The effects of Lycorine on PANC-1 cells.
RNA-seq (gene expression) · human · 10 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
- 10 samples: 5 × PANC-1_LY vs 5 × PANC-1_DMSOGroups 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.
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 GSE267541_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 PRJNA1111805 and SRA study SRP507856. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8268430 PANC-1_LY_1 PANC-1_LY
- GSM8268431 PANC-1_LY_2 PANC-1_LY
- GSM8268432 PANC-1_LY_3 PANC-1_LY
- GSM8268433 PANC-1_LY_4 PANC-1_LY
- GSM8268434 PANC-1_LY_5 PANC-1_LY
- GSM8268435 PANC-1_DMSO_1 PANC-1_DMSO
- GSM8268436 PANC-1_DMSO_2 PANC-1_DMSO
- GSM8268437 PANC-1_DMSO_3 PANC-1_DMSO
- GSM8268438 PANC-1_DMSO_4 PANC-1_DMSO
- GSM8268439 PANC-1_DMSO_5 PANC-1_DMSO
- GSE224502 RNA-Seq profiles of pancreatic adenocarcinoma PANC-1 and osteosarcoma U2OS cells with Pin1 knocking down 18 samples shares panc-1
- GSE300405 Effect of PRLX-93936 treatment on gene expression of PANC-1 cells 18 samples shares panc-1
- GSE306771 Bulk RNA-seq analysis of PDAC PANC-1 cells silenced with siRNA targeting myoferlin or treated with WJ460. 12 samples shares panc-1
- GSE278295 RNA sequencing of Panc-1 cells co-cultured with CAF overexpressing PAI-1 6 samples shares panc-1
- GSE298057 RNA sequence analysis of STYK1 knockdown in pancreatic cancer PANC-1 cells 6 samples shares panc-1
- GSE277280 BARD1 is an exploitable therapeutic target for homologous repair proficient pancreatic ductal adenocarcinomas [PANC-1] 8 samples shares panc-1
- GSE263949 mRNA profile of PANC-1 treated with CAF-derived Evs 6 samples shares panc-1
- GSE275607 RNA sequencing analysis of ESRP1, 2 overepxressing PANC-1 and MIA-PaCa2 6 samples shares panc-1
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.