Brain-wide single neuron reconstruction reveals morphological diversity in molecularly defined striatal, thalamic, cortical and claustral neuron types

Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been recognized as a defining feature of neuronal types. Yet our knowledge concerning the diversity of neuronal morphologies, in particular distal axonal projection patterns, is extremely limited. To systematically obtain single neuron full morphology on a brain-wide scale, we established a platform with five major components: sparse labeling, whole-brain imaging, reconstruction, registration, and classification. We achieved sparse, robust and consistent fluorescent labeling of a wide range of neuronal types by combining transgenic or viral Cre delivery with novel transgenic reporter lines. We acquired high-resolution whole-brain fluorescent images from a large set of sparsely labeled brains using fluorescence micro-optical sectioning tomography (fMOST). We developed a set of software tools for efficient large-volume image data processing, registration to the Allen Mouse Brain Common Coordinate Framework (CCF), and computer-assisted morphological reconstruction. We reconstructed and analyzed the complete morphologies of 1,708 neurons from the striatum, thalamus, cortex and claustrum. Finally, we classified these cells into multiple morphological and projection types and identified a set of region-specific organizational rules of long-range axonal projections at the single cell level. Specifically, different neuron types from different regions follow highly distinct rules in convergent or divergent projection, feedforward or feedback axon termination patterns, and between-cell homogeneity or heterogeneity. Major molecularly defined classes or types of neurons have correspondingly distinct morphological and projection patterns, however, we also identify further remarkably extensive morphological and projection diversity at more fine-grained levels within the major types that cannot presently be accounted for by preexisting transcriptomic subtypes. These insights reinforce the importance of full morphological characterization of brain cell types and suggest a plethora of ways different cell types and individual neurons may contribute to the function of their respective circuits.

[1]  Hongkui Zeng,et al.  Mesoscale connectomics , 2018, Current Opinion in Neurobiology.

[2]  V. Ramachandran,et al.  Hypotheses relating to the function of the claustrum II: does the claustrum use frequency codes? , 2014, Front. Integr. Neurosci..

[3]  E. Callaway,et al.  Extraction of Distinct Neuronal Cell Types from within a Genetically Continuous Population , 2020, Neuron.

[4]  V. Gradinaru,et al.  Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems , 2017, Nature Neuroscience.

[5]  M. Huizing,et al.  Retro-orbital injections in mice , 2011, Lab Animal.

[6]  Staci A. Sorensen,et al.  Adult Mouse Cortical Cell Taxonomy Revealed by Single Cell Transcriptomics , 2016 .

[7]  Hongkui Zeng,et al.  Projection-specific Activity of Layer 2/3 Neurons Imaged in Mouse Primary Somatosensory Barrel Cortex During a Whisker Detection Task , 2020, Function.

[8]  A. Citri,et al.  Attention: the claustrum , 2015, Trends in Neurosciences.

[9]  Christoph Kayser,et al.  Unimodal Responses Prevail within the Multisensory Claustrum , 2010, The Journal of Neuroscience.

[10]  Albert K. Lee,et al.  Inhibitory Control of Prefrontal Cortex by the Claustrum , 2018, Neuron.

[11]  Ramón y Cajal,et al.  Histologie du système nerveux de l'homme & des vertébrés , 1909 .

[12]  M. Molinari,et al.  The organization of the ipsi- and contralateral claustrocortical system in rat with notes on the bilateral claustrocortical projections in cat , 1985, Neuroscience.

[13]  Shaoqun Zeng,et al.  Chemical reactivation of quenched fluorescent protein molecules enables resin-embedded fluorescence microimaging , 2014, Nature Communications.

[14]  Athanasia G. Palasantza,et al.  Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq , 2015, Nature Biotechnology.

[15]  T. Cutforth,et al.  Sensory maps in the olfactory cortex defined by long-range viral tracing of single neurons , 2011, Nature.

[16]  Hongkui Zeng,et al.  Diverse Central Projection Patterns of Retinal Ganglion Cells. , 2017, Cell reports.

[17]  Yaoyao Li,et al.  A simplified morphological classification scheme for pyramidal cells in six layers of primary somatosensory cortex of juvenile rats , 2018, IBRO reports.

[18]  H. Hioki,et al.  Different cortical projections from three subdivisions of the rat lateral posterior thalamic nucleus: a single‐neuron tracing study with viral vectors , 2015, The European journal of neuroscience.

[19]  Charles R. Gerfen,et al.  Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain , 2019, Cell.

[20]  Hongkui Zeng,et al.  Brainwide Genetic Sparse Cell Labeling to Illuminate the Morphology of Neurons and Glia with Cre-Dependent MORF Mice , 2020, Neuron.

[21]  Q. Luo,et al.  Micro-Optical Sectioning Tomography to Obtain a High-Resolution Atlas of the Mouse Brain , 2010, Science.

[22]  Shaoqun Zeng,et al.  Embedding and Chemical Reactivation of Green Fluorescent Protein in the Whole Mouse Brain for Optical Micro-Imaging , 2017, Front. Neurosci..

[23]  E. Kuramoto,et al.  Two types of thalamocortical projections from the motor thalamic nuclei of the rat: a single neuron-tracing study using viral vectors. , 2009, Cerebral cortex.

[24]  S. Linnarsson,et al.  Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq , 2015, Science.

[25]  Hao Wu,et al.  Complete morphologies of basal forebrain cholinergic neurons in the mouse , 2014, eLife.

[26]  Staci A. Sorensen,et al.  Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation , 2014, Front. Neural Circuits.

[27]  Yves Kremer,et al.  Membrane Potential Dynamics of Neocortical Projection Neurons Driving Target-Specific Signals , 2013, Neuron.

[28]  György Buzsáki,et al.  Three-dimensional reconstruction of the axon arbor of a CA3 pyramidal cell recorded and filled in vivo , 2007, Brain Structure and Function.

[29]  Kenneth D Harris,et al.  A genuine layer 4 in motor cortex with prototypical synaptic circuit connectivity , 2014, eLife.

[30]  C. Koch,et al.  What is the function of the claustrum? , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[31]  Christof Koch,et al.  A robot for high yield electrophysiology and morphology of single neurons in vivo , 2017, Nature Communications.

[32]  Yun Wang,et al.  Hierarchical organization of cortical and thalamic connectivity , 2019, Nature.

[33]  Samuel D. Gale,et al.  Cre recombinase-mediated restoration of nigrostriatal dopamine in dopamine-deficient mice reverses hypophagia and bradykinesia. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[34]  Evan Z. Macosko,et al.  Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain , 2018, Cell.

[35]  Justus M. Kebschull,et al.  High-Throughput Mapping of Single-Neuron Projections by Sequencing of Barcoded RNA , 2016, Neuron.

[36]  Xiaohua Lv,et al.  Reconstruction of Intratelencephalic Neurons in the Mouse Secondary Motor Cortex Reveals the Diverse Projection Patterns of Single Neurons , 2018, Front. Neuroanat..

[37]  G. Ascoli,et al.  L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies , 2008, Nature Protocols.

[38]  Charles R. Gerfen,et al.  Distinct descending motor cortex pathways and their roles in movement , 2017, Nature.

[39]  Hanchuan Peng,et al.  Virtual finger boosts three-dimensional imaging and microsurgery as well as terabyte volume image visualization and analysis , 2014, Nature Communications.

[40]  Partha P. Mitra,et al.  Genetic dissection of glutamatergic neuron subpopulations and developmental trajectories in the cerebral cortex , 2020, bioRxiv.

[41]  Glenn D. R. Watson,et al.  The relationship between the claustrum and endopiriform nucleus: A perspective towards consensus on cross‐species homology , 2018, The Journal of comparative neurology.

[42]  Mohammad S. Rashid,et al.  Epigenomic diversity of cortical projection neurons in the mouse brain , 2020, Nature.

[43]  Alexander S. Ecker,et al.  Principles of connectivity among morphologically defined cell types in adult neocortex , 2015, Science.

[44]  Marcel Oberlaender,et al.  Cell Type-Specific Structural Organization of the Six Layers in Rat Barrel Cortex , 2017, Front. Neuroanat..

[45]  Arthur W. Toga,et al.  Neural Networks of the Mouse Neocortex , 2014, Cell.

[46]  Kenneth D. Harris,et al.  Molecular architecture of the mouse nervous system , 2018 .

[47]  Yuchio Yanagawa,et al.  Integration of electrophysiological recordings with single-cell RNA-seq data identifies novel neuronal subtypes , 2015, Nature Biotechnology.

[48]  Allan R. Jones,et al.  Shared and distinct transcriptomic cell types across neocortical areas , 2017, bioRxiv.

[49]  D. C. Essen,et al.  The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles , 2018, Neuron.

[50]  Hongkui Zeng,et al.  A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation , 2020, Cell.

[51]  Hanchuan Peng,et al.  TeraVR Empowers Precise Reconstruction of Complete 3-D Neuronal Morphology in the Whole Brain , 2019 .

[52]  I. Nelken,et al.  The Claustrum Supports Resilience to Distraction , 2018, Current Biology.

[53]  Hanchuan Peng,et al.  TeraFly: real-time three-dimensional visualization and annotation of terabytes of multidimensional volumetric images , 2016, Nature Methods.

[54]  Bing Wu,et al.  Classifying Drosophila Olfactory Projection Neuron Subtypes by Single-Cell RNA Sequencing , 2017, Cell.

[55]  Jeremy Nathans,et al.  Genetically-Directed, Cell Type-Specific Sparse Labeling for the Analysis of Neuronal Morphology , 2008, PloS one.

[56]  O. Sporns,et al.  Architecture of the cerebral cortical association connectome underlying cognition , 2015, Proceedings of the National Academy of Sciences.

[57]  Hongkui Zeng,et al.  Neuronal cell-type classification: challenges, opportunities and the path forward , 2017, Nature Reviews Neuroscience.

[58]  Christof Koch,et al.  Adult Mouse Cortical Cell Taxonomy by Single Cell Transcriptomics , 2016, Nature Neuroscience.

[59]  Christoph Kayser,et al.  A role of the claustrum in auditory scene analysis by reflecting sensory change , 2014, Front. Syst. Neurosci..

[60]  Hongkui Zeng,et al.  Molecular, spatial and projection diversity of neurons in primary motor cortex revealed by in situ single-cell transcriptomics , 2020, bioRxiv.

[61]  Shaoqun Zeng,et al.  High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level , 2016, Nature Communications.

[62]  James G. King,et al.  Reconstruction and Simulation of Neocortical Microcircuitry , 2015, Cell.

[63]  Michael Z. Lin,et al.  A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality , 2018, Cell.

[64]  F. Clascá,et al.  Long-range projection neurons of the mouse ventral tegmental area: a single-cell axon tracing analysis , 2015, Front. Neuroanat..

[65]  Brian Zingg,et al.  Input–output organization of the mouse claustrum , 2018, The Journal of comparative neurology.

[66]  Zengcai V. Guo,et al.  Maintenance of persistent activity in a frontal thalamocortical loop , 2017, Nature.

[67]  Tianyi Mao,et al.  A comprehensive thalamocortical projection map at the mesoscopic level , 2014, Nature Neuroscience.

[68]  Julie H. Simpson,et al.  BrainAligner: 3D Registration Atlases of Drosophila Brains , 2011, Nature Methods.

[69]  Nikola T. Markov,et al.  A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex , 2012, Cerebral cortex.

[70]  E. Ross The Organization of Will , 1916, American Journal of Sociology.

[71]  Hongkui Zeng,et al.  Phenotypic variation within and across transcriptomic cell types in mouse motor cortex , 2020, bioRxiv.

[72]  Hanchuan Peng,et al.  A principal skeleton algorithm for standardizing confocal images of fruit fly nervous systems , 2010, Bioinform..

[73]  Justus M. Kebschull,et al.  The logic of single-cell projections from visual cortex , 2018, Nature.

[74]  Allan R. Jones,et al.  A mesoscale connectome of the mouse brain , 2014, Nature.

[75]  Lijuan Liu,et al.  TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain , 2019, Nature Communications.

[76]  M. Deschenes,et al.  Intracortical Axonal Projections of Lamina VI Cells of the Primary Somatosensory Cortex in the Rat: A Single-Cell Labeling Study , 1997, The Journal of Neuroscience.

[77]  Brian N. Mathur,et al.  The claustrum in review , 2014, Front. Syst. Neurosci..

[78]  Shawn R. Olsen,et al.  Higher-Order Thalamic Circuits Channel Parallel Streams of Visual Information in Mice , 2018, Neuron.

[79]  Lawrence Edelstein,et al.  Hypotheses relating to the function of the claustrum , 2012, Front. Integr. Neurosci..

[80]  E. G. Jones,et al.  Viewpoint: the core and matrix of thalamic organization , 1998, Neuroscience.

[81]  Julie A. Harris,et al.  Organization of the connections between claustrum and cortex in the mouse , 2016, The Journal of comparative neurology.

[82]  Shaoqun Zeng,et al.  Cell-type-specific and projection-specific brain-wide reconstruction of single neurons , 2018, Nature Methods.

[83]  S Murray Sherman,et al.  Thalamus plays a central role in ongoing cortical functioning , 2016, Nature Neuroscience.

[84]  Ian R. Wickersham,et al.  Nontoxic, double-deletion-mutant rabies viral vectors for retrograde targeting of projection neurons , 2018, Nature Neuroscience.

[85]  L. Looger,et al.  A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons , 2016, Neuron.

[86]  Nathan C. Klapoetke,et al.  Transgenic Mice for Intersectional Targeting of Neural Sensors and Effectors with High Specificity and Performance , 2015, Neuron.

[87]  E. Kuramoto,et al.  Ventral medial nucleus neurons send thalamocortical afferents more widely and more preferentially to layer 1 than neurons of the ventral anterior-ventral lateral nuclear complex in the rat. , 2015, Cerebral cortex.

[88]  Hanchuan Peng,et al.  V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets , 2010, Nature Biotechnology.

[89]  T. Kita,et al.  The Subthalamic Nucleus Is One of Multiple Innervation Sites for Long-Range Corticofugal Axons: A Single-Axon Tracing Study in the Rat , 2012, The Journal of Neuroscience.

[90]  B. Sakmann,et al.  Three-dimensional axon morphologies of individual layer 5 neurons indicate cell type-specific intracortical pathways for whisker motion and touch , 2011, Proceedings of the National Academy of Sciences.

[91]  Hanchuan Peng,et al.  Extensible visualization and analysis for multidimensional images using Vaa3D , 2014, Nature Protocols.

[92]  Anthony M Zador,et al.  High-throughput mapping of single neuron projections by sequencing of barcoded RNA , 2016, bioRxiv.

[93]  B. Mathur,et al.  Claustrum circuit components for top–down input processing and cortical broadcast , 2018, Brain Structure and Function.

[94]  J. Altman,et al.  Development of the endopiriform nucleus and the claustrum in the rat brain , 1991, Neuroscience.

[95]  M. Blume,et al.  BETAS AND THEIR REGRESSION TENDENCIES , 1975 .

[96]  J. Nathans,et al.  New Mouse Lines for the Analysis of Neuronal Morphology Using CreER(T)/loxP-Directed Sparse Labeling , 2009, PloS one.

[97]  Karel Svoboda,et al.  A platform for brain-wide imaging and reconstruction of individual neurons , 2016, eLife.

[98]  Jitendra Malik,et al.  Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[99]  G. Shepherd,et al.  The neocortical circuit: themes and variations , 2015, Nature Neuroscience.

[100]  Dianna Gellar single cell rna sequencing , 2019 .

[101]  C. Gerfen,et al.  Modulation of striatal projection systems by dopamine. , 2011, Annual review of neuroscience.

[102]  L. Ng,et al.  The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas , 2020, Cell.

[103]  Hans Liebig,et al.  Input/Output Organization , 1985 .

[104]  E. Kuramoto,et al.  A morphological analysis of thalamocortical axon fibers of rat posterior thalamic nuclei: a single neuron tracing study with viral vectors. , 2012, Cerebral cortex.

[105]  Brian R. Lee,et al.  Classification of electrophysiological and morphological neuron types in the mouse visual cortex , 2019, Nature Neuroscience.

[106]  H. Seung,et al.  Serial two-photon tomography: an automated method for ex-vivo mouse brain imaging , 2011, Nature Methods.