SOMENATH, WITZMANN, FRANK A · 2009 to 2012
$1.5M
Computational approaches to protein identification and quantification using MS/MSR01RR024236 · NCRR · TRUSTEES OF INDIANA UNIVERSITY · PI RADIVOJAC, PREDRAG · 2008 to 2010
$810k
NCRR NIH HHS R01 RR024236NCRR NIH HHS R01RR024236-01A1NIEHS NIH HHS RC2 ES018810NIEHS NIH HHS RC2ES018810NIGMS NIH HHS R01 GM085218NIGMS NIH HHS R01GM085218
6 · The paper itself

Abstract

Though many software packages have been developed to perform label-free quantification of proteins in complex biological samples using peptide intensities generated by LC-MS/MS, two critical issues are generally ignored in this field: (i) peptides have multiple elution patterns across runs in an experiment, and (ii) many peptides cannot be used for protein quantification. To address these two key issues, we have developed a novel alignment method to enable accurate peptide peak retention time determination and multiple filters to eliminate unqualified peptides for protein quantification. Repeatability and linearity have been tested using six very different samples, i.e., standard peptides, kidney tissue lysates, HT29-MTX cell lysates, depleted human serum, human serum albumin-bound proteins, and standard proteins spiked in kidney tissue lysates. At least 90.8% of the proteins (up to 1,390) had CVs ≤ 30% across 10 technical replicates, and at least 93.6% (up to 2,013) had R(2) ≥ 0.9500 across 7 concentrations. Identical amounts of standard protein spiked in complex biological samples achieved a CV of 8.6% across eight injections of two groups. Further assessment was made by comparing mass spectrometric results to immunodetection, and consistent results were obtained. The new approach has novel and specific features enabling accurate label-free quantification.

Indexed as

CalibrationChromatography, LiquidComputational BiologyHT29 CellsHumansMass SpectrometryPeptidesProteomicsReproducibility of ResultsSerum AlbuminSoftwareStaining and LabelingTandem Mass SpectrometryTime FactorsPeptidesSerum Albumin

Identifiers

PMID21888428
PMCPMC3216047

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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.