Proteasome gene expression is controlled by the coordinated functions of multiple transcription factors
RNA-seq (gene expression) · mouse · 23 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
- 23 samples
- 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 GSE232348_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 PRJNA971654 and SRA study SRP438986. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 23 more — browse all 23 samples with per-sample file links →
- GSE281037 Large-scale transcriptomic analyses reveal downstream target genes of ZFY1 and ZFY2 transcription factors in male germ cells 48 samples shares transcription, factors
- GSE281823 Transcriptional profiling of striatum from the Q140 mouse model of Huntington's disease, from A rare genetic variant confers resistance to neurodegeneration across multiple neurological disorders by augmenting selective autophagy 40 samples shares transcription, multiple
- GSE282280 DNA methylation-sensitive transcription factors and bivalency orchestrate transposon expression in the absence of DNA methylation. 93 samples shares transcription, factors
- GSE326173 Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by regulating expression of AP-1 transcription factors and their target genes [ChIP-seq] 42 samples shares transcription, factors
- 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
- 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
- GSE281941 Klf5 functions as a multi-lineage reprogramming transcription factor 30 samples shares transcription, functions
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.