← BioTransfer GEO Dataset Finder
GEO series

Characteristic genetic alterations associated with the partial deletion of chromosome 11 in mouse thymic lymphomas induced by high linear energy transfer irradiation with carbon ions

GSE306337 Mus musculus Expression profiling by high throughput sequencing 24 samples 2026/05/07 GPL28457
Summary
High linear energy transfer (LET) radiation is thought to induce highly complex DNA damage compared with photon radiation such as X-rays, suggesting a characteristic mechanism for the development of cancers associated with high-LET radiation exposure. However, few studies have investigated the carcinogenic mechanisms that are dependent on radiation quality or LET. This study analyzed mutations and gene expression in thymic lymphomas induced by high-LET carbon-ion irradiation to identify characteristic genetic alterations. The results revealed that thymic lymphomas arising after four-fractionated high-LET carbon-ion irradiation frequently exhibited loss of heterozygosity in the region containing the thymic lymphoma–associated gene Ikzf1 on chromosome 11 owing to extensive genomic deletions in the paternal allele. Nevertheless, for carbon ion–induced thymic lymphomas, those with only loss of heterozygosity without Ikzf1 alterations were observed at a relatively high frequency. Comprehensive RNA sequencing and reverse-transcription PCR analysis of neighboring genes of Ikzf1 revealed highly upregulated expression of Grb10, an imprinted gene that is barely expressed in the normal thymus. In thymic lymphomas expressing Grb10, enhanced interferon signaling and Pten mutations were suggested to promote cell proliferation and survival. These results suggest that extensive genomic deletions caused by high-LET carbon-ion irradiation may contribute to carcinogenesis by altering the expression of multiple genes located in the deleted region.
Download
NCBI GEO page ↗ Paper (PMID 42090560) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse RNA-seq datasets →
Similar datasets

Search all mouse 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.