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相关概念视频

RNA-seq03:21

RNA-seq

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 microarray-based...
Ribosome Profiling02:24

Ribosome Profiling

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 helps...

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相关实验视频

Updated: Jun 28, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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导航单细胞RNA测序:协议,工具,数据库和应用程序

Ankish Arya1, Prabhat Tripathi1, Nidhi Dubey1

  • 1Department of Applied Sciences, Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj, 211015, Uttar Pradesh, India.

Genomics & informatics
|May 17, 2025
PubMed
概括
此摘要是机器生成的。

单细胞RNA测序 (scRNA-seq) 通过分析细胞异质性来彻底改变生物学. 本综述详细介绍了scRNA-seq方法,挑战和在药物发现和个性化医学等领域的应用.

关键词:
细胞异质性 细胞异质性数据库 数据库就是数据库.药物发现 药物发现协议和工具 协议和工具单细胞RNA测序的一个细胞.

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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Last Updated: Jun 28, 2026

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科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 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) 能够对细胞异质性的详细分析.
  • 它提供了前所未有的洞察力,在单个细胞层面的生物系统.
  • 在数据分析,解释和多学科集成方面存在挑战.

研究的目的:

  • 审查scRNA-seq.q.的复杂性和优化策略.
  • 讨论当前的单细胞数据库和分析工具.
  • 探索scRNA-seq.q.的各种应用和案例研究.

主要方法:

  • 对scRNA-seq协议和分析方法的综合文献综述.
  • 探索创新技术,以提高单细胞分辨率和精度.
  • 分析scRNA-seq在各种生物和医学领域的应用.

主要成果:

  • 识别scRNA-seq数据分析和集成中的关键挑战.
  • 用于scRNA-seq分析的可用工具和数据库的概述.
  • 在药物发现,瘤微环境研究,生物标志物发现和微生物分析中证明scRNA-seq的实用性.

结论:

  • scRNA-seq对于推进个性化医学和理解复杂的生物系统至关重要.
  • 优化scRNA-seq方法对于最大限度地发挥其潜力至关重要.
  • 该技术有助于发现新型和罕见的细胞类型,增强生物洞察力.