Anang A. Shelat

The paper develops ALTitude, a machine learning model to predict ALT status from whole genome sequencing data, identifies SMARCAL1 as a therapeutic target in ALT-driven cancers.

This study shows that BRD4 recruitment can desilence transcription within repressive chromatin without removing H3K9me3 or HP1, challenging conventional models of chromatin regulation.

This study identifies PARP1's direct role in evicting histone dimers from nucleosomes to generate open chromatin intermediates that facilitate DNA repair.

The paper develops a NanoBRET tracer, MS-1, to assess functional activity of class I bromodomain inhibitors in live cells, showing broad applicability across BPTF, PCAF, GCN5, and CECR2.

rtmsEcho automates AEMS data processing tasks like peak detection and multimodal analysis, improving efficiency in high-throughput applications.

This study identifies over 20 drugs that induce echinocandin tolerance in Candida albicans, revealing their mechanism involves multiple signaling pathways and transcriptional changes.

The paper identifies glycerophospholipid biosynthesis upregulation as a mechanism of chemoresistance in SLFN11-loss Ewing sarcoma and shows that inhibiting this pathway enhances DNA-damaging agent efficacy.