Virendra K. Chaudhri

The paper expands the DNA motif lexicon of transcriptional regulatory code by identifying composite elements and using a deep learning model to predict their activity and impact of variants.

The paper identifies and characterizes diverse composite transcriptional elements (CEs) in mammalian cis-regulomes, revealing digital and fuzzy configurations with distinct regulatory properties.

The paper identifies increased ACE2 expression in aged human lung alveolar early progenitors and suggests a mechanism by which SARS-CoV-2 may infect ACE2-negative cells through soluble ACE2.

The paper constructs a functional cis-regulome for activated murine B-cells using FAIRE-seq, STARR-seq, and Hi-C, revealing long-range enhancer-promoter interactions and complex transcription factor codes.