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Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data


Titill: Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
Höfundur: Clark, Chase M.
Costa, Maria Sofia   orcid.org/0000-0002-1830-9925
Conley, Erin
Li, Emma
Sanchez, Laura M.
Murphy, Brian T.
Útgáfa: 2019-05-15
Tungumál: Enska
Umfang: e59219
Háskóli/Stofnun: Háskóli Íslands
University of Iceland
Svið: Heilbrigðisvísindasvið (HÍ)
School of Health Sciences (UI)
Deild: Lyfjafræðideild (HÍ)
Faculty of Pharmaceutical Sciences (UI)
Birtist í: Journal of Visualized Experiments;2019(147)
ISSN: 1940-087X
DOI: 10.3791/59219
Efnisorð: 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

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Tilvitnun:

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).

Útdráttur:

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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This content is Open Access under Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License

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