ArticleGenes2020
Validation of the Reference Genes for the Gene Expression Studies in Chicken DT40 Cell Line.
Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Screening of reliable reference genes for the normalization of RT-qPCR in chicken liver tissues and LMH cells.Scientific reports · 2024Article
- Selection of reference genes for RT-qPCR analysis in developing chicken embryonic ovary.Molecular biology reports · 2023Article
- Comparative transcriptome analyses of immune responses to LPS in peripheral blood mononuclear cells from the giant panda, human, mouse, and monkey.Frontiers in genetics · 2022Article
- Genome-Wide Identification of Reference Genes for Reverse-Transcription Quantitative PCR in Goat Rumen.Animals : an open access journal from MDPI · 2021Article
- Screening of Reference Genes for RT-qPCR in Chicken Adipose Tissue and Adipocytes.Frontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The selection of a suitable reference gene assures a reliable gene expression analysis when using the qPCR method. Normalization of the reaction is based on the basic metabolism genes. These genes show a constant, unregulated expression in all cells and function throughout their lifetime. In the current study, seven reference gene candidates were screened using RT-qPCR, to determine the best-matched pair of reference genes in the chicken DT40 cell line. The DT40 was derived from bursal lymphoma cells that were subjected to RAV-1 bird retroviral infection. It is a simplified in vitro model that allows tracking the direct interaction of stimulants on the lymphoid population and profiling of the hepatocellular B cell transcriptome. The reference gene analysis was carried out using statistical tools integrating four independent methods-geNorm, Best Keeper, NormFinder, delta Ct and RefFinder. Based on the selected reference genes, the relative gene expression analysis was done using the ddCt method. Complete relative gene expression study on a panel of the target genes revealed that proper selection of reference genes depending on the tissue eliminate decreases in data quality. The
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Registered trials
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