Dataset Information

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

ABSTRACT: 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.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.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.

SUBMITTER: Lin LL

PROVIDER: S-EPMC4506601 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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

Lin Li-Ling LL Hsu Chia-Lang CL Hu Chia-Wei CW Ko Shiao-Yun SY Hsieh Hsu-Liang HL Huang Hsuan-Cheng HC Juan Hsueh-Fen HF

BMC genomics 20150718

<h4>Background</h4>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 phosphopeptid ...[more]

PMID: 26187819

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Project description: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 minutes and 12 hours. 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. A total of 1,104 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 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 signalings, such as auxin and ABA signalings. Comparing BR responsive phosphoproteome and gene expression data, we found most of phosphorylation changes were not led by gene expression changes. Our results suggested BR signaling not only induces gene expression, but also change protein activation by phosphorylation via various kinases. Through a large-scale dynamic profile of phosphoproteome coupling bioinformatics, a complicated kinase-centered network related to BR-regulated growth was deciphered. The phosphoproteins and phosphosites identified from 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.

Project description:GH and GH receptors are expressed throughout life, and GH elicits a diverse range of responses, including growth and altered metabolism. It is therefore important to understand the full spectrum of GH signaling pathways and cellular responses. We applied mass spectrometry-based phosphoproteomics combined with stable isotope labeling with amino acids in cell culture to identify proteins rapidly phosphorylated in response to GH in 3T3-F442A preadipocytes. We identified 132 phosphosites in 95 proteins that exhibited rapid (5 or 15 min) GH-dependent statistically significant increases in phosphorylation by more than or equal to 50% and 96 phosphosites in 46 proteins that were down-regulated by GH by more than or equal to 30%. Several of the GH-stimulated phosphorylation sites were known (e.g. regulatory Thr/Tyr in Erks 1 and 2, Tyr in signal transducers and activators of transcription (Stat) 5a and 5b, Ser939 in tuberous sclerosis protein (TSC) 2 or tuberin). The remaining 126 GH-stimulated sites were not previously associated with GH. Kyoto Encyclopedia of Genes and Genomes pathway analysis of GH-stimulated sites indicated enrichment in proteins associated with the insulin and mammalian target of rapamycin (mTOR) pathways, regulation of the actin cytoskeleton, and focal adhesions. Akt/protein kinase A consensus sites (RXRXXS/T) were the most commonly phosphorylated consensus sites. Immunoblotting confirmed GH-stimulated phosphorylation of all seven novel GH-dependent sites tested [regulatory sites in proline-rich Akt substrate, 40 kDA (PRAS40), regulatory associated protein of mTOR, ATP-citrate lyase, Na(+)/H(+) exchanger-1, N-myc downstream regulated gene 1, and Shc]). The immunoblot results suggest that many, if not most, of the GH-stimulated phosphosites identified in this large-scale quantitative phosphoproteomics analysis, including sites in multiple proteins in the Akt/ mTOR complex 1 pathway, are phosphorylated in response to GH. Their identification significantly broadens our thinking of GH-regulated cell functions.

Dataset Information

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

Publications

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

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