ArticleData in brief2024
Dataset for selection of stable reference genes for accurate quantitative gene expression analysis in silvertip tetra (
Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-time quantitative PCR (RT-qPCR) is a widely used method for accurate quantitative gene expression analysis. For accurate quantitative verification of RT-qPCR, it is essential to select a reference gene with high expression stability depending on the experimental environment or the different tissues. In this study, we evaluated the stability of nine candidate reference genes, labeled elongation factor 1-alpha (EF1A), ERBB receptor feedback inhibitor 1-like isoform x2 (ERRFI), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), integrin beta2 like (ITGB2), phosphatidylinositol-binding clathrin assembly protein-like isoform x3 (PICALM), 60 s ribosomal protein L5 (RPL5), 60 s ribosomal protein L7 (RPL7), tubulin beta chain (TUBB), and ubiquitin-conjugating enzyme E2A (UBE2A), in the brain (including pituitary gland) gonads and caudal fins of silvertip tetra (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.