ArticleJournal of visualized experiments : JoVE2015
Use of MALDI-TOF mass spectrometry and a custom database to characterize bacteria indigenous to a unique cave environment (Kartchner Caverns, AZ, USA).
Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- IDBac: an open-access web platform to identify bacteria and analyze relationships in culture collections using MALDI-TOF mass spectrometry.Nature communications · 2026Article
- MALDI-TOF MS Classification of Formosan Thraustochytrids and Their Use in Shrimp Farming.Journal of agricultural and food chemistry · 2026Article
- Optimizing species identification after antimicrobial pretreatment in Enterobacterales: a prospective cohort study.BMC microbiology · 2026Article
- IDBac: an open-access web platform and compendium for the identification of bacteria by MALDI-TOF mass spectrometry.bioRxiv : the preprint server for biology · 2025Article
- Use of MALDI-TOF mass spectrometry and IDBac to mine for understudied bacterial genera from the environment.ISME communications · 2025Article
- Influence of High Hydrostatic Pressure on the Identification ofMicroorganisms · 2020Article
- MALDI-TOF MS Affords Discrimination ofFrontiers in microbiology · 2018Article
- Development of a Custom MALDI-TOF MS Database for Species-Level Identification of Bacterial Isolates Collected From Spacecraft and Associated Surfaces.Frontiers in microbiology · 2018Article
- Identification of Bacillus strains by MALDI TOF MS using geometric approach.Scientific reports · 2015Article
- Biomarker- and similarity coefficient-based approaches to bacterial mixture characterization using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS).Scientific reports · 2015Article
- Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MALDI-TOF mass spectrometry has been shown to be a rapid and reliable tool for identification of bacteria at the genus and species, and in some cases, strain levels. Commercially available and open source software tools have been developed to facilitate identification; however, no universal/standardized data analysis pipeline has been described in the literature. Here, we provide a comprehensive and detailed demonstration of bacterial identification procedures using a MALDI-TOF mass spectrometer. Mass spectra were collected from 15 diverse bacteria isolated from Kartchner Caverns, AZ, USA, and identified by 16S rDNA sequencing. Databases were constructed in BioNumerics 7.1. Follow-up analyses of mass spectra were performed, including cluster analyses, peak matching, and statistical analyses. Identification was performed using blind-coded samples randomly selected from these 15 bacteria. Two identification methods are presented: similarity coefficient-based and biomarker-based methods. Results show that both identification methods can identify the bacteria to the species level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.