Research Journal of Pharmacology and Pharmacodynamics

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Proteomics: A Tool in Future


Affiliations
1 Government College of Pharmacy, Karad, Dist -Satara-415124, M.S., India
2 Govt. College of Pharmacy, Karad, India
     

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Scientists are very interested in proteomics because it gives a much better understanding of an organism than genomics. First, the level of transcription of a gene gives only a rough estimate of its level of expression into a protein. Whole Genome Sequence gives complete proteins contain, but does not show how proteins function or biological processes occur. Proteomics gives large-scale study of proteins, particularly their structures and functions. Proteomics is a term in the study of genetics which refers to all the proteins expressed by a genome; proteomics involves the identification of proteins in the body and the determination of their role in physiological and pathphysiological functions. The term "proteomics" was coined to make an analogy with genomics, the study of the genes. The word "proteome" is a blend of "protein" and "genome". Proteomics technologies are of major three types Expression Proteomics, Structural Proteomics, Functional Proteomics. Proteomics is applied in various fields like Tumor Metastasis, renal disease diagnosis, Neurology etc. But proteomic technologies hold great promise in the search for clinically useful protein biomarkers for the early detection, diagnosis and prognosis of cancer and for monitoring response to therapy.

Keywords

Proteomics, Genomics, Genome, Proteome.
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  • Simon R., et al ,"Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models". Bioinformatics. 2008, 24 : 2894-2900. doi:10.1093/bioinformatics/btn553. PMID 18974169.

  • Vikas D, et al.. "New frontiers in proteomics research: A perspective". International Journal of Pharmaceutics.2005,299:1-18.

  • Buckingham, Steven 5. "The major world of microRNAs". Micrornas 2003, 01-14

  • Anderson N, Anderson N.. "Proteome and proteomics: new technologies, new concepts, and new words". Electrophoresis 1998,19 :1853-61.

  • Blackstock W, Weir M. "Proteomics: quantitative and physical mapping of cellular proteins". Trends Biotechnol. 1999, 17 : 121-7.

  • P. James. "Protein identification in the post-genome era: the rapid rise of proteomics.". Quarterly reviews of biophysics.1997,30: 279-331.

  • Marc R. Wilkins,. "From Proteins to Proteomes: Large Scale Protein Identification by Two-Dimensional Electrophoresis and Arnino Acid Analysis". Nature Biotechnology.1996, 14 : 61-65.

  • Wilkins, Marc R., et al. New Frontiers in Functional Genomics. Proteome Research New York: Springer-Verlag, 1997.

  • Belhajjame, K. et al. Proteome Data Integration: Characteristics and Challenges. Proceedings of the UK e-Science All Hands Meeting, ISBN 1-904425-53-4, September 2005, Nottingham, UK.

  • Liebler DC. Introduction to proteomics: tools for the new biology. 2002, 7: 89603-992.

  • Wilkins MR, Williams KL, Appel RD, Hochstrasser DF. Proteome Research: New Frontiers in Functional Genomics , Principles and Practice. 1997, 3-540-62753-7.

  • Twyman RM. Principles Of Proteomics .Advanced Text Series. 2004, 1-85996-273-4.

  • Fuchs, Jurgen, and Maurizio Podda, editors. Encyclopedia of Medical Genomics and Proteomics. New York: Dekker, 2005

  • Aebersold R., Mann M. Mass Spectrometry-Based Proteomics. Nature.2003, 422: 198-207.

  • Zhu, W., et al. 'Detection of Cancer-Specific Markers Amid Massive Mass Spectral Data.' Proceedings of the National Academy of Sciences . 2003,100: 14666-71.

  • Zhu H, et al. Global analysis of protein activities using proteome chips. Science . 2001,293:2101-2105

  • Arora PS,.Comparative evaluation of two two-dimensional gel electrophoresis image analysis software applications using synovial fluids from patients with joint disease. J Orthop Sci 2005,10,2: 160-6

  • Jorg von Hagen, VCH-Wiley Proteomics Sample Preparation. 2008,978-3-527-31796-7

  • Westermeier, R. and T. Naven.. Proteomics in practice: a laboratory manual of proteome analysis. 2002, 3-527-30354-5.

  • Hye A, Lynham S, Thambisetty M, et al. Proteome-based plasma biomarkers for Alzheimer's disease. Brain. 2006,129 ,Pt 11: 3042-50.

  • Perroud B, Lee J, Valkova N, et al. Pathway analysis of kidney cancer using proteomics and metabolic profiling. Mol Cancer. 2006. 5: 64.

  • Yohannes E, et al . Proteomics analysis identifies molecular targets related to diabetes mellitus-associated bladder dysfunction. Mol. Cell Proteomics. 2008,7: 1270-85.

  • Rogers M, et al.. Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionization and neuralnetwork analysis: identification of key issues affecting potential clinical utility. Cancer Res. 2003, 63: 6971-83.

  • Vasan R., Biomarkers of cardiovascular disease: molecular basis and practical considerations. Circulation . 2006, 113 : 2335-62.

  • Weaver R., Molecular biology , 3rd ed, New York: McGraw-Hill. 2005.

  • Karp N, et al, Impact of replicate types on proteomic expression analysis. Journal of proteome research. 2005, 4:1867-71

  • Karp N, Lilley KS., Maximising sensitivity for detecting changes in protein expression: experimental design using minimal CyDyes,. Proteomics. 2005 , 5:3105-15.

  • Martins D, et al., The untiring search for the most complete proteome representation: reviewing the methods, Brief Funct Genomic Proteomic. 2008, 7:312-21.

  • Dobrovetsky E, et al., A robust purification strategy to accelerate membrane proteomics. Methods. 2007, 41:381-7.

  • Watson J., Towards fully automated structure-based function prediction in structural genomics: a case study. J Mol Biol. 2007, 13;367:1511-22.

  • Norin M, Sundström M..Structural proteomics: developments in structure-to-function predictions,Trends Biotechnol. 2002 , 20:79-84.

  • Yakunin A., et al, Structural proteomics: a tool for genome annotation. Curr Opin Chem Biol. 2004, 8:42-8.

  • Frederic C., Functional Proteomics Mapping of a Human Signaling Pathway. Genome Res.,2004,14: 24-1332.

  • Cai Z, Chiu JF, He QY. Application of proteomics in the study of tumor metastasis. Genomics Proteomics Bioinformatics. 2004, 2:152-66.

  • Nancy Denslow,et al., Application of Proteomics Technology to the Field of Neurotrauma. Journal of Neurotrauma. 2003, 20: 401-407.


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  • Proteomics: A Tool in Future

Abstract Views: 188  |  PDF Views: 0

Authors

Pallavi Salve
Government College of Pharmacy, Karad, Dist -Satara-415124, M.S., India
Rupali Kirtawade
Govt. College of Pharmacy, Karad, India
Deepali Gharge
Govt. College of Pharmacy, Karad, India
Pandurang Dhabale
Govt. College of Pharmacy, Karad, India
Kishor Burade
Govt. College of Pharmacy, Karad, India

Abstract


Scientists are very interested in proteomics because it gives a much better understanding of an organism than genomics. First, the level of transcription of a gene gives only a rough estimate of its level of expression into a protein. Whole Genome Sequence gives complete proteins contain, but does not show how proteins function or biological processes occur. Proteomics gives large-scale study of proteins, particularly their structures and functions. Proteomics is a term in the study of genetics which refers to all the proteins expressed by a genome; proteomics involves the identification of proteins in the body and the determination of their role in physiological and pathphysiological functions. The term "proteomics" was coined to make an analogy with genomics, the study of the genes. The word "proteome" is a blend of "protein" and "genome". Proteomics technologies are of major three types Expression Proteomics, Structural Proteomics, Functional Proteomics. Proteomics is applied in various fields like Tumor Metastasis, renal disease diagnosis, Neurology etc. But proteomic technologies hold great promise in the search for clinically useful protein biomarkers for the early detection, diagnosis and prognosis of cancer and for monitoring response to therapy.

Keywords


Proteomics, Genomics, Genome, Proteome.

References