A bioinformatics workflow for the evaluation of RT-qPCR primer specificity: Application for the assessment of gene expression data reliability in toxicological studies
Autor: | Philip S. Shwed, Guillaume Pelletier, Bhaja K. Padhi |
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Rok vydání: | 2019 |
Předmět: |
Pseudogene
In silico Genome browser 010501 environmental sciences Biology Toxicology Bioinformatics Real-Time Polymerase Chain Reaction 030226 pharmacology & pharmacy 01 natural sciences 03 medical and health sciences 0302 clinical medicine Databases Genetic Ensembl Animals 0105 earth and related environmental sciences Gene Expression Profiling Computational Biology General Medicine DNA Amplicon Rats genomic DNA RNA Primer (molecular biology) In silico PCR |
Zdroj: | Regulatory toxicology and pharmacology : RTP. 111 |
ISSN: | 1096-0295 |
Popis: | The reliability of Reverse Transcription quantitative real-time PCR (RT-qPCR) gene expression data depends on proper primer design and RNA quality controls. Despite freely available genomic databases and bioinformatics tools, primer design deficiencies can be found across life science publications. In order to assess the prevalence of such deficiencies in the toxicological literature, 504 primer sets extracted from a random selection of 70 recent rat toxicological studies were evaluated. The specificity of each primer set was systematically analysed using a bioinformatics workflow developed from publicly available resources (NCBI Primer BLAST, in silico PCR in UCSC genome browser, Ensembl DNA database). Potential mismatches (9%), cross-matches (13.5%), co-amplification of multiple gene splice variants (9%) and sub-optimal amplicon sizes (25%) were identified for a significant proportion of the primer sets assessed in silico. Quality controls for gDNA contamination of RNA samples were infrequently reported in the surveyed manuscripts. Hence, the impacts of gDNA contamination on RT-qPCR data were further investigated, revealing that lowly expressed genes presented higher susceptibility to contaminating gDNA. In addition to the retrospective identification of potential primer design issues presented in this study, the described bioinformatics workflow can also be used prospectively to select candidate primer sets for experimental validation. |
Databáze: | OpenAIRE |
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