↓ Skip to main content

Selection of reference genes for quantitative RT-PCR studies in striped dolphin (Stenella coeruleoalba) skin biopsies

Overview of attention for article published in BMC Molecular and Cell Biology, September 2006
Altmetric Badge

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
114 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Selection of reference genes for quantitative RT-PCR studies in striped dolphin (Stenella coeruleoalba) skin biopsies
Published in
BMC Molecular and Cell Biology, September 2006
DOI 10.1186/1471-2199-7-32
Pubmed ID
Authors

Giacomo Spinsanti, Cristina Panti, Elisa Lazzeri, Letizia Marsili, Silvia Casini, Francesco Frati, Cristina Maria Fossi

Abstract

Odontocete cetaceans occupy the top position of the marine food-web and are particularly sensitive to the bioaccumulation of lipophilic contaminants. The effects of environmental pollution on these species are highly debated and various ecotoxicological studies have addressed the impact of xenobiotic compounds on marine mammals, raising conservational concerns. Despite its sensitivity, quantitative real-time PCR (qRT-PCR) has never been used to quantify gene induction caused by exposure of cetaceans to contaminants. A limitation for the application of qRT-PCR is the need for appropriate reference genes which allow the correct quantification of gene expression. A systematic evaluation of potential reference genes in cetacean skin biopsies is presented, in order to validate future qRT-PCR studies aiming at using the expression of selected genes as non-lethal biomarkers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Italy 1 <1%
Canada 1 <1%
Sweden 1 <1%
Spain 1 <1%
Slovenia 1 <1%
Unknown 106 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 20%
Researcher 23 20%
Student > Master 16 14%
Student > Bachelor 9 8%
Student > Postgraduate 8 7%
Other 23 20%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 60%
Biochemistry, Genetics and Molecular Biology 9 8%
Environmental Science 8 7%
Veterinary Science and Veterinary Medicine 6 5%
Medicine and Dentistry 2 2%
Other 7 6%
Unknown 14 12%