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In Vivo Proximity Labeling for the Detection of Protein–Protein and Protein–RNA Interactions
- Source :
- Journal of Proteome Research, Journal of Proteome Research, 13, 12, pp. 6135-43, Journal of Proteome Research, 13, 6135-43
- Publication Year :
- 2014
- Publisher :
- American Chemical Society, 2014.
-
Abstract
- Accurate and sensitive detection of protein–protein and protein–RNA interactions is key to understanding their biological functions. Traditional methods to identify these interactions require cell lysis and biochemical manipulations that exclude cellular compartments that cannot be solubilized under mild conditions. Here, we introduce an in vivo proximity labeling (IPL) technology that employs an affinity tag combined with a photoactivatable probe to label polypeptides and RNAs in the vicinity of a protein of interest in vivo. Using quantitative mass spectrometry and deep sequencing, we show that IPL correctly identifies known protein–protein and protein–RNA interactions in the nucleus of mammalian cells. Thus, IPL provides additional temporal and spatial information for the characterization of biological interactions in vivo.
- Subjects :
- Streptavidin
Models, Molecular
Biotin
RNA-binding protein
Computational biology
Plasma protein binding
Biology
Biochemistry
Deep sequencing
Protein–protein interaction
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Proximity labeling
In vivo
Tandem Mass Spectrometry
Protein Interaction Mapping
Technical Note
Humans
Enhancer of Zeste Homolog 2 Protein
biotinylation
030304 developmental biology
0303 health sciences
Molecular Structure
Staining and Labeling
Sequence Analysis, RNA
Proteomics and Chromatin Biology
Polycomb Repressive Complex 2
RNA
RNA-Binding Proteins
General Chemistry
covalent tag
Protein Structure, Tertiary
HEK293 Cells
chemistry
protein−RNA interactions
Biotinylation
Nucleic Acid Conformation
protein−protein interactions
RNA-seq
030217 neurology & neurosurgery
Chromatography, Liquid
Protein Binding
Subjects
Details
- Language :
- English
- ISSN :
- 15353907 and 15353893
- Volume :
- 13
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Journal of Proteome Research
- Accession number :
- edsair.doi.dedup.....0b2f83657b1da99530a04cf38f1ae3cb