Abstract

Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types1,2, yet our knowledge of its diversity remains limited. Here, to systematically examine complete single-neuron morphologies on a brain-wide scale, we established a pipeline encompassing sparse labelling, whole-brain imaging, reconstruction, registration and analysis. We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities. Extensive projectional diversity was found within each of these major types, on the basis of which some types were clustered into more refined subtypes. This diversity follows a set of generalizable principles that govern long-range axonal projections at different levels, including molecular correspondence, divergent or convergent projection, axon termination pattern, regional specificity, topography, and individual cell variability. Although clear concordance with transcriptomic profiles is evident at the level of major projection type, fine-grained morphological diversity often does not readily correlate with transcriptomic subtypes derived from unsupervised clustering, highlighting the need for single-cell cross-modality studies. Overall, our study demonstrates the crucial need for quantitative description of complete single-cell anatomy in cell-type classification, as single-cell morphological diversity reveals a plethora of ways in which different cell types and their individual members may contribute to the configuration and function of their respective circuits.

Highlights

  • Single neurons have traditionally been labelled with molecular markers using whole-cell patching, in vivo electroporation[12,13,14], sparse transgenic expression[15] or sparse viral infection[16,17,18,19], followed by manual reconstruction across many consecutive sections

  • Our study reveals substantial morphological and projection diversity of individual neurons—this diversity is governed by underlying principles that manifest in region- and cell-type-specific manners

  • Each fluorescence micro-optical sectioning tomography (fMOST) dataset was registered to the 3D Allen mouse brain Common Coordinate Framework (CCFv3)[29], using a newly developed mBrainAligner program designed for fMOST datasets to handle the challenges of brain shrinkage and deformation (Extended Data Fig. 4a)

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Summary

Introduction

Single neurons have traditionally been labelled with molecular markers using whole-cell patching, in vivo electroporation[12,13,14], sparse transgenic expression[15] or sparse viral infection[16,17,18,19], followed by manual reconstruction across many consecutive sections. As part of the BRAIN Initiative Cell Census Network (BICCN) efforts to characterize brain cell types across multiple modalities, we established a pipeline to label, image, reconstruct and classify single neurons in mice. We report here the largest set of complete single-neuron reconstructions to date. These neurons are labelled by cell subclass or type-selective Cre driver lines, enabling correlation of their morphologies and projection patterns with molecular identities. Our study reveals substantial morphological and projection diversity of individual neurons—this diversity is governed by underlying principles that manifest in region- and cell-type-specific manners

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Results
Conclusion

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