This repository contains the CITE-Seq data set used in the manuscript titled "Multiomics approach identifies novel age-, time- and treatment-related immunopathological signatures in MIS-C and pediatric COVID-19". This data set is composed of the expression levels of 188 surface proteins, RNA expression, and BCR/TCR repertoire in single peripheral blood mononuclear cells from 7 multisystem inflammatory syndrome in children (MIS-C) and 8 pediatric COVID-19 patients, in addition to 7 age- and sex-matched pediatric healthy controls. 1. misc_SeuratObj_submission.rds -- Seurat object contains all count data used for the manuscript - raw sequencing data are not provided due to privacy issue - metadata is included in the Seurat object 2. MIS-C_cohort_citeseq.xlsx -- sample meta data 3. immcant_bcr_ighl_filtered.csv -- single cell BCR data 4. TCR_filtered_contig_annotations.csv -- single cell TCR data 5. README.txt -- Descriptions of the individual data files

This work was supported by the Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health (grant ZIA AI001270-01 to LDN and ZIA AI001265 to HCS), by Regione Lombardia, Italy (project "Risposta immune in pazienti con COVID-19 e co-morbidità" to RC, AL, DM, GLM for Pavia, Italy and LI and AS for Brescia, Italy), by ANID COVID 0999, Fondecyt nº 11181222 (to MCP, Chile). In addition, this project has been funded in part with federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. 75N91019D00024 (to DBK).