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相关概念视频

What is Gene Expression?01:42

What is Gene Expression?

197.0K
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...
197.0K
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
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

10.0K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.0K
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
Organization of Genes02:07

Organization of Genes

73.7K
Overview
73.7K

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相关实验视频

Updated: Feb 12, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

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来自小RNA测序的编码基因表达的分析.

Aygun Azadova1, Anthonia Ekperuoh1, Greg N Brooke2

  • 1School of Life Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.

Genome research
|February 10, 2026
PubMed
概括
此摘要是机器生成的。

小RNA测序 (sRNA-seq) 可以量化蛋白质编码基因表达,使微RNA基因调控网络分析即使没有总RNA-seq. 这种方法可靠地从sRNA-seq数据中推断基因表达,这对于癌症研究至关重要.

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Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
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Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

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相关实验视频

Last Updated: Feb 12, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

41.6K
Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

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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:

  • 数以千计的小RNA测序 (sRNA-seq) 研究存在,但往往缺乏匹配的总RNA测序数据.
  • 这种数据缺口阻碍了对微RNA基因调节网络的全面分析.

研究的目的:

  • 调查从sRNA-seq数据直接量化蛋白质编码基因表达的可行性.
  • 评估这种方法对微RNA-mRNA相互作用分析的可靠性.

主要方法:

  • 分析了来自四个人体组织的匹配总RNA-seq和sRNA-seq数据.
  • 从sRNA-seq数据集中恢复和量化蛋白质编码基因转录.
  • 在乳腺癌数据集中与qPCR数据对比验证的推断编码基因表达.

主要成果:

  • 来自sRNA-seq的蛋白质编码基因表达水平与总RNA-seq (R2 0.330.76) 相似.
  • 该方法在多种组织和物种中显示出一致的相关性.
  • 证明了微RNA和mRNA表达特征之间的反相关性,证实了已知的相互作用.
  • 在乳腺癌数据分析中实现了75%的回忆率和64%的准确性.

结论:

  • 从sRNA-seq中量化mRNA片段是研究微RNA-mRNA相互作用的可靠方法,当总RNA-seq无法使用时.
  • 建议对≥25个核酸分数进行测序,读数为≥500万次,用于双重mRNA/miRNA分析.
  • 这种方法为基因组和转录组研究提供了有价值的工具,特别是在癌症研究中.