Evidence map›Paper›PMID 41174172›Full record

ArticleNature neuroscience2025

Dendritome mapping reveals the spatial organization of striatal neuron morphology.

Chang Sin Park, Ming Yan, Muye Zhu, Masood A Akram, Nicholas N Foster, Andrew Bennecke, Christopher Choi, Karl Marrett, Keivan Moradi, Jason Y Zhang and 16 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Concordant transcriptional and morphological remodeling revealed bybioRxiv : the preprint server for biology · 2026
    Article
  2. Functional Neurogenomics to Dissect Disease Mechanisms Across Models.Annual review of genomics and human genetics · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Chang Sin ParkCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Ming YanCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5116-8290
Muye ZhuUCLA Brain Research and Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Masood A AkramCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-7178-6974
Nicholas N FosterUCLA Brain Research and Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1740-9788
Andrew BenneckeDepartments of Computational Medicine and Neurology, University of California, Los Angeles, CA, USA.
Christopher ChoiCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-0410-2488
Karl MarrettDepartment of Computer Science, University of California, Los Angeles, CA, USA.
Keivan MoradiUCLA Brain Research and Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Jason Y ZhangCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Gabrielle MagatCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Sumit NandaUCLA Brain Research and Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Raymond VacaCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-1720-0741
Kathleen WijayaCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Jedrick Regala ZablanCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Sebastian LeeCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0005-8296-558X
Cassidy SongCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Mary Jasmine LaraCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0008-3737-3907
Madeline LouieCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0005-5567-8614
Jason CongDepartment of Computer Science, University of California, Los Angeles, CA, USA.
Yongsoo KimDepartment of Neuroscience and Experimental Therapeutics, College of Medicine, The Pennsylvania State University, Hershey, PA, USA.ORCID http://orcid.org/0000-0002-4277-0279
Giorgio A AscoliCenter for Neural Informatics, Structures and Plasticity, Bioengineering Department and Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA.ORCID http://orcid.org/0000-0002-0964-676X
Peter LangfelderCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Daniel TwardDepartments of Computational Medicine and Neurology, University of California, Los Angeles, CA, USA. dtward@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-4607-6807
Hong-Wei DongUCLA Brain Research and Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. HongWeiD@mednet.ucla.edu.ORCID http://orcid.org/0000-0001-9972-3177
X William YangCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA. xwyang@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-3705-7935

Funding

Next-generation MORF Mice for Scalable Brainwide Morphological Mapping and Genetic Perturbation of Single NeuronsRF1MH128888 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DONG, HONG-WEI, YANG, XIANGDONG WILLIAM · 2021 to 2021
$4.4M
Dendritome mapping of genetically-defined and sparsely-labeled cortical and striatal projection neuronsU01MH117079 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DONG, HONG-WEI, YANG, XIANGDONG WILLIAM · 2018 to 2022
$4.3M
Novel mouse genetic models to study modifiers of Huntington’s diseaseR01NS113612 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIANGDONG WILLIAM · 2019 to 2023
$3.2M
NIMH NIH HHS RF1 MH128888U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) RF1MH128888U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U01MH117079U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS113612
6 · The paper itself

Abstract

Dendritic arbors are essential for neuronal computation and signal propagation, yet large-scale single-neuron morphology studies remain challenging. Here we present a systems biology approach, termed 'dendritome mapping', to profile the dendritic morphology of genetically defined single neurons in mice, unveiling striatal medium spiny neuron (MSN) morphological territories and aging-associated or disease-associated alterations. We generated 3,762 three-dimensional-reconstructed and reference-atlas-mapped striatal D1-type and D2-type MSNs, revealing distinct impacts of D1/D2 genotypes and striatal locations on MSN morphology. To analyze dendritic variation at a finer resolution than known anatomical landmarks permit, we assigned MSNs to latticed cubic boxes within the reference brain atlas, summarized a morphometric representation ('eigen-morph') for each box and clustered boxes with shared morphometry. This identified six modules with characteristic dendritic features and spanning contiguous striatal territories, each receiving distinct corticostriatal inputs. Finally, we found that aging confers dendritic atrophy in both D1-MSNs and D2-MSNs, whereas Huntington's disease mice exhibit MSN-type and regional-specific defects.

Indexed as

Corpus StriatumDendritesNeuronsAgingAnimalsHuntington DiseaseMaleMiceMice, Inbred C57BLMice, TransgenicReceptors, Dopamine D1Receptors, Dopamine D2Receptors, Dopamine D1Receptors, Dopamine D2

Identifiers

PMID41174172

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.