Opin vísindi

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

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dc.contributor Háskóli Íslands
dc.contributor University of Iceland
dc.contributor.author Clark, Chase M.
dc.contributor.author Costa, Maria Sofia
dc.contributor.author Conley, Erin
dc.contributor.author Li, Emma
dc.contributor.author Sanchez, Laura M.
dc.contributor.author Murphy, Brian T.
dc.date.accessioned 2020-04-29T14:12:11Z
dc.date.available 2020-04-29T14:12:11Z
dc.date.issued 2019-05-15
dc.identifier.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).
dc.identifier.issn 1940-087X
dc.identifier.uri https://hdl.handle.net/20.500.11815/1754
dc.description Publisher's version (útgefin grein)
dc.description.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.
dc.description.sponsorship This work was supported by National Institute of General Medical Sciences Grant R01 GM125943, National Geographic Grant CP-044R-17; Icelandic Research Fund Grant 152336-051; and University of Illinois at Chicago startup funds. Also, we thank the following contributors: Dr. Amanda Bulman for assistance with MALDI-TOF MS protein acquisition parameters; Dr. Terry Moore and Dr. Atul Jain for recrystallizing alpha-cyano-4-hydroxycinnamic acid matrix (CHCA).
dc.format.extent e59219
dc.language.iso en
dc.publisher MyJove Corporation
dc.relation.ispartofseries Journal of Visualized Experiments;2019(147)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Biochemistry
dc.subject Bioinformatics
dc.subject MALDI-TOF MS
dc.subject Mass spectrometry
dc.subject Microbiology
dc.subject Natural products
dc.subject Specialized metabolites
dc.subject Lífefnafræði
dc.subject Litrófsgreining
dc.subject Örverufræði
dc.subject Opinn hugbúnaður
dc.title Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
dc.type info:eu-repo/semantics/article
dcterms.license This content is Open Access under Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License
dc.description.version Peer Reviewed
dc.identifier.journal Journal of Visualized Experiments
dc.identifier.doi 10.3791/59219
dc.relation.url https://www.jove.com/video/59219/using-open-source-maldi-tof-ms-idbac-pipeline-for-analysis-microbial
dc.contributor.department Lyfjafræðideild (HÍ)
dc.contributor.department Faculty of Pharmaceutical Sciences (UI)
dc.contributor.school Heilbrigðisvísindasvið (HÍ)
dc.contributor.school School of Health Sciences (UI)


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