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Introducing Point Mutations into Human Pluripotent Stem Cells Using Seamless Genome Editing
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Single-Base Pair Genome Editing in Human Cells by Using Site-Specific Endonucleases.

Hiroshi Ochiai1

  • 1Research Center for the Mathematics on Chromatin Live Dynamics (RcMcD), Hiroshima University, Higashi-Hiroshima 739-8530, Japan. ochiai@hiroshima-u.ac.jp.

International Journal of Molecular Sciences
|September 26, 2015
PubMed
Summary

Single-nucleotide polymorphisms (SNPs) linked to diseases can now be experimentally validated using precise genome editing. This review covers the molecular basis, applications, and challenges of single-base pair editing in human cells for disease research.

Keywords:
CRISPRTALENgene therapygenome editingprogrammable nucleasessingle-base pair editingsingle-nucleotide polymorphismszinc-finger nuclease

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Area of Science:

  • Genetics
  • Molecular Biology
  • Genomic Medicine

Background:

  • Genome-wide association studies (GWAS) identify numerous single-nucleotide polymorphisms (SNPs) associated with human diseases.
  • Establishing causal links between identified SNPs and disease phenotypes remains challenging due to technical limitations, such as the lack of suitable cell models.

Purpose of the Study:

  • To review the molecular basis of single-base pair editing technology.
  • To highlight its application in experimentally validating SNP-disease causality.
  • To discuss current challenges and potential solutions for this technique.

Main Methods:

  • Introduction to programmable site-specific nucleases for precise genome editing.
  • Description of single-base pair editing techniques in human cells.
  • Review of experimental approaches to confirm SNP-disease relationships.

Main Results:

  • Efficient single-base pair editing is now achievable in human cells.
  • This technology enables direct experimental confirmation of SNP-disease causality.
  • Potential for significant clinical applications in understanding genetic disease.

Conclusions:

  • Single-base pair editing offers a powerful tool to overcome previous limitations in SNP functional validation.
  • The technique holds promise for advancing genetic disease research and clinical diagnostics.
  • Addressing current challenges will further enhance the utility and accessibility of genome editing for disease causality studies.