ReviewaBIOTECH2020
Efficient expression of multiple guide RNAs for CRISPR/Cas genome editing.
Review in aBIOTECH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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
16 citing papers in PubMed, 33 citations in OpenAlex.
- Large serine recombinase-mediated gene insertion for high-throughput screens: advantages, design principles, and applications.Nucleic acids research · 2026Review
- CRISPR-Cas systems for enhancing chilling tolerance in rice: recent advances and future prospects.Biologia futura · 2026Review
- Programmable genome engineering and gene modifications for plant biodesign.Plant communications · 2025Review
- Beyond Cutting: CRISPR-Driven Synthetic Biology Toolkit for Next-Generation Microalgal Metabolic Engineering.International journal of molecular sciences · 2025Review
- Transferable approaches to CRISPR-Cas9 induced genome editing in non-model insects: a brief guide.Frontiers in zoology · 2025Review
- Construction and phenotypic analysis ofZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- The CRISPR/Cas9-Mediated Knockout ofVeterinary sciences · 2025Article
- CRISPR-Cas9 based molecular breeding in crop plants: a review.Molecular biology reports · 2024Review
- Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants.Plant communications · 2023Review
- Efficient and versatile multiplex prime editing in hexaploid wheat.Genome biology · 2023Article
- CRISPR/Cas9 in Planta Hairy Root Transformation: A Powerful Platform for Functional Analysis of Root Traits in Soybean.Plants (Basel, Switzerland) · 2022Review
- Establishment of an Efficient Genome Editing System in Lettuce Without Sacrificing Specificity.Frontiers in plant science · 2022Article
- The Functional Association ofInternational journal of molecular sciences · 2021Article
- New insights into the construction of wild-type Saba pig-derived3 Biotech · 2021Article
- Multiplexed Genome EditingFrontiers in plant science · 2021Article
- Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein system (CRISPR/Cas) has recently become the most powerful tool available for genome engineering in various organisms. With efficient and proper expression of multiple guide RNAs (gRNAs), the CRISPR/Cas system is particularly suitable for multiplex genome editing. During the past several years, different CRISPR/Cas expression strategies, such as two-component transcriptional unit, single transcriptional unit, and bidirectional promoter systems, have been developed to efficiently express gRNAs as well as Cas nucleases. Significant progress has been made to optimize gRNA production using different types of promoters and RNA processing strategies such as ribozymes, endogenous RNases, and exogenous endoribonuclease (Csy4). Besides being constitutively and ubiquitously expressed, inducible and spatiotemporal regulations of gRNA expression have been demonstrated using inducible, tissue-specific, and/or synthetic promoters for specific research purposes. Most recently, the emergence of CRISPR/Cas ribonucleoprotein delivery methods, such as engineered nanoparticles, further revolutionized transgene-free and multiplex genome editing. In this review, we discuss current strategies and future perspectives for efficient expression and engineering of gRNAs with a goal to facilitate CRISPR/Cas-based multiplex genome editing.
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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.