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Published on: March 10, 2023
Allele-specific expression: applications in cancer and technical considerations.
Carla Daniela Robles-Espinoza1, Pejman Mohammadi2, Ximena Bonilla3
1Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Boulevard Juriquilla 3001, Santiago de Querétaro 76230, Mexico; Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.
Allele-specific gene expression, influenced by genetic variants, plays a key role in cancer susceptibility and progression. Accurate quantification methods are crucial for understanding this phenomenon in cancer research.
Area of Science:
- Genomics
- Cancer Biology
- Molecular Genetics
Background:
- Allele-specific gene expression (ASE) influences disease traits.
- Germline variants affecting regulatory elements contribute to cancer susceptibility via ASE.
- Somatic alterations in tumors also drive ASE in cancer-related genes.
Purpose of the Study:
- To review recent findings on the role of ASE in cancer susceptibility and progression.
- To highlight the importance of robust methodologies for ASE quantification.
- To discuss challenges in cancer and single-cell transcriptomics studies.
Main Methods:
- Review of recent scientific literature on allele-specific gene expression in cancer.
- Discussion of experimental design and computational analysis for accurate quantification.
- Exploration of methodological challenges in cancer and single-cell transcriptomics.
Main Results:
- ASE is a pervasive phenomenon in both cancer susceptibility and tumor progression.
- Accurate quantification of ASE requires careful experimental and computational approaches.
- Methodological challenges exist, particularly in cancer studies and single-cell transcriptomics.
Conclusions:
- Allele-specific gene expression is a significant factor in cancer development and progression.
- Standardized and validated methods are essential for reliable ASE analysis.
- Addressing methodological hurdles is key for advancing research in cancer genomics and single-cell analysis.
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