Abstract
The term ‘proteomics’ indicates PROTEins expressed by a genOME and is the systematic analysis of protein profiles of tissues. Proteomics parallels the related field of genomics. Now that the human genome has been sequenced, we face the greater challenge of making use of this information for improving healthcare and discovering new drugs. There is an increasing interest in proteomics technologies now because DNA sequence information provides only a static snapshot of the various ways in which the cell might use its proteins whereas the life of the cell is a dynamic process. A detailed discussion of proteomics is given in a special report on this topic (Jain 2009e). Application to development of personalized medicine will be discussed here briefly. The role of proteomics in drug development can be termed “pharmacoproteomics”. Proteomics-based characterization of multifactorial diseases may help to match a particular target-based therapy to a particular marker in a subgroup of patients. The industrial sector is taking a lead in developing this area. Individualized therapy may be based on differential protein expression rather than genetic polymorphism. Proteomics will have a great impact on diagnosis during the first decade of the twenty-first century. By the end of the decade protein chip-based tests will be available for several diseases. Knowledge gained from genomics and proteomics will be combined to provide optimal detection of disease at an early stage for prevention or early intervention. Proteomics-based molecular diagnostics will have an important role in the diagnosis of certain conditions and proteomics-based medicines would be integrated in the total healthcare of a patient.
Keywords
- Personalized Medicine
- Fabry Disease
- Spinocerebellar Ataxia
- Nephrogenic Diabetes Insipidus
- Hypogonadotropic Hypogonadism
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hood L, Heath JR, Phelps ME, Lin B (2004) Systems biology and new technologies enable predictive and preventative medicine. Science 306:640–643
Jain KK (2009e) Proteomics: technologies, markets and companies. Jain PharmaBiotech, Basel, Switzerland.
Kikkawa R, Yamamoto T, Fukushima T, Yamada H, (2005) Horii I. Investigation of a hepatotoxicity screening system in primary cell cultures – “what biomarkers would need to be addressed to estimate toxicity in conventional and new approaches?” J Toxicol Sci 30:61–72
VanMeter A, Signore M, Pierobon M et al (2007) Reverse-phase protein microarrays: application to biomarker discovery and translational medicine. Expert Rev Mol Diagn 7:625–633
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Jain, K.K. (2009). Role of Pharmacoproteomics. In: Textbook of Personalized Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0769-1_6
Download citation
DOI: https://doi.org/10.1007/978-1-4419-0769-1_6
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-0768-4
Online ISBN: 978-1-4419-0769-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)