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Dataset Information

Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling.


ABSTRACT:

Background

Elucidation of immune populations with single-cell RNA-seq has greatly benefited the field of immunology by deepening the characterization of immune heterogeneity and leading to the discovery of new subtypes. However, single-cell methods inherently suffer from limitations in the recovery of complete transcriptomes due to the prevalence of cellular and transcriptional dropout events. This issue is often compounded by limited sample availability and limited prior knowledge of heterogeneity, which can confound data interpretation.

Results

Here, we systematically benchmarked seven high-throughput single-cell RNA-seq methods. We prepared 21 libraries under identical conditions of a defined mixture of two human and two murine lymphocyte cell lines, simulating heterogene

SUBMITTER: Yamawaki TM 

PROVIDER: S-EPMC7818754 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature