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A Transient Increase in Cardiomyocyte Protein O-GlcNAcylation Enhances Susceptibility to Pressure Overload-Induced Cardiac Remodeling

GSE298401 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2026/06/12 Platform GPL24247
At a glance

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: 8 conditions, mostly with about 5 replicates eachGroups 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)
The concept of metabolic memory comes from findings that diabetic patients always under tight-glycemic control consistently show better cardiovascular disease outcomes compared to patients who transition to tight-glycemic control after prior conventional glycemic control; mechanisms like epigenetics possibly mediate the lasting metabolic memory effects, however more research into underlying mechanisms is needed.
Read the full summary ↓
Within the diabetic milieu, increased cardiac protein posttranslational O-linked β-N-acetylglucosamine (O-GlcNAc) modification is implicated in cardiac remodeling, and our previous work shows chronically elevated cardiac O-GlcNAc causes adverse cardiac changes. Therefore, the current study hypothesized that transiently increased cardiomyocyte O-GlcNAcylation leads to exacerbated adverse cardiac remodeling after subsequent pressure-overload. Using our previously described inducible cardiomyocyte specific, dominant-negative O-GlcNAcase (dnOGAh) mouse or single transgenic littermate controls (Con), we induced O-GlcNAc levels for 2wk (ON), followed by a 2wk washout (OFF); mice then underwent transverse-aortic constriction (TAC) or Sham surgery. We observed the expected cardiac remodeling in TAC groups, like decreased cardiac function, and increased hypertrophy and fibrosis. However, we see exacerbation of these pathologic measures in the ON/OFF-TAC vs. Con-TAC mice; additionally, transcriptomic analysis of LV-tissue from each experimental group showed pathways which not only supported phenotypic results of furthered cardiac remodeling, but also, revealed potential novel molecular pathways underlying this pathologic remodeling. We observed exacerbated cardiac pathology between ON/OFF-TAC vs. Con-TAC groups supporting the concept of “O-GlcNAc memory” as a component of metabolic memory. Moreover, transcriptomic analysis provides insight into potential molecular pathways underpinning this metabolic/O-GlcNAc memory such as Ccn2/CTGF driven fibrosis, and/or Nox4 driven oxidative stress.
This dataset
Open GSE298401 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE298401_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1269084 and SRA study SRP588367. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 5 replicates each
ONOFF Sham F # ×5 Con TAC F # ×5 ONOFF TAC F # ×5 Con Sham F # ×5 ONOFF TAC M # ×5 Con Sham M # ×5 ONOFF Sham M # ×5 Con TAC M # ×5

Supports a between-group comparison across 40 samples.

How we read this: 8 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.

Samples in this study
Datasets on a similar topic

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