1. Deep sequencing and proteomic analysis of the microRNA-induced silencing complex in human red blood cells
- Author
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Hansjoerg Moest, Oliver Speer, Imane Azzouzi, Markus Schmugge, Bernd Wollscheid, and Julia J.M. Eekels
- Subjects
Proteomics ,Cancer Research ,Erythrocytes ,Reticulocytes ,Proteome ,Plasma protein binding ,Biology ,Deep sequencing ,Mass Spectrometry ,Sequence Homology, Nucleic Acid ,microRNA ,Genetics ,Gene silencing ,Humans ,RNA-Induced Silencing Complex ,RNA, Messenger ,Molecular Biology ,Chromatography, High Pressure Liquid ,Messenger RNA ,Base Sequence ,High-Throughput Nucleotide Sequencing ,Translation (biology) ,Cell Biology ,Hematology ,Argonaute ,Molecular biology ,Cell biology ,MicroRNAs ,14-3-3 Proteins ,Argonaute Proteins ,Erythropoiesis ,Protein Binding - Abstract
During maturation, erythropoietic cells extrude their nuclei but retain their ability to respond to oxidant stress by tightly regulating protein translation. Several studies have reported microRNA-mediated regulation of translation during terminal stages of erythropoiesis, even after enucleation. In the present study, we performed a detailed examination of the endogenous microRNA machinery in human red blood cells using a combination of deep sequencing analysis of microRNAs and proteomic analysis of the microRNA-induced silencing complex. Among the 197 different microRNAs detected, miR-451a was the most abundant, representing more than 60% of all read sequences. In addition, miR-451a and its known target, 14-3-3ζ mRNA, were bound to the microRNA-induced silencing complex, implying their direct interaction in red blood cells. The proteomic characterization of endogenous Argonaute 2-associated microRNA-induced silencing complex revealed 26 cofactor candidates. Among these cofactors, we identified several RNA-binding proteins, as well as motor proteins and vesicular trafficking proteins. Our results demonstrate that red blood cells contain complex microRNA machinery, which might enable immature red blood cells to control protein translation independent of de novo nuclei information.
- Published
- 2014