Fig. 1.
From: Comparative analysis of antibody- and lipid-based multiplexing methods for single-cell RNA-seq
Classification accuracy on human cells and nuclei with an overview of the experimental setup. A Overall classification accuracy (OCA) for all tested conditions and demultiplexed functions was calculated using freemuxlet demultiplexing as ground truth. SD represents variations of OCA across 4 cell lines or 3 individuals for PBMCs. B Four cancer cell lines or PBMCs were used to extract cells or nuclei to process further with the different labeling methods as indicated on the scheme. After pooling, the samples were run on a 10x Genomics Chromium platform and libraries were sequenced. LMO: lipid-modified oligonucleotides; CMO: cholesterol-modified oligonucleotides. “Pre-sort labeling”—labeling with hashing reagents followed by one wash and live/dead sorting with subsequent loading of the cells on a 10x Genomics chip. Also for these 2 PBMC samples cDNA libraries were generated using dual sample indexing (for all other samples single-sample indexing used)