Single-cell RNA sequencing dissects gene-environment interactions on gene expression and regulation in immune cells.

This study aims to dissect gene-environment interactions on gene expression and regulation in immune cells using scRNA-seq data from 120 donors being stimulated with 3 pathogens, for 2 different timepoints. More specifically, we identified context- and cell-type-specific eQTLs and co-expression QTLs in PBMCs.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 3 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001007764	Here we present the 1M-scBloodNL study, in which we performed single-cell RNA-seq on 120 individuals of the Northern Netherlands population cohort Lifelines. For each individual peripheral blood mononuclear cells (PBMCs) were sequenced in an unstimulated condition, and after 3 and 24 hour in vitro stimulation with C. albicans (CA), M. tuberculosis (MTB) and P. aeruginosa (PA), totalling approximately 1.3 million cells. scRNA-seq was conducted with the 10X Genomics 3'-end v2 (72 libraries) and v3 (33 libraries) technology. In general, each library contains PBMCs from 8 donors and 2 different stimulation-timepoint combinations. Donors were demultiplexed using a combination of SoupOrCell (https://www.nature.com/articles/s41592-020-0820-1) and genotype information to assign the correct donor to a donor-specific cell cluster.	Illumina NovaSeq 6000	988

Publications	Citations
Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure. Oelen R, de Vries DH, Brugge H, Gordon MG, Vochteloo M, single-cell eQTLGen consortium, BIOS Consortium, Ye CJ, Westra HJ, Franke L, van der Wijst MGP. Nat Commun 13: 2022 3267	44
Genetic, parental and lifestyle factors influence telomere length. Andreu-Sánchez S, Aubert G, Ripoll-Cladellas A, Henkelman S, Zhernakova DV, Sinha T, Kurilshikov A, Cenit MC, Jan Bonder M, Franke L, Wijmenga C, Fu J, van der Wijst MGP, Melé M, Lansdorp P, Zhernakova A. Commun Biol 5: 2022 565	21
Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data. Li S, Schmid KT, de Vries DH, Korshevniuk M, Losert C, Oelen R, van Blokland IV, BIOS Consortium, sc-eQTLgen Consortium, Groot HE, Swertz MA, van der Harst P, Westra HJ, van der Wijst MGP, Heinig M, Franke L. Genome Biol 24: 2023 80	10