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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Quantitative spatial connectomics of liver reveals a partially exposed sympathetic network that integrates multiple cell types across the portal tract

Carlos Acosta Umanzor, Anne-Laure Cattin, Emma Rachel Andersson, Julia Fernández-Rodrı́guez et al.
bioRxiv (Cold Spring Harbor Laboratory)
Cell Image Analysis Techniques
preprint

Quantitative spatial connectomics of liver reveals a partially exposed sympathetic network that integrates multiple cell types across the portal tract

Carlos Acosta Umanzor, Anne-Laure Cattin, Emma Rachel Andersson, Julia Fernández-Rodrı́guez, Jemima J. Burden, Mario Soriano‐Navarro, Luke A. Noon, Marousa Darsinou, Alison C. Lloyd, Rafael Camacho, Elisabeth Verboven, Antonella Riccio, Alex Power, José Antonio Gómez Sánchez, Arantxa Leal Tassias, Carmen Rojo Sanz, Guilia Casal
preprint en

Abstract

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.

bioRxiv (Cold Spring Harbor Laboratory)
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)
Wellcome Trust, UK Research and Innovation, Cancer Research UK, Generalitat Valenciana, Vetenskapsrådet, Agencia Estatal de Investigación
Good health and well-being
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon