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Lactylation-driven NSUN2-mediated RNA m5C modification promotes perineural invasion in pancreatic cancer [mRNA-seq]

GSE299600 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/06/15 Platform GPL29480
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)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × p1_lac vs 3 × p1_nc vs 3 × p1-sinc vs 3 × p1_siGroups 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
Lactylation-driven NSUN2-mediated RNA m5C modification promotes perineural invasion in pancreatic cancerTheranostics · 2026
Summary (written by the submitters)
Lactylation, a metabolic stress-induced modification, plays a pivotal role in regulating diverse biological processes. Its involvement in perineural invasion (PNI) of pancreatic ductal adenocarcinoma (PDAC), however, has not been clearly defined. Our study demonstrates that patients with severe PNI exhibit significantly elevated levels of global lactylation and lactate, correlating with poorer prognosis.
Read the full summary ↓
We identified NSUN2, a methyltransferase, as a crucial mediator of lactylation-driven PNI. Inhibition of lactylation or NSUN2 markedly reduced the neural infiltration capabilities of tumor cells. Mechanistically, lactate accumulation leads to the lactylation of NSUN2 at lysine 692 (K692), subsequently inhibiting its ubiquitination and degradation. lactylation of NSUN2 mediated m5C modification on CDCP1 and STC11 mRNA, enhanced their mRNA stability. Consistently, analyses using a KPC mouse model demonstrated that the lactylation of NSUN2/CDCP1/STC11 axis enhanced PNI through m5C modification. Our findings reveal that lactylation-driven NSUN2-mediated RNA m5C modification plays a pivotal role in promoting PNI and suggest that targeting NSUN2 could offer a promising therapeutic strategy for PDAC.
Published in
Lactylation-driven NSUN2-mediated RNA m5C modification promotes perineural invasion in pancreatic cancer
Huang T, Hu C, Chen H et al. · Theranostics 2026 · PMID 41356184 · doi:10.7150/thno.122294
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 GSE299600_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 PRJNA1275063 and SRA study SRP591447. Searching any of these in the dataset finder brings you back here.

Study design
3 × p1_lac vs 3 × p1_nc vs 3 × p1-sinc vs 3 × p1_si

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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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.