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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A tissue-based approach to selection of reference genes for quantitative real-time PCR in a sheep osteoporosis model
|
|---|---|
| Published in |
BMC Genomics, December 2017
|
| DOI | 10.1186/s12864-017-4356-4 |
| Pubmed ID | |
| Authors |
Felix Schulze, Deeksha Malhan, Thaqif El Khassawna, Christian Heiss, Anja Seckinger, Dirk Hose, Angela Rösen-Wolff |
| Abstract |
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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 8 | 15% |
| Researcher | 7 | 13% |
| Student > Bachelor | 5 | 9% |
| Other | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 26% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Agricultural and Biological Sciences | 5 | 9% |
| Nursing and Health Professions | 3 | 6% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 17 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 January 2018.
All research outputs
#13,001,255
of 23,015,156 outputs
Outputs from BMC Genomics
#4,556
of 10,697 outputs
Outputs of similar age
#203,955
of 440,405 outputs
Outputs of similar age from BMC Genomics
#102
of 225 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.