JOURNAL ARTICLE
An in vitro nevus explant model for studying the effects of ultraviolet radiation.
Published In: Pigment Cell & Melanoma Research, 2024, v. 37, n. 6. P. 762 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Wang, Rui; Feng, Jianglong; Zhang, Wei; Wang, Yu; Lu, Hongguang; Zeng, Wen 3 of 3
Abstract
Ultraviolet radiation (UVR) has been recognized as a potential trigger for the transformation of benign melanocytic nevi into melanoma. However, the mechanisms governing the formation and progression of melanocytic nevi remain poorly understood. This lack of understanding is partly due to the difficulty in isolating and culturing nevus tissues in vitro, resulting in a dearth of robust ex vivo models for nevi. Therefore, the establishment of a reliable melanocytic nevus model is imperative. Such a model is essential for elucidating nevus pathogenesis and facilitating the development of effective therapeutic interventions. Therefore, we have sought to establish an ex vivo nevus explant model to study UVR stimulation. And the structural integrity and tissue activity of the ex vivo nevi explant model was evaluated. We then observed melanogenesis and proliferation activity of the explants after UVR stimulation. There was less blister formation after Day 3 in nevi explants under our modified medium conditions. The nevi explant was able to maintain almost the same morphological structure and tissue activity as in vivo tissue within 24 h. Following UVR stimulation, we observed increased melanogenesis and proliferation activity in nevi explants. Nevi explants could serve as an ex vivo model for UVR‐induced nevi stimulation research. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Pigment Cell & Melanoma Research. 2024/11, Vol. 37, Issue 6, p762
- Document Type:Article
- Subject Area:Earth and Atmospheric Sciences
- Publication Date:2024
- ISSN:1755-1471
- DOI:10.1111/pcmr.13173
- Accession Number:180520601
- Copyright Statement:Copyright of Pigment Cell & Melanoma Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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