A universal language for finding mass spectrometry data patterns.

Damiani T, Jarmusch AK, Aron AT, Petras D, Phelan VV, Zhao HN, Bittremieux W, Acharya DD, Ahmed MMA, Bauermeister A, Bertin MJ, Boudreau PD, Borges RM, Bowen BP, Brown CJ, Chagas FO, Clevenger KD, Correia MSP, Crandall WJ, Crüsemann M, Fahy E, Fiehn O, Garg N, Gerwick WH, Gilbert JR, Globisch D, Gomes PWP, Heuckeroth S, James CA, Jarmusch SA, Kakhkhorov SA, Kang KB, Kessler N, Kersten RD, Kim H, Kirk RD, Kohlbacher O, Kontou EE, Liu K, Lizama-Chamu I, Luu GT, Luzzatto Knaan T, Mannochio-Russo H, Marty MT, Matsuzawa Y, McAvoy AC, McCall LI, Mohamed OG, Nahor O, Neuweger H, Niedermeyer THJ, Nishida K, Northen TR, Overdahl KE, Rainer J, Reher R, Rodriguez E, Sachsenberg TT, Sanchez LM, Schmid R, Stevens C, Subramaniam S, Tian Z, Tripathi A, Tsugawa H, van der Hooft JJJ, Vicini A, Walter A, Weber T, Xiong Q, Xu T, Pluskal T, Dorrestein PC, Wang M

Nat. Methods 22 (6) 1247-1254 [2025-06-00; online 2025-05-12]

Despite being information rich, the vast majority of untargeted mass spectrometry data are underutilized; most analytes are not used for downstream interpretation or reanalysis after publication. The inability to dive into these rich raw mass spectrometry datasets is due to the limited flexibility and scalability of existing software tools. Here we introduce a new language, the Mass Spectrometry Query Language (MassQL), and an accompanying software ecosystem that addresses these issues by enabling the community to directly query mass spectrometry data with an expressive set of user-defined mass spectrometry patterns. Illustrated by real-world examples, MassQL provides a data-driven definition of chemical diversity by enabling the reanalysis of all public untargeted metabolomics data, empowering scientists across many disciplines to make new discoveries. MassQL has been widely implemented in multiple open-source and commercial mass spectrometry analysis tools, which enhances the ability, interoperability and reproducibility of mining of mass spectrometry data for the research community.

PubMed 40355727

DOI 10.1038/s41592-025-02660-z

Crossref 10.1038/s41592-025-02660-z

mid: NIHMS2097565
pmc: PMC12334354
pii: 10.1038/s41592-025-02660-z


Publications 9.5.1