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L-Chiral Hydrogel Accelerates Wound Healing via Lactate-Mediated RNF123 K57 Lactylation

GSE308113 Rattus norvegicus (rat) RNA-seq (gene expression) 14 samples Submitted 2025/10/17 Platform GPL34284Platform GPL25947
At a glance

RNA-seq (gene expression) · rat · 14 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
Rattus norvegicus (rat)
Samples
14 samples: 4 × L vs 4 × NC vs 3 × W vs 3 × MGroups 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
A Chiral Hydrogel Accelerates Wound Healing via the Lactylation of Ring Finger Protein 123ACS applied materials & interfaces · 2026
Summary (written by the submitters)
Chronic wounds, characterized by delayed healing and persistent inflammation, represent a major clinical burden with limited effective therapies. Inspired by the stereoselective interactions in biological systems, we developed an L-chiral hydrogel composed of self-assembled helical nanofibers from L-histidine derivatives, which preferentially enriches lactate to promote wound repair.
Read the full summary ↓
Compared to D-chiral and racemic hydrogels, the L-chiral hydrogel significantly accelerated wound closure in rat models, achieving nearly 90% healing by day 14 and reducing healing time to 16-17 days. Transcriptomic and metabolomic analyses revealed enhanced wound response pathways and elevated lactate levels in the L-chiral group. Mechanistically, enriched lactate induced K57 lactylation of RNF123, mediated by AARS1, altering RNF123 conformation and weakening its binding to UBAC1. This modification enhanced ubiquitination and processing of NF-κB p105 into p50, inhibiting the NF-κB pathway and promoting angiogenesis via enhanced endothelial cell migration, tube formation, and sprouting. Rescue experiments with lactate inhibitor Oxamate and exogenous lactate confirmed the lactate-dependent mechanism. This study not only demonstrates a drug-free chiral biomaterial for efficient wound healing but also unveils the molecular role of lactate-mediated lactylation in mechanoregulating inflammation and vascularization, offering new insights for regenerative medicine. 
Published in
A Chiral Hydrogel Accelerates Wound Healing via the Lactylation of Ring Finger Protein 123
He R, Liu T, Xing C et al. · ACS applied materials & interfaces 2026 · PMID 41576329 · doi:10.1021/acsami.5c21101
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 GSE308113_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 PRJNA1328754 and SRA study SRP620515. Searching any of these in the dataset finder brings you back here.

Study design
4 × L vs 4 × NC vs 3 × W vs 3 × M

Supports a between-group comparison across 14 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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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