空间转录组学：整合肾脏疾病的形态学和分子机制。

IF 4.7 2区医学 Q1 PATHOLOGY

American Journal of Pathology Pub Date : 2025-01-01 DOI:10.1016/j.ajpath.2024.06.012

Pierre Isnard , Benjamin D. Humphreys

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引用次数: 0

摘要

最近出现的高分辨率空间转录组学（ST）技术正在生命科学领域掀起一场名副其实的革命，使生物分子能够在其原生空间环境中进行测量。通过整合形态学和分子生物学，空间转录组学技术有可能提高人们对组织生物学和疾病的认识，并提供有意义的临床见解。在这篇综述中，我们将介绍目前可用的主要空间转录组学技术、用于数据解读和可视化的计算分析，并说明其在肾脏疾病方面的科学和潜在医学意义。最后，我们将讨论这些蓬勃发展的新技术的前景和挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Spatial Transcriptomics

The recent arrival of high-resolution spatial transcriptomics (ST) technologies is generating a veritable revolution in life sciences, enabling biomolecules to be measured in their native spatial context. By integrating morphology and molecular biology, ST technologies offer the potential of improving the understanding of tissue biology and disease and may also provide meaningful clinical insights. This review describes the main ST technologies currently available and the computational analysis for data interpretation and visualization, and illustrate their scientific and potential medical interest in the context of kidney disease. Finally, we discuss the perspectives and challenges of these booming new technologies.

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来源期刊

American Journal of Pathology 医学-病理学

CiteScore

11.40

自引率

0.00%

发文量

178

审稿时长

30 days

期刊介绍： The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.