Quantitative spatial connectomics of liver reveals a partially exposed sympathetic network that integrates multiple cell types across the portal tract
Peripheral tissues are innervated by sparse axonal networks that regulate homeostasis, regeneration and disease, yet their three-dimensional architecture and cellular targets remain largely unknown. Here, we present an EM workflow for quantitative 3D spatial connectomics to define these networks. We identify the mouse liver connectome as a meshwork, rather than a tree-like structure, of mainly sympathetic axons, in which partial Schwann cell coverage is associated with exposed varicosities along the length of individual axons with large regions of the network devoid of glial coverage. Axon tracing identified axonal terminals throughout the network, but the vast majority of cellular contacts involved exposed 'en passant' varicosities. While both terminals and varicosities innervated the vasculature, most synaptic-like contacts involved hepatocytes, fibroblasts, macrophages, and the stem-cell niche, with all individual axons contacting different cell types along their length, highlighting the network nature of liver innervation, the potential for co-ordinating tissue function and demonstrating the power of this approach for decoding connectivity in peripheral tissues.
Authors
- Carlos Acosta Umanzor
- Anne-Laure Cattin (ORCID: https://orcid.org/0000-0001-7512-9173)
- Emma Rachel Andersson (ORCID: https://orcid.org/0000-0002-8608-625X)
- Julia Fernández-Rodrı́guez (ORCID: https://orcid.org/0000-0003-4522-0966)
- Jemima J. Burden (ORCID: https://orcid.org/0000-0001-5894-7043)
- Mario Soriano‐Navarro (ORCID: https://orcid.org/0000-0002-7245-2095)
- Luke A. Noon (ORCID: https://orcid.org/0000-0002-0502-4322)
- Marousa Darsinou
- Alison C. Lloyd (ORCID: https://orcid.org/0000-0001-7712-1773)
- Rafael Camacho (ORCID: https://orcid.org/0000-0003-2325-6407)
- Elisabeth Verboven (ORCID: https://orcid.org/0000-0003-1432-2791)
- Antonella Riccio
- Alex Power
- José Antonio Gómez Sánchez
- Arantxa Leal Tassias
- Carmen Rojo Sanz
- Guilia Casal
Institutions
- Karolinska Institutet (SE)
- MRC Laboratory for Molecular Cell Biology (GB)
- Centro de Investigacion Principe Felipe (ES)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL) (ES)
- University College London (GB)
- University of Gothenburg (SE)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-10-30
- DOI
- https://doi.org/10.64898/2026.10.26.761888
- Primary Topic
- Cell Image Analysis Techniques
- Type
- preprint
Funders
- Wellcome Trust
- UK Research and Innovation
- Cancer Research UK
- Generalitat Valenciana
- Vetenskapsrådet
- Agencia Estatal de Investigación