ArticleEngineering microbiology2023
A highly selective cell-based fluorescent biosensor for genistein detection.
Article in Engineering microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.
- Engineering Saccharomyces cerevisiae for medical applications.Microbial cell factories · 2025Review
- Metabolic engineering: Tools and applications.Engineering microbiology · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genistein, an isoflavone found mainly in legumes, has been shown to have numerous health benefits for humans. Therefore, there is substantial interest in producing it using microbial cell factories. To aid in screening for high genistein producing microbial strains, a cell-based biosensor for genistein was developed by repurposing the Gal4DBD-ERα-VP16 (GEV) transcriptional activator in
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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.