| Title |
Effect of master mixes on the measurement of telomere length by qPCR
|
|---|---|
| Published in |
Molecular Biology Reports, April 2018
|
| DOI | 10.1007/s11033-018-4175-y |
| Pubmed ID | |
| Authors |
Karen M. Jiménez, Diego A. Forero |
| Abstract |
Alterations in telomere length (TL) have been associated with several diseases and a method based on qPCR, the Monochrome Multiplex Real-Time Quantitative PCR (MMQPCR) technique, has been used extensively for the analysis of TL. Some previous studies have been found that certain methodological conditions can affect the measurement of TL. The aim of the study was to evaluate the performance of eight different commercially available SYBR Green and High-Resolution Melting (HRM) mixes on the measurement of TL by the MMQPCR method. Four SYBR Green and four HRM mixes were tested and the measurement of TL was expressed by the T/S ratio. It was found that the type of master mix used in MMQPCR influences the measurement of TL, affecting aspects such as the specificity and consistency of the results. Our results are the first description of the effects of different master mixes on TL analysis by MMQPCR and highlight the importance of the future methodological improvement of this broadly used technique. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 13 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Agricultural and Biological Sciences | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Immunology and Microbiology | 3 | 8% |
| Neuroscience | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 April 2020.
All research outputs
#7,305,403
of 23,041,514 outputs
Outputs from Molecular Biology Reports
#373
of 2,958 outputs
Outputs of similar age
#127,767
of 329,678 outputs
Outputs of similar age from Molecular Biology Reports
#1
of 12 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,958 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 86% of its peers.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.