Aged muscle stem cells epigenetically drive the expansion of mesenchymal progenitors [bulk RNA-Seq]
RNA-seq (gene expression) · mouse · 31 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
- 31 samples: 10 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
- Epigenetic dysregulation in aged muscle stem cells drives mesenchymal progenitor expansion via IL-6 and Spp1 signalingNature aging · 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 GSE282285_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 PRJNA1188066 and SRA study SRP546161. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 31 samples.
How we read this: 10 replicated groups read from 31 sample titles; they account for 31 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.
- GSM8640520 MuSC_Ctrl_3dpi_1 MuSC_Ctrl_3dpi
- GSM8640521 MuSC_Ctrl_3dpi_2 MuSC_Ctrl_3dpi
- GSM8640522 MuSC_Ctrl_3dpi_3 MuSC_Ctrl_3dpi
- GSM8640523 MuSC_Ctrl_3dpi_4 MuSC_Ctrl_3dpi
- GSM8640524 MuSC_iEzh2KO_3dpi_1 MuSC_iEzh2KO_3dpi
- GSM8640525 MuSC_iEzh2KO_3dpi_2 MuSC_iEzh2KO_3dpi
- GSM8640526 MuSC_iEzh2KO_3dpi_3 MuSC_iEzh2KO_3dpi
- GSM8640527 FAP_Ctrl_3dpi_1 FAP_Ctrl_3dpi
- GSM8640528 FAP_Ctrl_3dpi_2 FAP_Ctrl_3dpi
- GSM8640529 FAP_Ctrl_3dpi_3 FAP_Ctrl_3dpi
- GSM8640530 FAP_Ctrl_3dpi_4 FAP_Ctrl_3dpi
- GSM8640531 FAP_iEzh2KO_3dpi_1 FAP_iEzh2KO_3dpi
- GSM8640532 FAP_iEzh2KO_3dpi_2 FAP_iEzh2KO_3dpi
- GSM8640533 FAP_iEzh2KO_3dpi_3 FAP_iEzh2KO_3dpi
- GSM8640534 FAP_iEzh2KO_3dpi_4 FAP_iEzh2KO_3dpi
- GSM8640535 MuSC_Ctrl_7dpi_1 MuSC_Ctrl_7dpi
- GSM8640536 MuSC_Ctrl_7dpi_2 MuSC_Ctrl_7dpi
- GSM8640537 MuSC_Ctrl_7dpi_3 MuSC_Ctrl_7dpi
- GSM8640538 MuSC_iEzh2KO_7dpi_1 MuSC_iEzh2KO_7dpi
- GSM8640539 MuSC_iEzh2KO_7dpi_2 MuSC_iEzh2KO_7dpi
- GSM8640540 MuSC_iEzh2KO_7dpi_3 MuSC_iEzh2KO_7dpi
- GSM8640541 FAP_Ctrl_7dpi_1 FAP_Ctrl_7dpi
- GSM8640542 FAP_Ctrl_7dpi_2 FAP_Ctrl_7dpi
- GSM8640543 FAP_iEzh2KO_7dpi_1 FAP_iEzh2KO_7dpi
- GSM8640544 FAP_iEzh2KO_7dpi_2 FAP_iEzh2KO_7dpi
- GSM9035695 MuSC_Ctrl_quiescent_1 MuSC_Ctrl_quiescent
- GSM9035696 MuSC_Ctrl_quiescent_2 MuSC_Ctrl_quiescent
- GSM9035697 MuSC_Ctrl_quiescent_3 MuSC_Ctrl_quiescent
- GSM9035698 MuSC_iEzh2KO_quiescent_1 MuSC_iEzh2KO_quiescent
- GSM9035699 MuSC_iEzh2KO_quiescent_2 MuSC_iEzh2KO_quiescent
- GSM9035700 MuSC_iEzh2KO_quiescent_3 MuSC_iEzh2KO_quiescent
- GSE282342 Aged muscle stem cells epigenetically drive the expansion of mesenchymal progenitors 48 samples shares epigenetically, mesenchymal, progenitors, expansion, muscle, drive, aged
- GSE291075 The transcription factor NFIL3 drives innate lymphoid cell specification from lymphoid progenitors [RNA-seq - ex vivo, Nfil3] 27 samples shares progenitors, rna-seq, drive
- GSE229129 Conserved transcriptional regulation by BRN1 and BRN2 in neocortical progenitors drives mammalian neural specification and neocortical expansion 13 samples shares progenitors, expansion, drive
- GSE291316 The transcription factor NFIL3 drives innate lymphoid cell specification from lymphoid progenitors [RNA-seq - Tox] 12 samples shares progenitors, rna-seq, drive
- GSE291076 The transcription factor NFIL3 drives innate lymphoid cell specification from lymphoid progenitors [RNA-seq - Il7rLT] 12 samples shares progenitors, rna-seq, drive
- GSE326003 The differentiation of myeloid progenitors is effected by cascading waves of coordinated gene expression that remodel cellular physiology in a characteristic sequence [RNA-seq] 165 samples shares progenitors, rna-seq
- GSE294362 Aged bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes 80 samples shares mesenchymal, aged
- GSE263808 RNA-seq of O4+ oligodendrocyte progenitors isolated from P5 and P60 mice 32 samples shares progenitors, rna-seq
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.