Peng Xie

The paper uses single-cell multi-omics to study early cardiac lineage specification in mouse embryos, identifying key transcription factors and regulatory networks.

This study shows AFF1 and AFF4 have distinct roles in RNA Pol II transcription elongation, with AFF1 upstream and AFF4 downstream of TSS, and they function antagonistically to regulate transcription.

This study maps the cell-type-specific afferent and efferent projections of the mouse claustrum using viral tracing and single-neuron reconstruction, revealing its widespread connections and regional specificity.

The paper provides a detailed cellular-resolution map of the mouse primary motor cortex, defining cell types and their connectivity.

The paper introduces MorphoHub, a platform for generating petabyte-scale multi-morphometry data, enabling high-quality analysis of neuronal structures in whole brain datasets.

Complete morphologies of 1,708 neurons, sparsely labelled and imaged whole-brain with fMOST, expose region-specific long-range projection rules and finer diversity than current transcriptomic subtypes capture.

SuperCT improves single-cell transcriptomic analysis by using a supervised classifier to accurately identify cell types from RNA expression profiles, outperforming traditional unsupervised methods.