Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutations
RNA-seq (gene expression) · human · 11 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
- 11 samples: 3 × OCI-AML3 Control vs 3 × OCI-AML3 100 nM FHD-286 vs 3 × OCI-AML3-FLT3-ITD Control vs 2 × OCI-AML3 FLT3-ITD 100 nM FHD-286Groups 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
- Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutationsBlood cancer journal · 2025
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 GSE289713_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 PRJNA1224244 and SRA study SRP564155. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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.
- GSM8797385 OCI-AML3 Control 1 OCI-AML3 Control
- GSM8797386 OCI-AML3 Control 2 OCI-AML3 Control
- GSM8797387 OCI-AML3 Control 3 OCI-AML3 Control
- GSM8797388 OCI-AML3 100 nM FHD-286 1 OCI-AML3 100 nM FHD-286
- GSM8797389 OCI-AML3 100 nM FHD-286 2 OCI-AML3 100 nM FHD-286
- GSM8797390 OCI-AML3 100 nM FHD-286 3 OCI-AML3 100 nM FHD-286
- GSM8797391 OCI-AML3-FLT3-ITD Control 1 OCI-AML3-FLT3-ITD Contr…
- GSM8797392 OCI-AML3-FLT3-ITD Control 2 OCI-AML3-FLT3-ITD Contr…
- GSM8797393 OCI-AML3-FLT3-ITD Control 3 OCI-AML3-FLT3-ITD Contr…
- GSM8797394 OCI-AML3 FLT3-ITD 100 nM FHD-286 1 OCI-AML3 FLT3-ITD 100 n…
- GSM8797395 OCI-AML3 FLT3-ITD 100 nM FHD-286 2 OCI-AML3 FLT3-ITD 100 n…
- GSE252938 BRG1/BRM inhibitor targets AML stem cells and exerts superior preclinical efficacy combined with BET or Menin inhibitor 34 samples shares brg1, brm, aml, preclinical, inhibitor
- GSE315341 Overcoming Menin inhibitor resistance in AML cells with combinations including BET proteins and dual BRG1/BRM inhibitor [RNA-seq] 60 samples shares brg1, brm, aml, inhibitor
- GSE280391 Targeting CERT sensitizes AML Cells to FLT3 Inhibitors through activating GRP78-ATF6-CHOP Axis 12 samples shares flt3, aml, inhibitor
- GSE338135 NRAS knockdown reverses monocytic cell state and resensitizes resistant FLT3-AML cells to gilteritinib 75 samples shares flt3, aml
- GSE241650 Pharmaceutical inhibition of RAS overcomes cytokine mediated resistance to FLT3 inhibition in FLT3-ITD+ AML 76 samples shares flt3, aml
- GSE241646 Pharmaceutical inhibition of RAS overcomes cytokine mediated resistance to FLT3 inhibition in FLT3-ITD+ AML [ATAC-seq] 28 samples shares flt3, aml
- GSE297413 Genomic and transcriptomic determinants of clinical outcomes in patients with AML and DNMT3A mutations 264 samples shares aml, mutations
- GSE278623 A synergistic interaction between PRMT5 and LSD1 inhibitors in AML 24 samples shares aml, inhibitor
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.