1. Application of Functional Genomics for Bovine Respiratory Disease Diagnostics
- Author
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William B. Epperson, Aswathy N. Rai, and Bindu Nanduri
- Subjects
Microarray ,040301 veterinary sciences ,Bovine respiratory disease ,Genomics ,Context (language use) ,Disease ,Computational biology ,Review ,Bioinformatics ,Proteomics ,Biochemistry ,AgBase ,0403 veterinary science ,03 medical and health sciences ,host–pathogen interaction database (HPIDB) ,medicine ,Molecular Biology ,lcsh:QH301-705.5 ,030304 developmental biology ,2. Zero hunger ,0303 health sciences ,business.industry ,Applied Mathematics ,04 agricultural and veterinary sciences ,medicine.disease ,3. Good health ,Computer Science Applications ,Computational Mathematics ,bovine genome atlas ,lcsh:Biology (General) ,bovine respiratory disease (BRD) ,DNA microarray ,business ,Functional genomics ,functional genomics - Abstract
Bovine respiratory disease (BRD) is the most common economically important disease affecting cattle. For developing accurate diagnostics that can predict disease susceptibility/resistance and stratification, it is necessary to identify the molecular mechanisms that underlie BRD. To study the complex interactions among the bovine host and the multitude of viral and bacterial pathogens, as well as the environmental factors associated with BRD etiology, genome-scale high-throughput functional genomics methods such as microarrays, RNA-seq, and proteomics are helpful. In this review, we summarize the progress made in our understanding of BRD using functional genomics approaches. We also discuss some of the available bioinformatics resources for analyzing high-throughput data, in the context of biological pathways and molecular interactions. Although resources for studying host response to infection are available, the corresponding information is lacking for majority of BRD pathogens, impeding progress in identifying diagnostic signatures for BRD using functional genomics approaches.
- Published
- 2015