This repository contains the code used to generate the results presented in the paper: “Enrichment of neural crest cells by antibody labelling and flow cytometry for single-cell transcriptomics” by Robin Pranter, Cedric Patthey, and Nathalie Feiner
01_plot_FACS.Rmd Analysis and visualization of flow cytometry (FACS) data.
qPCRAnalysis_AutoBT.Rmd Analysis of RT-qPCR data.
pilot3_Merged.Rmd Reading, quality control, and filtering of 10X Chromium single-cell RNA-seq data.
01_CompileData.Rmd Compilation and initial processing of Smart-seq3 data.
02_QCFilter.Rmd Quality control and filtering of Smart-seq3 data.
pilot3_&SmrtSeq.Rmd Integration of 10X Chromium and Smart-seq3 datasets, including SCT normalization, Harmony integration, and differential expression analysis.
pilot3_Merged_relExp.Rmd Comparison of relative expression of the neural crest cell marker Sox10 across unsorted, leniently sorted, and strictly sorted wall lizard cells, as well as sorted and unsorted mouse cells from previous studies.
03_1st6samps_28ss_QC_scmapCao_FullData_dardel_cheap.R Projection of strictly sorted wall lizard cells (Smart-seq3 data) onto the mouse embryonic cell atlas from Cao et al. (2019).
pilot3_scmapOnCao_FullData_dardel_cheap.R Projection of unsorted and leniently sorted wall lizard cells (10X Chromium data) onto the mouse embryonic cell atlas from Cao et al. (2019).
scmapSolOnCao_FullData_dardel.R Projection of sorted mouse neural crest cells from Soldatov et al. (2019) onto the mouse embryonic cell atlas from Cao et al. (2019).