Fibroblast Growth Factor Receptor Signaling in Maturing Osteoblasts Controls Cell-Matrix Interactions Critical for Osteocyte Survival
RNA-seq (gene expression) · mouse · 8 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
- 8 samples: 2 × fn vs 2 × fkGroups 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
- Fibroblast Growth Factor Receptor Signaling in Maturing Osteoblasts Controls Cell-Matrix Interactions Critical for Osteocyte SurvivalbioRxiv : the preprint server for biology · 2026
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 GSE316171_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 PRJNA1401751 and SRA study SRP661477. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 4 samples.
How we read this: 2 replicated groups read from 8 sample titles; they account for 4 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.
- GSM9446281 fn8 fn
- GSM9446282 dn15
- GSM9446283 fn3 fn
- GSM9446284 dq2
- GSM9446285 eb3
- GSM9446286 dz8
- GSM9446287 fk5 fk
- GSM9446288 fk1 fk
- GSE254162 Dynamic fibroblast-immune interactions shape recovery after brain injury [snRNASeq_Timecourse] 12 samples shares interactions, fibroblast
- GSE254164 Dynamic fibroblast-immune interactions shape recovery after brain injury 26 samples shares interactions, fibroblast
- GSE229916 Pericytes and perivascular fibroblasts contribute to central nervous system fibrosis in a region dependent manner 832 samples shares fibroblast
- GSE274992 Splenic fibroblasts control marginal zone B-cell movement and function via two distinct Notch2-dependent regulatory programs 119 samples shares fibroblast
- GSE278548 Metabolic modeling reveals the aging-associated decline of host-microbiome metabolic interactions in mice 119 samples shares interactions
- GSE278990 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity 73 samples shares fibroblast
- GSE252621 Interactions of Polychlorinated Biphenyls and Their Metabolites with the Brain and Liver Transcriptome of Female Mice 62 samples shares interactions
- GSE300176 Molecular Signatures and Signaling Interactions of the Hair Follicle Stem Cell Niche 56 samples shares interactions
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.