Qiang Li

This study integrates multi-omic data from mouse and human choroid plexus to identify conserved molecular programs of epithelial function across species.

This study engineers segmented poly(A) tails with microRNA target sites to enable tissue-specific regulation of mRNA-LNPs, showing position-dependent expression control in vitro and in vivo.

This study shows that brain bladder communication persists after spinal cord injury and can be strengthened with bumetanide, improving urinary function.

This paper introduces in situ graphene-seq, a platform integrating chronic electrophysiology with spatial transcriptomics to analyze tissue microenvironments, showing how spatial heterogeneity affects cell function and gene expression.

Agentic Lab integrates AI agents with physical lab operations to improve reproducibility in cell and organoid research by autonomously generating protocols and analyzing experimental data.

This paper introduces a stretchable microelectrode array that integrates into the developing brain, enabling long-term, stable neural activity tracking without disrupting development.

This paper introduces an AI-cyborg system that uses adaptive intelligent modulation to enhance cardiac organoid maturation through real-time feedback.

This paper introduces TEMPOmap, a method to profile subcellular RNA kinetics in single cells, revealing kinetic gene clusters with distinct functional roles.

This paper introduces in situ electro-sequencing to map gene expression and electrophysiology in 3D tissues, improving cell type analysis and developmental trajectory reconstruction.

ClusterMap is a framework for analyzing spatial gene expression data, clustering RNAs into subcellular structures and tissue regions across multiple dimensions.