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Related Concept Videos

CRISPR/Cas9 Genome Editing01:28

CRISPR/Cas9 Genome Editing

375
The CRISPR-Cas system serves as a bacterial defense mechanism against invading genetic elements such as viruses and plasmids, forming the foundation for its adaptation as a powerful genome-editing tool. Originally discovered in prokaryotes, this system has been repurposed to revolutionize genetic engineering across a wide range of organisms, including plants, animals, and humans. The core component, Cas9, is an endonuclease derived from Streptococcus pyogenes, capable of introducing...
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CRISPR01:59

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Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
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CRISPR and crRNAs02:53

CRISPR and crRNAs

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Bacteria and archaea are susceptible to viral infections just like eukaryotes; therefore, they have developed a unique adaptive immune system to protect themselves. Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) are present in more than 45% of known bacteria and 90% of known archaea.
The CRISPR-Cas system stores a copy of foreign DNA in the host genome and uses it to identify the foreign DNA upon reinfection. CRISPR-Cas has three different...
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What is Genetic Engineering?00:49

What is Genetic Engineering?

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Overview
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Homologous Recombination02:31

Homologous Recombination

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The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
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Related Experiment Video

Updated: Sep 18, 2025

Enhanced Genome Editing with Cas9 Ribonucleoprotein in Diverse Cells and Organisms
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Enhanced Genome Editing with Cas9 Ribonucleoprotein in Diverse Cells and Organisms

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Artificial Intelligence-Based Genome Editing in CRISPR/Cas9.

Shivangi Pandey1, Jyoti Kant Choudhari2, Abhishek Tripathi3

  • 1Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.

Methods in Molecular Biology (Clifton, N.J.)
|June 24, 2025
PubMed
Summary

Artificial intelligence (AI) enhances genome editing techniques like CRISPR/Cas9 by improving guide RNA design and predicting outcomes. This integration advances precision medicine and disease biomarker discovery, though challenges in cost and delivery remain.

Keywords:
Artificial intelligenceBiomedicineCRISPR/Cas9Genome editingHealthcareHuman health

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Area of Science:

  • Genomics
  • Bioinformatics
  • Biotechnology

Background:

  • Genome editing technologies, particularly CRISPR/Cas9, offer precise DNA modification capabilities.
  • Artificial intelligence (AI) is increasingly vital for predicting and optimizing these complex biological processes.

Purpose of the Study:

  • To explore the role of AI in enhancing genome editing methods, including guide RNA design and precision medicine applications.
  • To highlight the potential of AI-integrated genome editing for disease biomarker identification and personalized treatments.

Main Methods:

  • Utilizing AI models (e.g., DeepCRISPR, CRISTA, DeepHF) for guide RNA design in CRISPR-Cas systems.
  • Assessing genomic context, mutation types, and on-target/off-target scores using AI.
  • Integrating AI with genome editing for base, prime, and epigenome editing.

Main Results:

  • AI models improve the design of guide RNAs (gRNAs), enhancing the precision of CRISPR-Cas systems.
  • AI facilitates personalized medicine by analyzing genomic data for disease-linked mutations and biomarkers.
  • AI integration shows potential for increased efficiency and cost-effectiveness in genetic modification.

Conclusions:

  • AI significantly advances genome editing precision and application scope, paving the way for personalized treatments.
  • Further research is needed to address challenges such as cost, delivery methods, and clinical safety of AI-driven genome editing.