GEO series
Transcriptomic and Epigenomic Profiling of MYADM and RhoA Regulatory Networks in Metastatic Cancer Models
GSE297013
Mus musculus; Homo sapiens
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
52 samples
2025/08/19
GPL19057GPL16791GPL17021
Summary
This dataset comprises bulk RNA-seq and ATAC-seq profiles across multiple human and murine cell lines with diverse metastatic potentials to investigate the role of MYADM and RhoA in cancer progression. RNA-seq samples include MYADM and RhoA knockdown in murine breast cancer cells (4T1), MYADM overexpression in human mammary epithelial cells (MCF10A), and metastatic progression models derived from human kidney (ACHN) and lung (CL1 series) cell lines. Additionally, transcriptomic data were collected from bone marrow-derived monocytes isolated from wild-type and MYADM whole-body knockout mice. ATAC-seq data were generated from selected RNA-seq matched samples to characterize chromatin accessibility changes associated with MYADM and RhoA perturbation. All cells were cultured under standard conditions. This dataset provides insights into transcriptional and epigenetic alterations during MYADM- and RhoA-mediated cancer metastasis.
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Paper (PMID 40882023) ↗
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