Using manual sorting of single RFP-labeled cells from microdissected motor and somatosensory cortex of 6-weeks old mice (Figure 1C), we obtained high-resolution transcriptome dataset of ~584 cells (CHC1=80, CHC2=52, PVBC=127, LPC=136, MNC=62, ISC=63 and CCKC=64 cells) from the 6 PCPs (Figure S1D; STAR Methods). Compared with previous methods (Shekhar et al., 2016; Tasic et al., 2016; Zeisel et al., 2015), our linear amplification with 10bp unique molecular identifiers (UMIs) achieved more comprehensive and quantitative transcriptome measurements (detecting ~9K genes/cell; Figure S1H; Star Methods); this facilitated more in-depth analysis of molecular profiles that contribute to the phenotypes and identity of PCPs.
