ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2025
Evaluation and identification of reference genes for qRT-PCR analysis in bermudagrass roots under alkaline salt stress.
Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Selection and Validation of qRT-PCR Reference Genes inCurrent issues in molecular biology · 2026Article
- Improvement of enfumafungin production by Hormonema carpetanum via mutagenesis and process optimization: mutant generation and preliminary transcriptomic analysis.World journal of microbiology & biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative real-time PCR (qRT-PCR) is a potent technique for gene expression analysis, but its accuracy relies heavily on the selection of stable reference genes. In bermudagrass ( Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-025-01603-4.
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Registered trials
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 OpenQuestion graph.