Kevin Bi

This study identifies conserved neuronal-like and secretory programs in GEP-NETs and links them to spatial microenvironmental niches and metastatic potential.

This study identifies tumor-myeloid crosstalk as a driver of cisplatin resistance in bladder cancer and proposes PARP14 inhibition as a therapeutic strategy.

This study identifies Dusp5 and Zfp219 as key regulators of age-related T cell dysfunction using CRISPR screens and shows their potential as therapeutic targets.

This study identifies a loss of osteoblastic lineage fidelity in metastatic osteosarcoma through single-nucleus RNA sequencing, linking it to disease progression and potential therapeutic targets.

The paper identifies an IFN response-high epigenetic program linked to BAP1 deficiency in kidney cancer using single nucleus ATAC sequencing across multiple cohorts.

This study identifies epigenetic dysregulation of metabolic programs in liposarcoma, linking IGF1 loss and PPARG2 deficiency to dedifferentiation and proposing IGF1R-targeted therapy.

The paper compares single-cell RNA profiling technologies using different sample types to assess their performance in tumor specimens.

The paper analyzes multiomic data from primary and metastatic esophageal adenocarcinoma tumors to identify cell states and their spatial interactions, linking them to clinical outcomes.

The paper introduces BEANIE, a nonparametric method to improve differential enrichment analysis in single-cell transcriptomics by accounting for sample-specific biology and robustness of signatures across cohorts.

This study identifies transcriptional states in mCRPC that mediate treatment resistance, including AR splicing heterogeneity, TGF-β signaling, and immune infiltration patterns.