Differential roles of copper-binding transcription factors and the subfamilies of the SWI/SNF complex in the transcriptional regulation of the skeletal muscle lineage
RNA-seq (gene expression) · mouse · 36 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
- 36 samples: 12 conditions, mostly in duplicateGroups 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
- The PBAF chromatin remodeling complex contributes to metal homeostasis through MTF1 regulationMetallomics : integrated biometal science · 2026
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 GSE253379_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 PRJNA1065431 and SRA study SRP484009. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 12 replicated groups read from 36 sample titles; they account for 24 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.
- GSM8019405 Prol_rep1_Cu_IgG_lib
- GSM8019406 Prol_rep1_Cu_MTF1_lib
- GSM8019407 Prol_rep1_no_treatment_IgG_lib
- GSM8019408 Prol_rep1_no_treatment_MTF1_lib
- GSM8019409 Prol_rep2_Cu_IgG_lib
- GSM8019410 Prol_rep2_Cu_MTF1_lib
- GSM8019411 Prol_rep2_no_treatment_IgG_lib
- GSM8019412 Prol_rep2_no_treatment_MTF1_lib
- GSM8019413 Prol_rep3_Cu_IgG_lib
- GSM8019414 Prol_rep3_Cu_MTF1_lib
- GSM8019415 Prol_rep3_no_treatment_IgG_lib
- GSM8019416 Prol_rep3_no_treatment_MTF1_lib
- GSM8019417 BAF180_Cu_RNA-seq_Rep1 BAF180_Cu_RNA-seq
- GSM8019418 BAF180_Cu_RNA-seq_Rep2 BAF180_Cu_RNA-seq
- GSM8019419 BAF180_notreat_RNA-seq_Rep1 BAF180_notreat_RNA-seq
- GSM8019420 BAF180_notreat_RNA-seq_Rep2 BAF180_notreat_RNA-seq
- GSM8019421 BAF180_Zn_RNA-seq_Rep1 BAF180_Zn_RNA-seq
- GSM8019422 BAF180_Zn_RNA-seq_Rep2 BAF180_Zn_RNA-seq
- GSM8019423 BAF250_Cu_RNA-seq_Rep1 BAF250_Cu_RNA-seq
- GSM8019424 BAF250_Cu_RNA-seq_Rep2 BAF250_Cu_RNA-seq
- GSM8019425 BAF250_notreat_RNA-seq_Rep1 BAF250_notreat_RNA-seq
- GSM8019426 BAF250_notreat_RNA-seq_Rep2 BAF250_notreat_RNA-seq
- GSM8019427 BAF250_Zn_RNA-seq_Rep1 BAF250_Zn_RNA-seq
- GSM8019428 BAF250_Zn_RNA-seq_Rep2 BAF250_Zn_RNA-seq
- GSM8019429 BRD9_Cu_RNA-seq_Rep1 BRD9_Cu_RNA-seq
- GSM8019430 BRD9_Cu_RNA-seq_Rep2 BRD9_Cu_RNA-seq
- GSM8019431 BRD9_notreat_RNA-seq_Rep1 BRD9_notreat_RNA-seq
- GSM8019432 BRD9_notreat_RNA-seq_Rep2 BRD9_notreat_RNA-seq
- GSM8019433 BRD9_Zn_RNA-seq_Rep1 BRD9_Zn_RNA-seq
- GSM8019434 BRD9_Zn_RNA-seq_Rep2 BRD9_Zn_RNA-seq
- GSM8019435 SCR_Cu_RNA-seq_Rep1 SCR_Cu_RNA-seq
- GSM8019436 SCR_Cu_RNA-seq_Rep2 SCR_Cu_RNA-seq
- GSM8019437 SCR_notreat_RNA-seq_Rep1 SCR_notreat_RNA-seq
- GSM8019438 SCR_notreat_RNA-seq_Rep2 SCR_notreat_RNA-seq
- GSM8019439 SCR_Zn_RNA-seq_Rep1 SCR_Zn_RNA-seq
- GSM8019440 SCR_Zn_RNA-seq_Rep2 SCR_Zn_RNA-seq
- GSE248369 The Swi/Snf chromatin remodeling complex regulates pancreatic endocrine cell expansion and differentiation in vivo 10 samples shares swi, snf
- GSE283382 N6-methyladenosine modulate second cell fate decision by enhancing mRNA stability of pivotal transcription factors during primitive endoderm development [TBLC_RNAseq] 98 samples shares transcription, factors
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares transcription, differential
- GSE282280 DNA methylation-sensitive transcription factors and bivalency orchestrate transposon expression in the absence of DNA methylation. 93 samples shares transcription, factors
- GSE281037 Large-scale transcriptomic analyses reveal downstream target genes of ZFY1 and ZFY2 transcription factors in male germ cells 48 samples shares transcription, factors
- GSE273878 Cancer-induced FOXP1 disrupts and reprograms skeletal muscle circadian transcription in cachexia [circadian RNA-seq] 48 samples shares transcription, skeletal
- GSE283958 Cohesin recruitment to promoters and enhancers by general transcription factors and chromatin regulators 47 samples shares transcription, factors
- GSE243165 Signal-responsive transcription factors cooperate to establish alveolar macrophage identity 42 samples shares transcription, factors
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.