Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
Author(s) -
Chase M. Clark,
Maria Costa,
Erin Conley,
Emma Li,
Laura M. Sanchez,
Brian T. Murphy
Publication year - 2019
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/59219
Subject(s) - metabolite , matrix assisted laser desorption/ionization , pipeline (software) , dendrogram , mass spectrometry , computational biology , bacteria , cluster analysis , visualization , computer science , biology , chemistry , chromatography , data mining , biochemistry , desorption , genetics , artificial intelligence , demography , organic chemistry , adsorption , genetic diversity , population , sociology , programming language
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 (MALDI-TOF 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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