← BioTransfer GEO Dataset Finder
GEO series

LGALS1 plays an anti-oncogenic role in cervical cancer by synthetically regulating transcriptome profile in HeLa cells

GSE215288 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/10/06 Platform GPL20795
Summary
Long non-coding RNAs (lncRNAs) have been extensively studied as key regulators of cancer development in various cancers. *** is a newly identified lncRNA in recent years, and several studies have shown that *** may play oncogenic or anti-oncogenic roles in different cancers. Pan-cancer analysis showed that high *** expression was significantly associated with better prognosis. Nevertheless, the role of *** in the development of cervical cancer is unclear. In our study, we constructed a *** overexpression model in HeLa cell line. We found that *** overexpression significantly inhibited cell proliferation and induced apoptosis, and *** may be a novel anti-oncogenic factor in cervical cancer. Mechanistically, overexpression of *** could activate type I interferon signaling pathways and inhibits the expression of genes involved in DNA damage responses. Meanwhile, *** could regulate the expression of a large number of RNA binding protein genes thereby potentially affecting the alternative splicing of genes involved in cell proliferation or apoptosis regulation. We also established a ceRNA network to predict the regulatory effect of *** on gene expression through miRNA. Our study highlights the essential role of lncRNA *** in the development of cervical cancer and suggests the potential regulatory mechanisms.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE215288_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 PRJNA889710 and SRA study SRP402099. 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.