Dataset Information

Overexpression of galectin-1 promotes cell invasion of unique migratory glioblastoma subpopulation in tumor-brain mechanical interface model

ABSTRACT: Glioblastoma (GBM) is the most common primary brain tumor characterized by extensive infiltration into peritumoral brain tissue. GBM tumors exhibit substantial intratumoral heterogeneity making it difficult to identify and target invasive cell subpopulations. In this study, an interface hydrogel model matching in vivo tissue stiffness was utilized to investigate transcriptomic changes in GBM clonal subpopulations as cells migrate across mechanical interfaces. Using single-cell RNA sequencing combined with clonal lineage tracing, unique migratory clonal subpopulations were identified that preferentially migrate at the interface. These cells exhibit a distinct pre-invasive transcriptomic profile characterized by overexpression of galectin-1, a β-galactosidase binding protein. Our findings reveal overexpression of galectin-1 is an innate characteristic of the migratory cells and that expression level is correlated to invasion rate. This study provides insight into the mechanobiological mechanisms underlying GBM invasion and potential therapeutic targets for the invasive population.

ORGANISM(S): Homo sapiens

PROVIDER: GSE328755 | GEO | 2026/05/01

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Cell motility and invasion initiate metastasis. However, only a subpopulation of cancer cells within a tumor will ultimately become invasive. Due to this stochastic and transient nature, in an experimental setting, migrating and invading cells need to be isolated from the general population in order to study the gene expression profiles linked to these processes. This report describes microarray analysis on RNA derived from migrated or invaded subpopulations of triple negative breast cancer cells in a Transwell set-up, at two different time points during motility and invasion, pre-determined as M-bM-^@M-^\earlyM-bM-^@M-^] and M-bM-^@M-^\lateM-bM-^@M-^] in real-time kinetic assessments. Invasion- and migration-related gene expression signatures were generated through comparison with non-invasive cells, remaining at the upper side of the Transwell membranes. Late-phase signatures of both invasion and migration indicated poor prognosis in a series of breast cancer data sets. Furthermore, evaluation of the genes constituting the prognostic invasion-related gene signature revealed KruM-LM-^Hppel-like factor 9 (KLF9) as a putative suppressor of invasive growth in breast cancer. Next to loss in invasive vs non-invasive cell lines, KLF9 also showed significantly lower expression levels in the M-bM-^@M-^\earlyM-bM-^@M-^] invasive cell population, in several public expression data sets and in clinical breast cancer samples when compared to normal tissue. Overexpression of EGFP-KLF9 fusion protein significantly altered morphology and blocked invasion and growth of MDA-MB-231 cells in vitro. In addition, KLF9 expression correlated inversely with mitotic activity in clinical samples, indicating anti-proliferative effects. After selection of two time points (M-bM-^@M-^\earlyM-bM-^@M-^] and M-bM-^@M-^\lateM-bM-^@M-^]), RNA from invasive and migratory MDA-MB-231 cells was isolated from Transwell membranes and hybridized onto an Illumina HumanHT-12 v4 Expression beadchip. Gene expressions of migrated/invaded subpopulations vs non-motile cells were compared.

Dataset Information

Overexpression of galectin-1 promotes cell invasion of unique migratory glioblastoma subpopulation in tumor-brain mechanical interface model

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets