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Plant Proteome Databases and Bioinformatic Tools: An Expert Review and Comparative Insights.
Subba, Pratigya; Narayana Kotimoole, Chinmaya; Prasad, Thottethodi Subrahmanya Keshava.
Afiliación
  • Subba P; 1 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.
  • Narayana Kotimoole C; 1 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.
  • Prasad TSK; 1 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.
OMICS ; 23(4): 190-206, 2019 04.
Article en En | MEDLINE | ID: mdl-31009332
ABSTRACT
Historically, plant biology studies have lagged behind systems biology studies in animals and humans. However, there are signs of positive change as evidenced by the rise of big data in plant proteomics, and the availability of data science tools and next-generation sequencing technologies. Currently, the sequence information on nearly 300 plant species is available although they are curated to varying degrees of sophistication. This has led to significant enrichment of representations in the corresponding plant proteome databases. Analysis of the proteome component of an organism offers structural, functional, and network scale insights. Moreover, the development of high-throughput mass spectrometric techniques has augmented our understanding of proteins and their expression patterns under various conditions. Several thousand proteins can now be identified from a single mass spectrometric analysis. In this expert review, we provide an in-depth analysis on plant proteome databases, how to access them, and, importantly, the biological, research, and application contexts in which each database is significant, their comparative strengths, and limitations. We aimed in this analysis to reach out to young scholars embarking on plant biology and proteomic research as well as to those already established in the field so as to provide integrated critical analyses of plant proteome databases and bioinformatics tools in this nascent field of systems sciences. In conclusion, plant proteome research is an emerging and exciting frontier of integrative biology scholarship and innovation. Our future efforts must also be invested in integrating the available databases to allow for multiomics data analysis, research, and development.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plantas / Proteoma Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: OMICS Asunto de la revista: BIOLOGIA MOLECULAR Año: 2019 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plantas / Proteoma Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: OMICS Asunto de la revista: BIOLOGIA MOLECULAR Año: 2019 Tipo del documento: Article País de afiliación: India