Modeling the chondrocyte-derived osteoblasts formation process reveals its molecular signature and regulation network
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × D7 vs 3 × D8 vs 3 × D10 vs 3 × D28Groups 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
- Modeling the chondrocyte-derived osteoblasts formation process reveals its molecular signature and regulation networkBone research · 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 GSE243090_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 PRJNA1016351 and SRA study SRP460225. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7779129 D7 rep 1 D7
- GSM7779130 D7 rep 2 D7
- GSM7779131 D7 rep 3 D7
- GSM7779132 D8 rep 1 D8
- GSM7779133 D8 rep 2 D8
- GSM7779134 D8 rep 3 D8
- GSM7779135 D10 rep 1 D10
- GSM7779136 D10 rep 2 D10
- GSM7779137 D10 rep 3 D10
- GSM7779138 D28 rep 1 D28
- GSM7779139 D28 rep 2 D28
- GSM7779140 D28 rep 3 D28
- GSE313112 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-Seq MC38] 69 samples shares formation, process
- GSE253848 Mechano-oncogenic cytoskeletal remodeling drives leukemic transformation with mitochondrial vesicle-mediated STING activation 54 samples shares formation, modeling
- GSE255212 Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interaction during Primordial Follicle Activation 762 samples shares signature
- GSE291420 Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice 270 samples shares signature
- GSE239946 Signatures of IL1b, IL6 and TNFa in immune cell-types 209 samples shares signature
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares signature
- GSE300534 Brain Mecp2 Genetic Dosage and Gene Therapy Shape Multi-omics Signatures and Biomarkers in Rett Syndrome [1] 137 samples shares signature
- GSE300536 Brain Mecp2 Genetic Dosage and Gene Therapy Shape Multi-omics Signatures and Biomarkers in Rett Syndrome [2] 137 samples shares signature
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.