Samir V. Deshpande

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BACKGROUND In 2010 Colony Collapse Disorder (CCD), again devastated honey bee colonies in the USA, indicating that the problem is neither diminishing nor has it been resolved. Many CCD investigations, using sensitive genome-based methods, have found small RNA bee viruses and the microsporidia, Nosema apis and N. ceranae in healthy and collapsing colonies(More)
Modern taxonomy, diagnostics, and forensics of bacteria benefit from technologies that provide data for genome-based classification and identification of strains; however, full genome sequencing is still costly, lengthy, and labor intensive. Therefore, other methods are needed to estimate genomic relatedness among strains in an economical and timely manner.(More)
Whole cell protein and outer membrane protein (OMP) extracts were compared for their ability to differentiate and delineate the correct database organism to an experimental sample and for the degree of dissimilarity to the nearest neighbor database organism strains. These extracts were isolated from pathogenic and nonpathogenic strains of Yersinia pestis(More)
Due to the possibility of a biothreat attack on civilian or military installations, a need exists for technologies that can detect and accurately identify pathogens in a near-real-time approach. One technology potentially capable of meeting these needs is a high-throughput mass spectrometry (MS)-based proteomic approach. This approach utilizes the knowledge(More)
Cyclization of a peptide through the formation of a disulfide bond between the SH groups of cysteines on the N- and C-terminals of peptide was studied in degassed water solution under vacuum. Cyclization went to completion although the solution was oxygen deficient (the number of oxygen molecules available for the reaction was at least 16 times less than(More)
This report explores the direct counting of "hair-like" struc-tures specific for Gram-positive bacteria. Indications show that these structures are intact after removal from the cell and are sufficiently different from species to species of bacteria to give an indication of bacteria type if not actual identification. Their detection would represent a new(More)
A "one-pot" alternative method for processing proteins and isolating peptide mixtures from bacterial samples is presented for liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis and data reduction. The conventional in-solution digestion of the protein contents of bacteria is compared to a small disposable filter unit placed inside a(More)
We have developed an integrated and automated software application for rapid bacterial identification using a relational database management system and liquid chromatography-electrospray-ion trap mass spectrometry (LC-ESl-MS). LC-ESI-MS is used to generate chromatographic profiles of proteins in a bacterial sample along with a software program that(More)