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相关概念视频

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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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一个可解释的多实例学习器从空间解析的转录组学解码了细胞招募.

Jia Yao1, Ji Seon Shim2, Kelly Wong3

  • 1Department of Epidemiology, Peter O'Donnell School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.

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科学领域:

  • *空间生物学和系统免疫学.
  • * 计算生物学和生物信息学.
  • * 细胞贩运和组织微环境的分子机制.

背景情况:

  • *研究细胞在组织微环境中的招募和参与是至关重要的,但与传统方法具有挑战性.
  • *对这些过程的全基因组分析需要先进的计算工具.
  • *空间解析转录组学 (SRT) 数据为此类调查提供了强大的资源.

研究的目的:

  • * 开发一种新的,可解释的深度学习模型来分析SRT数据.
  • * 研究瘤和心肌炎中肌和免疫细胞招募的机制.
  • * 揭示T细胞局部特征和疾病背景下的差异性反应.

主要方法:

  • *开发"Spacer",一个多实例的深度学习器,用于分析SRT数据的转录学和空间模式.
  • * 将Spacer应用于17个高清和20个低清SRT数据集.
  • *使用免疫组学,空间T细胞受体 (TCR) 测序和单细胞测序验证Spacer的发现.

主要成果:

  • *确定了促进T细胞向瘤招募的基因,用于B细胞和巨细胞招募的独特分子程序,以及由粘素介导的T细胞排斥.
  • *发现了T细胞内在的特征,控制了局部化,通过空间TCR-seq.验证.
  • * 显露的CD4+ T细胞在心肌炎中比CD8+ T细胞更具反应性,尽管数量较少.

结论:

  • * Spacer 提供了一个新的空间解析范式,用于研究细胞定位机制 *in situ*.
  • *研究从描述性绘图转向空间生物学中的机械学发现.
  • *研究结果为瘤和炎症性心脏病中的免疫细胞动态提供了新的见解.