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Journal of circadian rhythms2012; 10(1); 7; doi: 10.1186/1740-3391-10-7

Investigation of a non-invasive method of assessing the equine circadian clock using hair follicle cells.

Abstract: A comprehensive understanding of the equine circadian clock involves the evaluation of circadian clock gene expression. A non-invasive and effective method for detecting equine clock gene expression has yet to be established. Currently, research surrounding this area has relied on collecting tissue biopsies or blood samples that can often be costly, time consuming and uncomfortable for the animal. Methods: Five mares were individually stabled under a light-dark (LD) cycle that mimicked the external environmental photoperiod during a time of year corresponding with the vernal equinox. Hair follicles were collected every 4 h over a 24-h period by plucking hairs from the mane. RNA was extracted and quantitative (q) PCR assays were performed to determine temporal expression patterns for the core clock genes; ARNTL, CRY1, PER1, PER2, NR1D2 and the clock controlled gene, DBP. Results: Repeated measures ANOVA for the clock gene transcripts PER1 and PER2 and the clock controlled gene, DBP, revealed significant variation in expression over time (p < .05, respectively). Cosinor analysis confirmed a significant 24-h temporal component for PER1 (p = .002) and DBP (p = .0033) and also detected rhythmicity for NR1D2 (p = .0331). Conclusions: We show that the extraction of RNA from equine hair follicle cells can identify the circadian 24 h oscillations of specific clock genes and a clock-controlled gene and therefore provide a valuable non-invasive method for evaluating the equine peripheral circadian clock. This method will serve as a useful tool for future evaluations of equine circadian rhythms and their response to environmental changes.
Publication Date: 2012-10-05 PubMed ID: 23039139PubMed Central: PMC3514281DOI: 10.1186/1740-3391-10-7Google Scholar: Lookup
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  • Journal Article

Summary

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This research article is about the development and testing of a non-invasive method to study gene expression related to the circadian clock in horses using hair follicle cells.

Methodology

The study involved:

  • Five mares. They were individually kept in stables under a light-dark cycle that imitated the changing photoperiods of the vernal equinox.
  • Every 4 hours over a 24-hour cycle, hair follicles were collected from each horse by plucking hair from their mane.
  • RNA was extracted from these follicles and quantitative PCR assays were conducted to determine the temporal expression patterns of a set of genes related to the circadian clock: ARNTL, CRY1, PER1, PER2, and NR1D2, as well as DBP, a gene controlled by the circadian clock.

Results

The results indicated:

  • Significant variations in the expression of the clock gene transcripts PER1 and PER2, and the clock-controlled gene DBP, over time.
  • Cosinor analysis confirmed a 24-hour temporal component for PER1 and DBP and detected rhythm for NR1D2.
  • In effect, these results indicate that they were able to identify 24-hour oscillations of specific clock genes, and a clock-controlled gene, from RNA extracted from horse hair follicles.

Conclusions and Implications

  • The researchers concluded that the method they used is a valuable, non-invasive way to study the circadian clocks in horses.
  • This method will serve as a useful tool for future studies exploring equine circadian rhythms and their response to environmental changes.
  • Given that previous methods required tissue biopsies or blood samples, which are invasive, costly, time-consuming, and potentially uncomfortable for the animal, this novel method represents a significant improvement.

Cite This Article

APA
Watts LM, Browne JA, Murphy BA. (2012). Investigation of a non-invasive method of assessing the equine circadian clock using hair follicle cells. J Circadian Rhythms, 10(1), 7. https://doi.org/10.1186/1740-3391-10-7

Publication

ISSN: 1740-3391
NlmUniqueID: 101200389
Country: England
Language: English
Volume: 10
Issue: 1
Pages: 7

Researcher Affiliations

Watts, Lisa M
  • School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland. barbara.murphy@ucd.ie.
Browne, John A
    Murphy, Barbara A

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      Citations

      This article has been cited 6 times.
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