Evidence map›Paper›PMID 41273643›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Efficient Labeling of Somatodendritic Membranes of the Central Neurons.

Hiroshi Kameda, Shinichiro Okamoto, Masato Koike, Takahiro Furuta, Hiroyuki Hioki

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Article in Methods in molecular biology (Clifton, N.J.), 2026. 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
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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

5 authors.

Hiroshi KamedaDepartment of Cell Biology and Neuroscience, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Shinichiro OkamotoDepartment of Neuroanatomy, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Masato KoikeDepartment of Cell Biology and Neuroscience, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Takahiro FurutaDepartment of Oral Anatomy and Neurobiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Hiroyuki HiokiDepartment of Neuroanatomy, Juntendo University Graduate School of Medicine, Tokyo, Japan. h-hioki@juntendo.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal cells possess dendritic and axonal processes, and through these processes they form neuronal circuits in the brain. To elucidate the neuronal circuits, it is indispensable to visualize both the cell bodies of neurons as well as their processes. Although there are several methods for visualizing these processes, such as immunostaining and intracellular staining, labeling with recombinant virus vectors has become a powerful tool because reporter proteins can be expressed in infected cells. Among the available vectors, the lentivirus vector shows low cytotoxicity, and its genome can be integrated into the genome of infected cells, resulting in stable transgene expression. Using this vector, we previously developed a reporter protein anchored to the somatodendritic membranes of neurons. The reporter protein clearly visualizes the contours of dendritic shafts and spines, which preferentially receive excitatory synaptic inputs and show morphological changes associated with synaptic activity. In this chapter, the detailed protocol for the production, purification, and injection of lentivirus vectors is described. Subsequently, the clear visualization of dendritic spines of the neurons in the neocortex and caudate-putamen is demonstrated.

Indexed as

Cell MembraneDendritesNeuronsStaining and LabelingAnimalsGenetic VectorsHumansLentivirusMiceRatsDendrite-targeting signalMedium-sized spiny neuronMembrane-targeting signalNeuron-specific promoterPyramidal cellSpine

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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.