Pregled bibliografske jedinice broj: 989471
Accurate identification of microorganisms by de novo sequencing
Accurate identification of microorganisms by de novo sequencing // 8th Regional Biophysics Conference : Book of Abstracts / Majaron, Hana ; Čotar, Petra ; Koren, Monika ; Golmajer Zima, Neža (ur.).
Ljubljana: Slovenian Biophysical Society, 2018. str. 89-89 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 989471 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Accurate identification of microorganisms by de
novo sequencing
Autori
Hozić, Amela ; Diminić, Janko ; Štajduhar, Andrija ; Cindrić, Mario
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
8th Regional Biophysics Conference : Book of Abstracts
/ Majaron, Hana ; Čotar, Petra ; Koren, Monika ; Golmajer Zima, Neža - Ljubljana : Slovenian Biophysical Society, 2018, 89-89
ISBN
978-961-90942-4-2
Skup
8th Regional Biophysics Conference (RBC2018)
Mjesto i datum
Zreče, Slovenija, 16.05.2018. - 20.05.2018
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Mass spectrometry ; microorganism ; de novo sequencing
Sažetak
Majority of currently used LC-MS/MS techniques for protein identification is based on database matching of non-derivatized peptide signals recorded in positive ion mode. Although widely used, such an approach does not always provide satisfactory sequence coverage to unambiguously identify a protein sample. Protein de novo sequencing concept using CAF-/CAF+ reagent (chemically activated fragmentation negative/chemically activated fragmentation positive) enables fast, highly accurate, reliable and easy to use identification of microorganisms down to the species and subspecies level. CAF-/CAF+ (5-formylbenzene-1, 3-disulfonic acid*) is a chemical reagent for the derivatization of peptide samples prior to analysis by tandem mass spectrometry (MS/MS) that enables gathering of both positive and negative peptide ions datasets. Peptide sequences are read from both positive and negative MS/MS spectra and matched against the NCBInr database by developed software named ProteinReader. We present results that show identification of microorganisms down to the subspecies level using either MALDI- or ESI-TOF technique.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
POVEZANOST RADA
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb,
Institut "Ruđer Bošković", Zagreb,
Medicinski fakultet, Zagreb