CITEseq of human PBMC from healthy adult blood

The development of single cell transcriptomic technologies yields large datasets comprising multimodal informations such as transcriptomes and immunophenotypes. Currently however, there is no software to easily and simultaneously analyze both types of data. Here, we introduce Single-Cell Virtual Cytometer, an open-source software for flow cytometry-like visualization and exploration of multi-omics single cell datasets. Using an original CITE-seq dataset of PBMC from an healthy donor, we illustrate its use for the integrated analysis of transcriptomes and epitopes of functional maturation in peripheral T lymphocytes from healthy donors. So this free and open-source algorithm constitutes a unique resource for biologists seeking for a user-friendly analytic tool for multimodal single cell datasets. Overall design: peripheral blood mononuclear cells (PBMCs) were isolated by sedimentation on Lymphopure TM (BioLegend) and labelled with 5 TotalSeq TM -A antibody mixes (to CD14, CD16, CD19, CD3, CD4, CD45, CD45RA, CD62L, CD8 and isotype controls) . For each antibody mix, a different TotalSeq TM -A hashtag (0.5 µ g/test) was used to allow for sample multiplexing.