John Blischak

The paper develops a method to quantify cell cycle progression in scRNA-seq data using a small number of genes, showing it can predict cell cycle phase within 14% accuracy.

This study identifies variance QTLs (vQTLs) in human iPSCs using scRNA-seq, finding that genetic variants affect gene expression variance but with smaller phenotypic impact than mean expression QTLs.

This study compares endoderm differentiation in humans and chimpanzees using iPSCs, finding high conservation of gene regulatory trajectories despite species-specific expression differences.

This study assesses genetic influences on inter-individual variation in three human phosphoproteomes and identifies genetic associations with phosphopeptide variation.

This study identifies genetic variants influencing the transcriptomic response to doxorubicin in cardiomyocytes and links them to anthracycline-induced cardiotoxicity risk.

The paper uses gene expression in dendritic cells to predict tuberculosis susceptibility, finding differentially expressed genes and genetic polymorphisms associated with TB risk.