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相关概念视频

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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相关实验视频

Updated: Jul 8, 2025

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research
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从长椅到床边通过字节:使用机器学习和网络方法进行多组免疫分析和集成.

Hanxi Xiao1, Aaron Rosen1, Prabal Chhibbar1

  • 1Center for Systems Immunology, Departments of Immunology and Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.

Human vaccines & immunotherapeutics
|December 15, 2023
PubMed
概括

高通量欧米技术为疫苗和免疫疗法产生大规模的免疫特征. 系统方法整合了多原子数据,以揭示免疫机制和治疗效果.

关键词:
系统免疫学 系统免疫学机器学习是机器学习.网络 网络 网络 网络 网络 网络治疗药物 治疗药物疫苗,疫苗的使用情况.

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科学领域:

  • 免疫学和系统生物学
  • 高吞吐率的奥米克斯具有很高的通量.
  • 翻译医学是一种翻译医学.

背景情况:

  • 越来越多地使用OMIC技术进行生物反应分析.
  • 需要系统方法来理解复杂的生物相互作用.
  • 开发新型疫苗,免疫疗法和干细胞疗法.

研究的目的:

  • 总结实验数据模式,以生成大规模的免疫特征.
  • 讨论整合多原子数据的分析方法.
  • 为了深入了解免疫和治疗诱导的免疫调节.

主要方法:

  • 基因组,表观基因组,转录基因组,蛋白质组,代谢组和抗体组的表征.
  • 应用系统方法来整合跨尺度的数据.
  • 利用机器学习和网络分析来解释数据.

主要成果:

  • 多原子分析使生物反应的全面分析成为可能.
  • 系统方法揭示了生物层之间的复杂相互作用.
  • 机器学习和网络方法有助于产生洞察力.

结论:

  • 高通量欧米克为免疫分析提供了强大的工具.
  • 综合系统方法对于理解复杂的生物系统至关重要.
  • 这些方法推进了对免疫和治疗干预的研究.