Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Construction and characterization of synthetic microRNA cluster for multiplex RNA interference in mammalian cells


ABSTRACT: RNA interference (RNAi) technology is widely used in basic and translational research. By mimicking natural primary microRNA (pri-miRNA) cluster, multiple engineered hairpins can be transcribed as a single transcript from the same Pol-II promoter, enabling multiplex RNAi in mammalian cells 1-5. However, constructing synthetic miRNA cluster is still time-consuming, and the processing and function of miRNA cluster are incompletely understood. Here, we identified a miRNA precursor architecture that allowed precise miRNA maturation. We established a hierarchical cloning method for efficient construction of synthetic miRNA cluster harboring up to 18 miRNA precursors. We demonstrated that maturation and function of individual miRNA precursors were independent on their positions in the cluster. We then analyzed the integration efficiency of miRNA clusters with varying number of miRNA precursors by using CRISPR/Cas9 mediated integration, piggyBac transposon system, and lentiviral system. This synthetic miRNA cluster system provides an important tool for multiplex RNAi in mammalian cells. Different kinds of synthetic miRNAs or miRNA clusters, including the same synthetic miRNA precursor embedded in a series of derivative backbones, 18 synthetic miRNA precursors, miRNA precursors with various stem lengths and miRNA clusters carrying different numbers of different pri-miRNA hairpins, were expressed in HEK293 cells. The microRNA maturation pattern of individual miRNA precursors was detected by small RNA sequencing.

ORGANISM(S): Homo sapiens

SUBMITTER: Zhen Xie 

PROVIDER: E-GEOD-71088 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2016-09-01 | GSE71088 | GEO
2021-07-28 | PXD025767 | Pride
2012-08-20 | GSE32935 | GEO
2008-12-25 | GSE14215 | GEO
2012-08-20 | E-GEOD-32935 | biostudies-arrayexpress
2013-07-01 | E-GEOD-40579 | biostudies-arrayexpress
2017-04-23 | GSE93651 | GEO
2017-04-23 | GSE93650 | GEO
2014-10-09 | GSE56862 | GEO
2020-04-16 | GSE142818 | GEO