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Pregled bibliografske jedinice broj: 1211912

Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing


Svetličić, Ema; Dončević, Lucija; Ozdanovac, Luka; Janeš, Andrea; Tustonić, Tomislav; Štajduhar, Andrija; Brkić, Antun Lovro; Čeprnja, Marina; Cindrić, Mario
Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing // Molecules, 27 (2022), 5461, 13 doi:10.3390/molecules27175461 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1211912 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing

Autori
Svetličić, Ema ; Dončević, Lucija ; Ozdanovac, Luka ; Janeš, Andrea ; Tustonić, Tomislav ; Štajduhar, Andrija ; Brkić, Antun Lovro ; Čeprnja, Marina ; Cindrić, Mario

Izvornik
Molecules (1420-3049) 27 (2022); 5461, 13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
uropathogenic infection ; tandem mass spectrometry ; de novo peptide sequencing ; peptide identification software

Sažetak
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 (NCBInr). For data analysis, we developed a custom program package that predicted peptide sequences from the negative and positive MS/MS spectra. The main advantage of this method over a conventional MALDI-TOF MS peptide analysis is identification in less than 24 h without a cultivation step. Compared to the limited identification with peptide spectra libraries, the NCBI database derived from genome sequencing currently contains 20, 917 bacterial species, and is constantly expanding. This paper presents an accurate method that is used to identify pathogens grown on agar plates, and those isolated directly from urine samples, with high accuracy.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Kemijsko inženjerstvo



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.07.0023 - Qua/Qua Protein: Kvantitativna i kvalitativna analiza proteina za potrebe biomedicine i biotehnološke industrije (Qua/Qua Protein) (Cindrić, Mario, EK - KK.01.1.1.07) ( CroRIS)

Ustanove:
Institut za fiziku, Zagreb,
Institut "Ruđer Bošković", Zagreb,
Medicinski fakultet, Zagreb,
Klinička bolnica "Dubrava"

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com doi.org

Citiraj ovu publikaciju:

Svetličić, Ema; Dončević, Lucija; Ozdanovac, Luka; Janeš, Andrea; Tustonić, Tomislav; Štajduhar, Andrija; Brkić, Antun Lovro; Čeprnja, Marina; Cindrić, Mario
Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing // Molecules, 27 (2022), 5461, 13 doi:10.3390/molecules27175461 (međunarodna recenzija, članak, znanstveni)
Svetličić, E., Dončević, L., Ozdanovac, L., Janeš, A., Tustonić, T., Štajduhar, A., Brkić, A., Čeprnja, M. & Cindrić, M. (2022) Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing. Molecules, 27, 5461, 13 doi:10.3390/molecules27175461.
@article{article, author = {Svetli\v{c}i\'{c}, Ema and Don\v{c}evi\'{c}, Lucija and Ozdanovac, Luka and Jane\v{s}, Andrea and Tustoni\'{c}, Tomislav and \v{S}tajduhar, Andrija and Brki\'{c}, Antun Lovro and \v{C}eprnja, Marina and Cindri\'{c}, Mario}, year = {2022}, pages = {13}, DOI = {10.3390/molecules27175461}, chapter = {5461}, keywords = {uropathogenic infection, tandem mass spectrometry, de novo peptide sequencing, peptide identification software}, journal = {Molecules}, doi = {10.3390/molecules27175461}, volume = {27}, issn = {1420-3049}, title = {Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing}, keyword = {uropathogenic infection, tandem mass spectrometry, de novo peptide sequencing, peptide identification software}, chapternumber = {5461} }
@article{article, author = {Svetli\v{c}i\'{c}, Ema and Don\v{c}evi\'{c}, Lucija and Ozdanovac, Luka and Jane\v{s}, Andrea and Tustoni\'{c}, Tomislav and \v{S}tajduhar, Andrija and Brki\'{c}, Antun Lovro and \v{C}eprnja, Marina and Cindri\'{c}, Mario}, year = {2022}, pages = {13}, DOI = {10.3390/molecules27175461}, chapter = {5461}, keywords = {uropathogenic infection, tandem mass spectrometry, de novo peptide sequencing, peptide identification software}, journal = {Molecules}, doi = {10.3390/molecules27175461}, volume = {27}, issn = {1420-3049}, title = {Direct Identification of Urinary Tract Pathogens by MALDI-TOF/TOF Analysis and De Novo Peptide Sequencing}, keyword = {uropathogenic infection, tandem mass spectrometry, de novo peptide sequencing, peptide identification software}, chapternumber = {5461} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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