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A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F25%3A00643664" target="_blank" >RIV/61388963:_____/25:00643664 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1021/jacsau.5c01063" target="_blank" >https://doi.org/10.1021/jacsau.5c01063</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1021/jacsau.5c01063" target="_blank" >10.1021/jacsau.5c01063</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis

  • Original language description

    In/postsource fragments (ISFs) arise during electrospray ionization or ion transfer in mass spectrometry when molecular bonds break, generating ions that can complicate data interpretation. Although ISFs have been recognized for decades, their contribution to untargeted metabolomics-particularly in the context of the so-called dark matter (unannotated MS or MS/MS spectra) and the dark metabolome (unannotated molecules)-remains unsettled. This ongoing debate reflects a central tension: while some caution against overinterpreting unidentified signals lacking biological evidence, others argue that dismissing them too quickly risks overlooking genuine molecular discoveries. These discussions also raise a deeper question: what exactly should be considered part of the metabolome? As metabolomics advances toward large-scale data mining and high-throughput computational analysis, resolving these conceptual and methodological ambiguities has become essential. In this perspective, we propose a refined definition of the dark metabolome and present a systematic overview of ISFs and related ion forms, including adducts and multimers. We examine their impact on metabolite annotation, experimental design, statistical analysis, computational workflows, and repository-scale data mining. Finally, we provide practical recommendations-including a set of dos and do nots for researchers and reviewers-and discuss the broader implications of ISFs for how the field explores unknown molecular space. By embracing a more nuanced understanding of ISFs, metabolomics can achieve greater rigor, reduce misinterpretation, and unlock new opportunities for discovery.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JACS Au

  • ISSN

    2691-3704

  • e-ISSN

    2691-3704

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    23

  • Pages from-to

    5828-5850

  • UT code for WoS article

    001629437200001

  • EID of the result in the Scopus database

    2-s2.0-105025351117