Recent advancements in single-cell technologies have enabled expression quantitative trait
locus (eQTL) analysis across many individuals at single-cell resolution. Compared with bulk …

The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has
advanced our understanding of the pathogenesis of disease and provided valuable insights …

INTRODUCTION Efforts to map quantitative trait loci (QTLs) across human tissues by the
GTEx Consortium and others have identified expression and splicing QTLs (eQTLs and …

In recent years, functional genomics approaches combining genetic information with bulk
RNA-sequencing data have identified the downstream expression effects of disease …

While large-scale, genome-wide association studies (GWAS) have identified hundreds of
loci associated with brain-related traits, identification of the variants, genes and molecular …

With the number of cells measured in single-cell RNA sequencing (scRNA-seq) datasets
increasing exponentially and concurrent increased sparsity due to more zero counts being …

Single cell RNA-seq has revolutionized transcriptomics by providing cell type resolution for
differential gene expression and expression quantitative trait loci (eQTL) analyses. However …

The impact of genetic variants on cells challenged in biologically relevant contexts has not
been fully explored. Here, we activated CD4+ T cells from 89 healthy donors and performed …

Single-cell genomic technologies are revealing the cellular composition, identities and
states in tissues at unprecedented resolution. They have now scaled to the point that it is …

Chemotherapeutics are the mainstay treatment for metastatic breast cancers. However, the
chemotherapeutic failure caused by multidrug resistance (MDR) remains a pivotal obstacle …