Evidence map›Paper›PMID 41491937›Full record

ArticleNeuroscience bulletin2026

Subcellular Structures in Native Hippocampal Synapses Revealed by Cryo-electron Tomography.

Chong-Li Tian, Lei Qi, Zhen-Hang Lu, Shuo Liu, Min-Ling Gu, Wen-Lan Huang, Yi-Tong Yan, Yun-Tao Liu, Jing Wu, Peiyi Wang and 4 more

Abstract read
In one paragraph

Article in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Chong-Li TianMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China.ORCID http://orcid.org/0009-0009-3749-5418
Lei QiMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China.ORCID http://orcid.org/0000-0002-1312-5764
Zhen-Hang LuMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China.ORCID http://orcid.org/0009-0004-8376-4360
Shuo LiuInterdisciplinary Center for Brain Information, the Brain Cognition and Brain Disease Institute, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.ORCID http://orcid.org/0009-0006-4406-9773
Min-Ling GuMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China.ORCID http://orcid.org/0009-0004-1182-5101
Wen-Lan HuangInterdisciplinary Center for Brain Information, the Brain Cognition and Brain Disease Institute, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.ORCID http://orcid.org/0009-0005-0162-9657
Yi-Tong YanMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China.ORCID http://orcid.org/0009-0004-8739-8118
Yun-Tao LiuCalifornia NanoSystems Institute, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0003-2577-1859
Jing WuCryo-EM Centre, Southern University of Science and Technology, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0002-1413-4101
Peiyi WangCryo-EM Centre, Southern University of Science and Technology, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0001-7737-181X
Z Hong ZhouCalifornia NanoSystems Institute, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0002-8373-4717
Guo-Qiang BiMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China.ORCID http://orcid.org/0000-0001-8735-3818
Pak-Ming LauMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China. plau@ustc.edu.cn.ORCID http://orcid.org/0000-0001-9026-5501
Chang-Lu TaoMOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, Center for Integrative Imaging, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230027, China. taocl@ustc.edu.cn.ORCID http://orcid.org/0000-0003-0236-7239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synapses, the core components of neuronal circuits, rely on precise ultrastructural and molecular organization to facilitate quantal transmission and plasticity, which underpin brain information processing and storage. Cryo-electron tomography (cryo-ET) has emerged as a powerful tool for elucidating the nanoscale architecture of synapses, yet prior studies have largely focused on synaptic vesicles and postsynaptic receptors, leaving other critical components underexplored. Here, we employed cryo-ET to quantitatively analyze subcellular features across over 300 intact hippocampal synapses, revealing: (1) A significant proportion of excitatory synapses (32%) localized to dendritic shafts, while a relatively high proportion of inhibitory synapses targeted dendritic spines (35%), with synaptic clefts displaying four distinct geometries; (2) Diverse structures, including dense core vesicles, membraneless dense granules, and empty clathrin cages were enriched within presynaptic boutons; (3) Mitochondria prevalent in both pre- and postsynaptic regions, showing higher abundance of mitochondrial matrix granules postsynaptically. These findings provide a comprehensive view of the structural organization within hippocampal synapses and suggest fundamental principles governing their subcellular architecture.

Indexed as

Electron Microscope TomographyHippocampusSynapsesAnimalsCryoelectron MicroscopyDendritic SpinesMaleMitochondriaPresynaptic TerminalsRatsRats, Sprague-DawleySynaptic VesiclesClathrin cagesCryo-electron tomographyDense core vesiclesDense granulesMitochondrial matrix granulesNeuronal synapses

Identifiers

PMID41491937
PMCPMC13031574

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.