Targeting DCAF5 suppresses SMARCB1-mutant cancer via stabilizing SWI/SNF
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × G401_GFP_shctrl vs 3 × G401_GFP_shdcaf5 vs 3 × G401_SB1_shctrl vs 3 × G401_SB1_shdcaf5Groups 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.
- Paper
- Targeting DCAF5 suppresses SMARCB1-mutant cancer by stabilizing SWI/SNFNature · 2024
Read the full summary ↓
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 GSE215024_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 PRJNA888093 and SRA study SRP401522. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM6620116 G401_GFP_shctrl_rep1 G401_GFP_shctrl
- GSM6620117 G401_GFP_shctrl_rep2 G401_GFP_shctrl
- GSM6620118 G401_GFP_shctrl_rep3 G401_GFP_shctrl
- GSM6620119 G401_GFP_shdcaf5_rep1 G401_GFP_shdcaf5
- GSM6620120 G401_GFP_shdcaf5_rep2 G401_GFP_shdcaf5
- GSM6620121 G401_GFP_shdcaf5_rep3 G401_GFP_shdcaf5
- GSM6620122 G401_SB1_shctrl_rep1 G401_SB1_shctrl
- GSM6620123 G401_SB1_shctrl_rep2 G401_SB1_shctrl
- GSM6620124 G401_SB1_shctrl_rep3 G401_SB1_shctrl
- GSM6620125 G401_SB1_shdcaf5_rep1 G401_SB1_shdcaf5
- GSM6620126 G401_SB1_shdcaf5_rep2 G401_SB1_shdcaf5
- GSM6620127 G401_SB1_shdcaf5_rep3 G401_SB1_shdcaf5
- GSE215025 Targeting DCAF5 suppresses SMARCB1-mutant cancer via stabilizing SWI/SNF 94 samples shares dcaf5, swi, snf, smarcb1-mutant, stabilizing, suppresses, targeting
- GSE215023 Targeting DCAF5 suppresses SMARCB1-mutant cancer via stabilizing SWI/SNF 58 samples shares dcaf5, swi, snf, smarcb1-mutant, stabilizing, suppresses, targeting
- GSE215022 Targeting DCAF5 suppresses SMARCB1-mutant cancer via stabilizing SWI/SNF 24 samples shares dcaf5, swi, snf, smarcb1-mutant, stabilizing, suppresses, targeting
- GSE299562 PHIP suppresses NuRD to enable the growth of SWI/SNF-mutant cancers [RNA-seq] 42 samples shares swi, snf, suppresses
- GSE315219 PHIP suppresses NuRD to enable the growth of SWI/SNF-mutant cancers 174 samples shares swi, snf, suppresses
- GSE299672 PHIP suppresses NuRD to enable the growth of SWI/SNF-mutant cancers [ChIP-seq] 132 samples shares swi, snf, suppresses
- GSE323137 Targeting the CHD3 Chromatin Remodeler Exploits a Synthetic Lethal Vulnerability in SWI/SNF-Deficient Cancers via Toxic Derepression of PARD3B 39 samples shares swi, snf, targeting
- GSE313838 Androgen receptor-negative prostate cancer is vulnerable to SWI/SNF-targeting degrader molecules 32 samples shares swi, snf, targeting
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.