Evidence map›Paper›PMID 39390892›Full record

ReviewHistology and histopathology2025

Progress on three-dimensional visualizing skin architecture with multiple immunofluorescence staining and tissue-clearing approaches.

Yuqing Wang, Wanzhu Bai, Xiaoyu Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Histology and histopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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.

Yuqing WangInstitute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
Wanzhu BaiInstitute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
Xiaoyu WangInstitute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China. xiaorain_wang@hotmail.com.

Funding

Fundamental Research Funds for the Central public welfare research institutes ZZ-YC2023007Innovation Team and Talents Cultivation Program of the National Administration of Traditional Chinese Medicine ZYYCXTD-D-202202
6 · The paper itself

Abstract

The skin forms the external covering of the body and is its largest organ, comprising many different cell types. Although the diversity of these cells has been widely studied with various histological methods, our understanding of skin architecture is mainly established on thin tissue sections, which restricted the information available to two dimensions. The development of innovative techniques to induce optical transparency ("clearing") in biological tissues has enabled researchers to visualize the three-dimensional reconstruction of intact organs and thick tissue sections at a cellular resolution. With the aid of tissue-clearing treatment, the labeled cutaneous nerve fibers and blood vessels can be followed for a longer distance on the thicker skin section or the whole mount skin under a fluorescence microscopy or a confocal microscopy. It is beneficial for demonstrating the morphological characteristics of nerve fibers and blood vessels themselves, as well as their spatial interconnection. In this review, we provide a brief summary of the literature on the use of tissue optical clearing methods and describe our experience of multiple fluorescent staining and tissue clearing approaches on thicker skin sections and whole-mount skin in our laboratory. Given the existing conventional methods, we expected to provide a more effective approach to comprehensively study skin architecture.

Indexed as

Fluorescent Antibody TechniqueImaging, Three-DimensionalSkinAnimalsHumansMicroscopy, ConfocalMicroscopy, FluorescenceStaining and Labeling

Identifiers

PMID39390892

What OpenQuestion holds

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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.