Iwei Yeh

This study shows WRN deficiency causes oncogenic rearrangements at TA-rich tandem repeats by destabilizing them, leading to chromosomal breaks and activation of TERT in melanoma.

The paper identifies distinct melanocyte subpopulations in human skin based on mutation burden, showing LowMut cells are stem-like and spatially distinct from HighMut cells.

This study examines the molecular effects of indoor tanning by analyzing mutation patterns in melanocytes from tanning bed users and finds increased mutation burdens and distinct mutational signatures.

This study uses multi-omic profiling to trace molecular changes in skin cells during carcinogenesis, identifying key mutations and spatial gene expression patterns in keratinocytes, actinic keratoses, and squamous cell carcinomas.

The paper identifies a BMP-dependent attractor state in melanoma precursor cells that precedes neural crest fate and is associated with ID1 expression in human melanoma.

The paper develops software to infer copy number and detect single nucleotide variants in spatial transcriptomics data, applied to skin cancer to reveal genetic patterns and clonal populations.

The paper develops HiDENSEC to analyze Hi-C data in heterogeneous cancer samples, identifying chromosomal rearrangements and their impact on melanoma progression.

This study analyzes exome sequencing data from acral melanoma patients to identify distinct genetic evolution patterns compared to sun-exposed melanomas.

This study genotypes individual melanocytes from human skin, revealing mutation patterns linked to sun exposure, skin cancer risk, and melanoma origins.

This study develops a machine learning classifier using microRNA ratios to distinguish melanomas from nevi, achieving 83% sensitivity and 71-83% specificity across multiple datasets.