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RNA-Seq profiles of pancreatic adenocarcinoma PANC-1 and osteosarcoma U2OS cells with Pin1 knocking down

GSE224502 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/02/02 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
Prolyl isomerase Pin1 promotes autophagy and cancer cell viability through activating FoxO3 signallingCellular signalling · 2024
Summary (written by the submitters)
Peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 (Pin1) mediates conformational conversion of protein substrates to trigger the modulation of protein phosphorylation status. Pin1 was knockdown in the pancreatic adenocarcinoma cell PANC-1 and osteosarcoma cell U2OS. The expression profiles of them were compared to explore the key features regulated by Pin1.
Published in
Prolyl isomerase Pin1 promotes autophagy and cancer cell viability through activating FoxO3 signalling
Long J, Wang J, Dong Y et al. · Cellular signalling 2024 · PMID 38084839 · doi:10.1016/j.cellsig.2023.110940
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 GSE224502_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 PRJNA931328 and SRA study SRP420885. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
PANC-1 cells, shControl, ×3 PANC-1 cells, shPin1#1, ×3 PANC-1 cells, shPin1#2, ×3 U2OS cells, shControl, ×3 U2OS cells, shPin1#1, ×3 U2OS cells, shPin1#2, ×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.