Transcriptome analysis of equine sarcoids

Semik, E.; Gurgul, A.; Ząbek, T.; Ropka-Molik, K.; Koch, Christoph; Mählmann, K.; Bugno-Poniewierska, M. (2017). Transcriptome analysis of equine sarcoids. Veterinary and comparative oncology, 15(4), pp. 1370-1381. Wiley 10.1111/vco.12279

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Equine sarcoids are the most commonly detected skin tumours in Equidae. In the present research, a comparative transcriptomic analysis was performed which aimed at looking inside a tumour biology and identification of the expression profile as a potential source of cancer specific genes useful as biomarkers. We have used Horse Gene Expression Microarray data from matched equine sarcoids and tumour-distant skin samples. In total, 901 significantly differentially expressed genes (DEGs) between lesional and healthy skin samples have been identified (fold change ≥ 2; P < 0.05). The large subset of DEGs, with decreased expression, was associated with a suppression of malignant transformation, whereas several overexpressed genes were involved in the processes associated with growth and progression of a tumour or immune system activity. Our results, as a first to date, showed comprehensive transcriptome analysis of skin tumour in horses and pinpointed significant pathways and genes related with oncogenesis processes.

Item Type:

Journal Article (Original Article)

Division/Institute:

05 Veterinary Medicine > Research Foci > DermFocus
05 Veterinary Medicine > Research Foci > Host-Pathogen Interaction
05 Veterinary Medicine > Department of Clinical Veterinary Medicine (DKV) > ISME Equine Clinic Bern > ISME Equine Clinic, Internal medicine
05 Veterinary Medicine > Department of Clinical Veterinary Medicine (DKV)

UniBE Contributor:

Koch, Christoph

Subjects:

600 Technology > 630 Agriculture

ISSN:

1476-5810

Publisher:

Wiley

Language:

English

Submitter:

Andrea Gassmann-Suter

Date Deposited:

29 Jun 2017 08:23

Last Modified:

05 Dec 2022 15:03

Publisher DOI:

10.1111/vco.12279

PubMed ID:

27779365

BORIS DOI:

10.7892/boris.96027

URI:

https://boris.unibe.ch/id/eprint/96027

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