ArticleMolecules (Basel, Switzerland)2022
Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing.
Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Identification of Species-Specific Peptide Markers in Highly Processed Meat Products Using De Novo Sequencing.Foods (Basel, Switzerland) · 2026Article
- Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing.Nature communications · 2024Article
- Comprehensive insights into UTIs: from pathophysiology to precision diagnosis and management.Frontiers in cellular and infection microbiology · 2024Review
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Authors and funding
9 authors at 6 institutions in 2 countries.
Funding
Abstract
For mass spectrometry-based diagnostics of microorganisms, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is currently routinely used to identify urinary tract pathogens. However, it requires a lengthy culture step for accurate pathogen identification, and is limited by a relatively small number of available species in peptide spectral libraries (≤3329). Here, we propose a method for pathogen identification that overcomes the above limitations, and utilizes the MALDI-TOF/TOF MS instrument. Tandem mass spectra of the analyzed peptides were obtained by chemically activated fragmentation, which allowed mass spectrometry analysis in negative and positive ion modes. Peptide sequences were elucidated de novo, and aligned with the non-redundant National Center for Biotechnology Information Reference Sequence Database (NCBI
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