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Effects of ENO1 knockdown and LPS+Lactate stimulation on EA.HY926 cells

GSE281679 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/01/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
Homo sapiens (human)
Samples
12 samples: 3 × EA.HY926, without stimulation, vs 3 × EA.HY926, with LPS+lactate stimulation, vs 3 × EA.HY926, ENO1 knockdown with siRNA, vs 3 × EA.HY926, LPS+lactate stimulation after ENO1 knockdown with siRNA,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.
Paper
Targeting the lactylation of ENO1 alleviates endothelial dysfunction in sepsisClinical and translational medicine · 2026
Summary (written by the submitters)
Elevated lactate was associated with vascular endothelial cells (ECs) dysfunction in sepsis. However, the underlying mechanisms remain to be defined. In this study, we found that elevated lactate in sepsis promotes lactylation of enolase 1 (ENO1) at K71 site through the action of lactyltransferase P300. The lactylation at ENO1 K71 site reduces the binding of TRIM21(an E3 ubiquitin ligase) mRNA to ENO1 (an RNA-binding protein), resulting in enhanced TRIM21 mRNA stability and expression.
Read the full summary ↓
Elevated TRIM21 can bind to VE-Cadherin and exert its E3 ubiquitin ligase function, causing the ubiquitination and degradation of VE-Cadherin, which disrupts endothelial adhesions junctions (AJs) and increases endothelial permeability. Targeting lactylation of ENO1 K71 via a specific peptide alleviated endothelial injury and enhanced survival rates among septic mice. These findings suggest that lactyaltion of ENO1 plays a pivotal role in vascular endothelial dysfuncyion during sepsis, while inhibiting lactylation may offer a novel strategy for sepsis treatment.
Published in
Targeting the lactylation of ENO1 alleviates endothelial dysfunction in sepsis
Xie X, Liu T, Zhang C et al. · Clinical and translational medicine 2026 · PMID 41532698 · doi:10.1002/ctm2.70597
This dataset
Open GSE281679 in finder → Find more human 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 GSE281679_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 PRJNA1185214 and SRA study SRP544720. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41532698) ↗
Study design
3 × EA.HY926, without stimulation, vs 3 × EA.HY926, with LPS+lactate stimulation, vs 3 × EA.HY926, ENO1 knockdown with siRNA, vs 3 × EA.HY926, LPS+lactate stimulation after ENO1 knockdown with siRNA,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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