Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows.

ABSTRACT:

Background

Single-cell RNA sequencing has been widely adopted to estimate the cellular composition of heterogeneous tissues and obtain transcriptional profiles of individual cells. Multiple approaches for optimal sample dissociation and storage of single cells have been proposed as have single-nuclei profiling methods. What has been lacking is a systematic comparison of their relative biases and benefits.

Results

Here, we compare gene expression and cellular composition of single-cell suspensions prepared from adult mouse kidney using two tissue dissociation protocols. For each sample, we also compare fresh cells to cryopreserved and methanol-fixed cells. Lastly, we compare this single-cell data to that generated using three single-nucleus RNA sequencing workflows. Our data

SUBMITTER: Denisenko E 

PROVIDER: S-EPMC7265231 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature