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Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [Spatial transcriptomics]

GSE300293 Mus musculus (mouse) Spatial transcriptomics 19 samples Submitted 2025/10/11 Platform GPL24247
At a glance

Spatial transcriptomics · mouse · 19 samples

What it is
Spatial transcriptomicsGene activity measured with its position in a tissue section.
Organism
Mus musculus (mouse)
Samples
19 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Understanding cellular processes underlying early lung adenocarcinoma (LUAD) development is needed to devise intervention strategies. Here, we performed single-cell RNA sequencing (scRNA-seq) of mouse lungs from Gprc5a−/− mice during lung tumor development and also following therapeutic targeting of inflammation (IL-1 ) alone and in combination with immune checkpoint blockade in precancerous stages. We coupled scRNA-seq analysis with spatial transcriptomics of mouse lungs under different conditions.
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE300293_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.

Also filed as BioProject PRJNA1280038. Searching any of these in the dataset finder brings you back here.

Samples in this study

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