Wee Joo Chng

AI4Loop uses deep learning to infer chromatin interactions from RNA-seq data, revealing increased interactions in tumors and identifying potential therapeutic compounds.

This study shows c-MYC can form phase condensates using its DNA binding domain, using optoDroplet system for dynamics analysis.

This study benchmarks Nanopore long read RNA sequencing in human cell lines, showing improved isoform resolution compared to short reads.

This study shows genotoxic chemotherapy increases CD59 expression, reducing complement-dependent cytotoxicity and rituximab efficacy in DLBCL via Chk1-mediated regulation.

The paper demonstrates that disrupting super-silencers via EZH2 and REST inhibition reduces chromatin interactions and cancer growth.

This study shows that aberrant non-canonical NF-kappaB signalling reprograms the epigenome to drive oncogenic transcriptomes in multiple myeloma by promoting super-enhancers and cis-regulatory interactions.

ChINN predicts chromatin interactions from DNA sequences, showing good performance across samples and identifying sequence features associated with interactions in CLL patient data.

This paper introduces xPore, a method to detect differential RNA modifications from direct RNA sequencing, showing it identifies m6A sites with single base resolution and quantifies modification rate differences across cell lines.

This study shows TIP60 acetylates H2AZ, affecting DNA repair gene expression and doxorubicin sensitivity through RAD51 transcription.

NanoVar accurately detects structural variants using low-depth Nanopore sequencing, achieving high F1 score in simulated data and uncovering normal alleles in patient samples.

The paper identifies recurrent PD-L1 structural rearrangements and JAK3 mutations in NKTL patients achieving CR with PD-1 blockade therapy, suggesting genomic screening may improve patient selection.