A huge number of genes within the human genome code are proteins that mediate and/or control genetics processes. Although a large body of information on the number of genes, on chromosomal localisation, gene structure and function has been gathered, we are far from understanding the orchestrated way of how they make metabolism. Nevertheless, based on the genetic information emerging on a daily basis, we are offered fantastic new tools that allow us new insights into the molecular basis of human metabolism under normal as well as pathophysiological conditions. Recent technological advancements have made it possible to analyse simultaneously large sets of mRNA and/or proteins expressed in a biological sample or to define genetic heterogeneity that may be important for the individual response of an organism to changes in its nutritional environment. Applications of the new techniques of genome and proteome analysis are central for the development of nutritional sciences in the next decade and its integration into the rapidly developing era of functional genomics.
The proteome is the entire set of proteins that are produced or modified by an organism or system. This varies with time and distinct requirements, or stresses, that a cell or organism undergoes. Proteomics is an interdisciplinary domain that has benefitted greatly from the genetic information of the Human Genome Project; it also covers emerging scientific research and the exploration of proteomes from the overall level of intracellular protein composition, structure, and its own unique activity patterns. It is an important component of functional genomics.
While proteomics generally refers to the large-scale experimental analysis of proteins, it is often specifically used for protein purification and mass spectrometry. After genomics and transcriptomics, proteomics is the next step in the study of biological systems. It is more complicated than genomics because an organism's genome is more or less constant, whereas the proteome differs from cell to cell and from time to time. Distinct genes are expressed in different cell types, which means that even the basic set of proteins that are produced in a cell needs to be identified.
Table of Contents
1.0 INTRODUCTION
1.1 LIMITATIONS OF GENOMICS AND PROTEOMICS STUDIES
2.0 METHODS OF STUDYING PROTEINS
2.1 PROTEIN DETECTION WITH ANTIBODIES (IMMUNOASSAYS)
2.2 ANTIBODY-FREE PROTEIN DETECTION
3.0 CURRENT RESEARCH METHODOLOGIES
3.1 HIGH-THROUGHPUT PROTEOMIC TECHNOLOGIES
3.2 REVERSE-PHASED PROTEIN MICROARRAYS
4.0 PRACTICAL APPLICATIONS OF PROTEOMICS
4.1 INTERACTION PROTEOMICS AND PROTEIN NETWORKS
4.2 PROTEOGENOMICS
4.3 STRUCTURAL PROTEOMICS
4.4 COMPUTATIONAL METHODS IN STUDYING PROTEIN BIOMARKERS
5.0 EMERGING TRENDS IN PROTEOMICS
5.1 PROTEOMICS FOR SYSTEMS BIOLOGY
5.2 HUMAN PLASMA PROTEOME
Research Objectives and Themes
The primary objective of this work is to explore the field of proteomics as a crucial evolution beyond genomics, aiming to understand how proteins mediate metabolism and cellular function. The paper investigates the methodological advancements in protein analysis and examines how proteomic insights can be integrated into functional genomics and clinical diagnostics.
- Methodological evolution in protein detection and quantification.
- Application of proteomics in drug discovery and personalized medicine.
- Utilization of computational models for biomarker identification.
- Integration of proteomics into systems biology and disease profiling.
Excerpt from the Book
1.0 INTRODUCTION
Proteomics is the large-scale study of proteins (Anderson N.G et al., 1998 and Blackstock W.P et al., 1999). Proteins are vital parts of living organisms, with many functions. The term proteomics was coined in 1997 (P. James, 1997) in analogy with genomics, the study of the genome. The word proteome is a portmanteau of protein and genome, and was coined by Marc Wilkins in 1994 while he was a PhD student at Macquarie University (Wasinger, 1995). Macquarie University also founded the first dedicated proteomics laboratory in 1995 (Swinbanks, 1995) (the Australian Proteome Analysis Facility – APAF) APAF, 2017.
The proteome is the entire set of proteins that are produced or modified by an organism or system. This varies with time and distinct requirements, or stresses, that a cell or organism undergoes (Anderson et al, 2016).Proteomics is an interdisciplinary domain that has benefitted greatly from the genetic information of the Human Genome Project; (Hood et al., 2013)it also covers emerging scientific research and the exploration of proteomes from the overall level of intracellular protein composition, structure, and its own unique activity patterns. It is an important component of functional genomics.
Summary of Chapters
1.0 INTRODUCTION: Defines proteomics as an interdisciplinary field and explains the shift from genomics to proteome analysis due to the dynamic nature of proteins.
2.0 METHODS OF STUDYING PROTEINS: Discusses the primary experimental approaches to protein detection, focusing on both antibody-based techniques and antibody-free methods.
3.0 CURRENT RESEARCH METHODOLOGIES: Explores technological frameworks for large-scale analysis, including mass spectrometry and microarray applications.
4.0 PRACTICAL APPLICATIONS OF PROTEOMICS: Details the utility of proteomic data in drug discovery, interaction networks, and clinical biomarker research.
5.0 EMERGING TRENDS IN PROTEOMICS: Outlines future directions, particularly the integration of proteomics into systems biology and the challenges of human plasma analysis.
Keywords
Proteomics, Genome, Proteome, Genetics research, Mass spectrometry, Microarrays, Biomarkers, Systems biology, Human plasma proteome, Protein interactions, Proteogenomics, Structural proteomics, Bioinformatics, Functional genomics, Cellular metabolism.
Frequently Asked Questions
What is the primary focus of this work?
This work provides an overview of proteomics, focusing on its definition, key methodologies, practical applications, and emerging trends in biological research.
What are the core thematic areas?
The core themes include protein detection techniques, the transition from genomics to functional proteomics, clinical biomarker discovery, and the application of systems biology.
What is the main objective?
The goal is to demonstrate the significance of proteomics in understanding cellular metabolism and its role as a necessary advancement in the post-genomic era.
Which scientific methods are primarily discussed?
The work discusses mass spectrometry, antibody-based immunoassays (ELISA, Western blot), reverse-phase protein microarrays, and computational modeling.
What does the main body cover?
It covers the limitations of genomics, current research methodologies, practical drug-discovery applications, and the systemic study of proteins in human plasma.
What are the characterizing keywords?
Key terms include Proteomics, Proteome, Mass spectrometry, Biomarkers, Systems biology, and Functional genomics.
Why is proteomics considered more complex than genomics?
Proteomics is more complex because, while an organism's genome is largely constant, the proteome is highly dynamic, varying between cell types, environmental stresses, and over time.
How does the author describe the challenge of plasma proteomics?
The author identifies the extreme dynamic range of proteins in plasma and the temporal/spatial dynamics as primary challenges, making cataloging a daunting task.
What is the significance of "reverse-phased protein microarrays"?
These arrays, when combined with laser capture microdissection, allow researchers to monitor the proteomic state of specific cell populations in complex tissues like tumors.
- Quote paper
- Kehinde Sowunmi (Author), 2020, Proteomics. Importance for the Future of Genetics Research, Munich, GRIN Verlag, https://www.grin.com/document/517924
