Nighat Noureen

The paper quantifies telomerase activity in cancer using an unsupervised metric and finds that high levels correlate with genomic instability while low levels link to senescence, inflammation, and better survival.

OpenPBTA provides a collaborative platform to genomically characterize 1,074 pediatric brain tumors and 22 cell lines, offering analysis modules and somatic datasets for research and clinical applications.

This study benchmarks four supervised signature-scoring methods for single-cell RNA sequencing data in cancer, showing that bulk-sample-based methods are biased while single-cell-based methods are more accurate.

The paper introduces a method to estimate telomerase enzymatic activity using a 13-gene expression signature and validates it across multiple datasets, finding a strong correlation with cancer stemness.

PCAT is a portal for pediatric cancer PDX models and associated genomic data, providing clinical, molecular, and preclinical testing information for 324 models and 79 therapeutic agents.