ReviewMolecular biology reports2023
The current situations and limitations of genetic engineering in cyanobacteria: a mini review.
Review in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Genetic engineering of cyanophages for harmful cyanobacterial bloom treatment-A mini review.Synthetic and systems biotechnology · 2027Review
- Genetic engineering to improve resistance against heavy metal stress inApplied and environmental microbiology · 2026Article
- BPP Bioportide™-mediated (genetic) transformation in cyanobacteria: a rapid and simplified approach for efficient molecular translocation and genome modification.Frontiers in plant science · 2026Article
- Growth of phylogenetically diverse microalgae under Far-Red light enriched spectra: implication for space missions' sustainability.Frontiers in microbiology · 2026Article
- Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach.Biotechnology for biofuels and bioproducts · 2025Article
- Perspectives of cyanobacterial cell factories.Photosynthesis research · 2024Review
- Biocompatibility ofInternational journal of molecular sciences · 2024Article
- Cyanobacteria-Mediated Light-Driven Biotransformation: The Current Status and Perspectives.ACS omega · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cyanobacteria are an ancient group of photoautotrophic prokaryotes, and play an essential role in the global carbon cycle. They are also model organisms for studying photosynthesis and circadian regulation, and metabolic engineering and synthetic biology strategies grants light-driven biotechnological applications to cyanobacteria, especially for engineering cyanobacteria cells to achieve an efficient light-driven system for synthesizing any product of interest from renewable feedstocks. However, lower yield limits the potential of industrial application of cyanobacterial synthetic biology, and some key limitations must be overcome to realize the full biotechnological potential of these versatile microorganisms. Although genetic engineering toolkits for cyanobacteria have made some progress, the tools available still lag behind conventional heterotrophic microorganism. Consequently, this study describes the current situations and limitations of genetic engineering in cyanobacteria, and further improvements are proposed to improve the output of targeted products. We believe that cyanobacteria-mediated light-driven platforms towards efficient synthesis of green chemicals could unlock a bright future by developing the tools for strain manipulation and novel chassis organisms with excellent performance for biotechnological applications, which could also accelerate the advancement of bio-manufacturing industries.
Indexed as
Identifiers
37119415What 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.