Evidence map›Paper›PMID 38438732›Full record

ReviewProteomics2024

Computational tools and algorithms for ion mobility spectrometry-mass spectrometry.

Dylan H Ross, Harsh Bhotika, Xueyun Zheng, Richard D Smith, Kristin E Burnum-Johnson, Aivett Bilbao

Open access · hybridAbstract readReview
In one paragraph

Review in Proteomics, 2024. 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
3.9field-weighted citation impact, top 6% of its field
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, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Computational Tools for LC-IMS-MS Data Processing in Metabolomics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Open-Source and FAIR Research Software for Proteomics.Journal of proteome research · 2025
    Review
  11. Article
  12. 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

6 authors at 1 institution in 1 country.

Dylan H RossBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0009-0005-2943-2282
Harsh BhotikaEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Xueyun ZhengBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0001-9782-4521
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Kristin E Burnum-JohnsonEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Aivett BilbaoEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0003-2985-8249
Pacific Northwest National Laboratory · US

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
Biological and Environmental Research program DE-AC05-76RL01830Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER) program, Early Career Research Program AwardEarly Career Research Program AwardEnvironmental Molecular Sciences Laboratory (EMSL)Environmental Molecular Sciences Laboratory (EMSL), a DOE Office of Science User Facility sponsored by the Biological and Environmental Research programNIGMS NIH HHS P41 GM103493U.S. Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER) program
6 · The paper itself

Abstract

Ion mobility spectrometry-mass spectrometry (IMS-MS or IM-MS) is a powerful analytical technique that combines the gas-phase separation capabilities of IM with the identification and quantification capabilities of MS. IM-MS can differentiate molecules with indistinguishable masses but different structures (e.g., isomers, isobars, molecular classes, and contaminant ions). The importance of this analytical technique is reflected by a staged increase in the number of applications for molecular characterization across a variety of fields, from different MS-based omics (proteomics, metabolomics, lipidomics, etc.) to the structural characterization of glycans, organic matter, proteins, and macromolecular complexes. With the increasing application of IM-MS there is a pressing need for effective and accessible computational tools. This article presents an overview of the most recent free and open-source software tools specifically tailored for the analysis and interpretation of data derived from IM-MS instrumentation. This review enumerates these tools and outlines their main algorithmic approaches, while highlighting representative applications across different fields. Finally, a discussion of current limitations and expectable improvements is presented.

Indexed as

AlgorithmsIon Mobility SpectrometryMass SpectrometrySoftwareHumansMetabolomicsProteomicsalgorithmcollision‐cross sectioncomputational tooldata processingion mobility spectrometry‐mass spectrometrylipidomicsmetabolomicsproteomicssoftware

Identifiers

PMID38438732
PMCPMC11632599
OpenAlexW4392466992

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.