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Whole-Brain Co-Mapping of Gene Expression and Neuronal Activity at Cellular Resolution in Behaving Zebrafish
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Whole-Brain Co-Mapping of Gene Expression and Neuronal Activity at Cellular Resolution in Behaving Zebrafish

Emmanuel Marquez-Legorreta, Greg M. Fleishman, Luuk W. Hesselink +11 more
February 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.02.07.704095
94
%
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It ranks in the top 1% of preprints assessed in Neuroscience this quarter.
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Why this is interesting

WARP breaks the barrier confining function-to-gene mapping to isolated regions, co-registering whole-brain activity during behavior with single-cell transcriptomics across an entire vertebrate brain and revealing gene expression as a universal organizer of neuronal circuit function.

QED claims analysis

Summary

Whole-brain co-mapping of neuronal activity and spatial transcriptomics at cellular resolution in behaving zebrafish reveals that molecular identity defined by gene co-expression organizes neurons into over 2,000 functional-genetic-anatomical subpopulations with specialized roles in sensory processing and motor control, and demonstrates that genetically-matched neurons exhibit enhanced activity correlations across the entire brain, establishing molecular identity as a fundamental organizing principle of brain-wide functional networks.

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Main Claim 1 –

WARP Co-Maps Whole-Brain Gene Expression and Neuronal Activity

Supporting evidence

  • WARP Algorithms Enable Single-Cell Registration, RNA Assignment, and Demixing
Main Claim 2 –

Gene Co-Expression Subtypes Form Behavior-Correlated Brain-Wide Functional Networks

Supporting evidence

  • Spatially Compact Molecular Subtypes Show Stereotyped Distributions and Higher Correlations
Main Claim 3 –

Genetic Neuron Populations Show Specialized Sensory and Motor Functions

Supporting evidence

  • Visual Stimulation and Swimming Induce cfos in Active Neurons
Main Claim 4 –

Shared Gene Expression Predicts Stronger Local Neuronal Activity Correlations

Abstract

The brain’s capabilities rely on both the molecular properties of individual cells and their interactions across brain-wide networks. However, relating gene expression to activity in individual neurons across the entire brain remains elusive. Here we developed an experimental-computational platform, WARP, for whole-brain imaging of neuronal activity during behavior, expansion-assisted spatial transcriptomics, and cellular-level registration of these two modalities. Through joint analysis of whole-brain neuronal activity during multiple behaviors, cellular gene expression, and anatomy, we identified functions of molecularly defined populations—including luminance coding in a cckb-pou4f2 midbrain population and task-structured activity in pvalb7-eomesa hippocampal-like neurons—and defined over 2,000 other function-gene-anatomy subpopulations. Analysis of this unprecedented multimodal dataset also revealed that most gene-matched neurons showed stronger activity correlations, highlighting a brain-wide role for gene expression in functional organization. WARP establishes a foundational platform and open-access dataset for cross-experiment discovery, high-throughput function-to-gene mapping, unification of cell biology and systems neuroscience, and scalable circuit modeling at the whole-brain scale.

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