Dataset
Gene expression counts
Raw gene expression counts
Raw gene expression counts per lane in Matrix Market Exchange format. Each line of this file contains the index and value for every entry in the matrix, whereby the rows represent the genes (stored in genes.tsv) and the columns the cell barcodes (stored in barcodes.tsv). The Cell Ranger output for each lane has been included in the Cell Ranger web summary.
Demultiplexing
Sample identification
Cell barcodes for samples. This file can be used to link the barcodes to the correct sample. Each line contains a barcode. The first column contains the barcode, and the second column contains the sample identifier.
Cell type classification
Cell type classification
A two column tab separated file containing the cell barcodes (remained after QC) linked to their designated cell type.
eQTL analyses summary statistics
Raw output files of the eQTL analyses
The eQTL summary statistics for the eQTL analysis refined to previously reported top-eQTLs from whole blood deepSAGE (“restricted-eQTL-deepSAGE_PBMC”) and RNA-seq data (“restricted-eQTL-RNAseq_PBMC”) and the genome-wide eQTL analysis (“genome-wide-eQTL_cellType”). From left to right column: Nominal P-value, SNP name, SNP chromosome number and position, assessed allele, Ensembl gene name, HGNC gene symbol, gene chromosome number and position of gene center, Spearman’s rank correlation, Z-score, FDR for each gene-SNP pair that was tested (each analyzed cell type is shown in a separate file).
MAGIC imputation
Gene expression per donor after MAGIC imputation in the CD4+ T cells
Gene expression count matrices per donor after MAGIC imputation in the CD4+ T cells. Filenames indicate the sample IDs, columns represent the cells and rows the genes.
co-expression QTL summary statistics
co-expression QTL summary statistics
The co-expression QTL summary statistics of all results (significant and non-significant) for the eQTL analysis restricted to the 145 genes that showed a cis-eQTL effect in the CD4+ T cells.
Interactions and correlations were only calculated for those genes that show variance in gene expression within the CD4+ T cells and are expressed in each of the 45 donors, i.e. 102 cis-eQTL
genes were compared to 7,975 genes.
Data access
Gene expression data (EGA) and Genotype data
Processed (deanonimyzed) single-cell RNA-seq data, including a text file that links each cell barcode to its respective donor is freely available and has been deposited at the European Genome-phenome Archive (EGA),
which is hosted by the EBI and the CRG, under accession number
EGAS00001002560.
To gain access to the raw expression or genotype data, please fill in and sign the
Data Sharing Agreement
and the
Data Access Request Form,
then send these documents to
M.G.P. van der Wijst.