Evidence map›Paper›PMID 41037468›Full record

ReviewJournal of proteome research2025

mzPeak: Designing a Scalable, Interoperable, and Future-Ready Mass Spectrometry Data Format.

Tim Van Den Bossche, Theodore Alexandrov, Aivett Bilbao, Wout Bittremieux, Federico Ivan Brigante, Matthew Chase Chambers, Joshua Charkow, Eric Deutsch, Andrew W Dowsey, Yasin El Abiead and 21 more

Abstract readReview
In one paragraph

Review in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

31 authors.

Tim Van Den BosscheDepartment of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0002-5916-2587
Theodore AlexandrovDepartment of Pharmacology, University of California San Diego, La Jolla, California 92093, United States.
Aivett BilbaoEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0003-2985-8249
Wout BittremieuxUniversity of Antwerp, 2020 Antwerpen, Belgium.ORCID 0000-0002-3105-1359
Federico Ivan BriganteInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, 160 00 Prague, Czech Republic.ORCID 0000-0002-7553-8302
Matthew Chase ChambersUniversity of Washington, Seattle, Washington 98195, United States.
Joshua CharkowDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.ORCID 0000-0002-4230-3646
Eric DeutschInstitute for Systems Biology, Seattle, Washington 98109, United States.
Andrew W DowseyDepartment of Population Health Sciences, Oakfield House, Oakfield Grove, University of Bristol, BS8 2BN Bristol, United Kingdom.ORCID 0000-0002-7404-9128
Yasin El AbieadUniversity of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, San Diego, California 92093, United States.ORCID 0000-0003-4392-7706
Ralf GabrielsDepartment of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0002-1679-1711
Helge HechtRECETOX, Faculty of Science, Masaryk University, Kotlářská 2, 602 00 Brno, Czech Republic.ORCID 0000-0001-6744-996X
Steffen Heuckerothmzio GmbH, Altenwall 26, 28195 Bremen, Germany.ORCID 0000-0002-4928-2526
Joshua A KleinProgram for Bioinformatics, Boston University, Boston, Massachusetts 02215, United States.
Michael KniermanAgilent Technologies, 5301 Stevens Creek Blvd, Santa Clara, California 95051, United States.
Lennart MartensDepartment of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0003-4277-658X
Robert L MoritzInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0002-3216-9447
Laura-Isobel McCallSan Diego State University, Department of Chemistry and Biochemistry, San Diego, California 92115, United States.ORCID 0000-0002-1243-8953
Steffen NeumannLeibniz Institute of Plant Biochemistry, Halle 06120, Germany.ORCID 0000-0002-7899-7192
Yasset Perez-RiverolEuropean Molecular Biology Laboratory─European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.ORCID 0000-0001-6579-6941
Hannes L RöstDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Elliott J PriceRECETOX, Faculty of Science, Masaryk University, Kotlářská 2, 602 00 Brno, Czech Republic.
Jim ShofstahlThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.ORCID 0000-0001-5968-1742
David L TabbEuropean Research Institute for the Biology of Ageing, University Medical Center of Groningen, Groningen 9700 RB, Netherlands.
Julian UszkoreitRuhr University Bochum, Medical Faculty, Medical Bioinformatics, Bochum D-44801, Germany.ORCID 0000-0001-7522-4007
Juan Antonio VizcaínoEuropean Molecular Biology Laboratory─European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.ORCID 0000-0002-3905-4335
Mingxun WangDepartment of Computer Science, University of California Riverside, 900 University Ave. Riverside, California 92521, United States.
Sander WillemsResearch and Development, Bruker Belgium nv., Kontich 2550, Belgium.
Dirk WinkelhardtRuhr University Bochum, Medical Faculty, Medical Bioinformatics, Bochum D-44801, Germany.ORCID 0000-0001-8770-2221
Oliver KohlbacherApplied Bioinformatics, Dept. of Computer Science, University of Tübingen, Tübingen D-72074, Germany.ORCID 0000-0003-1739-4598
Samuel P WeinApplied Bioinformatics, Dept. of Computer Science, University of Tübingen, Tübingen D-72074, Germany.ORCID 0000-0002-8923-6874

Funding

Seattle Quant: A Resource for the Skyline Software EcosystemR24GM141156 · NIGMS · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 2021 to 2026
$6.7M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Mechanisms of myocarditis and progressive cardiac fibrosis in chronic Trypanosoma cruzi infection.R01AI168038 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI Kathryn Marie Jones · 2022 to 2026
$3.8M
Global proteomics mass spectrometry data sharing infrastructureR24GM148372 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Nuno Bandeira · 2023 to 2026
$2.8M
Deciphering the mechanism of action of carnitine, a novel treatment for chronic Chagas diseaseR01AI170605 · NIAID · UNIVERSITY OF OKLAHOMA · PI Laura-Isobel McCall · 2022 to 2026
$2.3M
Novel single-cell mass spectrometry methods to assess the role of intracellular drug concentration and metabolism in antimicrobial treatment failureR01AI177469 · NIAID · UNIVERSITY OF OKLAHOMA · PI Laura-Isobel McCall, Zhibo Yang · 2023 to 2026
$1.6M
An LCMS-guided bioanalytical approach for rational natural product library design and optimizationR01GM145649 · NIGMS · UNIVERSITY OF OKLAHOMA · PI CICHEWICZ, ROBERT HENRY, MCCALL, LAURA-ISOBEL · 2022 to 2025
$1.2M
Acquisition of Fusion Lumos Orbitrap mass spectrometerS10OD026936 · OD · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2019 to 2019
$600k
NIAID NIH HHS R01 AI168038NIAID NIH HHS R01 AI170605NIAID NIH HHS R01 AI177469NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R01 GM145649NIGMS NIH HHS R24 GM141156NIGMS NIH HHS R24 GM148372NIH HHS S10 OD026936Wellcome Trust
6 · The paper itself

Abstract

Advances in mass spectrometry (MS) instrumentation, including higher resolution, faster scan speeds, and improved sensitivity, have dramatically increased the data volume and complexity. The adoption of imaging and ion mobility further amplifies these challenges in proteomics, metabolomics, and lipidomics. Current open formats such as mzML and imzML struggle to keep pace due to large file sizes, slow data access, and limited metadata support. Vendor-specific formats offer faster access but lack interoperability and long-term archival guarantees. We here lay the groundwork for mzPeak, a next-generation community data format designed to address these challenges and support high-throughput, multidimensional MS workflows. By adopting a hybrid model that combines efficient binary storage for numerical data and both human- and machine-readable metadata storage, mzPeak will reduce file sizes, accelerate data access, and offer a scalable, adaptable solution for evolving MS technologies. For researchers, mzPeak will support complex workflows and regulatory compliance through faster access, improved metadata, and interoperability. For vendors, it offers a streamlined, open alternative to proprietary formats. mzPeak aims to become a cornerstone of MS data management, enabling sustainable, high-performance solutions for future data types and fostering collaboration across the mass spectrometry community.

Indexed as

Mass SpectrometryProteomicsSoftwareHumansMetabolomicsWorkflowdata formatslipidomicsmass spectrometrymetabolomicsproteomicsproteomics standards initiativestandards

Identifiers

PMID41037468
PMCPMC12604042

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.