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Attention Score in Context
| Title |
Reference gene validation for gene expression normalization in canine osteosarcoma: a geNorm algorithm approach
|
|---|---|
| Published in |
BMC Veterinary Research, November 2017
|
| DOI | 10.1186/s12917-017-1281-3 |
| Pubmed ID | |
| Authors |
Gayathri Thevi Selvarajah, Floor A. S. Bonestroo, Elpetra P. M. Timmermans Sprang, Jolle Kirpensteijn, Jan A. Mol |
| Abstract |
Quantitative PCR (qPCR) is a common method for quantifying mRNA expression. Given the heterogeneity present in tumor tissues, it is crucial to normalize target mRNA expression data using appropriate reference genes that are stably expressed under a variety of pathological and experimental conditions. No studies have validated specific reference genes in canine osteosarcoma (OS). Previous gene expression studies involving canine OS have used one or two reference genes to normalize gene expression. This study aimed to validate a panel of reference genes commonly used for normalization of canine OS gene expression data using the geNorm algorithm. qPCR analysis of nine canine reference genes was performed on 40 snap-frozen primary OS tumors and seven cell lines. Tumors with a variety of clinical and pathological characteristics were selected. Gene expression stability and the optimal number of reference genes for gene expression normalization were calculated. RPS5 and HNRNPH were highly stable among OS cell lines, while RPS5 and RPS19 were the best combination for primary tumors. Pairwise variation analysis recommended four and two reference genes for optimal normalization of the expression data of canine OS tumors and cell lines, respectively. Appropriate combinations of reference genes are recommended to normalize mRNA levels in canine OS tumors and cell lines to facilitate standardized and reliable quantification of target gene expression, which is essential for investigating key genes involved in canine OS metastasis and for comparative biomarker discovery. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 28% |
| Student > Doctoral Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Professor | 3 | 8% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 9 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Immunology and Microbiology | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 10 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 December 2017.
All research outputs
#17,920,654
of 23,008,860 outputs
Outputs from BMC Veterinary Research
#1,690
of 3,065 outputs
Outputs of similar age
#305,737
of 438,185 outputs
Outputs of similar age from BMC Veterinary Research
#58
of 90 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,065 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 438,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.