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Pannexin 1 phosphorylation sites differentially modulate channel activity and physiological outcomes

GSE335251 Mus musculus (mouse) RNA-seq (gene expression) 26 samples Submitted 2026/07/12 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 26 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
26 samples: 8 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.
Summary (written by the submitters)
Within the vasculature, pannexin 1 (PANX1) channels in smooth muscle cells (SMCs) regulate α-adrenergic constriction and blood pressure. PANX1 channel activity is regulated by phosphorylation at Y198, S205 and Y308 residues, but the physiological significance of these modifications is unknown. Here we utilize newly developed PANX1 Y198F, S205A and Y308F phospho-dead mutant mice to test physiological changes related to hemodynamics.
Read the full summary ↓
Radiotelemetry-measured blood pressure was decreased in Y198F, increased in Y308F, but unchanged in S205A mice at baseline. During sympathetic-driven hypertension, only Y198F mice showed decreases in blood pressure, with reductions resembling control mice treated with the sympathetic inhibitor clonidine. Pressure myography revealed α-adrenergic contractile responses were decreased in Y198F, slightly enhanced in Y308F, but unchanged in S205A third-order mesenteric arteries; with Y198F responses mimicking control vessels treated with PANX1 inhibitors. To understand signaling changes driving these phenotypes, we performed mesenteric artery bulk RNA sequencing but found a minimal number of differentially expressed genes between phospho-dead mutant and controls. Similarly, co-immunoprecipitation-mass spectrometry of wildtype or phospho-dead mutant-expressing vascular SMCs revealed few interacting proteins distinct to each PANX1 variant. However, PANX1 channel activity assessments in HEK293T cells expressing the α1D-adrenergic receptor and each phospho-dead mutant PANX1 showed phenylephrine-induced ATP release from Y198F channels was significantly decreased compared to wildtype, but current was unaffected. Conversely, S205A and Y308F ion flux was reduced, with ATP release resembling controls. Taken together, these findings demonstrate that physiological outcomes are regulated by distinct PANX1 metabolite versus current conducting properties, which are ultimately controlled by PANX1 phosphorylation.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE335251_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1477793 and SRA study SRP709084. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
S205A Control ×4 S205A ×4 Global WT ×3 Global Panx1 KO ×3 Y198F Control ×3 Y198F ×3 Y308F Control ×3 Y308F ×3

Supports a between-group comparison across 26 samples.

How we read this: 8 replicated groups read from 26 sample titles; they account for 26 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.

Samples in this study
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