ArticleBiosensors2022
A Gene Circuit Combining the Endogenous I-E Type CRISPR-Cas System and a Light Sensor to Produce Poly-β-Hydroxybutyric Acid Efficiently.
Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Toward engineered microbial chassis for growth-production balancing.Synthetic and systems biotechnology · 2027Review
- Cross-Strain Transferability of CRISPRi Systems and Design Rules from Laboratory to ClinicalACS synthetic biology · 2026Article
- Cross-strain transferability of CRISPRi systems and design rules from laboratory to clinicalbioRxiv : the preprint server for biology · 2026Article
- Application of CRISPR Cas Systems for Biosensing.Biosensors · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
'Metabolic burden,' which arises when introducing exogenic synthesizing pathways into a host strain, remains a challenging issue in metabolic engineering. Redirecting metabolic flux from cell growth to product synthesis at an appropriate culture timepoint is ideal for resolving this issue. In this report, we introduce optogenetics-which is capable of precise temporal and spatial control-as a genetic switch, accompanied by the endogenous type I-E CRISPRi system 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.