Title: | Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data |
Author: |
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Date: | 2019-05-15 |
Language: | English |
Scope: | e59219 |
University/Institute: | Háskóli Íslands University of Iceland |
School: | Heilbrigðisvísindasvið (HÍ) School of Health Sciences (UI) |
Department: | Lyfjafræðideild (HÍ) Faculty of Pharmaceutical Sciences (UI) |
Series: | Journal of Visualized Experiments;2019(147) |
ISSN: | 1940-087X |
DOI: | 10.3791/59219 |
Subject: | Biochemistry; Bioinformatics; MALDI-TOF MS; Mass spectrometry; Microbiology; Natural products; Specialized metabolites; Lífefnafræði; Litrófsgreining; Örverufræði; Opinn hugbúnaður |
URI: | https://hdl.handle.net/20.500.11815/1754 |
Citation:Clark, C. M., Costa, M. S., Conley, E., Li, E., Sanchez, L. M., Murphy, B. T. Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data. J. Vis. Exp. (147), e59219, doi:10.3791/59219 (2019).
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Abstract:In order to visualize the relationship between bacterial phylogeny and specialized metabolite production of bacterial colonies growing on nutrient agar, we developed IDBac-a low-cost and high-throughput matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDITOF MS) bioinformatics pipeline. IDBac software is designed for non-experts, is freely available, and capable of analyzing a few to thousands of bacterial colonies. Here, we present procedures for the preparation of bacterial colonies for MALDI-TOF MS analysis, MS instrument operation, and data processing and visualization in IDBac. In particular, we instruct users how to cluster bacteria into dendrograms based on protein MS fingerprints and interactively create Metabolite Association Networks (MANs) from specialized metabolite data.
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Description:Publisher's version (útgefin grein)
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Rights:This content is Open Access under Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
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