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相关概念视频

What is Gene Expression?01:42

What is Gene Expression?

196.7K
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...
196.7K
What is Gene Expression?01:36

What is Gene Expression?

11.4K
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...
11.4K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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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...
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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

24.8K
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...
24.8K
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 4, 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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使用语义搜索来找到公开可用的基因表达数据集.

Grace S Brown1, James Wengler1,2, Aaron Joyce S Fabelico1

  • 1Department of Biology, Brigham Young University, Provo, Utah United States.

Bioinformatics (Oxford, England)
|February 2, 2026
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概括

语言模型可以通过将描述总结成嵌入式来改善相关科学数据集的发现. 这种方法往往优于传统的搜索引擎,在像Gene Expression Omnibus (GEO) 这样的存储库中找到类似的分子数据.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 数据科学数据科学数据科学

背景情况:

  • 数以百万计的高通量分子数据集公开可用,但由于描述的不一致性和规模,找到相关的数据集是具有挑战性的.
  • 发现相关数据集对于数据的再利用和验证至关重要,但像基因表达总汇 (GEO) 这样的存储库中的当前方法耗时,可能会错过重要的数据.
  • 这一挑战直接影响了FAIR数据原则,强调需要改进数据集发现机制.

研究的目的:

  • 评估语言模型在增强基因表达总量 (GEO) 存储库中的数据集发现方面的有效性.
  • 确定语言模型生成的嵌入是否可以比现有的搜索工具更有效地识别相关数据集.
  • 探索自然语言处理技术的潜力,以改善对大规模分子数据的访问.

主要方法:

  • 利用30种不同的语言模型来生成从基因表达总量 (GEO) 的数据集描述的数值表示 (嵌入).
  • 专注于六种人类医疗条件,使用由人类策划的数据集作为参考.
  • 将基于语言模型的相似性搜索与 GEO 的原生搜索引擎的性能进行比较,以找到相关数据集.

主要成果:

  • 语言模型,特别是那些在使用大嵌入的对比学习进行一般 corpora 训练的语言模型,与 GEO 的搜索相比,往往改善了数据集的发现.
  • 该方法成功地确定了针对特定疾病的其他相关数据集.
  • 虽然有效,但语言模型方法在所有测试的场景中并不普遍优于现有的搜索方法.

结论:

  • 语言模型显示了通过提供语义总结 (嵌入) 来增强科学数据集的发现的巨大潜力.
  • 这种方法可以补充现有的搜索工具,提供一种更有效的方法来找到相关的分子数据.
  • 进一步开发和整合语言模型可以大大提高数据的可访问性和科学研究中的重用.