In India, blackgram is the main edible crop ranking fourth among the pulses. There is a need to increase the performance of pulse crops, particularly in developing countries, where most grain legume production is for human consumption and demand is increasing due to population increase.Investigation was carried out on the possible effects of artificial ageing on dry seeds of blackgram. We have analyzed the quantitative and qualitative proteome changes in artificially aged dry seeds compared with that in control and the results were presented herein.Fresh seeds taken as control and 6 days artificially seeds as test.There were totally 59 spots detected both in fresh and accelerated aged seeds. Among these 16 spots differentially were expressed by artificial ageing, including 4 up regulated spots and 12 down regulated ones. The reference 2D-PAGE gel shows the position of each identified protein in control. The entire list of protein can also be obtained by selecting the crop variety displayed inside the table. By selecting the spot in the gel image the entire information about that protein in both control as well as test can be obtained.All the reference maps are also displayed under 2D gel section for a quick reference.

1. Tamil Nadu Agricultural University Proteome DataBase
(TNAU PDB)-Black Gram Proteome
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2. Introduction
• TNAU PDB (TNAU Proteome DataBase) is a data repository of
various biotic and abiotic stress related proteins which are
identified from various organism using proteomics approach.
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3. Need for Black Gram Database
• The basic intention of this database is to provide the detailed
information about proteome of black gram.
• Results in improved understanding of adaptive and general
protective mechanisms, conferring enhanced stress tolerance
to plants.
• Assists in building a comprehensive platform for future Black
gram proteomics
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4. Workflow Client tier
Application server
Database
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5. Generation of Data
• Blackgram seeds were artificially aged at 40°C (8.98%
moisture content) for 6 days, and the total protein was
extracted from embryos of the dry seeds.
• Two-dimensional electrophoresis was performed and the
differentially expressed proteins were identified by matrix-
assisted laser desorption ionization-time of flight mass
spectrometry.
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6. Schematic representation of proteome
data architecture
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7. Black Gram Proteome Database
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8. Result
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9. Database features
• All the reference maps are also displayed under 2D gel
section for a quick reference.
• The experiment protocols are listed under the protocol
section.
• Some of the major proteomics tools like includes Mascot,
Compute pI/Mw tool in ExPASy and ExPASy Proteomics tools
are displayed under proteome tools section.
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10. Future Prospects
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11. Reference
• Murukarthick, J., N. Senthil, M. Raveendran, P. Prabhakaran, G.
Sreedevi, M. Sumanth Kumar, V. G. Shobhana, S. Dhanya, R. Khushboo,
S. Arumugasamy, R. Ravikesavan and S. V. K. Jagadish. 2011. Biogen
Base – An Interactive Maize Database for Phenomics Platform.
International Journal of Computer Application. 2: 56–61
• Setsuko Komatsu, Keiichi Kojima, Kouji Suzuki, Kazuo Ozaki and Kenichi
Higo. 2004. Rice Proteome Database based on two-dimensional
polyacrylamide gel electrophoresis: its status in 2003. Nucleic Acids
Research, Vol. 32, Database issue.
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12. Visit TNAU Genomics at www.tnaugenomics.com
Project Guide : Dr.N.Senthil, Professor
Presented by,
S.SWATHI BTI-09-028