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Selective measurement of α smooth muscle actin: why β-actin can not be used as a housekeeping gene when tissue fibrosis occurs

Overview of attention for article published in BMC Molecular Biology, April 2017
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Title
Selective measurement of α smooth muscle actin: why β-actin can not be used as a housekeeping gene when tissue fibrosis occurs
Published in
BMC Molecular Biology, April 2017
DOI 10.1186/s12867-017-0089-9
Pubmed ID
Authors

Apor Veres-Székely, Domonkos Pap, Erna Sziksz, Eszter Jávorszky, Réka Rokonay, Rita Lippai, Kálmán Tory, Andrea Fekete, Tivadar Tulassay, Attila J. Szabó, Ádám Vannay

Abstract

Prevalence of fibroproliferative diseases, including chronic kidney disease is rapidly increasing and has become a major public health problem worldwide. Fibroproliferative diseases are characterized by increased expression of α smooth muscle actin (α-SMA) that belongs to the family of the six conserved actin isoforms showing high degree homology. The aim of the present study was to develop real-time PCRs that clearly discriminate α-SMA and ß-actin from other actin isoforms. Real-time PCRs using self-designed mouse, human and rat specific α-SMA or ß-actin primer pairs resulted in the specific amplification of the artificial DNA templates corresponding to mouse, human or rat α-SMA or ß-actin, however ß-actin showed cross-reaction with the housekeeping γ-cyto-actin. We have shown that the use of improperly designed literary primer pairs significantly affects the results of PCRs measuring mRNA expression of α-SMA or ß-actin in the kidney of mice underwent UUO. We developed a set of carefully designed primer pairs and PCR conditions to selectively determine the expression of mouse, human or rat α-SMA and ß-actin isoforms. We demonstrated the importance of primer specificity in experiments where the results are normalized to the expression of ß-actin especially when fibrosis and thus increased expression of α-SMA is occur.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 %
Student > Ph. D. Student 7 19%
Student > Bachelor 7 19%
Student > Master 5 14%
Student > Doctoral Student 3 8%
Professor > Associate Professor 3 8%
Other 7 19%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Biochemistry, Genetics and Molecular Biology 7 19%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Agricultural and Biological Sciences 3 8%
Veterinary Science and Veterinary Medicine 2 6%
Other 7 19%
Unknown 6 17%
Attention Score in Context

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 28 April 2017.
All research outputs
#20,418,183
of 22,968,808 outputs
Outputs from BMC Molecular Biology
#274
of 314 outputs
Outputs of similar age
#269,443
of 309,813 outputs
Outputs of similar age from BMC Molecular Biology
#6
of 6 outputs
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So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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