دورية أكاديمية

Determination of Abundant Metabolite Matrix Adducts Illuminates the Dark Metabolome of MALDI-Mass Spectrometry Imaging Datasets.

التفاصيل البيبلوغرافية
العنوان: Determination of Abundant Metabolite Matrix Adducts Illuminates the Dark Metabolome of MALDI-Mass Spectrometry Imaging Datasets.
المؤلفون: Janda M; Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany., Seah BKB; Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany., Jakob D; Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany., Beckmann J; Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany., Geier B; Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany., Liebeke M; Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany.
المصدر: Analytical chemistry [Anal Chem] 2021 Jun 22; Vol. 93 (24), pp. 8399-8407. Date of Electronic Publication: 2021 Jun 07.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6882 (Electronic) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Washington, American Chemical Society.
مواضيع طبية MeSH: Metabolome* , Metabolomics*, Diagnostic Imaging ; Lipids ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
مستخلص: Spatial metabolomics using mass spectrometry imaging (MSI) is a powerful tool to map hundreds to thousands of metabolites in biological systems. One major challenge in MSI is the annotation of m / z values, which is substantially complicated by background ions introduced throughout the chemicals and equipment used during experimental procedures. Among many factors, the formation of adducts with sodium or potassium ions, or in case of matrix-assisted laser desorption ionization (MALDI)-MSI, the presence of abundant matrix clusters strongly increases total m / z peak counts. Currently, there is a limitation to identify the chemistry of the many unknown peaks to interpret their biological function. We took advantage of the co-localization of adducts with their parent ions and the accuracy of high mass resolution to estimate adduct abundance in 20 datasets from different vendors of mass spectrometers. Metabolites ranging from lipids to amines and amino acids form matrix adducts with the commonly used 2,5-dihydroxybenzoic acid (DHB) matrix like [M + (DHB-H 2 O) + H] + and [M + DHB + Na] + . Current data analyses neglect those matrix adducts and overestimate total metabolite numbers, thereby expanding the number of unidentified peaks. Our study demonstrates that MALDI-MSI data are strongly influenced by adduct formation across different sample types and vendor platforms and reveals a major influence of so far unrecognized metabolite-matrix adducts on total peak counts (up to one third). We developed a software package, mass 2 adduct , for the community for an automated putative assignment and quantification of metabolite-matrix adducts enabling users to ultimately focus on the biologically relevant portion of the MSI data.
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المشرفين على المادة: 0 (Lipids)
تواريخ الأحداث: Date Created: 20210607 Date Completed: 20210630 Latest Revision: 20210630
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC8223199
DOI: 10.1021/acs.analchem.0c04720
PMID: 34097397
قاعدة البيانات: MEDLINE
الوصف
تدمد:1520-6882
DOI:10.1021/acs.analchem.0c04720