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相关概念视频

RNA Splicing01:32

RNA Splicing

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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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Alternative RNA Splicing02:18

Alternative RNA Splicing

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Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Genetic Variation01:25

Genetic Variation

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
258
Exon Recombination02:32

Exon Recombination

3.5K
The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon...
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相关实验视频

Updated: Jun 5, 2025

Merging Absolute and Relative Quantitative PCR Data to Quantify STAT3 Splice Variant Transcripts
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替代拼接诱导了基因对基因相关性的样本水平变化.

Yihao Lu1, Brandon L Pierce1,2, Pei Wang3

  • 1Department of Public Health Sciences, University of Chicago, 5841 South Maryland Ave, MC2000, Chicago, IL, 60637, USA.

BMC genomics
|December 10, 2024
PubMed
概括

基因拼接变异影响基因表达相关性,影响基因相互作用方式. 考虑到这些拼接表达相互作用,可以提高基因共同表达分析的准确性,特别是在批量组织数据中.

关键词:
另一个替代拼接.基因基因相关性异形异形是什么意思?样本级别的变化变化总体表达方式 总体表达方式

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科学领域:

  • 基因组学就是基因组学.
  • 文字转录学 (Transcriptomics) 是一个学科.
  • 生物信息学是一种生物信息学.

背景情况:

  • 大多数基因都是多异构的,并经历替代拼接,产生各种mRNA异构.
  • 不同的单元形式可以具有不同的表达水平和功能角色.
  • 大量组织RNA测序 (RNA-seq) 量化了跨同位体和细胞类型的总基因表达 (TE).

研究的目的:

  • 为了研究替代拼接变化的基因对基因相关性的影响.
  • 开发一种分析基因-基因相关性的方法,以解释拼接效应.

主要方法:

  • 利用差异组件模型测试共同表达的基因之间的TE-TE相关性.
  • 将拼接变化和拼接-通过-TE交互效应纳入模型.
  • 分析了基因型-组织表达 (GTEx) 项目的数据 (V8).

主要成果:

  • 在GTEx肺组织中确定了38,146个显著的TE-拼接相互作用基因对.
  • 在13个GTEx脑组织中观察到TE-拼接相互作用效应的强烈组织特异性.
  • 证明,对拼接变化的计算提高了结果的可复制性,并减少了在散装组织数据分析中的混.

结论:

  • 剪接变异与总基因表达 (TE) 相互作用,影响共同表达的基因,并导致基因与基因相关性的组织特异性变异.
  • 考虑TE-拼接相互作用效应可以提高稳定性,并减少从批量组织表达数据中对基因相关性估计的混.