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相关概念视频

DNA Microarrays02:34

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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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Extraction: Partition and Distribution Coefficients01:14

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The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
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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.
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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
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In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing...
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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. 
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相关实验视频

Updated: Jul 22, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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基于分区和分布的空间转录组数据的基因相关性测量方法.

Xiaoshu Zhu1,2, Liyuan Pang2, Xiaojun Ding1

  • 1School of Computer Science and Engineering, Yulin Normal University, Yulin, China.

Journal of computational biology : a journal of computational molecular cell biology
|July 20, 2023
PubMed
概括
此摘要是机器生成的。

一种新的方法,STgcor,准确地测量空间转录组 (ST) 数据中的基因相关性. 这种方法可以识别出新的基因模块和癌症途径,而传统方法 (如皮尔森和斯皮尔曼相关系数) 错过了这些途径.

关键词:
顶点的分布 顶点的分布基因共同表达网络是基因共同表达网络.基因相关性测量测量基因相关性测量基因模块识别 基因模块识别空间转录组技术空间转录组技术顶点分区策略的分区策略.

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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:

  • 空间转录组 (ST) 技术可以同时获取空间位置和转录形状.
  • 基因调节网络对于理解细胞通信等生物过程至关重要.
  • 现有的相关性方法 (PCC,SPCC) 对于杂和稀疏的ST数据是不够的.

研究的目的:

  • 开发一种新的基因相关性测量方法,STgcor,优化用于空间转录组数据.
  • 为应对高噪音和ST数据固有的稀疏性所带来的挑战.
  • 识别与癌症相关的基因模块和生物通路.

主要方法:

  • STgcor将点定义为2D平面中的顶点,使用高斯分布来识别和删除异常值.
  • 该方法包含顶点分布度,趋势和位置,以测量基因对相关性,克服稀疏性.
  • 将STgcor与PCC和SPCC进行比较,使用对乳腺癌和前列腺癌ST数据集的加权协同表达网络分析.

主要成果:

  • 与PCC和SPCC相比,STgcor在识别基因模块方面表现优越.
  • 该方法成功检测到独特的基因模块和与癌症相关的途径,这些途径未被传统方法识别出来.
  • 对来自乳腺癌和前列腺癌的ST数据集的分析强调了STgcor的有效性.

结论:

  • STgcor是空间转录学中基因相关性分析的强大而有效的方法.
  • 这种新的方法增强了在复杂组织中发现生物学意义上的基因模块和通路的发现.
  • STgcor为推进癌症研究和理解空间基因调节提供了有价值的工具.