Back to Search
Start Over
The potential of circulating extracellular small RNAs (smexRNA) in veterinary diagnostics—Identifying biomarker signatures by multivariate data analysis
- Source :
- Biomolecular Detection and Quantification, Biomolecular Detection and Quantification, Vol 5, Iss C, Pp 15-22 (2015)
- Publication Year :
- 2015
- Publisher :
- Elsevier, 2015.
-
Abstract
- Worldwide growth and performance-enhancing substances are used in cattle husbandry to increase productivity. In certain countries however e.g., in the EU, these practices are forbidden to prevent the consumers from potential health risks of substance residues in food. To maximize economic profit, ‘black sheep‘ among farmers might circumvent the detection methods used in routine controls, which highlights the need for an innovative and reliable detection method. Transcriptomics is a promising new approach in the discovery of veterinary medicine biomarkers and also a missing puzzle piece, as up to date, metabolomics and proteomics are paramount. Due to increased stability and easy sampling, circulating extracellular small RNAs (smexRNAs) in bovine plasma were small RNA-sequenced and their potential to serve as biomarker candidates was evaluated using multivariate data analysis tools.After running the data evaluation pipeline, the proportion of miRNAs (microRNAs) and piRNAs (PIWI-interacting small non-coding RNAs) on the total sequenced reads was calculated. Additionally, top 10 signatures were compared which revealed that the readcount data sets were highly affected by the most abundant miRNA and piRNA profiles. To evaluate the discriminative power of multivariate data analyses to identify animals after veterinary drug application on the basis of smexRNAs, OPLS-DA was performed. In summary, the quality of miRNA models using all mapped reads for both treatment groups (animals treated with steroid hormones or the β-agonist clenbuterol) is predominant to those generated with combined data sets or piRNAs alone. Using multivariate projection methodologies like OPLS-DA have proven the best potential to generate discriminative miRNA models, supported by small RNA-Seq data. Based on the presented comparative OPLS-DA, miRNAs are the favorable smexRNA biomarker candidates in the research field of veterinary drug abuse.
- Subjects :
- CLEN, treated group with clenbuterol-hydrochloride
Multivariate statistics
Veterinary medicine
Multivariate analysis
smexRNA, circulating extracellular small RNA
CON, control group
P + EB, treated group with steroid hormone implant: progesterone plus estradiol benzoate
lcsh:QR1-502
Small RNA-Sequencing
Piwi-interacting RNA
Biology
Proteomics
Bioinformatics
small RNA-Seq, small RNA-Sequencing
Biochemistry
lcsh:Microbiology
Biomarker signatures
Metabolomics
DA, discriminant analysis
Structural Biology
EU, European Union
exRNA, extracellular RNA
microRNA
miRNA, microRNA
Veterinary drug
Multivariate data analysis
Transcriptomics
Molecular Biology
lcsh:QH301-705.5
PCA, principal component analysis
Circulating small RNAs
PLS, partial least-squares projection
piRNA, PIWI-interacting small non-coding RNA
Veterinary diagnostics
rpm, reads per million
lcsh:Biology (General)
Molecular Medicine
Biomarker (medicine)
OPLS, orthogonal partial least-squares
Research Paper
Subjects
Details
- Language :
- English
- ISSN :
- 22147535
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Biomolecular Detection and Quantification
- Accession number :
- edsair.doi.dedup.....6180892c5857f4bc1c1f88338c0e5d0c