Utility, limitations, and promise of proteomics in animal science
Section snippets
Background: transition from genomic studies to proteomic studies
Proteomics has rapidly moved from a relatively new technology to a rapidly maturing essential tool in the omics age. Its existence is largely due to the success of the genome projects as well as rapid advancements in commercial mass spectrometers. The field of proteomics could not exist without the success of the genome projects. The genome projects of the various domestic animals will continue to increase our ability to associate desired traits with the necessary genes/proteins. Genome
Utility: what questions does a proteomics experiment ask?
Proteins play many fundamental roles in all biological processes. Some functions of proteins include: structural building blocks, conduits of information, controllers of chemical reactions, and antimicrobial defense mechanisms. The functional abilities of cells are dynamic as cells respond to stimuli or stresses. Much of a cell's response to stimuli or stress is manifest by the alteration of the expression levels of various proteins. Identification and understanding of proteins involved in
Limitations: what are some difficulties of a proteomic experiment?
The promise of proteomics does come with a number of difficulties that must be addressed or acknowledged to reduce the limitations of this technology. Some of the factors that limit proteomics are the quality of the genomic databases, the complexity and dynamic range of proteins in a sample, the capabilities of various mass spectrometers, and the cost of these experiments.
Promise: what will proteomics be able to do?
Despite the limitations that the field of proteomics currently has to deal with, it has become an extremely important tool in biological sciences. The first unique advantage of this technology is the fact that a fairly large number of proteins can be identified and quantitated at one time, without any prior knowledge that any specific protein might exist in a sample. Analyzing a proteomic dataset can often lead to surprising results, and the unexpected may be the most interesting observation.
Conflict of interest
Authors have no financial or other relationships that would inappropriately influence this work.
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