Deep coverage of the beer proteome

J 2017

Deep coverage of the beer proteome

GROCHALOVÁ, Martina, Hana KONEČNÁ, Karel STEJSKAL, David POTĚŠIL, Danuše FRIDRICHOVÁ et. al.

Basic information

Original name

Deep coverage of the beer proteome

Authors

GROCHALOVÁ, Martina (203 Czech Republic, belonging to the institution), Hana KONEČNÁ (203 Czech Republic, belonging to the institution), Karel STEJSKAL (203 Czech Republic, belonging to the institution), David POTĚŠIL (203 Czech Republic, belonging to the institution), Danuše FRIDRICHOVÁ (203 Czech Republic, belonging to the institution), Eva SRBOVÁ (203 Czech Republic, belonging to the institution), Kateřina ORNEROVÁ (203 Czech Republic, belonging to the institution) and Zbyněk ZDRÁHAL (203 Czech Republic, guarantor, belonging to the institution)

Edition

Journal of Proteomics, Amsterdam, ELSEVIER SCIENCE BV, 2017, 1874-3919

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10406 Analytical chemistry

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.722

RIV identification code

RIV/00216224:14740/17:00095139

Organization unit

Central European Institute of Technology

DOI

http://dx.doi.org/10.1016/j.jprot.2017.05.001

UT WoS

000404318500012

Keywords in English

Beer proteome; Gluten proteins; IPG-IEF; LC-MS/MS

Abstract

V originále

We adopted an approach based on peptide immobilized pH gradient-isoelectric focusing (IPG-IEF) separation, coupled with LC-MS/MS, in order to maximize coverage of the beer proteome. A lager beer brewed using traditional Czech technology was degassed, desalted and digested. Tryptic peptides were separated by isoelectric focusing on an immobilized pH gradient strip and, after separation, the gel strip was divided into seven equally sized parts. Peptides extracted from gel fractions were analyzed by LC-MS/MS. This approach resulted in a three-fold increase in the number of proteins identified (over 1700) when compared to analysis of unfractionated beer processed by a filter-aided sample preparation (FASP). Over 1900 protein groups (PGs) in total were identified by both approaches.

Links

CZ.1.05/3.2.00/08.0144, interní kód MU

Name: CERIT Scientific Cloud (Acronym: CERIT - SC)

Investor: Ministry of Education, Youth and Sports of the CR, 3.2 Promotion and providing information on R&D results

GBP206/12/G151, research and development project

Name: Centrum nových přístupů k bioanalýze a molekulární diagnostice

LM2015043, research and development project

Name: Česká infrastruktura pro integrativní strukturní biologii (Acronym: CIISB)

Investor: Ministry of Education, Youth and Sports of the CR

LQ1601, research and development project

Name: CEITEC 2020 (Acronym: CEITEC2020)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

GROCHALOVÁ, Martina, Hana KONEČNÁ, Karel STEJSKAL, David POTĚŠIL, Danuše FRIDRICHOVÁ, Eva SRBOVÁ, Kateřina ORNEROVÁ and Zbyněk ZDRÁHAL. Deep coverage of the beer proteome. Journal of Proteomics. Amsterdam: ELSEVIER SCIENCE BV, 2017, vol. 162, JUN, p. 119-124. ISSN 1874-3919. Available from: https://dx.doi.org/10.1016/j.jprot.2017.05.001.

@article{1394837,
   author = {Grochalová, Martina and Konečná, Hana and Stejskal, Karel and Potěšil, David and Fridrichová, Danuše and Srbová, Eva and Ornerová, Kateřina and Zdráhal, Zbyněk},
   article_location = {Amsterdam},
   article_number = {JUN},
   doi = {http://dx.doi.org/10.1016/j.jprot.2017.05.001},
   keywords = {Beer proteome; Gluten proteins; IPG-IEF; LC-MS/MS},
   language = {eng},
   issn = {1874-3919},
   journal = {Journal of Proteomics},
   title = {Deep coverage of the beer proteome},
   url = {https://www.sciencedirect.com/science/article/pii/S1874391917301501?via%3Dihub},
   volume = {162},
   year = {2017}
}

TY  - JOUR
ID  - 1394837
AU  - Grochalová, Martina - Konečná, Hana - Stejskal, Karel - Potěšil, David - Fridrichová, Danuše - Srbová, Eva - Ornerová, Kateřina - Zdráhal, Zbyněk
PY  - 2017
TI  - Deep coverage of the beer proteome
JF  - Journal of Proteomics
VL  - 162
IS  - JUN
SP  - 119-124
EP  - 119-124
PB  - ELSEVIER SCIENCE BV
SN  - 18743919
KW  - Beer proteome
KW  - Gluten proteins
KW  - IPG-IEF
KW  - LC-MS/MS
UR  - https://www.sciencedirect.com/science/article/pii/S1874391917301501?via%3Dihub
L2  - https://www.sciencedirect.com/science/article/pii/S1874391917301501?via%3Dihub
N2  - We adopted an approach based on peptide immobilized pH gradient-isoelectric focusing (IPG-IEF) separation, coupled with LC-MS/MS, in order to maximize coverage of the beer proteome. A lager beer brewed using traditional Czech technology was degassed, desalted and digested. Tryptic peptides were separated by isoelectric focusing on an immobilized pH gradient strip and, after separation, the gel strip was divided into seven equally sized parts. Peptides extracted from gel fractions were analyzed by LC-MS/MS. This approach resulted in a three-fold increase in the number of proteins identified (over 1700) when compared to analysis of unfractionated beer processed by a filter-aided sample preparation (FASP). Over 1900 protein groups (PGs) in total were identified by both approaches.
ER  -

GROCHALOVÁ, Martina, Hana KONEČNÁ, Karel STEJSKAL, David POTĚŠIL, Danuše FRIDRICHOVÁ, Eva SRBOVÁ, Kateřina ORNEROVÁ and Zbyněk ZDRÁHAL. Deep coverage of the beer proteome. \textit{Journal of Proteomics}. Amsterdam: ELSEVIER SCIENCE BV, 2017, vol.~162, JUN, p.~119-124. ISSN~1874-3919. Available from: https://dx.doi.org/10.1016/j.jprot.2017.05.001.

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