4.5 Article

Development of a Quantitative PCR Assay for Detection of Human Insulin-Like Growth Factor Receptor and Insulin Receptor Isoforms

Journal

ENDOCRINOLOGY
Volume 157, Issue 4, Pages 1702-1708

Publisher

ENDOCRINE SOC
DOI: 10.1210/en.2015-1698

Keywords

-

Funding

  1. National Institutes of Health from the National Institute of Diabetes and Digestive and Kidney Diseases [R01DK060612]
  2. Eunice Kennedy Shriver National Institutes of Child Health and Human Development [K08HD071010]

Ask authors/readers for more resources

The biological activity of insulin and the insulin-like growth factor (IGF) ligands, IGF-I and IGF-II, is based in part on the relative abundance and distribution of their target receptors: the insulin receptor (IR) splice variants A (IR-A) and B (IR-B) and IGF 1 receptor (IGF-1R). However, the relative quantity of all three receptors in human tissues has never been measured together on the same scale. Due to the high homology between insulin receptor (IR)-A and IR-B proteins and lack of antibodies that discern the two IR splice variants, their mRNA sequence is the most reliable means of distinguishing between the receptors. Hence, highly specific primers for IR-A, IR-B, and IGF-1R mRNA were designed to accurately detect all three receptors by quantitative RT-PCR and enable direct quantification of relative receptor expression levels. Astandard concentration curve of cDNA from each receptor was performed. Assay specificity was tested using competition assays and postamplification analysis by gel electrophoresis and cloning. Forward and reverse primer concentrations were optimized to ensure equal efficiencies across primer pairs. This assay enables a specific molecular signature of IGF/insulin signaling receptors to be assayed in different tissues, cell types, or cancers.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available