Genetically encoded tools for Cell–Cell interactions underlying brain connectivity

<h2>Abstract</h2> Brain development and function depend on complex yet organized neural networks and efficient communication between the neurons that form these networks. To understand the role of neural networks and communication between neurons, it is important to visualize interactions between neurons. In this review, we provide a comprehensive overview of visualization tools for cell–cell interactions, especially among neurons. We first introduce tools based on fluorescent protein technology that directly visualize cell–cell interactions, categorized into three different mechanisms: split fluorescent protein (split FP), dimerization-dependent fluorescent protein (ddFP), and Förster resonance energy transfer (FRET). Each type offers distinct advantages in terms of temporal resolution, reversibility, and spatial specificity, making them suitable for different experimental contexts within neural networks. Next, we introduce tools that indirectly visualize cell–cell interactions, based on a reporter system. Finally, we present several tools based on other mechanisms. By systematically comparing the performance and applicability of each tool, we provide a strategic framework for selecting appropriate tools based on experimental goals, ranging from short-lived synaptic interactions to long-term network connectivity studies.

Authors

Institutions

Publication Details

Journal
Brain Organoid and Systems Neuroscience Journal
Published
2025-06-06
DOI
https://doi.org/10.1016/j.bosn.2025.06.002
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetically encoded tools for Cell–Cell interactions underlying brain connectivity

Takashi Kanadome, Takeharu Nagai, Natsumi Hoshino, Takeshi Yagi
Brain Organoid and Systems Neuroscience Journal
Cell Image Analysis Techniques
article

Genetically encoded tools for Cell–Cell interactions underlying brain connectivity

Takashi Kanadome, Takeharu Nagai, Natsumi Hoshino, Takeshi Yagi
article en

Abstract

<h2>Abstract</h2> Brain development and function depend on complex yet organized neural networks and efficient communication between the neurons that form these networks. To understand the role of neural networks and communication between neurons, it is important to visualize interactions between neurons. In this review, we provide a comprehensive overview of visualization tools for cell–cell interactions, especially among neurons. We first introduce tools based on fluorescent protein technology that directly visualize cell–cell interactions, categorized into three different mechanisms: split fluorescent protein (split FP), dimerization-dependent fluorescent protein (ddFP), and Förster resonance energy transfer (FRET). Each type offers distinct advantages in terms of temporal resolution, reversibility, and spatial specificity, making them suitable for different experimental contexts within neural networks. Next, we introduce tools that indirectly visualize cell–cell interactions, based on a reporter system. Finally, we present several tools based on other mechanisms. By systematically comparing the performance and applicability of each tool, we provide a strategic framework for selecting appropriate tools based on experimental goals, ranging from short-lived synaptic interactions to long-term network connectivity studies.

Brain Organoid and Systems Neuroscience JournalVol. 3
National Institute for Basic Biology (JP), Mie University (JP), Japan Science and Technology Agency (JP), Midorigaoka Hospital (JP), The University of Osaka (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Precursory Research for Embryonic Science and Technology
Openalex Percentile: Top 90%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.