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README (supplemental)CC BY V4.0, Open Access
DataCC BY V4.0, Open Access
DataCC BY V4.0, Open Access
DataCC BY V4.0, Open Access
DataCC BY V4.0, Open Access
Dataset
Transcriptional analysis of differential immune and inflammatory responses to Sarcoptes scabiei infestation in a porcine model
University of the Sunshine Coast
2019
DOI:
https://doi.org/10.25907/5d2fbcaf59c5d
Appears in UniSC Research Data Collection
Abstract
Transriptomic analysis of the skin immune response to Sarcoptes scabiei infestation in pigs with different clinical manifestations of scabies. Four biological replicates each from non-infested control, ordinary scabies and crusted scabies were compared by microarray at baseline week 0, and at weeks 1, 2, 4 and 8 post-infestation. The Agilent A-GEOD-10162 Porcine Gene Expression Microarray 4 x 44K was used. Gene lists were generated following array QC, normalisation and two way ANOVA comparing CS vs OS, CS vs control and OS vs control groups.
Details
- Title
- Transcriptional analysis of differential immune and inflammatory responses to Sarcoptes scabiei infestation in a porcine model
- Authors
- Sajad A Bhat (Data Collector) - University of the Sunshine CoastShelley F Walton (Data Collector) - University of the Sunshine CoastTomer Ventura (Data Collector) - University of the Sunshine CoastXiao Song Liu (Data Collector) - University of the Sunshine CoastJames S McCarthy (Data Collector)Stewart T Burgess (Data Collector)Kate E Mounsey (Data Collector) - University of the Sunshine Coast
- Format
- 2 MS Excel (.xls) files, 2 MS Excel (.xlsx); total 1.5MB
- Location
- Location: University of the Sunshine Coast, Sippy Downs
- Publisher
- University of the Sunshine Coast
- Date collected
- 2013–2017
- Date published
- 2019
- DOI
- 10.25907/5d2fbcaf59c5d
- Copyright note
- Copyright © 2019 The Authors. This collection is licenced under a Creative Commons Attribution 4.0 Licence (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/
- Organisation Unit
- School of Health - Biomedicine; School of Science and Engineering - Legacy; GeneCology Research Centre - Legacy; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99451434402621
- Output Type
- Dataset
Metrics
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