Insights from the molecular characterization of mercury stress proteins identified by proteomics in <i>E.coli</i> nissle 1917

BACK TO CONTENTS | PDF | PREVIOUS |

Title	*Insights from the molecular characterization of mercury stress proteins identified by proteomics in E.coli* nissle 1917**
Authors	Panthangi Seshapani¹, Daddam Jayasimha Rayalu², Vadde Kiran Kumar³, Kathera Chandra Sekhar¹ & Jasti Pramoda Kumari¹*
Affiliation	¹Department of Microbiology, Sri Venkateswara University, Tirupati-517 502, A.P; ²Department of Bioinformatics, Global Institute of Biotechnology, Himaytanagar, Hyderabad-29, A.P,India; ³Microbiology Laboratory, Global Institute of Biotechnology, Himaytanagar, Hyderabad-29, A.P, India
Email	pramodakumari@gmail.com; *Corresponding author
Article Type	Hypothesis
Date	Received March 16, 2013; Revised April 03, 2013; Accepted April 05, 2013; Published May 25, 2013
Abstract	Differently expressed proteins in probiotic Escherichia coli nissle 1917 under mercury stress identified by using a proteomic approach. We applied to separate proteins by using two-dimensional gel electrophoresis and proteins were identified using MALDI-TOF-MS using PMF, by mascot database search using the NCBI database. we identified six proteins after exposure to mercury stress with respect to different functional classes. It is useful to understand the molecular insights into mercury stress in probiotic E. coli. Next we describe a structure generated by homology modelling and functional domain identification; it is interesting to study the impact of stress on protein structures. MS characterization and computational methods together provide the opportunity to examine the impact of stress arising from mercury. The role of these proteins in metal tolerance and structure relation is discussed. To the best of our knowledge, proteomics of E. coli nissle 1917 overview of mercury stress has been reported for the first time.
Keywords	E. coli nissle 1917, Mercury, 2D-PAGE, Mass spectroscopy, Homology modelling.
Citation	Seshapani et al. Bioinformation 9(9): 485-490 (2013)
Edited by	P Kangueane
ISSN	0973-2063
Publisher	Biomedical Informatics
License	This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License..