Evidence map›Paper›PMID 22586074›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Instant spectral assignment for advanced decision tree-driven mass spectrometry.

Derek J Bailey, Christopher M Rose, Graeme C McAlister, Justin Brumbaugh, Pengzhi Yu, Craig D Wenger, Michael S Westphall, James A Thomson, Joshua J Coon

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  18. Review
  19. A calibration routine for efficient ETD in large-scale proteomics.Journal of the American Society for Mass Spectrometry · 2015
    Article
  20. Novor: real-time peptide de novo sequencing software.Journal of the American Society for Mass Spectrometry · 2015
    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

9 authors.

Derek J BaileyDepartment of Chemistry, University of Wisconsin, Madison, WI 53706, USA.
Christopher M Rose
Graeme C McAlister
Justin Brumbaugh
Pengzhi Yu
Craig D Wenger
Michael S Westphall
James A Thomson
Joshua J Coon

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
Wisconsin Center of Excellence in Genomics ScienceP50HG004952 · NHGRI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI OLIVIER, MICHAEL · 2009 to 2013
$13.0M
Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
The Epigenotype of Human ES CellsP01GM081629 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI THOMSON, JAMES ALEXANDER · 2008 to 2012
$8.9M
NHGRI NIH HHS HG004952NHGRI NIH HHS P50 HG004952NIGMS NIH HHS 5T32GM08349NIGMS NIH HHS GM081629NIGMS NIH HHS P01 GM081629NIGMS NIH HHS T32 GM008349NIGMS NIH HHS T32 GM008505NIGMS NIH HHS T32GM008505
6 · The paper itself

Abstract

We have developed and implemented a sequence identification algorithm (inSeq) that processes tandem mass spectra in real-time using the mass spectrometer's (MS) onboard processors. The inSeq algorithm relies on accurate mass tandem MS data for swift spectral matching with high accuracy. The instant spectral processing technology takes ∼16 ms to execute and provides information to enable autonomous, real-time decision making by the MS system. Using inSeq and its advanced decision tree logic, we demonstrate (i) real-time prediction of peptide elution windows en masse (∼3 min width, 3,000 targets), (ii) significant improvement of quantitative precision and accuracy (~3x boost in detected protein differences), and (iii) boosted rates of posttranslation modification site localization (90% agreement in real-time vs. offline localization rate and an approximate 25% gain in localized sites). The decision tree logic enabled by inSeq promises to circumvent problems with the conventional data-dependent acquisition paradigm and provides a direct route to streamlined and expedient targeted protein analysis.

Indexed as

AlgorithmsAmino Acid SequenceBinding SitesCells, CulturedChromatography, High Pressure LiquidDatabases, ProteinDecision TreesHumansMolecular Sequence DataPeptidesProtein Processing, Post-TranslationalProteinsReproducibility of ResultsSoftwareTandem Mass SpectrometryTime FactorsPeptidesProteins

Identifiers

PMID22586074
PMCPMC3365209

What OpenQuestion holds

Textmetadata
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.