ArticleMolecular biology reports2019
Reference gene selection for real-time quantitative PCR normalization in Hemarthria compressa and Hemarthria altissima leaf tissue.
Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed, 12 citations in OpenAlex.
- Morphological and molecular response mechanisms of the root system of differentFrontiers in plant science · 2024Article
- Selection and Validation of Optimal RT-qPCR Reference Genes for the Normalization of Gene Expression under Different Experimental Conditions inPlants (Basel, Switzerland) · 2023Article
- Article
- Selection and Validation of Reference Genes for Pan-Cancer in Platelets Based on RNA-Sequence Data.Frontiers in genetics · 2022Article
- Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR inInternational journal of molecular sciences · 2021Article
- Research on the drought tolerance mechanism of Pennisetum glaucum (L.) in the root during the seedling stage.BMC genomics · 2021Article
- Comprehensive evaluation of candidate reference genes for quantitative real-time PCR-based analysis in Caucasian clover.Scientific reports · 2021Article
- Analysis of reference genes stability and histidine kinase expression under cold stress in Cordyceps militaris.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Hemarthria compressa and Hemarthria altissima are widely used as livestock forage and play important roles in tropical and subtropical grassland agricultural systems promoting healthy ecological environment and the development of animal husbandry. Leaf tissue of "Yaan" limpograss (H. compressa) and "H255" whip grass (H. altissima) were used to test the mRNA expression levels of 12 reference genes using RT-qPCR. The Delta-Ct method, BestKeeper (ver. 1.0), Genorm (ver. 3.5), Normfinder (ver. 0.953) and RefFinder were used to analyze the expression stability of the 12 reference genes under drought, salt, acid-aluminum and cold stresses to provide significant technical support for the study of gene expression under various abiotic stresses in Hemarthria. The results showed that the candidate reference genes showed divergent expression levels under various abiotic stresses. Among the genes that were selected, CL18892 showed the highest expression stability under salt stress in the leaf tissue. eEF-1α was the most stable gene under cold and acid-aluminum stresses and CL16384 was comparatively the most suitable genes under drought stress. As a whole, according to RefFinder analysis, CYP5, BMK.74327 and CL21527 were the most suitable reference genes for studying the effects of abiotic stress in Hemarthria. In general, CL16812 and CL18038 were not suitable reference genes under abiotic stress conditions that were examined in this study.
Indexed as
Identifiers
What OpenQuestion holds
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.