Hsiu‐Chuan Lin

This study identifies how SALL1 and neural microenvironmental context shape the identity of stem cell-derived human microglia-like cells in 2D and 3D cultures.

The paper develops a classifier to identify excitatory and inhibitory neurons using HD-MEA recordings without post-hoc labeling, revealing cell-type-specific network dynamics.

The paper programs human neuron subtypes using combinatorial patterning and scRNA-seq to identify diverse neuron types and their developmental signaling networks.

CellFlow predicts single-cell phenotypes from complex perturbations using flow matching, demonstrating accuracy in cytokine stimulation, drug treatments, and developmental modeling.

The paper creates a multi-omic atlas of human neural organoids modeling the posterior brain and identifies morphogen conditions that expand organoid models.

This paper integrates 36 single-cell transcriptomics datasets from human neural organoids into a unified atlas to assess cell type coverage and compare organoid protocols with primary brain tissue.

This study uses single-cell transcriptomics to show that Ngn2 overexpression in human iPSCs generates heterogeneous neurons, including peripheral nervous system-like populations, and that Ngn2 dosage affects neuron fate.