Defining the RNA interactome by total RNA-associated protein purification

被引:98
作者
Shchepachev, Vadim [1 ]
Bresson, Stefan [1 ]
Spanos, Christos [1 ]
Petfalski, Elisabeth [1 ]
Fischer, Lutz [2 ]
Rappsilber, Juri [1 ,2 ]
Tollervey, David [1 ]
机构
[1] Univ Edinburgh, Wellcome Ctr Cell Biol, Edinburgh, Midlothian, Scotland
[2] Tech Univ Berlin, Inst Biotechnol, Bioanalyt, Berlin, Germany
基金
英国惠康基金; 瑞士国家科学基金会;
关键词
mass spectrometry; phase separation; protein-RNA interaction; RNA binding sites; yeast; ASSISTED-LASER-DESORPTION/IONIZATION; TRANSCRIPTOME-WIDE DISCOVERY; HIGH-THROUGHPUT ANALYSIS; NASCENT MESSENGER-RNA; PRE-RIBOSOMAL-RNA; UV CROSS-LINKING; BINDING SITES; MASS-SPECTROMETRY; HIGH-RESOLUTION; ESCHERICHIA-COLI;
D O I
10.15252/msb.20188689
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The RNA binding proteome (RBPome) was previously investigated using UV crosslinking and purification of poly(A)-associated proteins. However, most cellular transcripts are not polyadenylated. We therefore developed total RNA-associated protein purification (TRAPP) based on 254 nm UV crosslinking and purification of all RNA-protein complexes using silica beads. In a variant approach (PAR-TRAPP), RNAs were labelled with 4-thiouracil prior to 350 nm crosslinking. PAR-TRAPP in yeast identified hundreds of RNA binding proteins, strongly enriched for canonical RBPs. In comparison, TRAPP identified many more proteins not expected to bind RNA, and this correlated strongly with protein abundance. Comparing TRAPP in yeast and E. coli showed apparent conservation of RNA binding by metabolic enzymes. Illustrating the value of total RBP purification, we discovered that the glycolytic enzyme enolase interacts with tRNAs. Exploiting PAR-TRAPP to determine the effects of brief exposure to weak acid stress revealed specific changes in late 60S ribosome biogenesis. Furthermore, we identified the precise sites of crosslinking for hundreds of RNA-peptide conjugates, using iTRAPP, providing insights into potential regulation. We conclude that TRAPP is a widely applicable tool for RBPome characterization.
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页数:23
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