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相关概念视频

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.6K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
16.6K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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5.6K
What is Gene Expression?01:42

What is Gene Expression?

197.1K
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...
197.1K
What is Gene Expression?01:36

What is Gene Expression?

11.6K
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
11.6K
Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

24.9K
Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
24.9K
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

6.7K
The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
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相关实验视频

Updated: Feb 13, 2026

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

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scSCC:一种基于交换对比学习的集群方法,用于单细胞基因表达数据.

Xiang Wang1, Sansheng Yang2, Hongwei Li1

  • 1School of Mathematics and Physics China University of Geosciences Wuhan China.

Quantitative biology (Beijing, China)
|February 12, 2026
PubMed
概括
此摘要是机器生成的。

我们介绍scSCC,这是一个用于单细胞RNA测序 (scRNA-seq) 数据分析的新算法. scSCC通过使用交换对比学习方法来增强细胞聚类,改善细胞类型识别.

关键词:
聚类集群是指聚类的聚类.相反的学习学习学习.一个单细胞RNA-seqq.交换了预测的预测.

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Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods
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Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
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Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

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相关实验视频

Last Updated: Feb 13, 2026

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods
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Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
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科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 数据科学数据科学数据科学

背景情况:

  • 细胞聚类对于在单细胞RNA测序 (scRNA-seq) 数据中识别细胞类型至关重要.
  • 精确的细胞聚类有助于下游细胞注释和生物解释.

研究的目的:

  • 为scRNA-seq数据开发一种新的对比集群算法.
  • 为了提高scRNA-seq分析中细胞聚类的准确性和稳定性.

主要方法:

  • 提出了scSCC,这是一个用于scRNA-seq数据的交换对比聚类算法.
  • 集成实例对比学习和交换预测模块来学习解的细胞表示.
  • 在交换预测模块中使用集群原型来注入集群信号.

主要成果:

  • 与现有方法相比,scSCC在真实scRNA-seq数据集上展示了较好的集群性能.
  • 废除研究证实了结合实例学习和交换预测模块的有效性.
  • 该算法通过鼓励对原型的趋同,产生了更多集群友好的细胞表示.

结论:

  • scSCC为scRNA-seq数据分析中的细胞聚类提供了一种强大的新方法.
  • 对比式学习模块的组合有效地增强了聚类信号.
  • 拟议的方法提供了更准确和可解释的细胞类型识别.