Evidence map›Paper›PMID 29278491›Full record

ArticleAnalytical chemistry2018

IMTBX and Grppr: Software for Top-Down Proteomics Utilizing Ion Mobility-Mass Spectrometry.

Dmitry M Avtonomov, Daniel A Polasky, Brandon T Ruotolo, Alexey I Nesvizhskii

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. diaTracer enables spectrum-centric analysis of diaPASEF proteomics data.bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Free Radical-Based Sequencing for Native Top-Down Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2022
    Article
  6. Article
  7. Review
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.

Dmitry M AvtonomovDepartment of Pathology, ‡Department of Chemistry, and §Department of Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan United States.ORCID 0000-0002-8758-3901
Daniel A PolaskyDepartment of Pathology, ‡Department of Chemistry, and §Department of Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan United States.
Brandon T RuotoloDepartment of Pathology, ‡Department of Chemistry, and §Department of Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan United States.ORCID 0000-0002-6084-2328
Alexey I NesvizhskiiDepartment of Pathology, ‡Department of Chemistry, and §Department of Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan United States.

Funding

Next-generation Mass Spectrometry Technologies for Integrated Structural Proteomics- RenewalR01GM095832 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RUOTOLO, BRANDON T · 2011 to 2024
$5.8M
COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
NCI NIH HHS U24 CA210967NIGMS NIH HHS R01 GM094231NIGMS NIH HHS R01 GM095832
6 · The paper itself

Abstract

Top-down proteomics has emerged as a transformative method for the analysis of protein sequence and post-translational modifications (PTMs). Top-down experiments have historically been performed primarily on ultrahigh resolution mass spectrometers due to the complexity of spectra resulting from fragmentation of intact proteins, but recent advances in coupling ion mobility separations to faster, lower resolution mass analyzers now offer a viable alternative. However, software capable of interpreting the highly complex two-dimensional spectra that result from coupling ion mobility separation to top-down experiments is currently lacking. In this manuscript we present a software suite consisting of two programs, IMTBX ("IM Toolbox") and Grppr ("Grouper"), that enable fully automated processing of such data. We demonstrate the capabilities of this software suite by examining a series of intact proteins on a Waters Synapt G2 ion-mobility equipped mass spectrometer and compare the results to the manual and semiautomated data analysis procedures we have used previously.

Indexed as

SoftwareAnimalsCattleChickensHumansMass SpectrometryProteinsProteomicsRabbitsProteins

Identifiers

PMID29278491
PMCPMC5826643

What OpenQuestion holds

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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.