← BioTransfer GEO Dataset Finder
GEO series

PRPF19 Inhibition Attenuates Non-Small Cell Lung Cancer Progression through Impairing Citron Kinase-controlled Cytokinesis and Enhancing Anti-tumor Immune Responses [PRPF19_H2009_RNAseq]

GSE259344 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2024/03/03 Platform GPL24676
Summary
Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related death, primarily due to limited therapeutic targets and the emergence of drug resistance. In this study, we conducted CRISPR knockout screens to identify the pre-mRNA processing factor 19 (PRPF19) as a potential therapeutic target for NSCLC. Our findings revealed that PRPF19 is highly expressed in NSCLC, and its expression is negatively correlated with the clinical outcomes. Through functional validation, we confirmed that genetic ablation of PRPF19 significantly attenuated cancer progression both in vitro and in vivo. Mechanistically, we discovered that PRPF19 plays a crucial role in regulating the precise location of Citron Kinase (CIT) within the contractile ring, thereby sustaining the normal cytokinesis processes. Inhibition of PRPF19 resulted in cytokinesis failure, leading to micronuclei formation and activating the anti-tumor immune response through the TBK1-IFNs pathway. Taken together, our results demonstrate the critical involvement of the PRPF19-CIT axis in NSCLC progression and suggest that targeting PRPF19 represents a promising therapeutic approach for NSCLC patients.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE259344_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1081290 and SRA study SRP491972. 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.

+ 9 more — browse all 9 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.