Transcriptomic and Epigenomic Profiling of MYADM and RhoA Regulatory Networks in Metastatic Cancer Models
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 52 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 52 samples: 22 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- MYADM Activates RhoA-Mediated Ameboid Migration to Drive MetastasisCancer research · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE297013_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1262379 and SRA study SRP585081. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 4 samples read as cases, 4 as controls.
How we read this: 22 replicated groups read from 52 sample titles; they account for 52 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8981580 4T1 cells, shContral, rep1 4T1 cells, shContral,
- GSM8981581 4T1 cells, shContral, rep2 4T1 cells, shContral,
- GSM8981582 4T1 cells, shContral, rep3 4T1 cells, shContral,
- GSM8981583 4T1 cells, shMYADM#1, rep1 4T1 cells, shMYADM#1,
- GSM8981584 4T1 cells, shMYADM#1, rep2 4T1 cells, shMYADM#1,
- GSM8981585 4T1 cells, shMYADM#1, rep3 4T1 cells, shMYADM#1,
- GSM8981586 4T1 cells, shMYADM#2, rep1 4T1 cells, shMYADM#2,
- GSM8981587 4T1 cells, shMYADM#2, rep2 4T1 cells, shMYADM#2,
- GSM8981588 4T1 cells, shMYADM#2, rep3 4T1 cells, shMYADM#2,
- GSM8981589 4T1 cells, shRhoA, rep1 4T1 cells, shRhoA,
- GSM8981590 4T1 cells, shRhoA, rep2 4T1 cells, shRhoA,
- GSM8981591 4T1 cells, shRhoA, rep3 4T1 cells, shRhoA,
- GSM8981592 BMM cells, wild type, rep1 BMM cells, wild type,
- GSM8981593 BMM cells, wild type, rep2 BMM cells, wild type,
- GSM8981594 BMM cells, MYADM knockout, rep1 BMM cells, MYADM knocko…
- GSM8981595 BMM cells, MYADM knockout, rep2 BMM cells, MYADM knocko…
- GSM8981596 ACHN cells, rep1 ACHN cells,
- GSM8981597 ACHN cells, rep2 ACHN cells,
- GSM8981598 AK cells, rep1 AK cells,
- GSM8981599 AK cells, rep2 AK cells,
- GSM8981600 AL cells, rep1 AL cells,
- GSM8981601 AL cells, rep2 AL cells,
- GSM8981602 LL cells, rep1 LL cells,
- GSM8981603 LL cells, rep2 LL cells,
- GSM8981604 CL1-0 cells , rep1 CL1-0 cells ,
- GSM8981605 CL1-0 cells , rep2 CL1-0 cells ,
- GSM8981606 CL1-1 cells , rep1 CL1-1 cells ,
- GSM8981607 CL1-1 cells , rep2 CL1-1 cells ,
- GSM8981608 CL1-3 cells , rep1 CL1-3 cells ,
- GSM8981609 CL1-3 cells , rep2 CL1-3 cells ,
- GSM8981610 CL1-5 cells , rep1 CL1-5 cells ,
- GSM8981611 CL1-5 cells , rep2 CL1-5 cells ,
- GSM8981612 MCF10A cells, vector, rep1 MCF10A cells, vector,
- GSM8981613 MCF10A cells, vector, rep2 MCF10A cells, vector,
- GSM8981614 MCF10A cells, MYADM, rep1 MCF10A cells, MYADM,
- GSM8981615 MCF10A cells, MYADM, rep2 MCF10A cells, MYADM,
- GSM8981616 ATAC_4T1 cells, shContral, rep1 ATAC_4T1 cells, shContr…
- GSM8981617 ATAC_4T1 cells, shContral, rep2 ATAC_4T1 cells, shContr…
- GSM8981618 ATAC_4T1 cells, shContral, rep3 ATAC_4T1 cells, shContr…
- GSM8981619 ATAC_4T1 cells, shMYADM#1, rep1 ATAC_4T1 cells, shMYADM…
+ 12 more — browse all 52 samples with per-sample file links →
- GSE306837 Unraveling Enteroendocrine Cell lineage dynamics and associated gene regulatory networks during intestinal development 13 samples shares regulatory, networks
- GSE281492 Molecular characterisation of the metastatic cell state in Breast Cancer 101 samples shares metastatic
- GSE284443 L1CAM generates SOX2+ metastatic progenitors through planar cell polarity signaling in lung adenocarcinoma 6 samples shares metastatic
- GSE202126 Single-cell Total-RNA Profiling Unveils Regulatory Hubs of Transcription Factors 1089 samples shares regulatory
- GSE290486 Matched single-cell chromatin, transcriptome, and surface marker profiling captures in vivo epigenomic reprogramming during basal-to-luminal transition in the mammary gland 37 samples shares epigenomic
- GSE328692 Single-cell gene programs define subtype identity and metastatic trajectories in renal cell carcinoma 34 samples shares metastatic
- GSE232887 A gene desert required for regulatory control of pleiotropic Shox2 expression and embryonic survival 17 samples shares regulatory
- GSE253161 Scalable ultra-high-throughput single-cell chromatin and RNA sequencing reveals gene regulatory dynamics linking macrophage polarization to autoimmune disease [NIH-3T3_K562_RNA_without_blocking] 1 samples shares regulatory
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.