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Technologies such as fluorescence-activated cell sorting (FACS) allow the precise isolation of selected single cells from complex samples, while high-throughput single-cell partitioning technologies [7] [8] [9] enable the simultaneous molecular analysis of hundreds or thousands of individual unsorted cells; this is particularly useful for the ...
Single-cell sequencing examines the nucleic acid sequence information from individual cells with optimized next-generation sequencing technologies, providing a higher resolution of cellular differences and a better understanding of the function of an individual cell in the context of its microenvironment. [1]
Single cell ATAC-seq has been performed since 2015, using methods ranging from FACS sorting, microfluidic isolation of single cells, to combinatorial indexing. [8] In initial studies, the method was able to reliably separate cells based on their cell types, uncover sources of cell-to-cell variability, and show a link between chromatin ...
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After successfully transduced cells have been selected for, isolation of single cells is needed to conduct scRNA-seq. Perturb-seq and CROP-seq have been performed using droplet-based technology for single cell isolation, [1] [2] [3] while the closely related CRISP-seq was performed with a microwell-based approach. [4]
Cell isolation is the process of separating individual living cells from a solid block of tissue or cell suspension. While some types of cell naturally exist in a separated form (for example blood cells ), other cell types that are found in solid tissue require specific techniques to separate them into individual cells.
Single-cell RNA sequencing (scRNA-Seq) provides the expression profiles of individual cells. Although it is not possible to obtain complete information on every RNA expressed by each cell, due to the small amount of material available, patterns of gene expression can be identified through gene clustering analyses .
A further consideration when sequencing large, branched cell types, such as neurons, comes from the removal of distal processes containing local pools of RNA during the single-cell isolation process. In these cells, scRNA-seq datasets only capture transcript in the central cell body, omitting transcripts from RNA pools localized to cellular ...