What Challenges are Associated with scRNA-seq in Cancer Research?
Despite its transformative potential, scRNA-seq comes with several challenges:
Technical Complexity: The process involves multiple steps, including cell isolation, RNA capture, and sequencing, each of which requires careful optimization. Data Analysis: The vast amount of data generated by scRNA-seq necessitates advanced computational tools and expertise in bioinformatics. Cost: High costs associated with scRNA-seq can be a limiting factor for many research laboratories. Cell Viability: Ensuring that cells remain viable throughout the isolation and processing stages is crucial for accurate results.
