Combination of several bioinformatics approaches for the
identification of new putative glycosyltransferases in
Arabidopsis

J 2009

Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis

HANSEN, Sara, Emmanuel BETTLER, Michaela WIMMEROVÁ, Anne IMBERTY, Olivier LEROUXEL et. al.

Základní údaje

Originální název

Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis

Název česky

Kombinace nekolika bioinformatickych pristupu pro identifikaci glykosyltransferas v Arabidopsis

Autoři

HANSEN, Sara (250 Francie), Emmanuel BETTLER (250 Francie), Michaela WIMMEROVÁ (203 Česká republika, garant), Anne IMBERTY (250 Francie), Olivier LEROUXEL (250 Francie) a Christelle BRETON (250 Francie)

Vydání

Journal of Proteome Research, Washington, USA, ACS, 2009, 1535-3893

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10610 Biophysics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 5.132

Kód RIV

RIV/00216224:14310/09:00036466

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000263193300035

Klíčová slova anglicky

fold recognition; glycosyltransferase

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 24. 8. 2009 16:05, prof. RNDr. Michaela Wimmerová, Ph.D.

Anotace

ORIG CZ

V originále

Approximately 450 glycosyltransferase (GT) sequences have been already identified in the Arabidopsis genome that organize into 40 sequence-based families, but a vast majority of these gene products remain biochemically uncharacterized open reading frames. Given the complexity of the cell wall carbohydrate network, it can be inferred that some of the biosynthetic genes have not yet been identified by classical bioinformatics approaches. With the objective to identify new plant GT genes, we designed a bioinformatic strategy that is based on the use of several remote homology detection methods that act at the 1D, 2D, and 3D level. Together, these methods led to the identification of more than 150 candidate protein sequences. Among them, 20 are considered as putative glycosyltransferases that should further be investigated since known GT signatures were clearly identified.

Česky

V genomu Arabidopsis thaliana bylo identifikováno více než 450 glykosyltransferas. Kombinace nekolika bioinformatickych pristupu vedla k identifikaci více než 150 nových kandidátních genů potencionálních glykosyltransferas.

Návaznosti

MSM0021622413, záměr

Název: Proteiny v metabolismu a při interakci organismů s prostředím

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Proteiny v metabolismu a při interakci organismů s prostředím

Citovat

HANSEN, Sara, Emmanuel BETTLER, Michaela WIMMEROVÁ, Anne IMBERTY, Olivier LEROUXEL a Christelle BRETON. Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis. Journal of Proteome Research. Washington, USA: ACS, 2009, roč. 8, č. 2, s. 743-753. ISSN 1535-3893.

@article{842445,
   author = {Hansen, Sara and Bettler, Emmanuel and Wimmerová, Michaela and Imberty, Anne and Lerouxel, Olivier and Breton, Christelle},
   article_location = {Washington, USA},
   article_number = {2},
   keywords = {fold recognition; glycosyltransferase},
   language = {eng},
   issn = {1535-3893},
   journal = {Journal of Proteome Research},
   title = {Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis},
   volume = {8},
   year = {2009}
}

TY  - JOUR
ID  - 842445
AU  - Hansen, Sara - Bettler, Emmanuel - Wimmerová, Michaela - Imberty, Anne - Lerouxel, Olivier - Breton, Christelle
PY  - 2009
TI  - Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis
JF  - Journal of Proteome Research
VL  - 8
IS  - 2
SP  - 743-753
EP  - 743-753
PB  - ACS
SN  - 15353893
KW  - fold recognition
KW  - glycosyltransferase
N2  - Approximately 450 glycosyltransferase (GT) sequences have been already identified in the Arabidopsis genome that organize into 40 sequence-based families, but a vast majority of these gene products remain biochemically uncharacterized open reading frames. Given the complexity of the cell wall carbohydrate network, it can be inferred that some of the biosynthetic genes have not yet been identified by classical bioinformatics approaches. With the objective to identify new plant GT genes, we designed a bioinformatic strategy that is based on the use of several remote homology detection methods that act at the 1D, 2D, and 3D level. Together, these methods led to the identification of more than 150 candidate protein sequences. Among them, 20 are considered as putative glycosyltransferases that should further be investigated since known GT signatures were clearly identified.
ER  -

HANSEN, Sara, Emmanuel BETTLER, Michaela WIMMEROVÁ, Anne IMBERTY, Olivier LEROUXEL a Christelle BRETON. Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis. \textit{Journal of Proteome Research}. Washington, USA: ACS, 2009, roč.~8, č.~2, s.~743-753. ISSN~1535-3893.

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