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RNA-seq analysis of NCI-H1693 cells treated with the selective SMARCA2 degrader PRT3789

GSE307424 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/09/12 Platform GPL20795
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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)
The goal of this study was to examine the transcriptional consequences of selective SMARCA2 degradation in a SMARCA4-deficient non-small cell lung cancer (NSCLC) model. NCI-H1693 cells were treated with the SMARCA2 degrader PRT3789 (50 nM) or vehicle control for 6 h, 48 h, and 72 h. RNA-seq was performed to identify changes in gene expression that could reveal pathways associated with synthetic lethality and clarify the mechanism of action of SMARCA2 degraders in the absence of SMARCA4.
This dataset
Open GSE307424 in finder → Find more human 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 GSE307424_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 PRJNA1321601 and SRA study SRP618255. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
NCI-H1693, DMSO, 6 hr, ×3 NCI-H1693, PRT3789, 6 hr, ×3 NCI-H1693, DMSO, 48 hr, ×3 NCI-H1693, PRT3789, 48 hr, ×3 NCI-H1693, DMSO, 72 hr, ×3 NCI-H1693, PRT3789, 72 hr, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
Datasets on a similar topic

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