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相关概念视频

RNA-seq03:21

RNA-seq

9.9K
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...
9.9K
Ribosome Profiling02:24

Ribosome Profiling

3.5K
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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Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

902
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
902
What is Gene Expression?01:42

What is Gene Expression?

167.5K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
167.5K

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相关实验视频

Updated: Jun 28, 2025

Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing
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Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing

Published on: October 12, 2018

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scINRB:单细胞基因表达归算与网络规范化和大量RNA-seq数据.

Yue Kang1, Hongyu Zhang1, Jinting Guan1,2

  • 1Department of Automation, Xiamen University, Xiamen, Fujian, China.

Briefings in bioinformatics
|April 11, 2024
PubMed
概括

scINRB准确地归因于单细胞RNA测序数据中的基因表达,通过利用网络规范化和大量RNA测序数据来克服脱落事件. 这可以改善细胞类型识别和功能分析.

科学领域:

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

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 对于研究细胞异质性和构建细胞图谱至关重要.
  • 在scRNA-seq数据中,脱落事件 (零基因表达) 引入了偏差,阻碍了准确的细胞类型和功能表征.
  • 现有的归算方法通常在各种数据集和场景中显示出低于最佳的性能.

研究的目的:

  • 为单细胞基因表达数据开发一个准确和强大的归算方法.
  • 为了保持原始的细胞-细胞和基因-基因相关性.
  • 为了整合大量RNA测序 (大量RNA-seq) 数据信息.

主要方法:

  • 提出了scINRB,这是一种利用网络规范化的非负矩阵因数分解的新型归算方法.
  • 保证的归算数据保持了细胞对细胞和基因对基因的相似性.
  • 整合了大量的RNA-seq数据,以近似平均基因表达.

主要成果:

  • scINRB证明了精确的基因表达恢复,即使在高脱学率和数据尺寸.
  • 该方法有效地保留了细胞-细胞和基因-基因相似性.
  • 在下游分析 (如可视化,聚类和轨迹推断) 中观察到显著的改善.
关键词:
大量的RNA-seq数据.归算是指指责一个人.网络规范化 网络规范化非负矩阵因子化的非负矩阵因子化.一个单元格表达数据的表达数据.

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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

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相关实验视频

Last Updated: Jun 28, 2025

Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing
06:38

Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing

Published on: October 12, 2018

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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

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结论:

  • scINRB为单细胞基因表达赋定提供了一个强大的解决方案.
  • 该方法提高了scRNA-seq数据分析的可靠性.
  • scINRB可以更准确地识别细胞类型和功能特征.