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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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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.
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Prokaryotes are small unicellular organisms that include the domains — Archaea and Bacteria. Bacteria include many common microorganisms, such as Salmonella and E. coli, while the Archaea include extremophiles that live in harsh environments, such as volcanic springs.
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相关实验视频

Updated: May 27, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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隐藏的细菌微蛋白质组是细菌的微蛋白质组.

Igor Fesenko1, Harutyun Sahakyan1, Rajat Dhyani2

  • 1Computational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

Molecular cell
|February 20, 2025
PubMed
概括
此摘要是机器生成的。

研究人员从细菌基因组中确定了67,297个微蛋白家族. 这些微蛋白中的许多被跨基因小型开放阅读框架 (ismORFs) 编码的微蛋白都被表达出来,并且可能具有不同的功能.

关键词:
细菌微蛋白是一种细菌微蛋白.微蛋白质的演变.跨基因区域是跨基因地区.蛋白质结构预测 蛋白质结构预测它们是smORFs.小开放的阅读框架.

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Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
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相关实验视频

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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
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Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
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科学领域:

  • 微生物学 微生物学
  • 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:

  • 微蛋白质由小型开放的读取框架编码,代表蛋白质组的很大一部分,通常被称为"暗物质".
  • 虽然在生命领域中检测到许多微蛋白,但许多微蛋白仍然未被识别和功能性未被描述.

研究的目的:

  • 为了全面识别和表征的微型蛋白质编码的跨基因小开放的读取框架 (ismORFs) 在肠杆菌家族.
  • 评估这些新发现的细菌微蛋白的进化保存和潜在功能.

主要方法:

  • 来自Enterobacteriaceae家族的5,668个细菌基因组的生物信息分析,以识别ismORFs (15-70个编码子).
  • 在特定的ismORFs上作用的净化选择的计算预测.
  • 使用标记蛋白质对大肠杆菌中预测的微蛋白表达的实验验证.

主要成果:

  • 在Enterobacteriaceae中,在净化选择下识别了67,297个ismORF群.
  • 在大肠杆菌中测试的16种微蛋白中,实验检测了11种微蛋白的表达,验证了计算预测.
  • 预测的微蛋白通常是疏水性,跨膜性或无结构的,但有些呈现球状折叠,并有可能与邻近的蛋白质进行寡合化或相互作用.

结论:

  • 已经确定了由ismORFs编码的大量细菌微蛋白,这表明了细菌蛋白质组的重要,以前被低估的组成部分.
  • 该研究提供了预测的微蛋白家族的可搜索资源,包括转录,翻译和结构的证据,促进未来的功能调查.