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ARiBo pull-down for riboproteomic studies based on label-free quantitative mass spectrometry
被引:5
|作者:
Di Tomasso, Genevieve
[1
]
Jenkins, Lisa M. Miller
[2
]
Legault, Pascale
[1
]
机构:
[1] Univ Montreal, Dept Biochim & Med Mol, Succursale Ctr Ville, Montreal, PQ H3C 3J7, Canada
[2] NCI, Lab Cell Biol, Bethesda, MD 20892 USA
来源:
基金:
加拿大自然科学与工程研究理事会;
加拿大健康研究院;
关键词:
RNA pull-down;
proteomics;
RNA protein interactions;
pre-miRNA;
let-7;
biogenesis;
RNA-BINDING PROTEINS;
AFFINITY PURIFICATION;
MICRORNA BIOGENESIS;
MESSENGER-RNAS;
STEM-CELLS;
LET-7;
LIN28;
RIBONUCLEOPROTEIN;
IDENTIFICATION;
APTAMER;
D O I:
10.1261/rna.057513.116
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:
As part of their normal life cycle, most RNA molecules associate with several proteins that direct their fate and regulate their function. Here, we describe a novel method for identifying proteins that associate with a target RNA. The procedure is based on the ARiBo method for affinity purification of RNA, which was originally developed to quickly purify RNA with high yields and purity under native conditions. The ARiBo method was further optimized using in vitro transcribed RNA to capture RNA associating proteins from cellular extracts with high yields and low background protein contamination. For these RNA pull downs, stem-loops present in the immature forms of let-7 miRNAs (miRNA stem loops) were used as the target RNAs. Label free quantitative mass spectrometry analysis allowed for the reliable identification of proteins that are specific to the stem-loops present in the immature forms of two miRNAs, let-7a-1 and let-7g. Several proteins known to bind immature forms of these let-7 miRNAs were identified, but with an improved coverage compared to previous studies. In addition, several novel proteins were identified that better define the protein interactome of the let-7 miRNA stem-loops and further link let-7 biogenesis to important biological processes such as development and tumorigenesis. Thus, combining the ARiBo pull-down method with label-free quantitative mass spectrometry provides an effective proteomic approach for identification of proteins that associate with a target RNA.
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页码:1760 / 1770
页数:11
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