Sample interview questions: Can you discuss any experience you have with analyzing single-cell DNA methylation data and its applications in understanding epigenetic heterogeneity?
Sample answer:
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Experience with Single-Cell DNA Methylation Data Analysis:
- Performed single-cell DNA methylation analysis on various cell types, including stem cells, immune cells, and cancer cells, using both experimental and computational techniques.
- Utilized advanced bioinformatics tools and methods, such as scRNA-seq, scATAC-seq, and single-cell bisulfite sequencing (scBS-seq), to generate and analyze single-cell DNA methylation profiles.
- Developed and applied computational pipelines for the integration and analysis of multi-omics data, including DNA methylation, gene expression, and chromatin accessibility data, to gain a comprehensive understanding of epigenetic heterogeneity.
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Applications of Single-Cell DNA Methylation Data in Understanding Epigenetic Heterogeneity:
- Identified cell-to-cell variation in DNA methylation patterns within cell populations, revealing the existence of distinct epigenetic subpopulations with different gene expression profiles and cellular functions.
- Investigated the role of DNA methylation in cell fate decisions, differentiation, and lineage commitment by analyzing changes in DNA methylation patterns during cellular transitions.
- Studied the epigenetic basis of cellular heterogeneity in disease, including cancer and immune disorders, by comparing DNA methylation profiles of healthy and diseased cells.
- Developed computational metho… Read full answer
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