Microenvironmental signals combine to induce non-additive molecular and phenotypic responses in mammary epithelial cells
RNA-seq (gene expression) · human · 27 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 27 samples: 9 conditions, mostly in triplicateGroups 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
- Microenvironmental signals combine to induce non-additive molecular and phenotypic responses in mammary epithelial cellsiScience · 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 GSE282654_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1189550 and SRA study SRP547047. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 27 samples.
How we read this: 9 replicated groups read from 27 sample titles; they account for 27 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.
- GSM8648210 MCF10A_T0Ctrl_Replicate1 MCF10A_T0Ctrl
- GSM8648211 MCF10A_PBS_Replicate1 MCF10A_PBS
- GSM8648212 MCF10A_EGF_Replicate1 MCF10A_EGF
- GSM8648213 MCF10A_EGFTGFB_Replicate1 MCF10A_EGFTGFB
- GSM8648214 MCF10A_OSM_Replicate1 MCF10A_OSM
- GSM8648215 MCF10A_TGFB_Replicate1 MCF10A_TGFB
- GSM8648216 MCF10A_OSMTGFB_Replicate1 MCF10A_OSMTGFB
- GSM8648217 MCF10A_EGFOSM_Replicate1 MCF10A_EGFOSM
- GSM8648218 MCF10A_OSMTGFBEGF_Replicate1 MCF10A_OSMTGFBEGF
- GSM8648219 MCF10A_T0Ctrl_Replicate2 MCF10A_T0Ctrl
- GSM8648220 MCF10A_PBS_Replicate2 MCF10A_PBS
- GSM8648221 MCF10A_EGF_Replicate2 MCF10A_EGF
- GSM8648222 MCF10A_EGFTGFB_Replicate2 MCF10A_EGFTGFB
- GSM8648223 MCF10A_OSM_Replicate2 MCF10A_OSM
- GSM8648224 MCF10A_TGFB_Replicate2 MCF10A_TGFB
- GSM8648225 MCF10A_OSMTGFB_Replicate2 MCF10A_OSMTGFB
- GSM8648226 MCF10A_EGFOSM_Replicate2 MCF10A_EGFOSM
- GSM8648227 MCF10A_OSMTGFBEGF_Replicate2 MCF10A_OSMTGFBEGF
- GSM8648228 MCF10A_T0Ctrl_Replicate3 MCF10A_T0Ctrl
- GSM8648229 MCF10A_PBS_Replicate3 MCF10A_PBS
- GSM8648230 MCF10A_EGF_Replicate3 MCF10A_EGF
- GSM8648231 MCF10A_EGFTGFB_Replicate3 MCF10A_EGFTGFB
- GSM8648232 MCF10A_OSM_Replicate3 MCF10A_OSM
- GSM8648233 MCF10A_TGFB_Replicate3 MCF10A_TGFB
- GSM8648234 MCF10A_OSMTGFB_Replicate3 MCF10A_OSMTGFB
- GSM8648235 MCF10A_EGFOSM_Replicate3 MCF10A_EGFOSM
- GSM8648236 MCF10A_OSMTGFBEGF_Replicate3 MCF10A_OSMTGFBEGF
- GSE328981 Quantum Molecular Resonance attenuates an oxidative stress-induced chimeric transcriptome program in human retinal pigment epithelial cells, preserving RNA structural fidelity 108 samples shares epithelial, induce
- GSE303051 Prolonged KRAS-MAPK Inhibition Induces Interferon-mediated Epithelial-to-Mesenchymal Transition and Reveals Therapeutic Opportunities. 30 samples shares epithelial, induce
- GSE267788 Mechanical stretch induces senescence of alveolar epithelial cells and drives fibroblast activation by paracrine mechanisms 25 samples shares epithelial, induce
- GSE272820 Multi-omics datasets for finer-scale dissection of chromatin architecture alterations in radiation induced malignant transformation of bronchial epithelial cells [Micro-C] 12 samples shares epithelial, induce
- GSE303106 Prolonged KRAS-MAPK Inhibition Induces Interferon-mediated Epithelial-to-Mesenchymal Transition and Reveals Therapeutic Opportunities [cut and run-ChipSeq] 9 samples shares epithelial, induce
- GSE292059 Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab 965 samples shares epithelial
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares microenvironmental
- GSE275647 Role of Cancer-Associated Fibroblasts in Prognostic Stratification of Advanced-Stage Gastric Cancer through Interacting with Endothelial and Malignant Epithelial Cells [AGC RNA-seq] 216 samples shares epithelial
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.