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相关概念视频

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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DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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相关实验视频

Updated: May 11, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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SciGeneX:通过检测单细胞和空间转录组学数据中的基因模块来增强转录分析.

Julie Bavais1,2, Jessica Chevallier1,2, Lionel Spinelli1,2

  • 1Aix-Marseille Univ, INSERM, TAGC, Turing Centre for Living systems, 13288 Marseille, France.

NAR genomics and bioinformatics
|April 18, 2025
PubMed
概括

新的R包SciGeneX通过观察基因组来分析基因表达,而不仅仅是单个基因. 这种方法揭示了单细胞和空间转录组学数据中的隐藏细胞种群,改善了对细胞多样性的理解.

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 目前的单细胞和空间转录组学分析通常使用基因为中心的方法.
  • 这忽略了基因的集体行为及其在细胞异质性中的作用.
  • 了解细胞种群需要将激活和抑制的途径集体分析.

研究的目的:

  • 介绍SciGeneX,一个用于分析单细胞和空间转录组学数据的R包.
  • 为了更广泛地了解基因行为,以便更准确地了解细胞异质性.
  • 为了发现罕见和新型细胞群.

主要方法:

  • SciGeneX实现了一个邻域分析和图形分区方法.
  • 它产生共同表达基因模块,反映细胞异质性.
  • 这些模块可以跨细胞群共享或特定于细胞群.

主要成果:

  • SciGeneX成功地发现了人类胸腺空间转录学数据中的罕见和新型细胞群.
  • 该套件在人工和实验数据集上都超过了现有的方法.
  • 基因模块的组合突出了特定的细胞群,包括罕见的细胞群.

结论:

  • SciGeneX为分析单细胞和空间转录组学数据提供了一种新的方法.
  • 它通过专注于基因模块,有助于解开细胞和分子多样性.
  • 该套件增强了细胞群的发现,并提高了对生物系统的理解.