Related Experiment Video
Updated: May 20, 2026

Microfluidic Co-culture of Renal Healthy and Tumor Epithelium to Model Kidney Cancer Progression
Published on: January 31, 2025
Impact of thawing on reference gene expression stability in renal cell carcinoma samples
Yi Ma1, HuiLi Dai, XianMing Kong
1Department of Biobank, Renji Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Abstract:
More and more samples are obtained from biobanks for biomedical research; however, some of these samples may undergo thawing before processing. We aim to evaluate the reference gene expression stability in thawed renal cell carcinoma samples. Sixteen matched malignant and nonmalignant renal tissue samples were obtained and each sample was divided into 4 aliquots before being snap frozen and stored at -80°C. By quantitative real-time polymerase chain reaction, a time-course study was conducted on the thawed tissue to evaluate the expression stability of a panel of the 10 most frequently used reference genes in renal cell carcinom samples: ACTB, ALAS1, B2M, GAPDH, HMBS, HPRT, PPIA, RPLP0,TBP, and TUBB. As shown by geNorm M values, PPIA was the most stable gene at the 0-, 15-, and 30-minute time points (M=0.82, 0.85, and 0.76, respectively), whereas GAPDH was ranked last at the 5-, 15-, and 30-minute time points (M=1.38, 1.44, and 1.39, respectively). A positive correlation was found by linear regression between the thawing time and 2 to the power of crossing point values of all candidate reference genes (P<0.05). The mean coefficient of variance of all reference genes increased significantly at time points 5, 15, and 30 minutes compared with 0 minutes (P<0.01). In conclusion, using the geNorm algorithm, PPIA was identified as the most stably expressed gene between malignant and nonmalignant renal tissue samples that were thawed for similar time periods. All the reference genes showed high variations along with the thawing time; it should be recommended to use a combination of several candidate reference genes when comparing samples thawed for different time periods.
More Related Videos
12:22The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
06:48Quantitative Real-Time Polymerase Chain Reaction Evaluation of MicroRNA Expression in Kidney and Serum of Mice with Age-Dependent Renal Impairment
Published on: April 29, 2022