Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Surface substance loss of subsurface bovine enamel lesions after different steps of the resinous infiltration technique: a 3D topography analysis.

Odontology·2011

Same author

Expression of IL-23/Th17 pathway in a murine model of Coxsackie virus B3-induced viral myocarditis.

Virology journal·2011

Same author

Extracellular matrix peptides of Artemia cyst shell participate in protecting encysted embryos from extreme environments.

PloS one·2011

Same author

Therapeutic effect of carboxymethylated and quanternized chitosan on insulin resistance in high-fat-diet-induced rats and 3T3-L1 adipocytes.

Journal of biomaterials science. Polymer edition·2011

Same author

Role of reactive oxygen species in triptolide-induced apoptosis of renal tubular cells and renal injury in rats.

Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban·2011

Same author

Chlorination and ortho-acetoxylation of 2-arylbenzoxazoles.

Organic & biomolecular chemistry·2011

Search research articles

相关实验视频

Updated: Jul 10, 2025

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

双信号特征空间地图蛋白质亚细胞位置基于免疫组织化学图像和蛋白质序列

Kai Zou^1,2, Simeng Wang¹, Ziqian Wang¹

¹School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330038, China.

Sensors (Basel, Switzerland)

|November 25, 2023

概括

这项研究引入了一种新的双信号计算方法,将蛋白质序列和免疫组织化学 (IHC) 图像结合起来,用于预测蛋白质细胞下定位,从而实现更高的准确性.

关键词:

基准数据库是一个基准数据库.有歧视性特征的运营商.这是一个双重信号信号.蛋白质亚细胞位置预测预测

更多相关视频

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Published on: October 31, 2020

相关实验视频

Last Updated: Jul 10, 2025

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Published on: October 31, 2020

科学领域:

生物化学和分子生物学
计算生物学计算生物学
细胞生物学细胞生物学

背景情况:

蛋白质细胞下定位对于理解细胞功能和生理环境至关重要.
现有的计算方法主要依赖于单个数据类型,如蛋白质序列或图像 (IHC,IF).
有限的研究存在于整合多种蛋白质信号类型,以增强本地化预测.

研究的目的:

开发和评估一个双信号计算协议,用于蛋白质亚细胞局部化预测.
为了研究融合蛋白序列数据与免疫组织化学 (IHC) 图像的有效性.
为了提高预测细胞区内的蛋白质位置的准确性和可靠性.

主要方法:

构建一个基准数据库,包含来自人类蛋白质图谱和瑞士-Prot的281种蛋白质,重点是ER,戈尔吉器官,细胞质和核质.
用IHC图像和蛋白质序列的歧视性特征运算符对蛋白质图像序列样本的量化.
开发一个使用缩小维度和二进制相关性 (BR) 的多分类器系统,并为最终的本地化决定提供投票机制.

主要成果:

集成IHC图像和蛋白质序列的双信号模型与单信号模型相比显示出更高的性能.
在预测蛋白质亚细胞定位方面,获得了75.41%的准确性,80.38%的精度和74.38%的回忆.
融合方法显著提高了预测能力,突出了多信号集成的价值.

结论:

开发的双信号计算协议通过整合多种数据源有效预测蛋白质亚细胞定位.
多信号融合,特别是结合IHC图像和蛋白质序列,为提高预测准确性提供了一个有希望的途径.
这项研究为未来关于生物预测多模式蛋白质数据集成的研究提供了基础.