空间转录组学揭示口腔发病的组织复杂性

J Haller, N Abedi, A Hafedi, O Shehab, M S Wietecha
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引用次数: 0

摘要

空间转录组学(ST)是一种前沿方法,可同时分析组织学切片中的全局基因表达和空间信息。传统的转录组学方法缺乏必要的空间分辨率,无法充分研究疾病和健康组织状态下细胞区域之间复杂的相互关系。我们回顾了 ST 的一般工作流程,从标本处理到 ST 数据分析,以及使用可视化和细胞解卷积方法对 ST 数据集进行解读。我们展示了最近的研究如何利用 ST 来探索特定颅面部区域的发育或发病机制,包括颅骨、腭、唾液腺、舌、口底、口咽和牙周。利用 ST 对发育过程中的颅缝通畅性和腭部融合进行分析,确定了缝中骨形态发生蛋白的空间模式和腭部的成骨分化途径,此外还发现了颅面发育过程中在关键位置表达的几个基因。对斯约格伦病患者唾液腺的 ST 发现了自身免疫抗原与导管细胞的共定位,以及因自身免疫反应失调而特异性耗竭的尖突细胞亚群。对头颈部病变(如进展为口腔鳞状细胞癌的前恶性白斑、有神经周围侵犯的口腔癌以及与人乳头瘤病毒感染相关的口咽部病变)进行的 ST 分析对复杂的肿瘤微环境进行了空间剖析,显示了患者活检组织中肿瘤细胞分化、侵袭和非肿瘤细胞失调的重要功能基因特征。ST 还能定位牙龈组织中牙周疾病相关基因的表达特征,包括参与炎症的基因,并发现了一种介导牙周炎先天性免疫反应和适应性免疫反应之间转变的成纤维细胞亚型。越来越多地使用 ST,特别是与单细胞分析相结合,有望在空间和时间上以前所未有的组织级分辨率提高我们对颅面发育和发病机制的认识。
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Spatial Transcriptomics Unravel the Tissue Complexity of Oral Pathogenesis.

Spatial transcriptomics (ST) is a cutting-edge methodology that enables the simultaneous profiling of global gene expression and spatial information within histological tissue sections. Traditional transcriptomic methods lack the spatial resolution required to sufficiently examine the complex interrelationships between cellular regions in diseased and healthy tissue states. We review the general workflows for ST, from specimen processing to ST data analysis and interpretations of the ST dataset using visualizations and cell deconvolution approaches. We show how recent studies used ST to explore the development or pathogenesis of specific craniofacial regions, including the cranium, palate, salivary glands, tongue, floor of mouth, oropharynx, and periodontium. Analyses of cranial suture patency and palatal fusion during development using ST identified spatial patterns of bone morphogenetic protein in sutures and osteogenic differentiation pathways in the palate, in addition to the discovery of several genes expressed at critical locations during craniofacial development. ST of salivary glands from patients with Sjögren's disease revealed co-localization of autoimmune antigens with ductal cells and a subpopulation of acinar cells that was specifically depleted by the dysregulated autoimmune response. ST of head and neck lesions, such as premalignant leukoplakia progressing to established oral squamous cell carcinomas, oral cancers with perineural invasions, and oropharyngeal lesions associated with HPV infection spatially profiled the complex tumor microenvironment, showing functionally important gene signatures of tumor cell differentiation, invasion, and nontumor cell dysregulation within patient biopsies. ST also enabled the localization of periodontal disease-associated gene expression signatures within gingival tissues, including genes involved in inflammation, and the discovery of a fibroblast subtype mediating the transition between innate and adaptive immune responses in periodontitis. The increased use of ST, especially in conjunction with single-cell analyses, promises to improve our understandings of craniofacial development and pathogenesis at unprecedented tissue-level resolution in both space and time.

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Oral Health Research in the WHO African Region between 2011 and 2022: A Scoping Review. Advanced Imaging in Dental Research: From Gene Mapping to AI Global Data. A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia. Nuclear TOP1MT Confers Cisplatin Resistance via Pseudogene in HNSCC. Periodontitis and Diabetes Differentially Affect Inflammation in Obesity.
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