Biomedical subjects

Shashikant B Joshi

Publications and source records attributed to Shashikant B Joshi.

2 recordsLinked to original sources

PubMed2006

SPLASH: systematic proteomics laboratory analysis and storage hub.

In the field of proteomics, the increasing difficulty to unify the data format, due to the different platforms/instrumentation and laboratory documentation systems, greatly hinders experimental data verification, exchange, and comparison. Therefore, it is essential to establish standard formats for every necessary aspect of proteomics data. One of the recently published data models is the proteomics experiment data repository [Taylor, C. F., Paton, N. W., Garwood, K. L., Kirby, P. D. et al., Nat. Biotechnol. 2003, 21, 247-254]. Compliant with this format, we developed the systematic proteomics laboratory analysis and storage hub (SPLASH) database system as an informatics infrastructure to support proteomics studies. It consists of three modules and provides proteomics researchers a common platform to store, manage, search, analyze, and exchange their data. (i) Data maintenance includes experimental data entry and update, uploading of experimental results in batch mode, and data exchange in the original PEDRo format. (ii) The data search module provides several means to search the database, to view either the protein information or the differential expression display by clicking on a gel image. (iii) The data mining module contains tools that perform biochemical pathway, statistics-associated gene ontology, and other comparative analyses for all the sample sets to interpret its biological meaning. These features make SPLASH a practical and powerful tool for the proteomics community.

Database Management Systems↗

PubMed2005

Proteomic studies of the Singapore grouper iridovirus.

The Singapore grouper iridovirus (SGIV) genome consists of a double-stranded circular DNA of 140,131 base pairs with 162 predicted open reading frames. Our earlier study using peptide mass fingerprints generated from MALDI-TOF MS led to the identification of 26 viral proteins. The present investigation aimed to achieve a more comprehensive and precise identification of the SGIV viral proteome by two workflows: one-dimensional gel electrophoresis (1-DE) separation followed by protein identification by MALDI-TOF/TOF MS/MS (1-DE-MALDI workflow) and shotgun proteomics in which the whole virus was digested by trypsin and the resulting peptides were separated by nano-LC and analyzed by MALDI-TOF/TOF MS/MS (LC-MALDI workflow). In total, 44 viral proteins were identified, 25 of which were reported for the first time. Fourteen proteins were uniquely identified by the 1-DE-MALDI workflow, whereas another 10 proteins were only identified by the LC-MALDI workflow with 20 proteins found by both approaches. Moreover 13 proteins were found to have acetylated N termini. Twenty-three proteins identified contain predicted transmembrane domains, accounting for 52.3% of the total proteins identified. RT-PCR confirmed the transcription products of all the identified viral proteins. A large number of proteins identified by both the 1-DE-MALDI and the LC-MALDI workflows from this study have significantly enhanced the coverage of the SGIV proteome. The SGIV proteome is at present the only iridoviral proteome that has been extensively characterized. Our results should provide further insights into the biology of SGIV and other iridoviruses.

Amino Acid Sequence↗