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相关概念视频

Fixation and Sectioning01:03

Fixation and Sectioning

Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...

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相关实验视频

Updated: Jul 14, 2026

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
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转录组学的生成和整合建模,使用甲固态抛嵌入材料.

Eliseos J Mucaki1, Wenhan Zhang1, Aryamaan Saha2

  • 1Department of Biochemistry, Western University, 1151 Richmond St., London, ON, N6A 3K7, Canada.

Journal of translational medicine
|October 1, 2025
PubMed
概括

PREFFECT是一个新的计算框架,可以改进对已降解的甲固定嵌入 (FFPE) 样品的RNA测序分析. 它准确地归纳缺少的数据并调整批量效应,增强临床研究的下游分析.

关键词:
嵌入式固定式甲嵌入式固定式甲.生成式建模生成式建模图表注意力网络的图表.通过RNA测序来测序RNA序列.

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Preparation of Formalin-fixed Paraffin-embedded Tissue Cores for both RNA and DNA Extraction
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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

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相关实验视频

Last Updated: Jul 14, 2026

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09:20

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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:

  • 嵌入式甲固化 (FFPE) 样本显示核酸降解,使高通量测序复杂化.
  • FFPE RNA测序 (fRNA-seq) 数据带来了像转录丢失和高方差这样的挑战,阻碍了下游分析.

研究的目的:

  • 介绍PREFFECT,用于分析fRNA-seq数据的概率框架.
  • 解决fRNA-seq数据集数据质量和分析方面的挑战.

主要方法:

  • PREFFECT采用生成模型来适应表达数分布,并根据技术和生物变量进行调整.
  • 它利用匹配的组织配置文件进行稳定和归算,并利用样本-样本相邻网络与图表注意力机制.

主要成果:

  • 负二项分布被确定为最适合fRNA-seq转录数的分布.
  • 在使用相邻网络和多个组织时,PREFFECT准确地赋值缺失值,调整批量效应,并增强样本聚类.

结论:

  • 与通用散装RNA-seq工具相比,PREFFECT提供了改进和特定的模型匹配,特别是与匹配的配置文件.
  • 该框架的转换数据与现有工具兼容,支持临床生物标志物发现和诊断.