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相关概念视频

Tumor Immunotherapy01:27

Tumor Immunotherapy

573
Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
573
RNA-seq03:21

RNA-seq

10.1K
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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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相关实验视频

Updated: Jul 24, 2025

Predictive Immune Modeling of Solid Tumors
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教程:使用RIMA对大量RNA测序数据进行综合计算分析,以表征瘤免疫力.

Lin Yang1, Jin Wang1,2, Jennifer Altreuter1

  • 1Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.

Nature protocols
|June 30, 2023
PubMed
概括
此摘要是机器生成的。

本教程简化了使用RNA测序 (RNA-seq) 数据进行瘤免疫表征. 它介绍了计算工具和RIMA管道,使复杂的分析可用于癌症研究.

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科学领域:

  • 在瘤学瘤学.
  • 生物信息学是一种生物信息学.
  • 免疫学 免疫学 免疫学

背景情况:

  • RNA测序 (RNA-seq) 是一种具有成本效益的方法,用于瘤分子概况和免疫特征.
  • 有许多计算工具用于分析癌症免疫学中的基因表达数据.
  • 分析大规模的RNA-seq数据需要重要的生物信息学专业知识和计算资源.

研究的目的:

  • 用大量RNA-seq数据提供瘤免疫特征计算分析的概述.
  • 引入与癌症免疫学和免疫治疗相关的基本计算工具.
  • 介绍RNA-seq IMmune Analysis (RIMA) 管道,以便进行简化分析,并提供一个用户友好的指南.

主要方法:

  • 对瘤免疫学中的大量RNA-seq计算分析策略的概述.
  • 介绍各种计算工具,用于评估表达特征,免疫透,免疫谱,免疫疗法反应预测,新抗原检测和微生物群量化.
  • 描述RIMA管道,整合多种工具,以实现高效的RNA-seq分析.

主要成果:

  • 里马管道整合了各种计算工具,用于全面的瘤免疫特征.
  • 有一个用户友好的GitBook指南和演示可用于在样本和队列层面分析RNA-seq数据.
  • 该教程旨在降低研究人员利用RNA-seq用于癌症免疫学研究的障碍.

结论:

  • 大量RNA-seq数据的计算分析对于理解瘤免疫力至关重要.
  • RIMA管道和附带的指南有助于从RNA-seq数据中进行可访问和高效的免疫表征.
  • 这种资源使研究人员能够利用RNA-seq来推进癌症免疫学和免疫治疗研究.