ArticleSynthetic and systems biotechnology2023
Highly efficient multiplex base editing: One-shot deactivation of eight genes in
Article in Synthetic and systems biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Base Editors for Engineering Industrial Microorganisms: Types, Applications, and Future Perspectives.Biotechnology journal · 2026Review
- Functional characterization of a type I-F1 CRISPR-cas system from the clinical isolate Shewanella xiamenensis Sh95 reveals constitutive activity and plasmid-curing capability.Scientific reports · 2026Article
- Influence of Different Transposon Families on Genomic Stability of Shewanella oneidensis MR1.Microbial biotechnology · 2025Article
- Shewanella oneidensis: Biotechnological Application of Metal-Reducing Bacteria.Advances in biochemical engineering/biotechnology · 2025Review
- Applications and Prospects of CRISPR/Cas9-Mediated Base Editing in Plant Breeding.Current issues in molecular biology · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obtaining electroactive microbes capable of efficient extracellular electron transfer is a large undertaking for the scalability of bio-electrochemical systems. Inevitably, researchers need to pursue the co-modification of multiple genes rather than expecting that modification of a single gene would make a significant contribution to improving extracellular electron transfer rates. Base editing has enabled highly-efficient gene deactivation in model electroactive microbe
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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.