Welham Nathan V, Ling Changying, Dawson John A, Kendziorski Christina, Thibeault Susan L, Yamashita Masaru
Department of Surgery, Division of Otolaryngology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA
Department of Surgery, Division of Otolaryngology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Dis Model Mech. 2015 Mar;8(3):311-21. doi: 10.1242/dmm.018366. Epub 2015 Jan 15.
The vocal fold (VF) mucosa confers elegant biomechanical function for voice production but is susceptible to scar formation following injury. Current understanding of VF wound healing is hindered by a paucity of data and is therefore often generalized from research conducted in skin and other mucosal systems. Here, using a previously validated rat injury model, expression microarray technology and an empirical Bayes analysis approach, we generated a VF-specific transcriptome dataset to better capture the system-level complexity of wound healing in this specialized tissue. We measured differential gene expression at 3, 14 and 60 days post-injury compared to experimentally naïve controls, pursued functional enrichment analyses to refine and add greater biological definition to the previously proposed temporal phases of VF wound healing, and validated the expression and localization of a subset of previously unidentified repair- and regeneration-related genes at the protein level. Our microarray dataset is a resource for the wider research community and has the potential to stimulate new hypotheses and avenues of investigation, improve biological and mechanistic insight, and accelerate the identification of novel therapeutic targets.
声带（VF）黏膜赋予发声优雅的生物力学功能，但受伤后易形成瘢痕。目前对VF伤口愈合的理解因数据匮乏而受到阻碍，因此常从皮肤和其他黏膜系统的研究中进行概括。在此，我们使用先前验证的大鼠损伤模型、表达微阵列技术和经验贝叶斯分析方法，生成了一个VF特异性转录组数据集，以更好地捕捉这种特殊组织中伤口愈合的系统级复杂性。与未经实验处理的对照相比，我们在损伤后3天、14天和60天测量了差异基因表达，进行功能富集分析以完善并为先前提出的VF伤口愈合时间阶段增添更多生物学定义，并在蛋白质水平验证了一组先前未鉴定的与修复和再生相关基因的表达和定位。我们的微阵列数据集是广大研究群体的资源，有潜力激发新的假设和研究途径，改善生物学和机制方面的认识，并加速新型治疗靶点的识别。
