Spine nanostructure profiling of cultured neurons from mouse models reveals a schizophrenia-linked role for Ecrg4.
Overview
- Department of Cellular Neurobiology, Graduate School of Medicine, The University of Tokyo Tokyo Japan
- Graduate School of Information Science, University of Hyogo Kobe Japan
- National Institute for Physiological Sciences (NIPS), National Institutes of Natural Sciences Okazaki Japan
- Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences Okazaki Japan
- Laboratory of Animal Resources, Center for Disease Biology and Integrated Medicine, Graduate School of Medicine, The University of Tokyo Tokyo Japan
- Department of Bioscience, Faculty of Life Sciences, Tokyo University of Agriculture Tokyo Japan
- Laboratory for Imaging Neural Dynamics, RIKEN Center for Brain Science Saitama Japan
Abstract
Dendritic spine dysfunction may contribute to the etiology and symptom expression of neuropsychiatric disorders. The intimate relationship between spine morphology and function suggests that decoding disease-related abnormalities from spine morphology can aid in developing synapse-targeted interventions. Here, we describe a population analysis of dendritic spine nanostructure applied to the objective grouping of multiple mouse models of neuropsychiatric disorders. This method has identified two major groups of spine phenotypes linked to schizophrenia and autism spectrum disorder (ASD). An increase in spine subpopulation with small volumes characterized the spines of schizophrenia-associated
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper links to its data, not to its authors' code: see the Data section.
Code availability
The original code for SIM image processing is available at https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none, so it has no map.
Data
Datasets cited
- zenodo:21073564 — at Zenodo; found in “Data availability”
Data availability
The original code for SIM image processing is available at https://
The following dataset was generated:
KashiwagiY QingruiL YasuhiroG RyoS AtsuA TakanobuN ShigeoO 2026Spine nanostructure profiling of cultured neurons from mouse models reveals a schizophrenia-linked role for Ecrg4Zenodo10.5281/
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 7 authors, 7 keywords, 7 MeSH terms, 4 funders, 66 references, 18 RRIDs.
Cite
This paper
Kashiwagi, Y., Liu, Q., Go, Y., Saito, R., Aiba, A., Nakazawa, T., & Okabe, S. (2026). Spine nanostructure profiling of cultured neurons from mouse models reveals a schizophrenia-linked role for Ecrg4. eLife, 14, RP109083. https://
BibTeX
@article{kashiwagi2026sp
author = {Kashiwagi, Yutaro and Liu, Qingrui and Go, Yasuhiro and Saito, Ryo and Aiba, Atsu and Nakazawa, Takanobu and Okabe, Shigeo},
title = {{Spine nanostructure profiling of cultured neurons from mouse models reveals a schizophrenia-linked role for Ecrg4}},
journal = {eLife},
year = {2026},
month = aug,
volume = {14},
pages = {RP109083},
publisher = {eLife Sciences Publications, Ltd},
issn = {2050-084X},
doi = {10.7554/
url = {https://
pmid = {42576600},
pmcid = {PMC13461148}
}
RIS
TY - JOUR
AU - Kashiwagi, Yutaro
AU - Liu, Qingrui
AU - Go, Yasuhiro
AU - Saito, Ryo
AU - Aiba, Atsu
AU - Nakazawa, Takanobu
AU - Okabe, Shigeo
TI - Spine nanostructure profiling of cultured neurons from mouse models reveals a schizophrenia-linked role for Ecrg4
T2 - eLife
J2 - eLife
PY - 2026
DA - 2026/
VL - 14
SP - RP109083
SN - 2050-084X
PB - eLife Sciences Publications, Ltd
DO - 10.7554/
UR - https://
LA - en
ER -
CSL-JSON
{
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"language": "en",
"issued": {
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