Dataset Information
Quantitative proteomics reveals the effect of protein glycosylation in soybean root under flooding stress
Ontology highlight
ABSTRACT:
INSTRUMENT(S): LTQ Orbitrap
ORGANISM(S): Glycine Max
TISSUE(S): Plant Cell, Root
DISEASE(S): Wounds And Injuries
SUBMITTER: 
Ghazala Mustafa
LAB HEAD: Setsuko Komatsu
PROVIDER: PXD001350 | Pride | 2014-12-08
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| G201.RAW | Raw | |||
| G201.mgf | Mgf | |||
| G201.msf | Msf | |||
| G201.pep.xml | Pepxml | |||
| G202.RAW | Raw |
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Publications
Quantitative proteomics reveals the effect of protein glycosylation in soybean root under flooding stress.
Frontiers in plant science 20141118
Flooding stress has a negative impact on soybean cultivation because it severely impairs growth and development. To understand the flooding responsive mechanism in early stage soybeans, a glycoproteomic technique was used. Two-day-old soybeans were treated with flooding for 2 days and roots were collected. Globally, the accumulation level of glycoproteins, as revealed by cross-reaction with concanavalin A decreased by 2 days of flooding stress. Glycoproteins were enriched from total protein extr ...[more]