Evidence map›Paper›PMID 40654623›Full record

ArticlebioRxiv : the preprint server for biology2025

Integrated Classification of Cortical Cells and Quantitative Projectomic Mapping Unveil Organizational Principles of Brain-Wide Connectomes at Single Cell Level.

Yun Wang, Hsien-Chi Kuo, Xiuli Kuang, Shenqin Yao, Phil Lesnar, Lydia Ng, Yaoyao Li, Laila El-Hifnawi, Natalie Chen, Kasey Zhang and 35 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

45 authors.

Yun WangAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0001-5501-8433
Hsien-Chi KuoAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-0215-2302
Xiuli KuangState Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.ORCID 0000-0001-7569-7605
Shenqin YaoAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0003-2992-4752
Phil LesnarAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-2152-604X
Lydia NgAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-7499-3514
Yaoyao LiState Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.ORCID 0000-0001-5468-9876
Laila El-HifnawiAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0009-0006-5634-4605
Natalie ChenAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0009-0007-5525-5536
Kasey ZhangAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0009-0002-0767-7826
Eric M LiGeorgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0009-0005-5982-907X
Yoav Ben-SimonAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-7075-097X
Songlin DingAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-7072-5272
Quanxin WangAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-0007-7935
Totte KarlssonAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0009-0005-3544-1820
Rachel DelleyAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0001-7461-7845
Grace WillamsAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-8463-2886
Wei XiongState Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.ORCID 0000-0003-3837-7906
Chao ChenOujiang Oujiang Laboratory, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, China.ORCID 0000-0002-6541-4402
Kai ChenOujiang Oujiang Laboratory, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, China.ORCID 0009-0008-9768-7764
Zili HuangState Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.ORCID 0009-0009-7709-1581
Zhi-Feng YuState Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.ORCID 0009-0009-0147-3663
Wenjie XuAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-5584-015X
Leila AhmadiniaAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0009-0000-3892-0919
Sarah Walling-BellAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0001-6995-2681
Julia AndradeAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0001-6155-5374
Olga GlikoAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-5014-7209
Uygar SümbülAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0001-7134-8897
Matt MalloryAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-8744-3837
Colin FarrelAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0003-3487-3064
Ben SuttonAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0009-0004-5729-3526
Kelly JinAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0003-2393-6461
Zizhen YaoAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-9361-5607
Luke EspositoAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-3565-9126
Susan SunkinAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0001-9893-3834
Lauren KruseAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-3428-2443
Qingming LuoHuazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-6725-9311
Hui GongHuazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-8597-3693
Anan LiHuazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-5877-4813
Jia QuState Key Laboratory of Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China.ORCID 0009-0004-2800-6612
Hannah ChoiGeorgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0002-8192-1121
Stefan MihalasAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-2629-7100
Jun ZhuangAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-6237-3270
Hongkui ZengAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-0326-5878
Staci SorensenAllen Institute for Brain Science, Seattle, Washington, USA.ORCID 0000-0002-6799-2126

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

Molecularly defined cortical cell types have recently been linked to whole neuronal morphology (WNM), particularly those characterized by whole-brain-wide projections, such as intratelencephalic (IT), extratelencephalic (ET), and corticothalamic (CT) neurons. In contrast, classical morphological classifications (e.g., tufted TPC, small tufted SPC, and stellate SSC) are based primarily on local dendrosomatic and axonal structures, especially apical dendrites. This study bridges these perspectives by establishing a new neuronal taxonomy, analyzing the connectomes of defined cortical cell types, and comparing them with those obtained from bulk anterograde injections. Neurons were sparsely labeled via tamoxifen-inducible Cre lines with GFP reporters, and 1,419 WNM cells were comprehensively reconstructed with Vaa3D-TeraVR from ~15 areas across six functional regions of molecularly labeled brains imaged with 2p-fMOST. These cells were newly classified by integrating current molecular-WNM and classical morphological perspectives, with sample size augmented by 1,455 publicly available WNM cells reconstructed from the Mouse-Light project and CEBSIT. This effort defined ten combined molecular-WNM-classical morphological cell types: L5ET_TPC, L6CT_NPC, L6b_HPC, and seven IT types-L2/3IT_TPC, L4IT_SSC, L4IT_UPC, L4IT_TPC, L5IT_SPC, L6IT_IPC, and L6IT_car3PC. Clustering, quantitative analyses and random Forest classifier objectively validated these types and revealed their distinct connectomes, along with convergent, topographic, and hierarchical organizations across their projection brain regions. At the single-cell level, multiple organizational principles governing cortico-cortical (C-C) and cortico-subcortical (C-subC) connectomes emerged with unprecedented detail, offering a precise GPS-like tool for

Identifiers

PMID40654623
PMCPMC12247966

What Socratic holds

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LicenceCC BY
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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 Socratic graph.