ArticleMethods in molecular biology (Clifton, N.J.)2023
Gene Expression Quantification from Pathogenic Bacterial Biofilms by Quantitative PCR.
Article in Methods in molecular biology (Clifton, N.J.), 2023. 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
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
2 citing papers in PubMed.
- Selection and validation of reference genes for quantitative real-time PCR during the developmental stages of seeds inFrontiers in plant science · 2025Article
- Ecology ofBiofilm · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative PCR (qPCR) is one of the most used techniques to quantify gene expression in bacterial biofilms due to its easiness, sensitivity, and robustness. However, several practical aspects need to be considered to obtain accurate and reliable results. Here, we describe a detailed and optimized protocol to quantify mRNA transcripts from bacterial biofilms using qPCR, including pieces of advice to improve RNA quality, which ultimately increases the accuracy, consistency, and relevance of gene expression data.
Indexed as
Identifiers
37608108What 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.