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使用整合与正交数字病理学方法对胸腺上皮细胞(TEC)网络进行形态计量分析。

Morphometric Analysis of the Thymic Epithelial Cell (TEC) Network Using Integrated and Orthogonal Digital Pathology Approaches.

作者信息

Lagou Maria K, Argyris Dimitrios G, Vodopyanov Stepan, Gunther-Cummins Leslie, Hardas Alexandros, Poutahidis Theofilos, Panorias Christos, DesMarais Sophia, Entenberg Conner, Carpenter Randall S, Guzik Hillary, Nishku Xheni, Churaman Joseph, Maryanovich Maria, DesMarais Vera, Macaluso Frank P, Karagiannis George S

机构信息

Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.

Tumor Microenvironment and Metastasis Program, Montefiore-Einstein Comprehensive Cancer Center, Bronx, NY, USA.

出版信息

bioRxiv. 2024 Mar 14:2024.03.11.584509. doi: 10.1101/2024.03.11.584509.

Abstract

The thymus, a central primary lymphoid organ of the immune system, plays a key role in T cell development. Surprisingly, the thymus is quite neglected with regards to standardized pathology approaches and practices for assessing structure and function. Most studies use multispectral flow cytometry to define the dynamic composition of the thymus at the cell population level, but they are limited by lack of contextual insight. This knowledge gap hinders our understanding of various thymic conditions and pathologies, particularly how they affect thymic architecture, and subsequently, immune competence. Here, we introduce a digital pathology pipeline to address these challenges. Our approach can be coupled to analytical algorithms and utilizes rationalized morphometric assessments of thymic tissue, ranging from tissue-wide down to microanatomical and ultrastructural levels. This pipeline enables the quantitative assessment of putative changes and adaptations of thymic structure to stimuli, offering valuable insights into the pathophysiology of thymic disorders. This versatile pipeline can be applied to a wide range of conditions that may directly or indirectly affect thymic structure, ranging from various cytotoxic stimuli inducing acute thymic involution to autoimmune diseases, such as myasthenia gravis. Here, we demonstrate applicability of the method in a mouse model of age-dependent thymic involution, both by confirming established knowledge, and by providing novel insights on intrathymic remodeling in the aged thymus. Our orthogonal pipeline, with its high versatility and depth of analysis, promises to be a valuable and practical toolset for both basic and translational immunology laboratories investigating thymic function and disease.

摘要

胸腺是免疫系统的一个中枢性初级淋巴器官,在T细胞发育中起关键作用。令人惊讶的是,在评估结构和功能的标准化病理学方法和实践方面,胸腺相当被忽视。大多数研究使用多光谱流式细胞术在细胞群体水平定义胸腺的动态组成,但它们受到缺乏背景洞察力的限制。这一知识差距阻碍了我们对各种胸腺疾病和病理状况的理解,特别是它们如何影响胸腺结构,以及随后的免疫能力。在此,我们引入一种数字病理学流程来应对这些挑战。我们的方法可以与分析算法相结合,并利用对胸腺组织的合理形态计量评估,范围从整个组织层面到微观解剖和超微结构层面。这个流程能够对胸腺结构的假定变化和对刺激的适应性进行定量评估,为胸腺疾病的病理生理学提供有价值的见解。这个多功能流程可应用于广泛的可能直接或间接影响胸腺结构的状况,从各种诱导急性胸腺萎缩的细胞毒性刺激到自身免疫性疾病,如重症肌无力。在此,我们通过确认已有的知识以及提供关于老年胸腺内重塑的新见解,证明了该方法在年龄依赖性胸腺萎缩小鼠模型中的适用性。我们的正交流程具有高度的通用性和分析深度,有望成为基础和转化免疫学实验室研究胸腺功能和疾病的有价值且实用的工具集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b85/10979902/b1f64bd2657d/nihpp-2024.03.11.584509v1-f0001.jpg

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