Bruton’s tyrosine kinase inhibitor leads to bidirectional transcript regulation of Nurr1: A new key to Parkinson’s disease
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 5 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.
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 GSE279704_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 PRJNA1174120 and SRA study SRP539133. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8578414 Con_brain_1 Con_brain
- GSM8578415 Con_brain_2 Con_brain
- GSM8578416 Con_brain_3 Con_brain
- GSM8578417 Levo_brain_1 Levo_brain
- GSM8578418 Levo_brain_2 Levo_brain
- GSM8578419 Levo_brain_3 Levo_brain
- GSM8578420 MPTP_brain_1 MPTP_brain
- GSM8578421 MPTP_brain_2 MPTP_brain
- GSM8578422 MPTP_brain_3 MPTP_brain
- GSM8578423 BTK_H_brain_1 BTK_H_brain
- GSM8578424 BTK_H_brain_2 BTK_H_brain
- GSM8578425 BTK_H_brain_3 BTK_H_brain
- GSM8578426 BTK_L_brain_1 BTK_L_brain
- GSM8578427 BTK_L_brain_2 BTK_L_brain
- GSM8578428 BTK_L_brain_3 BTK_L_brain
- GSE314817 Multi-tissue, multi-time-point transcriptomic atlas of aging in mice and rats [mouse] 2432 samples shares transcript
- GSE293709 Transcriptome analysis in the prefrontal cortex of different ASD mouse models treated with drug 1565 samples shares transcript
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares transcript
- GSE316925 Transcriptome changes in trigeminal ganglia in the mouse chronic constriction injury of the infraorbital nerve model - role of TRPM3. 136 samples shares transcript
- GSE225576 An atlas of the aging mouse transcriptome and proteome reveals the features of age-related post-transcriptional dysregulation 128 samples shares transcript
- GSE319608 Enhanced antisense oligonucleotide delivery reveals that transcript turnover impacts apparent splicing rescue in myotonic dystrophy 98 samples shares transcript
- GSE185862 A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation 95 samples shares transcript
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares transcript
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.