ArticleCurrent opinion in biomedical engineering2023
Protein Engineering Technologies for Development of Next-Generation Genome Editors.
Article in Current opinion in biomedical engineering, 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.
- Embedded CRISPRi Enhances Gene-Silencing Efficiency in Drosophila.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Harnessing artificial intelligence to advance CRISPR-based genome editing technologies.Nature reviews. Genetics · 2026Review
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
Base editors and prime editors have emerged as promising tools for the modeling and treatment of genetic diseases due to their ability to introduce targeted modifications in the genomic DNA of living cells. Several engineering approaches have been applied to improve their performance, ranging from simple protein design approaches to complex directed evolution schemes that can probe a vast landscape of mutational variants with minimal user intervention. These extensive efforts have led to new generations of editors with enhanced properties such as increased editing activity, tailored editing windows, increased targetability, smaller construct size for viral delivery, and decreased off-target effects. In this manuscript we review protein engineering technologies that have been recently utilized to create an ever-evolving landscape of high-performance gene editing tools specifically designed for genetic targets of interest and that have redefined what is possible in the field of precision medicine.
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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.