Shuang Liu

This study uses single-nucleus multiomic sequencing to analyze gene expression and chromatin accessibility in the Down syndrome prefrontal cortex, revealing widespread dysregulation in metabolic, synaptic, and neuroinflammatory pathways.

The paper identifies genes and regulatory networks driving electrophysiological maturation of neurons in primate prefrontal cortex, with implications for autism.

The paper processes single-nuclei multi-omics data from 388 human brains to identify regulatory elements and build cell-type networks, revealing changes in aging and neuropsychiatric disorders.

The paper identifies trans-eQTLs in the human prefrontal cortex and links them to schizophrenia risk genes, showing their role in disease mechanisms.

scGRNom predicts cell-type disease genes and regulatory networks from multi-omics data, revealing shared and disease-specific functions in schizophrenia and Alzheimer's Disease.

The paper develops a custom ENCODE annotation for cancer genomics, highlighting TF-RBP interactions and network rewiring during oncogenesis, and validates findings using experimental assays.