Gene expression analysis of normal mammary gland fibroblasts (NFs) and cancer-associated fibroblasts (CAFs) from the murine breast cancer model MMTV-PyMT after perturbing the expression of Hsp90aa1 and Hsp90ab1 by RNAi
RNA-seq (gene expression) · mouse · 21 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
- Mus musculus (mouse)
- Samples
- 21 samples: 7 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.
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 GSE296064_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 PRJNA1257430 and SRA study SRP582468. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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.
- GSM8964509 NF1_siCtr_Vh_1 NF1_siCtr_Vh
- GSM8964510 NF1_siCtr_TGFβ1_1 NF1_siCtr_TGFβ1
- GSM8964511 NF1_siHsp90aa1_TGFβ1_1 NF1_siHsp90aa1_TGFβ1
- GSM8964512 NF1_siHsp90ab1_TGFβ1_1 NF1_siHsp90ab1_TGFβ1
- GSM8964513 CAF1_siCtr_Vh_1 CAF1_siCtr_Vh
- GSM8964514 CAF1_siHsp90aa1_Vh_1 CAF1_siHsp90aa1_Vh
- GSM8964515 CAF1_siHsp90ab1_Vh_1 CAF1_siHsp90ab1_Vh
- GSM8964516 NF1_siCtr_Vh_2 NF1_siCtr_Vh
- GSM8964517 NF1_siCtr_TGFβ1_2 NF1_siCtr_TGFβ1
- GSM8964518 NF1_siHsp90aa1_TGFβ1_2 NF1_siHsp90aa1_TGFβ1
- GSM8964519 NF1_siHsp90ab1_TGFβ1_2 NF1_siHsp90ab1_TGFβ1
- GSM8964520 CAF1_siCtr_Vh_2 CAF1_siCtr_Vh
- GSM8964521 CAF1_siHsp90aa1_Vh_2 CAF1_siHsp90aa1_Vh
- GSM8964522 CAF1_siHsp90ab1_Vh_2 CAF1_siHsp90ab1_Vh
- GSM8964523 NF1_siCtr_Vh_3 NF1_siCtr_Vh
- GSM8964524 NF1_siCtr_TGFβ1_3 NF1_siCtr_TGFβ1
- GSM8964525 NF1_siHsp90aa1_TGFβ1_3 NF1_siHsp90aa1_TGFβ1
- GSM8964526 NF1_siHsp90ab1_TGFβ1_3 NF1_siHsp90ab1_TGFβ1
- GSM8964527 CAF1_siCtr_Vh_3 CAF1_siCtr_Vh
- GSM8964528 CAF1_siHsp90aa1_Vh_3 CAF1_siHsp90aa1_Vh
- GSM8964529 CAF1_siHsp90ab1_Vh_3 CAF1_siHsp90ab1_Vh
- GSE45256 Genome-wide analysis of gene expression in murine breast fibroblasts from normal tissue, hyperplasia, adenoma and carcinoma (MMTV-PyMT model) 16 samples shares fibroblasts, mmtv-pymt, normal
- GSE306627 TGFβ signaling in cancer-associated fibroblasts drives a hepatic gp130-dependent pro-metastatic inflammatory program in colorectal cancer 42 samples shares cancer-associated, fibroblasts
- GSE254072 A unique genetic signature for cancer-associated fibroblasts in Melanoma metastases 21 samples shares cancer-associated, fibroblasts
- GSE235242 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma suppress CD8+ T cell activation and inhibit response to immune checkpoint therapy [Kras_p53] 14 samples shares cancer-associated, fibroblasts
- GSE308848 Targeting AEBP1 to mitigate pro-tumor activity of cancer-associated fibroblasts and increase therapeutic efficacy to anti-PD-1 [scRNA-Seq] 12 samples shares cancer-associated, fibroblasts
- GSE301078 Targeting AEBP1 to mitigate pro-tumor activity of cancer-associated fibroblasts and increase therapeutic efficacy to anti-PD-1 12 samples shares cancer-associated, fibroblasts
- GSE271805 Lymphoma B cells remodel bone marrow stromal cell network into extracellular matrix-producing cancer-associated fibroblasts (scRNAseq) 4 samples shares cancer-associated, fibroblasts
- GSE280375 Soluble αKlotho interacts with Hsp90aa1 to inhibit the chaperone machinery-mediated Hif1α stabilization and alleviate CKD-induced vascular calcification 12 samples shares hsp90aa1
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.