ArticleiScience2022
Optimization of RNA extraction for bacterial whole transcriptome studies of low-biomass samples.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
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Who cites it
6 citing papers in PubMed.
- Cell Disruption and RNA Extraction fromInternational journal of molecular sciences · 2026Article
- Artificial intelligence and systems biology analysis in stem cell research and therapeutics development.Stem cells translational medicine · 2025Review
- Biofilm-mediated resistance to berberine inFrontiers in cellular and infection microbiology · 2025Article
- Effective RNA isolation method for gram-positive and acid-fast bacteria: metamorphosed from conventional RNA isolation techniques.Archives of microbiology · 2024Article
- Whole transcriptome analysis highlights nutrient limitation of nitrogen cycle bacteria in simulated microgravity.NPJ microgravity · 2024Article
- Time-Course Transcriptome Analysis ofMicroorganisms · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed a procedure for extracting maximal amounts of high-quality RNA from low-biomass producing (autotrophic) bacteria for experiments where sample volume is limited. Large amounts of high-quality RNA for downstream analyses cannot be obtained using larger quantities of culture volume. The performance of standard commercial silica-column based kit protocols and these procedures amended by ultrasonication or enzymatic lysis were assessed. The ammonium-oxidizing
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Registered trials
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