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Evaluation of the evolution of aged vs young lung tumor cells derived from ex vivo transformation

GSE277241 Mus musculus (mouse) RNA-seq (gene expression) 80 samples Submitted 2024/09/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 80 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
Mus musculus (mouse)
Samples
80 samples: 10 conditions, mostly with about 8 replicates eachGroups 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.
Summary (written by the submitters)
Aging is one of the most important risk factor for cancer. However, next to nothing is known about how the age of the cell of origin impacts the evolution of tumor cells. Here we interrogated the cell-intrinsic forces that drive the progression of aged vs young cell of origin for lung cancer by using ex vivo transformation approaches
This dataset
Open GSE277241 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE277241_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1161417 and SRA study SRP533660. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 conditions, mostly with about 8 replicates each
AF1338_P ×8 GH1493_P ×8 KW1401_P ×8 AF1165_P ×8 AF1337_P ×8 GH1394_P ×7 GH1397_P ×7 GH2108_P ×7 +7 more

Supports a between-group comparison across 75 samples.

How we read this: 10 replicated groups read from 80 sample titles; they account for 75 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

+ 40 more — browse all 80 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.