G. G. Wu

BiNVaST improves cell typing across spatial transcriptomic platforms by generating synthetic data that preserves niche boundaries and integrates molecular and spatial information.

This study identifies OPA1's role in fatty acid release from lipid droplets and links its function to human metabolism.

This study identifies CCL2 as a chemokine that limits osteosarcoma metastasis via NK cell signaling in a mouse model.

RSVrecon is a bioinformatics pipeline that enhances RSV surveillance by automating genotyping and reporting clinically important mutations, providing user-friendly results for clinical researchers.

TIRTL-seq provides a scalable, cost-effective method for paired TCR repertoire sequencing, enabling accurate identification of TCR chain pairings and clonotype dynamics in large cohorts.

The paper identifies SMARCAL1 as a novel predisposition gene for osteosarcoma by analyzing germline variants in DNA damage repair genes across childhood cancer cases.

MitoEdit predicts optimal mtDNA base editing targets and bystander effects to reduce empirical testing.

The paper identifies differences in mtDNA mutation accumulation and selective pressures in pediatric leukemias using bulk and single-cell sequencing, linking these to functional heterogeneity among leukemic cells.

This paper establishes a diverse collection of preclinical models for pediatric solid tumors and demonstrates their utility in precision medicine trials and drug testing.

This paper creates a spatial cell atlas of neuroblastoma, revealing tumor heterogeneity through multi-omics data and identifying spatial compartmentalization and signaling patterns.

scDeepC3 improves scRNA-seq clustering by using a skip AutoEncoder with clustering consistency loss and adaptive shortcut connections, achieving better performance than existing methods.

CoCoRV prioritizes germline disease-predisposition genes by using public genotype summary counts as controls, effectively identifying cancer-predisposition genes in pediatric cancer cohorts.

CovidExpress provides an open-access database and tool for exploring SARS-CoV-2 related gene expression data across tissues and conditions, identifying common regulated genes and a potential FURIN feedback loop.

The paper identifies an enrichment of rare protein-truncating variants in ALS patients, highlighting novel genes like DNAJC7 and known ALS genes such as SOD1, NEK1, and FUS.