MIAMI--a tool for non-targeted detection of metabolic flux changes for mode of action identification.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 06 2020
Historique:
received: 13 09 2019
revised: 13 02 2020
accepted: 16 04 2020
pubmed: 24 4 2020
medline: 29 12 2020
entrez: 24 4 2020
Statut: ppublish

Résumé

Mass isotopolome analysis for mode of action identification (MIAMI) combines the strengths of targeted and non-targeted approaches to detect metabolic flux changes in gas chromatography/mass spectrometry datasets. Based on stable isotope labeling experiments, MIAMI determines a mass isotopomer distribution-based (MID) similarity network and incorporates the data into metabolic reference networks. By identifying MID variations of all labeled compounds between different conditions, targets of metabolic changes can be detected. We implemented the data processing in C++17 with Qt5 back-end using MetaboliteDetector and NTFD libraries. The data visualization is implemented as web application. Executable binaries and visualization are freely available for Linux operating systems, the source code is licensed under General Public License version 3.

Identifiants

pubmed: 32324861
pii: 5824294
doi: 10.1093/bioinformatics/btaa251
pmc: PMC7320603
doi:

Substances chimiques

Carbon Isotopes 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3925-3926

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

Références

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Auteurs

Christian-Alexander Dudek (CA)

Department of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Braunschweig 38106, Germany.

Carsten Reuse (C)

Department of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Braunschweig 38106, Germany.

Regine Fuchs (R)

BASF Metabolome Solutions GmbH, Berlin 10589, Germany.

Janneke Hendriks (J)

BASF Metabolome Solutions GmbH, Berlin 10589, Germany.

Veronique Starck (V)

BASF Metabolome Solutions GmbH, Berlin 10589, Germany.
BASF SE, Lampertheim 68623, Germany.

Karsten Hiller (K)

Department of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Braunschweig 38106, Germany.
Department of Immunometabolism, Helmholtz Center for Infection Research, Braunschweig 38124, Germany.

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Classifications MeSH