NatureNeurosciencePeer-reviewed journal article
Differential developmental blueprints of organ-intrinsic nervous systems
I-Uen Yvonne HsuiD, Jia ZhaoiD, Yingxin LiniD, Yunshan GuoiD, Qian J. XuiD, Yuancheng Shao, Ruiqi L. WangiD, Dominic YiniD, Kakali GhoshaliD, Rida Mourad, Ambra PozziiD, Carmen M. HalabiiD, Lawrence H. YoungiD, Hongyu ZhaoiD, Le ZhangiD, Rui B. ChangiD
Abstract
The organ-intrinsic nervous system is a major interface between visceral organs and the brain, mediating important sensory and regulatory functions in the body-brain axis and serving as critical local processors for organ homeostasis. Molecularly, anatomically, and functionally, organ-intrinsic neurons are highly specialized for their host organs. However, the underlying mechanism that drives this specialization is largely unknown. Here, we describe the differential strategies utilized to achieve organ-specific organization between the enteric nervous system (ENS)1 and the intrinsic cardiac nervous system (ICNS)2, a neuronal network essential for heart performance but poorly characterized. Integrating high-resolution whole-embryo imaging, single-cell genomics, spatial transcriptomics, proteomics, and bioinformatics, we uncover that unlike the ENS which is highly mobile and colonizes the entire gastrointestinal (GI) tract, the ICNS uses a rich set of extracellular matrix (ECM) genes that match with surrounding heart cells and an intermediate dedicated neuronal progenitor state to stabilize itself for a beads-on-the-necklace organization on heart atria. While ICNS- and ENS-precursors are genetically similar, their differentiation paths are influenced by their host-organs, leading to distinct mature neuron types. Co-culturing ENS-precursors with heart cells shifts their identity towards the ICNS and induces the expression of heart-matching ECM genes. Our cross-organ study thus reveals fundamental principles for the maturation and specialization of organ-intrinsic neurons.
- organism: mouse
- assay: spatial transcriptomics
- assay: proteomics
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 4
- FWCI
- 8.21
- Field percentile
- top 2%
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