Literature DB >> 35778437

Amelioration for an ignored pitfall in reference gene selection by considering the mean expression and standard deviation of target genes.

Ghazal Esfandiarpour1, Mohammad Mokhtari2, Seyed-Morteza Javadirad3, Mohsen Kolahdouzan4, Ahmed Almuslimawi1.   

Abstract

Routine tissue-specific reference genes are often used in expression studies, but target genes are not taken into account. Using the relative RT-qPCR approach, we evaluated the expression of three target genes. At the same time, meta-analyses were conducted in various ethnic groups, genders, and thyroid cancer subtypes. When eight common reference genes were examined, it was discovered that some of them not only lacked consistent expression but also had considerable expression variance. It is worth noting that while choosing a reference gene, the mean gene expression and its standard deviation should be carefully addressed. An equation was developed based on this, and it was used to perform statistical analysis on over 25,000 genes. According to the subtype of thyroid cancer and, of course, the target genes in this investigation, appropriate reference genes were proposed. The intuitive choice of GAPDH as a common reference gene caused a major shift in the quantitative expression data of target genes, inverting the relative expression values. As a result, choosing the appropriate reference gene(s) for quantification of transcription data, and especially for relative studies of the expression of target gene(s), is critical and should be carefully considered during the study design.
© 2022. The Author(s).

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Year:  2022        PMID: 35778437      PMCID: PMC9249883          DOI: 10.1038/s41598-022-15277-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  32 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

Review 2.  Real-time PCR in clinical microbiology: applications for routine laboratory testing.

Authors:  M J Espy; J R Uhl; L M Sloan; S P Buckwalter; M F Jones; E A Vetter; J D C Yao; N L Wengenack; J E Rosenblatt; F R Cockerill; T F Smith
Journal:  Clin Microbiol Rev       Date:  2006-01       Impact factor: 26.132

Review 3.  Reference genes in real-time PCR.

Authors:  Bartłomiej Kozera; Marcin Rapacz
Journal:  J Appl Genet       Date:  2013-11       Impact factor: 3.240

4.  Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets.

Authors:  Claus Lindbjerg Andersen; Jens Ledet Jensen; Torben Falck Ørntoft
Journal:  Cancer Res       Date:  2004-08-01       Impact factor: 12.701

5.  Human housekeeping genes, revisited.

Authors:  Eli Eisenberg; Erez Y Levanon
Journal:  Trends Genet       Date:  2013-06-27       Impact factor: 11.639

6.  The pseudogene problem and RT-qPCR data normalization; SYMPK: a suitable reference gene for papillary thyroid carcinoma.

Authors:  Seyed-Morteza Javadirad; Mohammad Mokhtari; Ghazal Esfandiarpour; Mohsen Kolahdouzan
Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.379

7.  Selection of Reference Genes for RT-qPCR Analysis in the Monarch Butterfly, Danaus plexippus (L.), a Migrating Bio-Indicator.

Authors:  Huipeng Pan; Xiaowei Yang; Keith Bidne; Richard L Hellmich; Blair D Siegfried; Xuguo Zhou
Journal:  PLoS One       Date:  2015-06-01       Impact factor: 3.240

Review 8.  Careful selection of reference genes is required for reliable performance of RT-qPCR in human normal and cancer cell lines.

Authors:  Francis Jacob; Rea Guertler; Stephanie Naim; Sheri Nixdorf; André Fedier; Neville F Hacker; Viola Heinzelmann-Schwarz
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

9.  Overexpression of Ribosomal RNA in the Development of Human Cervical Cancer Is Associated with rDNA Promoter Hypomethylation.

Authors:  Hong Zhou; Yapei Wang; Qiongying Lv; Juan Zhang; Qing Wang; Fei Gao; Haoli Hou; Hao Zhang; Wei Zhang; Lijia Li
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

10.  Ribosomal DNA copy number amplification and loss in human cancers is linked to tumor genetic context, nucleolus activity, and proliferation.

Authors:  Meng Wang; Bernardo Lemos
Journal:  PLoS Genet       Date:  2017-09-07       Impact factor: 5.917

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