Cellular heterogeneity plays a critical role in systems and pathologies, but many genomic analysis techniques derive their findings from multicellular samples, potentially burying key information from individual cells or rare subsets. Next-generation sequencing-based single-cell whole transcriptome amplification analysis techniques can overcome this limitation, but they are not always cost-effective and parsing the large amounts of data obtained to access the relevant portions can take significant amounts of time.
The solution to these challenges lies in utilizing a focused “targeted” analysis strategy. Targeted analysis prioritizes select genomic regions associated with a scientist’s research aims, providing the most relevant datasets that are also manageable to work with. Targeted sequencing detects and provides understanding of cell-to-cell differences, which is essential to not only identifying key mechanisms of pathogenesis, but developing therapeutic strategies with an eye towards personalized medicine.
Download this eBook from The Scientist to learn about: • The advantages of targeted single-cell ...
