ArticleOpen biology2025
Simple, streamlined, cost-effective cDNA synthesis method from cell cultures.
Article in Open 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.
- Signaling pathways of inflammation in CIA model of rheumatoid arthritis regulated by cannabichromene.Journal of cannabis research · 2026Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Applications like drug development need simple and streamlined methods to process samples from 96-well cell culture plates for gene expression measurements. Unfortunately, current options are expensive for such processing. Therefore, our aim was to develop a method that would allow streamlined analysis of mRNA from 96-well cell culture plates while being relatively cheap and simple. We developed a method based on the qPCR 'Cells-to-cDNA' approach and validated it against commercially available kits using the same approach or spin columns-based RNA purification. For this purpose, we conducted a series of comparisons of gene expression from peripheral blood mononuclear cells, SK-HEP-1 and U-87 cell cultures in 96-well plates. Our final method involved lysing cells with 25-100 µl solution of 0.5% SDS, 10 mM DTT, 1 mg ml
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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.