Suppr超能文献

愈合皮肤伤口中不同p63变体的表达表明p63在表皮再生和肌肉修复中发挥作用。

Expression of different p63 variants in healing skin wounds suggests a role of p63 in reepithelialization and muscle repair.

作者信息

Bamberger Casimir, Hafner Annina, Schmale Hartwig, Werner Sabine

机构信息

Institute of Cell Biology, Department of Biology, ETH Zürich, Zürich, Switzerland.

出版信息

Wound Repair Regen. 2005 Jan-Feb;13(1):41-50. doi: 10.1111/j.1067-1927.2005.130106.x.

Abstract

Healing of skin wounds in mammals involves partial reconstruction of the dermis and coverage of the injured site by keratinocytes. The latter process is achieved by extensive migration and hyperproliferation of keratinocytes at the wound rim. Because the p53 protein family member p63 is expressed in human hyperproliferative epidermis, this study determined whether enhanced keratinocyte proliferation correlates with the expression of p63. Therefore, we investigated the temporal and spatial distribution of four major variants of the p63 transcription factor-TAp63alpha, TAp63gamma, DeltaNp63alpha and DeltaNp63gamma-during normal skin wound healing in mice. Transcripts encoding amino-terminally truncated DeltaNp63 variants were found at high levels in basal and suprabasal keratinocytes of the hyperproliferative wound epithelium. Interestingly, TAp63 variants, which include the conserved transactivation domain TA at their amino-terminus, were also expressed in wound keratinocytes as well as at the edge of the injured subcutaneous muscle panniculus carnosus. These findings suggest splice-variant specific functions of p63 in reepithelialization and muscle repair.

摘要

哺乳动物皮肤伤口的愈合涉及真皮的部分重建以及角质形成细胞对损伤部位的覆盖。后一过程是通过伤口边缘角质形成细胞的广泛迁移和过度增殖来实现的。由于p53蛋白家族成员p63在人类过度增殖的表皮中表达,本研究确定角质形成细胞增殖增强是否与p63的表达相关。因此,我们研究了p63转录因子的四个主要变体——TAp63α、TAp63γ、ΔNp63α和ΔNp63γ——在小鼠正常皮肤伤口愈合过程中的时空分布。在过度增殖的伤口上皮的基底和基底上层角质形成细胞中发现高水平编码氨基末端截短的ΔNp63变体的转录本。有趣的是,TAp63变体在其氨基末端包含保守的反式激活结构域TA,也在伤口角质形成细胞以及受伤的皮下肌肉 panniculus carnosus边缘表达。这些发现表明p63在再上皮化和肌肉修复中具有剪接变体特异性功能。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验