Asha Kar

The paper introduces ambimux, a method to estimate and demultiplex ambient molecule contamination in single-cell RNA+ATAC multiome data, improving the detection of biologically meaningful signals.

The paper characterizes the epigenomic and 3D genomic landscape of human subcutaneous adipose tissue at the cell-type level and links epigenomic variation to abdominal obesity risk.

This study uses longitudinal single-cell adipose transcriptomics to identify genes and variants associated with weight loss after bariatric surgery and shows that BMI polygenic risk scores predict weight loss outcomes.

The paper integrates single-cell omics with biobank data to show SREBF1 risk variants affect adipocyte gene expression in trans, impacting abdominal obesity.