RT Journal Article
SR Electronic
T1 Systematic bias assessment in solid tissue 10x scRNA-seq workflows
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 832444
DO 10.1101/832444
A1 Elena Denisenko
A1 Belinda B. Guo
A1 Matthew Jones
A1 Rui Hou
A1 Leanne de Kock
A1 Timo Lassmann
A1 Daniel Poppe
A1 Olivier Clement
A1 Rebecca K. Simmons
A1 Ryan Lister
A1 Alistair R. R. Forrest
YR 2019
UL http://biorxiv.org/content/early/2019/11/06/832444.abstract
AB Single-cell and single-nucleus RNA sequencing have been widely adopted in studies of heterogeneous tissues to estimate their cellular composition and obtain transcriptional profiles of individual cells. However, the current fragmentary understanding of artefacts introduced by sample preparation protocols impedes the selection of optimal workflows and compromises data interpretation. To bridge this gap, we compared performance of several workflows applied to adult mouse kidneys. Our study encompasses two tissue dissociation protocols, two cell preservation methods, bulk tissue RNA sequencing, single-cell and three single-nucleus RNA sequencing workflows for the 10x Genomics Chromium platform. These experiments enable a systematic comparison of recovered cell types and their transcriptional profiles across the workflows and highlight protocol-specific biases important for the experimental design and data interpretation.