TP53 missense-specific transcriptional plasticity drives resistance against cell cycle inhibitors in pancreatic cancer [RNA-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)
- Samples
- 12 samples: 3 × MiaPaCa2, siCtrl, vs 3 × MiaPaCa2, sip53, vs 3 × PANC1, siCtrl, vs 3 × PANC1, sip53,Groups 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
- TP53 missense-specific transcriptional plasticity drives resistance against cell cycle inhibitors in pancreatic cancerScience advances · 2025
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 GSE291033_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 PRJNA1231434 and SRA study SRP567949. 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.
- GSM8827850 MiaPaCa2, siCtrl, 1 MiaPaCa2, siCtrl,
- GSM8827851 MiaPaCa2, siCtrl, 2 MiaPaCa2, siCtrl,
- GSM8827852 MiaPaCa2, siCtrl, 3 MiaPaCa2, siCtrl,
- GSM8827853 MiaPaCa2, sip53, 1 MiaPaCa2, sip53,
- GSM8827854 MiaPaCa2, sip53, 2 MiaPaCa2, sip53,
- GSM8827855 MiaPaCa2, sip53, 3 MiaPaCa2, sip53,
- GSM8827856 PANC1, siCtrl, 1 PANC1, siCtrl,
- GSM8827857 PANC1, siCtrl, 2 PANC1, siCtrl,
- GSM8827858 PANC1, siCtrl, 3 PANC1, siCtrl,
- GSM8827859 PANC1, sip53, 1 PANC1, sip53,
- GSM8827860 PANC1, sip53, 2 PANC1, sip53,
- GSM8827861 PANC1, sip53, 3 PANC1, sip53,
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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.