Joseph Minhow Chan

The paper introduces Suco and Compocyte to classify immune cells from 3,965 patients, identifying new macrophage and monocyte states and T cell memory erosion in metastases.

The paper identifies basal cells as the origin of neuroendocrine-tuft-like tumors in SCLC, revealing lineage plasticity and transcriptional states that mirror human cancer and normal cell injury responses.

The paper identifies ATOH1 as a pro-metastatic oncogenic driver in SCLC by showing its role in cell survival and metastasis suppression upon depletion.

Segger improves cell segmentation in spatial transcriptomics by using a graph neural network, achieving high sensitivity and speed with minimal manual intervention.

The paper uses single-cell analysis to study how cell surface antigen expression changes in treatment-resistant prostate cancer, revealing transcriptional heterogeneity and shared gene regulatory networks between NEPC and SCLC.