Phosphatase-independent activity of smooth-muscle calcineurin orchestrates a gene expression program leading to arterial hypertension
RNA-seq (gene expression) · mouse · 40 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
- 40 samples: 14 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
- Phosphatase-independent activity of smooth-muscle calcineurin orchestrates a gene expression program leading to hypertensionPLoS biology · 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 GSE255061_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 PRJNA1073452 and SRA study SRP488159. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 40 samples.
How we read this: 14 replicated groups read from 40 sample titles; they account for 40 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.
- GSM8063210 Cn-Ctl basal 2 Cn-Ctl basal
- GSM8063211 Cn-Ctl basal 3 Cn-Ctl basal
- GSM8063212 Cn-Ctl Ang-II 2h 1 Cn-Ctl Ang-II 2h
- GSM8063213 Cn-Ctl Ang-II 2h 2 Cn-Ctl Ang-II 2h
- GSM8063214 Cn-Ctl Ang-II 2h 3 Cn-Ctl Ang-II 2h
- GSM8063215 Cn-Ctl Ang-II 6h 1 Cn-Ctl Ang-II 6h
- GSM8063216 Cn-Ctl Ang-II 6h 2 Cn-Ctl Ang-II 6h
- GSM8063217 Cn-Ctl Ang-II 6h 3 Cn-Ctl Ang-II 6h
- GSM8063218 Cn-Ctl Ang-II 24h 2 Cn-Ctl Ang-II 24h
- GSM8063219 Cn-Ctl Ang-II 24h 3 Cn-Ctl Ang-II 24h
- GSM8063220 SM-Cn-/- basal 1 SM-Cn-/- basal
- GSM8063221 SM-Cn-/- basal 2 SM-Cn-/- basal
- GSM8063222 SM-Cn-/- basal 3 SM-Cn-/- basal
- GSM8063223 SM-Cn-/- Ang-II 2h 1 SM-Cn-/- Ang-II 2h
- GSM8063224 SM-Cn-/- Ang-II 2h 2 SM-Cn-/- Ang-II 2h
- GSM8063225 SM-Cn-/- Ang-II 2h 3 SM-Cn-/- Ang-II 2h
- GSM8063226 SM-Cn-/- Ang-II 6h 1 SM-Cn-/- Ang-II 6h
- GSM8063227 SM-Cn-/- Ang-II 6h 2 SM-Cn-/- Ang-II 6h
- GSM8063228 SM-Cn-/- Ang-II 6h 3 SM-Cn-/- Ang-II 6h
- GSM8063229 SM-Cn-/- Ang-II 24h 1 SM-Cn-/- Ang-II 24h
- GSM8063230 SM-Cn-/- Ang-II 24h 2 SM-Cn-/- Ang-II 24h
- GSM8063231 SM-Cn-/- Ang-II 24h 3 SM-Cn-/- Ang-II 24h
- GSM8063232 WT basal 1 WT basal
- GSM8063233 WT basal 2 WT basal
- GSM8063234 WT basal 3 WT basal
- GSM8063235 WT Ang-II 2h 1 WT Ang-II 2h
- GSM8063236 WT Ang-II 2h 2 WT Ang-II 2h
- GSM8063237 WT Ang-II 2h 3 WT Ang-II 2h
- GSM8063238 WT Ang-II 24h 1 WT Ang-II 24h
- GSM8063239 WT Ang-II 24h 2 WT Ang-II 24h
- GSM8063240 WT Ang-II 24h 3 WT Ang-II 24h
- GSM8063241 CsA basal 1 CsA basal
- GSM8063242 CsA basal 2 CsA basal
- GSM8063243 CsA basal 3 CsA basal
- GSM8063244 CsA Ang-II 2h 1 CsA Ang-II 2h
- GSM8063245 CsA Ang-II 2h 2 CsA Ang-II 2h
- GSM8063246 CsA Ang-II 2h 3 CsA Ang-II 2h
- GSM8063247 CsA Ang-II 24h 1 CsA Ang-II 24h
- GSM8063248 CsA Ang-II 24h 2 CsA Ang-II 24h
- GSM8063249 CsA Ang-II 24h 3 CsA Ang-II 24h
- GSE316584 MicroRNA-224 Orchestrates the BMP Pathway and Represents a New Therapeutic Target for Pulmonary Arterial Hypertension 9 samples shares orchestrates, hypertension, arterial
- GSE316502 Transcriptomic Profiling of the Sex-linked Biological Pathways of Severe Pulmonary Arterial Hypertension associated with Endothelial Cell Caveolin-1 Depletion and Chronic Hypoxia 35 samples shares hypertension, arterial
- GSE269318 Cancer-intrinsic Cxcl5 orchestrates global metabolic reprogramming of three dimensional cancers by upregulating Hif1α and Myc expression 31 samples shares orchestrates, program
- GSE305242 Effects of Sphk1 deletion in smooth muscle cells on murine arterial transcriptome in hypertension 26 samples shares hypertension, arterial
- GSE279193 BHLHE40 Orchestrates TL1A-Driven ILC3 Effector Programs and RORγt⁺ APC-Mediated Tolerance 24 samples shares orchestrates, program
- GSE90894 Cooperative binding of Oct4, Sox2, and Klf4 with stage-specific transcription factors orchestrates reprogramming [RNA-seq] 22 samples shares orchestrates, program
- GSE315475 Mice with targeted deletion of the Vasoactive Intestinal Peptide (VIP) gene have spontaneous pulmonary arterial hypertension exaggerated with hypoxia 20 samples shares hypertension, arterial
- GSE99296 α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming 18 samples shares orchestrates, program
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.