Dataset Information

Identification and performance evaluation of housekeeping genes for microRNA expression normalization by reverse transcription-quantitative PCR using liquid-based cervical cytology samples.

ABSTRACT: Screening for cervical cancer by cytology has been effective in reducing the worldwide incidence and mortality rates of this disease. However, a number of studies have demonstrated that the sensitivity of conventional cervical cytology may be too low for detection of cervical intraepithelial neoplasias (CIN). Therefore, it is important to incorporate more sensitive molecular diagnostic tests that could substantially improve the detection rates and accuracy for identifying CIN lesions. MicroRNAs (miRNAs) are a class of small non-coding RNAs with the potential to provide robust non-invasive cancer biomarkers for detecting CIN lesions in liquid-based cervical cytology (LBC) samples. At present, there is no consensus on which are the best housekeeping genes for miRNA normalization in LBC. The present study aimed to identify housekeeping genes with consistent and reproducible performance for normalization of reverse transcription-quantitative PCR (RT-qPCR) expression analysis of miRNA using LBC samples. The present study firstly selected six potential candidate housekeeping genes based on a systematic literature evaluation. Subsequently, the expression levels of microRNAs U6, RNU-44, RNU-47, RNU-48, RNU-49 and hsa-miR-16 were measured in 40 LBC samples using RT-qPCR. The stability of each potential housekeeping gene was assessed using the NormFinder algorithm. The results revealed that U6 and RNU-49 were the most stable genes among all candidates requiring fewer amplification cycles and smaller variation across the sample set. However, RNU-44, RNU-47, RNU-48 and hsa-miR-16 stability exceeded the recommended housekeeping value suitable for normalization. The findings revealed that U6 may be a reliable housekeeping gene for normalization of miRNA RT-qPCR expression analysis using LBC samples.

SUBMITTER: Causin RL

PROVIDER: S-EPMC6781752 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Identification and performance evaluation of housekeeping genes for microRNA expression normalization by reverse transcription-quantitative PCR using liquid-based cervical cytology samples.

Causin Rhafaela Lima RL Pessôa-Pereira Danielle D Souza Karen Cristina Borba KCB Evangelista Adriane Feijó AF Reis Rui Manuel Vieira RMV Fregnani José Humberto Tavares Guerreiro JHTG Marques Márcia Maria Chiquitelli MMC

Oncology letters 20190906 5

Screening for cervical cancer by cytology has been effective in reducing the worldwide incidence and mortality rates of this disease. However, a number of studies have demonstrated that the sensitivity of conventional cervical cytology may be too low for detection of cervical intraepithelial neoplasias (CIN). Therefore, it is important to incorporate more sensitive molecular diagnostic tests that could substantially improve the detection rates and accuracy for identifying CIN lesions. MicroRNAs ...[more]

PMID: 31611985

Similar Datasets

Project description:PurposeTo evaluate the suitability of common housekeeping genes (HKGs) for use in quantitative reverse transcription PCR (qRT-PCR) assays of the cornea in various murine disease models.MethodsCORNEAL DISEASE MODELS STUDIED WERE: 1) corneal neovascularization (CorNV) induced by suture or chemical burn, 2) corneal infection with Candida albicans or Aspergillus fumigatus by intrastromal injection of live spores, and 3) perforating corneal injury (PCI) in Balb/c mice or C57BL/6 mice. Expression of 8 HKGs (glyceraldehyde-3-phosphate dehydrogenase [GAPDH], beta-actin [ACTB], lactate dehydrogenase A [LDHA], ribosomal protein L5 [RPL5], ubiquitin C [UBC], peptidylprolyl isomerase A [PPIA], TATA-box binding protein [TBP1], and hypoxanthine guanine phosphoribosyl transferase [HPRT1]) in the cornea were measured at various time points by microarray hybridization or qRT-PCR and the data analyzed using geNorm and NormFinder.ResultsMicroarray results showed that under the CorNV condition the expression stability of the 8 HKGs decreased in order of PPIA>RPL5>HPRT1>ACTB>UBC>TBP1>GAPDH>LDHA. qRT-PCR analyses demonstrated that expression of none of the 8 HKGs remained stable under all conditions, while GAPDH and ACTB were among the least stably expressed markers under most conditions. Both geNorm and NormFinder analyses proposed best HKGs or HKG combinations that differ between the various models. NormFinder proposed PPIA as best HKG for three CorNV models and PCI model, as well as UBC for two fungal keratitis models. geNorm analysis demonstrated that a similar model in different mice strains or caused by different stimuli may require different HKGs or HKG pairs for the best normalization. Namely, geNorm proposed PPIA and HRPT1 and PPIA and RPL5 pairs for chemical burn-induced CorNV in Balb/c and C57BL/6 mice, respectively, while UBC and HPRT1 and UBC and LDHA were best for Candida and Aspergillus induced keratitis in Balb/c mice, respectively.ConclusionsWhen qRT-PCR is designed for studies of gene expression in murine cornea, preselection of situation-specific reference genes is recommended. In the absence of knowledge about situation-specific HKGs, PPIA and UBC, either alone or in combination with HPRT1 or RPL5, can be employed.

Dataset Information

Identification and performance evaluation of housekeeping genes for microRNA expression normalization by reverse transcription-quantitative PCR using liquid-based cervical cytology samples.

Publications

Identification and performance evaluation of housekeeping genes for microRNA expression normalization by reverse transcription-quantitative PCR using liquid-based cervical cytology samples.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets