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Journal of Proteome Research
Article . 2024 . Peer-reviewed
License: CC BY
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PubMed Central
Other literature type . 2023
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https://doi.org/10.1101/2023.1...
Article . 2023 . Peer-reviewed
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https://dx.doi.org/10.60692/3x...
Other literature type . 2024
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Other literature type . 2024
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A meta-analysis of rice phosphoproteomics data to understand variation in cell signalling across the rice pan-genome

التحليل التلوي لبيانات البروتين الفوسفوري للأرز لفهم التباين في إشارات الخلايا عبر جينوم عموم الأرز
Authors: Kerry A Ramsbottom; Ananth Prakash; Yasset Pérez‐Riverol; Oscar M. Camacho; Zhi Sun; Deepti Jaiswal Kundu; Emily Bowler-Barnett; +7 Authors

A meta-analysis of rice phosphoproteomics data to understand variation in cell signalling across the rice pan-genome

Abstract

AbstractPhosphorylation is the most studied post-translational modification, and has multiple biological functions. In this study, we have re-analysed publicly available mass spectrometry proteomics datasets enriched for phosphopeptides from Asian rice (Oryza sativa). In total we identified 15,522 phosphosites on serine, threonine and tyrosine residues on rice proteins.We identified sequence motifs for phosphosites, and link motifs to enrichment of different biological processes, indicating different downstream regulation likely caused by different kinase groups. We cross-referenced phosphosites against the rice 3,000 genomes, to identify single amino acid variations (SAAVs) within or proximal to phosphosites that could cause loss of a site in a given rice variety. The data was clustered to identify groups of sites with similar patterns across rice family groups, for example those highly conserved in Japonica, but mostly absent in Aus type rice varieties - known to have different responses to drought. These resources can assist rice researchers to discover alleles with significantly different functional effects across rice varieties.The data has been loaded into UniProt Knowledge-Base - enabling researchers to visualise sites alongside other data on rice proteins e.g. structural models from AlphaFold2, PeptideAtlas and the PRIDE database - enabling visualisation of source evidence, including scores and supporting mass spectra.

Keywords

Phosphopeptides, Proteomics, FOS: Computer and information sciences, Phosphoproteomics, genome annotation, Proteome, Bioinformatics, Amino Acid Motifs, Real-Time Polymerase Chain Reaction, Gene, Article, Mass Spectrometry, Computational biology, Protein kinase A, Protein phosphorylation, Biochemistry, Genetics and Molecular Biology, Genetics, RNA Sequencing Data Analysis, Phosphorylation, Databases, Protein, Molecular Biology, Biology, Spectroscopy, Plant Proteins, Genome, Life Sciences, Oryza, Phosphoproteins, Mass Spectrometry Techniques with Proteins, Chemistry, FOS: Biological sciences, Physical Sciences, Protein Processing, Post-Translational, Genome, Plant, Signal Transduction, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
hybrid