← BioTransfer GEO Dataset Finder
GEO series

MiRNA hijacking for self-modulating oligonucleotide therapy

GSE207406 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2024/07/06 Platform GPL24676
Summary
Due to a pivotal role in the post-transcriptional regulation of gene expressions implicated in numerous human diseases, miRNAs have been positioned to serve as promising disease biomarkers and novel therapeutic targets. However, gene silencing by miRNAs is limited to transcripts that contain complementary sequences. Herein we describe a miRNA-hijacker capable of downregulating newly assigned target mRNAs by hijacking intended miRNA. We developed a linear miRNA-hijacker with two miRNA binding sites to achieve higher repression and a hairpin-type (HT) miRNA-hijacker gifted with the hidden target mRNA binding site to minimize off-target effects. We also verified that the repression process by the miRNA-hijacker essentially involves the active mediating miRNA and functional AGO-RISC complex. By engineering the miRNA-hijackers to downregulate the anti-apoptotic BCL-xL gene, we successfully induced apoptosis only in the breast cancer cells overexpressing specific miRNAs and further validated its therapeutic efficacy in vivo, significantly reducing the tumor volume of the xenograft mouse upon its tail-vein injection. Our miRNA-hijacker technology can establish a new platform for self-modulating oligonucleotide therapy by hijacking disease-associated miRNAs and changing their destinations
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE207406_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA855253 and SRA study SRP384688. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.