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通过选择性核糖体分析对共翻译相互作用网络进行全局鉴定
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JoVE Journal
Biology
Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
Please note that all translations are automatically generated.
Click here for the English version.
通过选择性核糖体分析对共翻译相互作用网络进行全局鉴定
DOI:
10.3791/62878-v
•
06:58 min
•
October 07, 2021
•
Johannes Venezian
,
Hila Zilberman
,
Ayala Shiber
1
Faculty of Biology
,
Technion – Israel Institute of Technology
Chapters
00:04
Introduction
00:49
Cell Collection and Lysis
01:29
Processing the Total RNA Sample
02:24
Processing the Immunopurification Sample
04:34
Results: Analysis of Ribosome-Protected Footprint Isolation, RNA Extraction, cDNA Library Creation, and Co-Translational Interactions
06:19
Conclusion
Summary
Automatic Translation
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Automatic Translation
共转化相互作用在新生链修饰,靶向,折叠和组装途径中起着至关重要的作用。在这里,我们描述了选择性核糖体分析,这是一种
体内
直接分析真核生物酿酒
酵母
模型中这些相互作用的方法。
Tags
Keywords: Co-translational Interactions
Selective Ribosome Profiling
In Vivo Analysis
Saccaromyces Cerevisiae
Cryogenic Grinding
RNase I Digestion
Sucrose Cushion
Affinity Purification
Protein-ribosome Interactions
Global Profiling
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