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Brassinosteroid-Regulated Phosphorylation Dynamics

Phosphorylation in Arabidopsis thaliana

1238 modifications in 645 peptides, found in 1192 proteins

Experiment Details

Exp 94


Experimental Setup
TissueCell culture, Ler-0
Condition5/30 min or 3/6/12h 5 µM Epibrassinolide
PTM EnrichmentHAMMOC
MS InstrumentLTQ Orbitrap XL
MS/MS Search Parameters
Protein DatabaseTAIR10
Decoy StrategyReverse decoy database
FDR Threshold0.01
Search Algorithm(s)MaxQuant version 1.3.0.5
Precursor Mass Tolerance6 ppm
PTM Site AllocationPTM Score
Identification ScoreMaxQuant Score
ProteaseTrypsin
Fixed ModificationsCarbamidomethyl (C)
Variable ModificationsOxidation (M)
Phosphorylation (STY)
Other Information
CommentsPhospho (STY)Sites.txt PRIDE project files


Publication Information

Lin et al., 2015

PubMed ID: 26187819

ProteomeXchange: PXD001473

Abstract

BMC Genomics. 2015 Jul 18;16(1):533. doi: 10.1186/s12864-015-1753-4.

Integrating Phosphoproteomics and Bioinformatics to Study 
Brassinosteroid-Regulated Phosphorylation Dynamics in Arabidopsis.

Lin LL(1), Hsu CL(2), Hu CW(3), Ko SY(4), Hsieh HL(5), Huang HC(6), Juan 
HF(7)(8)(9).

Author information:
(1)Department of Life Science, National Taiwan University, No. 1, Sec. 4, 
Roosevelt Road, Taipei, 106, Taiwan. f94b43019@ntu.edu.tw.
(2)Department of Life Science, National Taiwan University, No. 1, Sec. 4, 
Roosevelt Road, Taipei, 106, Taiwan. chialanghsu@ntu.edu.tw.
(3)Institute of Molecular and Cellular Biology, National Taiwan University, No. 
1, Sec. 4, Roosevelt Road, Taipei, 106, Taiwan. hkmq8195@yahoo.com.tw.
(4)Institute of Molecular and Cellular Biology, National Taiwan University, No. 
1, Sec. 4, Roosevelt Road, Taipei, 106, Taiwan. kirhun76@gmail.com.
(5)Institute of Plant Biology, National Taiwan University, No. 1, Sec. 4, 
Roosevelt Road, Taipei, 106, Taiwan. hlhsieh@ntu.edu.tw.
(6)Institute of Biomedical Informatics, Center for Systems and Synthetic 
Biology, National Yang-Ming University, No.155, Sec.2, Linong Street, Taipei, 
112, Taiwan. hsuancheng@ym.edu.tw.
(7)Department of Life Science, National Taiwan University, No. 1, Sec. 4, 
Roosevelt Road, Taipei, 106, Taiwan. yukijuan@ntu.edu.tw.
(8)Institute of Molecular and Cellular Biology, National Taiwan University, No. 
1, Sec. 4, Roosevelt Road, Taipei, 106, Taiwan. yukijuan@ntu.edu.tw.
(9)Graduate Institute of Biomedical Electronic and Bioinformatics, National 
Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 106, Taiwan. 
yukijuan@ntu.edu.tw.

BACKGROUND: Protein phosphorylation regulated by plant hormone is involved in 
the coordination of fundamental plant development. Brassinosteroids (BRs), a 
group of phytohormones, regulated phosphorylation dynamics remains to be 
delineated in plants. In this study, we performed a mass spectrometry (MS)-based 
phosphoproteomics to conduct a global and dynamic phosphoproteome profiling 
across five time points of BR treatment in the period between 5 min and 12 h. MS 
coupling with phosphopeptide enrichment techniques has become the powerful tool 
for profiling protein phosphorylation. However, MS-based methods tend to have 
data consistency and coverage issues. To address these issues, bioinformatics 
approaches were used to complement the non-detected proteins and recover the 
dynamics of phosphorylation events.
RESULTS: A total of 1104 unique phosphorylated peptides from 739 unique 
phosphoproteins were identified. The time-dependent gene ontology (GO) analysis 
shows the transition of biological processes from signaling transduction to 
morphogenesis and stress response. The protein-protein interaction analysis 
found that most of identified phosphoproteins have strongly connections with 
known BR signaling components. The analysis by using Motif-X was performed to 
identify 15 enriched motifs, 11 of which correspond to 6 known kinase families. 
To uncover the dynamic activities of kinases, the enriched motifs were combined 
with phosphorylation profiles and revealed that the substrates of casein kinase 
2 and mitogen-activated protein kinase were significantly phosphorylated and 
dephosphorylated at initial time of BR treatment, respectively. The 
time-dependent kinase-substrate interaction networks were constructed and showed 
many substrates are the downstream of other signals, such as auxin and ABA 
signaling. While comparing BR responsive phosphoproteome and gene expression 
data, we found most of phosphorylation changes were not led by gene expression 
changes. Our results suggested many downstream proteins of BR signaling are 
induced by phosphorylation via various kinases, not through transcriptional 
regulation.
CONCLUSIONS: Through a large-scale dynamic profile of phosphoproteome coupled 
with bioinformatics, a complicated kinase-centered network related to 
BR-regulated growth was deciphered. The phosphoproteins and phosphosites 
identified in our study provide a useful dataset for revealing signaling 
networks of BR regulation, and also expanded our knowledge of protein 
phosphorylation modification in plants as well as further deal to solve the 
plant growth problems.

DOI: 10.1186/s12864-015-1753-4
PMCID: PMC4506601
PMID: 26187819 [Indexed for MEDLINE]