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相关概念视频

Morphogenesis02:19

Morphogenesis

Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
Microbial Morphologies01:29

Microbial Morphologies

Bacterial and archaeal cells exhibit remarkable diversity in shape and structure, critical in their adaptability and functionality. Among bacteria, the most commonly observed shapes include cocci and bacilli. Cocci are spherical and may exist singly or in groupings such as pairs (diplococci), chains (streptococci), clusters (staphylococci), or tetrads. Bacilli, in contrast, are rod-shaped and can also occur as single cells, in pairs, or chains, depending on their environmental and genetic...

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Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
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MorphoITH:一个框架,使用组织形态学来解脱瘤内部异质性.

Aleksandra Weronika Nielsen1, Hafez Eslami Manoochehri1,2, Hua Zhong1,3

  • 1Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Genome medicine
|September 19, 2025
PubMed
概括

MorphoITH从病理学幻灯片中量化瘤细胞多样性,提供一种可扩展的方式来了解癌症进化和瘤内异质性 (ITH). 这种方法反映了基因变化,为精确瘤学铺平了道路.

关键词:
人工智能的人工智能是人工智能.在CcRCCCC中,CcRCC是最重要的.深度学习是一种深度学习.数字病理学数字病理学组织病理学 组织病理学瘤内部的异质性脏癌症是什么? 脏癌症是什么瘤的进化过程瘤形态学 瘤形态学

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科学领域:

  • 在瘤学瘤学.
  • 计算病理学计算病理学
  • 基因组学就是基因组学.

背景情况:

  • 瘤演变和瘤内部异质性 (ITH) 驱动癌症的攻击性.
  • 多区域测序对于研究ITH来说是昂贵且可扩展性有限的.
  • 需要可访问的方法来分析瘤演变.

研究的目的:

  • 开发一种新的框架,MorphoITH,用于从组织病理学幻灯片中推断分子ITH.
  • 量化表型多样性作为遗传ITH的代理.
  • 为了使瘤进化在临床环境中的可扩展分析.

主要方法:

  • 开发了MorphoITH,这是一个整合自我监督深度学习的框架,用于表型变异分析.
  • 在细胞学,建筑和微环境中量化了形态多样性.
  • 采用严格的方法来消除虚假的变异来源.

主要成果:

  • MorphoITH成功捕获了清细胞细胞癌 (ccRCC) 的临床显著特征,包括血管架构和核等级.
  • 鉴定了与驱动基因 (BAP1,PBRM1,SETD2) 中的亚克隆性改变相关的形态变化.
  • 在多区域测序数据中,MorphoITH的形态轨迹与潜在的遗传进化模式相关.

结论:

  • 形态ITH提供了一种可扩展和严格的方法来量化形态ITH.
  • 形态ITH作为遗传ITH和瘤进化的潜在代理.
  • 这种方法将基因组病理学与基因组洞察力联系起来,用于在精确瘤学中增强表型分析.