Reverting TP53 Mutation in Breast Cancer Cells: Prime Editing Workflow and Technical Considerations

Asmaa Y Abuhamad1, Nurul Nadia Mohamad Zamberi2, Ling Sheen2

  • 1Nanobiotechnology Research Group, Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, University Putra Malaysia, Serdang 43400, Selangor, Malaysia.

Cells
|May 28, 2022
PubMed

Insights

Prime editing precisely modified the TP53 gene in breast cancer cells, enabling better study of tumor suppressor gene mutations. Sensitive sequencing confirmed low-efficiency editing, guiding future improvements for gene editing workflows.

Area of Science:

  • Molecular Biology
  • Genetics
  • Cancer Research

Background:

  • Breast cancer is a leading cause of cancer-related deaths in women.
  • Aggressive subtypes are linked to TP53 tumor suppressor gene mutations, particularly missense mutations.
  • CRISPR-based gene editing, especially prime editing, offers precise tools for creating relevant experimental models.

Purpose of the Study:

  • To utilize prime editing to revert a TP53 missense mutation (L194F) in T47D breast cancer cells.
  • To introduce the L194F mutation into HEK293T cells using prime editing.
  • To assess and compare prime editing efficiency in different cell lines.

Main Methods:

  • Employed prime editing technology to modify the TP53 gene.
  • Used Sanger sequencing and amplicon target sequencing to assess editing efficiency.
  • Generated single cell-derived clones for detailed analysis.

Main Results:

  • Sanger sequencing failed to detect the intended TP53 base substitution in both cell lines.
  • Amplicon target sequencing identified the expected substitution, indicating low prime editing efficiency.
  • The study identified technical aspects and provided suggestions for improving prime editing workflows.

Conclusions:

  • Prime editing can be used to introduce specific TP53 mutations relevant to breast cancer.
  • Sensitive sequencing methods are crucial for detecting low-efficiency gene editing.
  • Further optimization of prime editing protocols is necessary for robust experimental model generation.