Membrane proteins and proteomics of Cronobacter sakazakii cells: Reliable method for identification and subcellular localization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F22%3A43925298" target="_blank" >RIV/60461373:22330/22:43925298 - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.asm.org/doi/10.1128/aem.02508-21" target="_blank" >https://journals.asm.org/doi/10.1128/aem.02508-21</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1128/aem.02508-21" target="_blank" >10.1128/aem.02508-21</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Membrane proteins and proteomics of Cronobacter sakazakii cells: Reliable method for identification and subcellular localization

Popis výsledku v původním jazyce

This study is the first to fractionate Cronobacter sakazakii cells into outer membrane, inner membrane, periplasmic, and cytosolic fractions as the basis for improved proteome mapping. A novel method was designed to prepare the fractionated samples for protein identification. The identification was performed via one-dimensional electrophoresis-liquid chromatography electrospray ionization tandem mass spectrometry. To determine the subcellular localization of the identified proteins, we developed a novel Python-based script (Subcelloc) that combines three web-based tools, PSORTb 3.0.2, CELLO 2.5, and UniProtKB. Applying this approach enabled us to identify 1,243 C. sakazakii proteins, which constitutes 28 % of all predicted proteins and 49 % of all theoretically expressed outer membrane proteins. These results represent a significant improvement on previous attempts to map the C. sakazakii proteome and could provide a major step forward in the identification of Cronobacter virulence factors.

Název v anglickém jazyce

Membrane proteins and proteomics of Cronobacter sakazakii cells: Reliable method for identification and subcellular localization

Popis výsledku anglicky

This study is the first to fractionate Cronobacter sakazakii cells into outer membrane, inner membrane, periplasmic, and cytosolic fractions as the basis for improved proteome mapping. A novel method was designed to prepare the fractionated samples for protein identification. The identification was performed via one-dimensional electrophoresis-liquid chromatography electrospray ionization tandem mass spectrometry. To determine the subcellular localization of the identified proteins, we developed a novel Python-based script (Subcelloc) that combines three web-based tools, PSORTb 3.0.2, CELLO 2.5, and UniProtKB. Applying this approach enabled us to identify 1,243 C. sakazakii proteins, which constitutes 28 % of all predicted proteins and 49 % of all theoretically expressed outer membrane proteins. These results represent a significant improvement on previous attempts to map the C. sakazakii proteome and could provide a major step forward in the identification of Cronobacter virulence factors.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10609 - Biochemical research methods

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Applied and Environmental Microbiology

ISSN

0099-2240

e-ISSN

1098-5336

Svazek periodika

88

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

1-17

Kód UT WoS článku

000784536500002

EID výsledku v databázi Scopus

2-s2.0-85129971235