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Dataset Information

Benchmarking full-length transcript single cell mRNA sequencing protocols.


ABSTRACT:

Background

Single cell mRNA sequencing technologies have transformed our understanding of cellular heterogeneity and identity. For sensitive discovery or clinical marker estimation where high transcript capture per cell is needed only plate-based techniques currently offer sufficient resolution.

Results

Here, we present a performance evaluation of four different plate-based scRNA-seq protocols. Our evaluation is aimed towards applications taxing high gene detection sensitivity, reproducibility between samples, and minimum hands-on time, as is required, for example, in clinical use. We included two commercial kits, NEBNext® Single Cell/ Low Input RNA Library Prep Kit (NEB®), SMART-seq® HT kit (Takara®), and the non-commercial protocols Genome & Transcriptome sequencing (G&T)

SUBMITTER: Probst V 

PROVIDER: S-EPMC9801581 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature