TY - JOUR
T1 - PlantPReS
T2 - a database for plant proteome response to stress
AU - Mousavi, Seyed Ahmad
AU - Pouya, Farhad Movahedi
AU - Ghaffari, Mohammad Reza
AU - Mirzaei, Mehdi
AU - Ghaffari, Akram
AU - Alikhani, Mehdi
AU - Ghareyazie, Mohammad
AU - Komatsu, Setsuko
AU - Haynes, Paul A.
AU - Salekdeh, Ghasem Hosseini
PY - 2016/6/30
Y1 - 2016/6/30
N2 - About 75% of plant yield potential has been estimated to be lost to environmental stresses, even in developed agricultures. To facilitate the biotechnological improvement of crop productivity, genes and proteins that control crop adaptation to a wide range of environments will need to be identified. Due to the challenges faced in text/data mining, there is a large gap between the data available to researchers and the hundreds of published plant stress proteomics articles. Plant stress proteome database (PlantPReS; www.proteome.ir) is an open online proteomic database, which currently (as of October 2015) comprises > 20,413 entries from 456 manually curated articles, and contains > 10,600 unique stress responsive proteins. Since every aspect of the experiments, including protein name, accession number, plant type, tissue, stress types, organelles, and developmental stage has been digitized, experimental data can be rapidly accessed and integrated. Furthermore, PlantPReS enables researchers to perform multiple analyses on the database using the filtration mode, and the results of each query indicate a series of proteins for which a set of selected criteria is met. The query results can be displayed in either text or graphical format. Significance The promise of text and data mining to facilitate and enhance research fundamentally has not yet been achieved, mainly because great numbers of stress-associated proteins are not deposited in databases. PlantPReS is a valuable database for the vast majority of researchers working in proteomics and plant stress areas. It has a user-friendly interface with a number of useful features, including a search engine, analysis tools, gene ontology, a function for cross-referencing useful external databases, and the expression pattern of stress associated proteins.
AB - About 75% of plant yield potential has been estimated to be lost to environmental stresses, even in developed agricultures. To facilitate the biotechnological improvement of crop productivity, genes and proteins that control crop adaptation to a wide range of environments will need to be identified. Due to the challenges faced in text/data mining, there is a large gap between the data available to researchers and the hundreds of published plant stress proteomics articles. Plant stress proteome database (PlantPReS; www.proteome.ir) is an open online proteomic database, which currently (as of October 2015) comprises > 20,413 entries from 456 manually curated articles, and contains > 10,600 unique stress responsive proteins. Since every aspect of the experiments, including protein name, accession number, plant type, tissue, stress types, organelles, and developmental stage has been digitized, experimental data can be rapidly accessed and integrated. Furthermore, PlantPReS enables researchers to perform multiple analyses on the database using the filtration mode, and the results of each query indicate a series of proteins for which a set of selected criteria is met. The query results can be displayed in either text or graphical format. Significance The promise of text and data mining to facilitate and enhance research fundamentally has not yet been achieved, mainly because great numbers of stress-associated proteins are not deposited in databases. PlantPReS is a valuable database for the vast majority of researchers working in proteomics and plant stress areas. It has a user-friendly interface with a number of useful features, including a search engine, analysis tools, gene ontology, a function for cross-referencing useful external databases, and the expression pattern of stress associated proteins.
KW - Database
KW - Plant stress
KW - Proteomics
KW - GENES
UR - http://www.scopus.com/inward/record.url?scp=84964403917&partnerID=8YFLogxK
U2 - 10.1016/j.jprot.2016.03.009
DO - 10.1016/j.jprot.2016.03.009
M3 - Article
C2 - 26947550
AN - SCOPUS:84964403917
SN - 1874-3919
VL - 143
SP - 69
EP - 72
JO - Journal of Proteomics
JF - Journal of Proteomics
ER -