Effects of attenuating astrocytic Ca2+ activity in the medial prefrontal cortex with iβARK on transcriptional profiles in wild-type mice.
RNA-seq (gene expression) · mouse · 17 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
- 17 samples: 5 × female, WT-mCherry, vs 5 × female, WT-iβARK, vs 4 × male, WT-iβARK, vs 3 × male, WT-mCherry,Groups 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.
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 GSE303725_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 PRJNA1297160 and SRA study SRP603767. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 4 replicated groups read from 17 sample titles; they account for 17 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.
- GSM9134771 male, WT-mCherry, 1 male, WT-mCherry,
- GSM9134772 male, WT-mCherry, 2 male, WT-mCherry,
- GSM9134773 male, WT-mCherry, 3 male, WT-mCherry,
- GSM9134774 male, WT-iβARK, 1 male, WT-iβARK,
- GSM9134775 male, WT-iβARK, 2 male, WT-iβARK,
- GSM9134776 male, WT-iβARK, 3 male, WT-iβARK,
- GSM9134777 male, WT-iβARK, 4 male, WT-iβARK,
- GSM9134778 female, WT-mCherry, 1 female, WT-mCherry,
- GSM9134779 female, WT-mCherry, 2 female, WT-mCherry,
- GSM9134780 female, WT-mCherry, 3 female, WT-mCherry,
- GSM9134781 female, WT-mCherry, 4 female, WT-mCherry,
- GSM9134782 female, WT-mCherry, 5 female, WT-mCherry,
- GSM9134783 female, WT-iβARK, 1 female, WT-iβARK,
- GSM9134784 female, WT-iβARK, 2 female, WT-iβARK,
- GSM9134785 female, WT-iβARK, 3 female, WT-iβARK,
- GSM9134786 female, WT-iβARK, 4 female, WT-iβARK,
- GSM9134787 female, WT-iβARK, 5 female, WT-iβARK,
- GSE272496 Transcriptome signatures of the medial prefrontal cortex underlying GABAergic control of resilience to chronic stress exposure 38 samples shares prefrontal, medial
- GSE276730 The histone lysine demethylase KDM7A contributes to reward memory via Fscn1-induced synaptic plasticity in the medial prefrontal cortex 16 samples shares prefrontal, medial
- GSE330744 Differential physiological, behavioral, and medial prefrontal cortex transcriptomic responses to chronic restraint stress between BALB/c and C57BL/6J mice 12 samples shares prefrontal, medial
- GSE211550 Macrophages adopt mural cell function and marker expression for vascular support following ischemia 1509 samples shares ark
- GSE292885 Transcriptomic Hallmarks of Mortality Reveal Universal and Specific Mechanisms of Aging, Chronic Disease, and Rejuvenation 210 samples shares ark
- GSE299686 Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [bulk RNA-seq] 178 samples shares ark
- GSE300534 Brain Mecp2 Genetic Dosage and Gene Therapy Shape Multi-omics Signatures and Biomarkers in Rett Syndrome [1] 137 samples shares ark
- GSE300536 Brain Mecp2 Genetic Dosage and Gene Therapy Shape Multi-omics Signatures and Biomarkers in Rett Syndrome [2] 137 samples shares ark
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.