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相关概念视频

Recombinant DNA01:09

Recombinant DNA

Overview
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
Recombinant DNA01:09

Recombinant DNA

Overview
PCR - Polymerase Chain Reaction01:32

PCR - Polymerase Chain Reaction

Overview
Reproductive Cloning01:27

Reproductive Cloning

Reproductive cloning is the process of producing a genetically identical copy—a clone—of an entire organism. While clones can be produced by splitting an early embryo—similar to what happens naturally with identical twins—cloning of adult animals is usually done by a process called somatic cell nuclear transfer (SCNT).
Somatic Cell Nuclear Transfer
In SCNT, an egg cell is taken from an animal and its nucleus is removed, creating an enucleated egg. Then a somatic cell—any cell that is not a sex...
The Central Dogma01:20

The Central Dogma

The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...

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相关实验视频

Updated: Jun 9, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
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基因复合器:基于基因病理学的蛋白质多重复合生成,使用深度学习.

Sonali Andani1,2,3,4, Boqi Chen1,2,5,6,4, Joanna Ficek-Pascual1,2

  • 1Department of Computer Science, ETH Zurich, Zurich Switzerland.

medRxiv : the preprint server for health sciences
|December 16, 2024
PubMed
概括
此摘要是机器生成的。

HistoPlexer是一个深度学习框架,从基因病理图像生成空间蛋白质复合体. 这种具有成本效益的方法有助于了解瘤微环境,并推进精确瘤学.

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科学领域:

  • 计算病理学计算病理学
  • 人工智能在瘤学中的应用
  • 生物医学成像分析分析

背景情况:

  • 多复合成像对于瘤微环境 (TME) 分析至关重要,但面临采用障碍.
  • 目前的方法受到成本,时间和组织要求的限制.
  • 了解TME相互作用对于癌症研究和治疗至关重要.

研究的目的:

  • 介绍HistoPlexer,这是一个深度学习框架,用于从组织病理图像生成空间蛋白质复合体.
  • 克服现有的多重成像技术的局限性.
  • 为TME分析提供一个成本和时间有效的工具.

主要方法:

  • HistoPlexer使用具有自定义损失函数的条件生成对抗网络 (cGAN).
  • 该框架减轻了片对片的变化,并保留了空间蛋白质相关性.
  • 评估涉及转移性黑色素瘤样本和一个独立的队列.

主要成果:

  • 在定量指标 (SSIM,PSNR) 中,HistoPlexer的表现优于现有的方法.
  • 专家评估证实了生成的蛋白质复合体的高现实性.
  • 生成的数据使得准确的瘤分层 (免疫热/冷) 和改善的生存预测模型.

结论:

  • HistoPlexer提供了一种成本和时间有效的解决方案,用于从H&E图像中生成整个幻灯片蛋白质复合物.
  • 该框架准确地捕获了空间蛋白共同定位和TME特征.
  • 通过提高TME的理解,HistoPlexer显示出提高精确瘤学的前景.