Lactylation-driven NSUN2-mediated RNA m5C modification promotes perineural invasion in pancreatic cancer [mRNA-seq]
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
Read the full summary ↓
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.
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.
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).
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.
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.
- GSM9041882 p1_lac1 p1_lac
- GSM9041883 p1_lac2 p1_lac
- GSM9041884 p1_lac3 p1_lac
- GSM9041885 p1_nc1 p1_nc
- GSM9041886 p1_nc2 p1_nc
- GSM9041887 p1_nc3 p1_nc
- GSM9041888 p1-sinc1 p1-sinc
- GSM9041889 p1-sinc2 p1-sinc
- GSM9041890 p1-sinc3 p1-sinc
- GSM9041891 p1_si1 p1_si
- GSM9041892 p1_si2 p1_si
- GSM9041893 p1_si3 p1_si
- GSE102238 Gene expression signatures associated with Perineural Invasion in pancreatic ductal adenocarcinoma 100 samples same disease briefing · shares perineural, pancreatic, invasion
- GSE143584 Gene expression from laser capture microdissected epithelium and stroma during pancreatic carcinogenesis 366 samples same disease briefing · shares pancreatic
- GSE113616 Stromal Fibroblasts Drive Single Cell Heterogeneity in Pancreatic Cancer 189 samples same disease briefing · shares pancreatic
- GSE179351 Radiation Therapy Inhances Immunotherapy Response in Microsatellite-stable Colorectal and Pancreatic Adenocarcinoma in a Phase II Trial 54 samples same disease briefing · shares pancreatic
- GSE148188 NOXA dependent induction of apoptosis in pancreatic cancer cells 49 samples same disease briefing · shares pancreatic
- GSE288221 RNA sequencing human melanoma, glioblastoma and pancreatic adenocarcinoma cell lines 32 samples same disease briefing · shares pancreatic
- GSE111672 Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas 23 samples same disease briefing · shares pancreatic
- GSE150043 Deeper insight into Pancreatic Ductal Adenocarcinoma (PDAC) survival heterogeneity using integrative analyses of individual and global transcriptome based networks 19 samples same disease briefing · shares pancreatic
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.