Bo Wang

This study identifies conserved and clade-specific hypothalamic cell types across vertebrates using single-cell transcriptomics, revealing conserved transcription factors and rewired regulatory linkages.

This study identifies brain macrophages in the African turquoise killifish that engulf brain extracellular material, showing age-related decline in engulfment capacity.

X-Cell predicts causal perturbation responses across diverse cellular contexts using a diffusion language model trained on a large CRISPRi Perturb-seq dataset.

The paper identifies ruptoblasts, a novel cytotoxic cell type in planarians, showing they use explosive cell death to release cytotoxic agents in response to activin, linking hormonal regulation to immune defense.

This study shows that whole-body regeneration in a flatworm occurs without conventional neoblasts, challenging the idea that neoblasts are essential for regeneration.

This study shows that simple nervous systems can filter temporal sensory information through neuropeptide-mediated gating, challenging the notion that such behavior requires complex brain structures.

This paper develops a toolkit for live imaging of whole-body regeneration in flatworms, revealing neuron regenerative limitations and independent nerve cord reconnection.

The paper shows planarians use incoherent signaling mechanisms involving neuropeptides and neuromodulators to maintain behavioral robustness during brain regeneration.

This study shows that injury in the acoel Convolutriloba longifissura triggers coordinated responses between the host and its symbiotic algae, mediated by the runt transcription factor.

The paper shows that injury triggers ultrafast Erk signal propagation in planarians, mediated by body-wall muscles, which is essential for regeneration.

This paper introduces Expansion Spatial Transcriptomics to improve spatial resolution and capture efficiency in spatial transcriptomics by expanding tissue before transcriptome capture, demonstrated on mouse brain samples.

This paper uses a mouse lemur transcriptomic atlas to identify new genes, splice junctions, and disease-related features, highlighting their relevance to primate biology and human disease.

The paper examines cell proliferation and death patterns during development and metamorphosis in Schizocardium californicum, finding distinct proliferative patterns and limited cell death in larvae.

The paper creates a comprehensive cell atlas of mouse lemurs using single-cell RNA sequencing, identifying over 750 cell types and comparing their molecular profiles to humans, mice, and macaques.

The paper identifies 18 cell types in sponges, including neuroid cells with synaptic gene expression, suggesting early neuro-immune system evolution.

The paper characterizes cell types in the fly kidney using snRNA-seq and identifies new clusters, markers, and signaling networks, linking them to mammalian and planarian kidney structures.

The paper uses SAMap to compare single-cell atlases across species, identifying homologous cell types and revealing ancient cell families in animal evolution.

The paper introduces the self-assembling manifold algorithm to improve gene relevance quantification and dimensionality reduction in single-cell RNA sequencing data, showing it outperforms existing methods in identifying stem cell populations and across multiple datasets.