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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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2.7K
Ribosome Profiling02:24

Ribosome Profiling

3.4K
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...
3.4K
Transcription01:17

Transcription

19.0K
Transcription is the synthesis of RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in correctly synthesizing messenger RNA (mRNA). Transcriptional regulation is responsible for the differentiation of different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds of RNA Molecules
In eukaryotes,...
19.0K
Transcription Attenuation in Prokaryotes02:42

Transcription Attenuation in Prokaryotes

14.9K
Transcriptional attenuation occurs when RNA transcription is prematurely terminated due to the formation of a terminator mRNA hairpin structure.  Bacteria use these hairpins to regulate the transcription process and control the synthesis of several amino acids including histidine, lysine, threonine, and phenylalanine. Transcription attenuation takes place in the non-coding regions of mRNA.
There are several different mechanisms used to attenuate transcription. In ribosome mediated...
14.9K
Transcription Initiation01:47

Transcription Initiation

16.0K
Initiation is the first step of transcription in eukaryotes. Prokaryotic RNA Polymerase (RNAP) can bind to the template DNA and start transcribing. On the other hand, transcription in eukaryotes requires additional proteins, called transcription factors, to first bind to the promoter region in the DNA template. This binding helps recruit the specific RNAP that can assemble on the DNA and start transcription.
The promoters and enhancers and their accessory proteins allow tight regulation of...
16.0K
DNA Microarrays02:34

DNA Microarrays

17.0K
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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相关实验视频

Updated: May 10, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

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通过主题建模探索转录数据的潜空间.

Filippo Valle1, Michele Caselle1, Matteo Osella1

  • 1Physics Department, University of Turin and INFN, Via Pietro Giuria 1, 12125 Torino, Italy.

NAR genomics and bioinformatics
|April 23, 2025
PubMed
概括
此摘要是机器生成的。

主题建模技术,最初用于文本,可以组织基因表达数据. 这些方法准确地重建人类组织结构,并区分健康和癌症组织,为转录组分析提供了一个新的计算工具.

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 高维的转录数据集正在迅速扩大,需要先进的计算工具.
  • 聚类和缩小维度是分析基因表达数据的常见方法.
  • 主题建模在自然语言处理中取得了成功,为生物数据提供了一种新的方法.

研究的目的:

  • 为了比较各种主题建模技术的有效性来分析转录基因数据.
  • 评估主题模型在基因表达数据中发现潜在结构的能力.
  • 评估主题建模用于重建人体组织架构和区分健康和癌症组织.

主要方法:

  • 我们利用了文本和转录数据之间的统计类比.
  • 多个主题建模算法应用于基因表达数据集.
  • 研究了潜在空间特性,包括统计先验的影响.
  • 一个神经网络分类器被训练在主题模型的潜在空间.

主要成果:

  • 主题建模准确地识别和重建人体组织结构从转录基因数据.
  • 方法有效地区分健康和癌症组织.
  • 主题模型产生的潜空间被证明是一个有价值的低维嵌入.
  • 统计学先验显著影响了主题模型的解释性和结果.

结论:

  • 主题建模为分析高维的转录基因数据提供了一个强大的框架.
  • 这种方法为生物数据探索的传统方法提供了可行的替代方案.
  • 隐藏的主题空间可以准确地分类转录基因特征,有助于疾病检测.