Other

Dataset Information

0

Spatial transcriptomic characterization of obesity-associated gene expression programs in endometrial cancer


ABSTRACT: This study investigates spatial transcriptomic alterations associated with obesity in endometrial cancer using NanoString GeoMx Digital Spatial Profiling. Tumor samples from obese and non-obese patients were profiled to identify gene expression programs linked to metabolic and oncogenic pathways. NOTE ON RAW DATA COMPLETENESS: 4 FASTQ files (F03_S3_L003_R1, F06_S6_L003_R2, F11_S11_L004_R1, F12_S12_L002_R2) were lost due to a server crash at the USC Center for Advanced Research Computing (CARC) and could not be recovered. All remaining raw and processed data files are complete and available.

ORGANISM(S): Homo sapiens

PROVIDER: GSE330215 | GEO | 2026/05/15

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-06-09 | GSE209873 | GEO
2021-11-01 | GSE160791 | GEO
2021-11-01 | GSE160615 | GEO
| PRJNA1036228 | ENA
2026-04-02 | GSE326636 | GEO
2017-05-04 | GSE97752 | GEO
| PRJNA1257936 | ENA
| PRJNA928833 | ENA
| PRJNA928832 | ENA
| PRJNA842731 | ENA