Evidence map›Paper›PMID 35408934›Full record

ArticleInternational journal of molecular sciences2022

Expansion-Based Clearing of Golgi-Cox-Stained Tissue for Multi-Scale Imaging.

Qing-Hong Shan, Xin-Ya Qin, Jiang-Ning Zhou

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

3 authors at 2 institutions in 1 country.

Qing-Hong ShanChinese Academy of Science Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China.
Xin-Ya QinChinese Academy of Science Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China.
Jiang-Ning ZhouChinese Academy of Science Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China.
University of Science and Technology of China · CNCenter for Excellence in Brain Science and Intelligence Technology · CN

Funding

National Key R&D Program of China 2016YFC1305900National Natural Science Foundation of China 91432305National Natural Science Foundation of China 91732304Strategic Priority Research Program of the Chinese Academy of Sciences XDB02030001
6 · The paper itself

Abstract

Obtaining fine neuron morphology and connections data is extraordinarily useful in understanding the brain's functionality. Golgi staining is a widely used method for revealing neuronal morphology. However, Golgi-Cox-stained tissue is difficult to image in three dimensions and lacks cell-type specificity, limiting its use in neuronal circuit studies. Here, we describe an expansion-based method for rapidly clearing Golgi-Cox-stained tissue. The results show that 1 mm thick Golgi-Cox-stained tissue can be cleared within 6 hours with a well preserved Golgi-Cox-stained signal. At the same time, we found for the first time that the cleared Golgi-Cox-stained samples were compatible with three-dimensional (3D) immunostaining and multi-round immunostaining. By combining the Golgi-Cox staining with tissue clearing and immunostaining, Golgi-Cox-stained tissue could be used for large-volume 3D imaging, identification of cell types of Golgi-Cox-stained cells, and reconstruction of the neural circuits at dendritic spines level. More importantly, these methods could also be applied to samples from human brains, providing a tool for analyzing the neuronal circuit of the human brain.

Indexed as

Golgi ApparatusNeuronsBrainHumansImaging, Three-DimensionalStaining and Labeling3D visualizationGolgi-Cox stainimmunostainmulti-round immunostaintissue clearing

Identifiers

PMID35408934
PMCPMC8998187
OpenAlexW4221007311

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.