Eukaryotic Single-Cell mRNA Sequencing

作者: Kenneth J. Livak

DOI: 10.1007/978-3-319-31350-4_14

关键词:

摘要: Single-cell DNA sequencing is a rapidly developing field that holds great potential for revolutionizing our understanding of how cellular heterogeneity contributes to the initiation and progression disease. Methods in single-cell genomics have already emerged as transformative techniques enabling characterization heterogeneous cell populations cancer, neurobiology, immunology, normal development with unprecedented detail. The ability isolate individual cells followed by amplification genomic high-throughput enables identification co-occurring somatic mutations, an outcome not obtainable conventional analysis isolated from many cells. As result, phylogenetic relationships can be accurately discerned order reveal evolutionary history new mutations are acquired distinct phenotypes arise. In this chapter, we describe current methods sequencing. We summarize typical approaches genome-scale amplified analytical processing such datasets. Statistical distinguishing technical artifacts generated during DNA, determining clonality populations, discerning between clones also described.

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