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Assessing and validating housekeeping genes in normal, cancerous, and polycystic human ovaries.

Authors :
Asiabi, P.
Ambroise, J.
Giachini, C.
Coccia, M. E.
Bearzatto, B.
Chiti, M. C.
Dolmans, M. M.
Amorim, C. A.
Source :
Journal of Assisted Reproduction & Genetics; Oct2020, Vol. 37 Issue 10, p2545-2553, 9p
Publication Year :
2020

Abstract

Purpose: Housekeeping genes (HKGs), reference or endogenous control genes, are vital to normalize mRNA levels between different samples. Since using inappropriate HKGs can lead to unreliable results, selecting the proper ones is critical for gene expression studies. To this end, normal human ovaries, as well as those from patients diagnosed with ovarian endometrioid adenocarcinoma (OEA), ovarian mucinous adenocarcinoma (OMA), ovarian serous papillary carcinoma (OSPC), and polycystic ovary syndrome (PCOS), were used to identify the most suitable housekeeping genes. Methods: RNA was isolated from 5 normal human ovaries (52–79 years of age), 9 cancerous ovaries (3 OEA, 3 OMA, 3 OSPC; 49–75 years of age), and 4 PCOS ovaries (18–35 years of age) in women undergoing hysterectomy. cDNA was synthesized using a whole transcriptome kit, and quantitative real-time PCR was performed using TaqMan array 96-well plates containing 32 human endogenous controls in triplicate. Results: Among 32 HKGs studied, RPS17, RPL37A, PPIA, 18srRNA, B2M, RPLP0, RPLP30, HPRT1, POP4, CDKN1B, and ELF1 were selected as the best reference genes. Conclusions: This study confirms recent investigations demonstrating that conventional HKGs, such as GAPDH and beta-actin, are not suitable reference genes for specific pathological conditions, emphasizing the importance of determining the best HKGs on a case-by-case basis and according to tissue type. Our results have identified reliable HKGs for studies of normal human ovaries and those affected by OEA, OMA, OSPC, or PCOS, as well as combined studies of control subjects vs. each cancer or PCOS group. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10580468
Volume :
37
Issue :
10
Database :
Complementary Index
Journal :
Journal of Assisted Reproduction & Genetics
Publication Type :
Academic Journal
Accession number :
146391408
Full Text :
https://doi.org/10.1007/s10815-020-01901-8