Literature DB >> 31157770

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

Chase M Clark1, Maria S Costa2, Erin Conley1, Emma Li1, Laura M Sanchez1, Brian T Murphy3.   

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 (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.

Entities:  

Year:  2019        PMID: 31157770     DOI: 10.3791/59219

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  6 in total

Review 1.  Mass spectrometry-based metabolomics in microbiome investigations.

Authors:  Anelize Bauermeister; Helena Mannochio-Russo; Letícia V Costa-Lotufo; Alan K Jarmusch; Pieter C Dorrestein
Journal:  Nat Rev Microbiol       Date:  2021-09-22       Impact factor: 78.297

2.  Addition of insoluble fiber to isolation media allows for increased metabolite diversity of lab-cultivable microbes derived from zebrafish gut samples.

Authors:  Alanna R Condren; Maria S Costa; Natalia Rivera Sanchez; Sindhu Konkapaka; Kristin L Gallik; Ankur Saxena; Brian T Murphy; Laura M Sanchez
Journal:  Gut Microbes       Date:  2020-03-22

3.  The need to innovate sample collection and library generation in microbial drug discovery: a focus on academia.

Authors:  Antonio Hernandez; Linh T Nguyen; Radhika Dhakal; Brian T Murphy
Journal:  Nat Prod Rep       Date:  2021-03-04       Impact factor: 13.423

4.  A Call to Action: the Need for Standardization in Developing Open-Source Mass Spectrometry-Based Methods for Microbial Subspecies Discrimination.

Authors:  Chase M Clark; Brian T Murphy; Laura M Sanchez
Journal:  mSystems       Date:  2020-02-18       Impact factor: 6.496

5.  hcapca: Automated Hierarchical Clustering and Principal Component Analysis of Large Metabolomic Datasets in R.

Authors:  Shaurya Chanana; Chris S Thomas; Fan Zhang; Scott R Rajski; Tim S Bugni
Journal:  Metabolites       Date:  2020-07-21

6.  Automated Microbial Library Generation Using the Bioinformatics Platform IDBac.

Authors:  Chase M Clark; Linh Nguyen; Van Cuong Pham; Laura M Sanchez; Brian T Murphy
Journal:  Molecules       Date:  2022-03-22       Impact factor: 4.411

  6 in total

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