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相关概念视频

RNA-seq03:21

RNA-seq

10.0K
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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Ribosome Profiling02:24

Ribosome Profiling

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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.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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相关实验视频

Updated: Jul 15, 2025

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
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Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Published on: July 18, 2019

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细胞类型特异性相互作用分析使用scRNA-seq中的双重组.

Courtney Schiebout1, Hannah Lust2, Yina Huang3

  • 1Department of Biomedical Data Science, Dartmouth College, Hanover, NH 03755, United States.

Bioinformatics advances
|September 25, 2023
PubMed
概括
此摘要是机器生成的。

单细胞RNA测序 (scRNA-seq) 中的双倍可以揭示细胞与细胞之间的相互作用. 我们的新方法CIcADA识别了这些具有生物意义的双胞胎,揭示了瘤微环境中的免疫反应基因升调.

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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科学领域:

  • 基因组学就是基因组学.
  • 免疫学 免疫学 免疫学
  • 生物信息学是一种生物信息学.

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 通常将双胞胎视为文物.
  • 然而,双胞胎可以代表真正的细胞相互作用,特别是并信号传递.
  • 这些相互作用在像瘤微环境这样的复杂组织中至关重要.

研究的目的:

  • 开发一个计算管道,用于识别和分析scRNA-seq数据中的生物相关双重体.
  • 为了利用双重来理解细胞间通信及其在疾病中的作用.

主要方法:

  • 开发了细胞类型特定的相互作用分析,使用scRNA-seq (CIcADA) 管道中的Doublet.
  • CIcADA使用多标签细胞类型得分来识别假定双胞胎.
  • 将已识别的双重体与合成双重体进行比较,以描述相互作用动态.

主要成果:

  • 在scRNA-seq瘤数据集中,CIcADA成功地确定了具有生物意义的双胞胎.
  • 确定的双胞胎始终显示出免疫反应基因的调节.
  • 这表明双胞胎可以作为免疫细胞相互作用和功能的指标.

结论:

  • 在scRNA-seq中的双子并非总是文物,并且可以提供有价值的生物学见解.
  • CIcADA提供了一种新的方法,通过双重来分析细胞间的通信.
  • 这种方法对理解瘤免疫学和识别预后指标有潜在的影响.