← BioTransfer GEO Dataset Finder
GEO series

An unbiased lncRNAs dropout CRISPR-Cas9 screen reveals RP11-350G8.5 as a potential therapeutic target for Multiple Myeloma

GSE273796 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2024/08/20 Platform GPL24676
Summary
Multiple Myeloma (MM) is an incurable malignancy characterised by alterations of coding and non-coding genes that promote tumour growth and drug resistance. Despite the crucial role of long non-coding-RNAs (lncRNAs) in myeloma genesis is established, the functional role of the non-coding RNAome in MM remains largely unknown. We performed an unbiased CRISPR-Cas9 recessive screen targeting 671 lncRNAs in MM cell lines unvealing and prioritising a list of novel onco-lncRNAs essential for MM cell fitness and associated with high expression and poor prognosis in MM patients. Among them, RP11-350G8.5 emerged as the most promising vulnerability for MM cells, irrespective of their resistance to the standard-of-care bortezomib. We i) validated the oncogenic role of RP11-350G8.5 in vitro and in vivo; ii) characterised its function in relation to the unfolded protein stress response and induction of immunogenic cell death, and iii) shed light on its sub-cellular localisation, structural and chemical predictions of RNA-G-quadruplex-forming regions to pave the way to the development of novel therapeutics.
Published in
An unbiased lncRNA dropout CRISPR-Cas9 screen reveals RP11-350G8.5 as a novel therapeutic target for multiple myeloma
Grillone K, Ascrizzi S, Cremaschi P et al. · Blood 2024 · PMID 39158066 · doi:10.1182/blood.2023021991
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE273796_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1143216 and SRA study SRP523817. 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.

+ 4 more — browse all 4 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.