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Gene expression profile at single cell level of Drug-tolerant persister cells induced by targeted therapy in lung adenocarcinoma.

GSE275199 Homo sapiens (human) Single-cell RNA-seq 2 samples Submitted 2025/05/14 Platform GPL18573
At a glance

Single-cell RNA-seq · human · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
2 samples
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
Epigenomic analysis identifies DTP subpopulation using HOPX to develop targeted therapy resistance in lung adenocarcinomaiScience · 2025
Summary (written by the submitters)
Drug-tolerant persister (DTP) stage is viewed as a major source of non-genetic drug resistance. We use single cell RNA seq to reveal the transcriptomic heterogeniety of DTP stage
Published in
Epigenomic analysis identifies DTP subpopulation using HOPX to develop targeted therapy resistance in lung adenocarcinoma
Tian Y, Bhattacharya R, Yoo S et al. · iScience 2025 · PMID 40352726 · doi:10.1016/j.isci.2025.112387
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 GSE275199_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1149772. Searching any of these in the dataset finder brings you back here.

Samples in this study

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