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A tissue-based approach to selection of reference genes for quantitative real-time PCR in a sheep osteoporosis model

Schulze, Felix ; Malhan, Deeksha ; EL Khassawna, Thaqif ; Heiss, Christian ; Seckinger, Anja ; Hose, Dirk ; Rösen-Wolff, Angela

In: BMC Genomics, 18 (2017), Nr. 975. pp. 2-9. ISSN 1471-2164

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Download (1MB) | Lizenz: Creative Commons LizenzvertragA tissue-based approach to selection of reference genes for quantitative real-time PCR in a sheep osteoporosis model by Schulze, Felix ; Malhan, Deeksha ; EL Khassawna, Thaqif ; Heiss, Christian ; Seckinger, Anja ; Hose, Dirk ; Rösen-Wolff, Angela underlies the terms of Creative Commons Attribution 4.0

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Abstract

Background: In order to better understand the multifactorial nature of osteoporosis, animal models are utilized and compared to healthy controls. Female sheep are well established as a model for osteoporosis induced by ovariectomy, calcium and vitamin D low diet, application of steroids, or a combination of these treatments. Transcriptional studies can be performed by applying quantitative real time PCR (RT-qPCR). RT-qPCR estimates mRNA-levels of target genes in relation to reference genes. A chosen set of reference genes should not show variation under experimental conditions. Currently, no standard reference genes are accepted for all tissue types and experimental conditions. Studies examining reference genes for sheep are rare and only one study described stable reference in mandibular bone. However, this type of bone differs from trabecular bone where most osteoporotic fractures occur. The present study aimed at identifying a set of reference genes for relative quantification of transcriptional activity of ovine spine bone and ovine in vitro differentiated mesenchymal stromal cells (MSC) for reliable comparability.

Methods: Twelve candidate reference genes belonging to different functional classes were selected and their expression was measured from cultured ovMSCs (n = 18) and ovine bone samples (n = 16), respectively. RefFinder was used to rank the candidate genes.

Results: We identified B2M, GAPDH, RPL19 and YWHAZ as the best combination of reference genes for normalization of RT-qPCR results for transcriptional analyses of these ovine samples.

Conclusion: This study demonstrates the importance of applying a set of reference genes for RT-qPCR analysis in sheep. Based on our data we recommend using four identified reference genes for relative quantification of gene expression studies in ovine bone or for in vitro experiments with osteogenically differentiated ovine MSCs.

Document type: Article
Journal or Publication Title: BMC Genomics
Volume: 18
Number: 975
Publisher: BioMed Central ; Springer
Place of Publication: London ; Berlin ; Heidelberg
Date Deposited: 30 May 2018 08:42
Date: 2017
ISSN: 1471-2164
Page Range: pp. 2-9
Faculties / Institutes: Medizinische Fakultät Heidelberg > Medizinische Universitäts-Klinik und Poliklinik
DDC-classification: 610 Medical sciences Medicine
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