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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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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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相关实验视频

Updated: Jul 24, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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综合性蛋白质基因组学使用蛋白质基因生成器2

Nathaniel Kwok1,2,3, Zita Aretz1,4, Sumiko Takao1,5

  • 1Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, United States.

Journal of proteome research
|July 7, 2023
PubMed
概括
此摘要是机器生成的。

蛋白质组生成器2 (PG2) 通过整合基因组和转录组数据来增强蛋白质组分析,以识别非正规蛋白质变体. 这种工具扩大了蛋白质组研究的范围,超越了正规序列.

关键词:
这是一个全面的蛋白质组学.基因组学就是基因组学.蛋白质基因组学翻译学 翻译学 翻译学 翻译学

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科学领域:

  • 基因组学就是基因组学.
  • 蛋白质组学是指蛋白质组学
  • 生物信息学是一种生物信息学.

背景情况:

  • 核酸测序和质谱学的进步使得大规模的生物研究成为可能.
  • 目前的蛋白质组学研究受限于对正规蛋白质数据库的依赖.
  • 遗传和转录基因变异导致多样化的蛋白质序列,通常不会被分析.

研究的目的:

  • 开发ProteomeGenerator2 (PG2),这是一个用于生成全面蛋白质基因数据库的先进框架.
  • 整合基因组和转录组测序数据以识别非正规蛋白质变体.
  • 通过包括超出正规序列的变体来增强蛋白质组的分析.

主要方法:

  • 在ProteomeGenerator框架的基础上开发了ProteomeGenerator2 (PG2).
  • 综合基因组和转录组测序数据.
  • 纳入的蛋白质变体包括氨基酸替代,插入,删除,非正规的读取框架和替代外型.
  • 使用合成数据和对人类白血病细胞的真实世界分析进行基准PG2.

主要成果:

  • PG2成功地整合了基因组和转录组数据,创建了全面的蛋白质组数据库.
  • 该工具识别并结合了广泛的蛋白质变异,包括那些由遗传和转录组变异产生的变异.
  • 基准测试证明了PG2在分析复杂蛋白质组中的实用性,包括来自人类白血病细胞的蛋白质组.

结论:

  • 蛋白质生成器2 (PG2) 通过使非正规蛋白质变体的研究能够显著推进蛋白质组分析.
  • PG2与现有和新兴的测序和生物信息工具具有广泛的兼容性.
  • 由于PG2的开源可用性,使其更容易融入各种研究环境,以获得更深入的生物学见解.