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Induced osteogenic transdifferentiation reprograms malignant phenotypes in pancreatic ductal adenocarcinoma

GSE314240 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/06/18 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Osteogenic-like Phenotypic Reprogramming Is Associated with Reduced Malignant Behaviors in Pancreatic Cancer Cells Involving MAPK-ERK SignalingInternational journal of molecular sciences · 2026
Summary (written by the submitters)
This study characterizes transcriptional changes associated with osteogenic induction in pancreatic ductal adenocarcinoma (PDAC) cell lines. Capan-2 and PANC-1 cells were cultured under control conditions or osteogenic induction and collected at day 0, day 7, and day 14. Bulk RNA sequencing was performed to identify gene expression dynamics during osteogenic reprogramming. Analyses revealed activation of osteogenic markers and related pathways, along with suppression of cell-cycle programs. These datasets provide a transcriptomic framework for understanding osteogenic plasticity in PDAC cells.
Published in
Osteogenic-like Phenotypic Reprogramming Is Associated with Reduced Malignant Behaviors in Pancreatic Cancer Cells Involving MAPK-ERK Signaling
Chen G, Huang X, Li D et al. · International journal of molecular sciences 2026 · PMID 42278260 · doi:10.3390/ijms27114725
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 GSE314240_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 PRJNA1390514 and SRA study SRP656319. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Capan2 Control ×3 Capan-2 Day7 ×3 Capan-2 Day14 ×3 PANC1 Control ×3 PANC1 Day7 ×3 PANC1 Day14 ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
More Pancreatic cancer datasets

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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.