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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

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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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DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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RNA-seq03:21

RNA-seq

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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...
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What is Gene Expression?01:36

What is Gene Expression?

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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...
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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相关实验视频

Updated: Jun 7, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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解读基因表达模式,使用大规模的转录基因数据及其应用.

Shunjie Chen1, Pei Wang1,2, Haiping Guo1

  • 1School of Mathematics and Statistics, Henan University, Jinming Avenue, 475004, Kaifeng, China.

Briefings in bioinformatics
|November 14, 2024
PubMed
概括
此摘要是机器生成的。

基因表达模式在正常和癌症组织之间有很大差异,大多数基因不遵循正常分布. 这一发现影响了奥米克研究中的基因选择和样本分类.

关键词:
基因表达分布的分布基因选择 基因选择朴素的贝叶斯就是一个白痴.奥米克斯数据数据的数据.样本分类 样本分类 样本分类歪歪的 歪歪的 歪歪的

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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:

  • 基因表达变异性受到性别,种族和健康状况等因素的影响.
  • 了解这些随机模式对于识别信息基因,样本分类和疾病研究,特别是癌症,至关重要.
  • 大量和单细胞RNA测序 (RNA-seq) 提供了对基因表达的不同的看法.

研究的目的:

  • 分析不同样本类型 (正常,癌症,批量,单细胞) 的基因表达分布.
  • 挑战基因表达数据中正常分布的假设.
  • 开发基于表达模式的基因选择和样本分类的新方法.

主要方法:

  • 分析了11,252个大量RNA-seq和4,884个单细胞RNA-seq样本.
  • 使用16个概率分布来描述基因表达的统计建模.
  • 开发基于斜率的度量和改进的天真贝叶斯分类器.

主要成果:

  • 正常样本比癌症样本具有更广泛的分布范围,这有利于不对称的分布.
  • 超过95.5%的基因显示非正常表达分布,与传统假设相矛盾.
  • 在批量和单细胞RNA-seq数据之间观察到基因表达分布的显著差异.
  • 一个新的偏度指标确定了具有显著分布变异的生物相关基因.

结论:

  • 基因表达分布是复杂的,通常是非正常的,需要先进的分析方法.
  • 分布特征为基因选择和样本分类提供了强大的基础.
  • 提出的方法提高了癌症研究中基因选择和分类的准确性.