The cellular hierarchy of acute myeloid leukemia informs personalized treatment
RNA-seq (gene expression) · human · 108 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)
- Topic
- Acute myeloid leukemiaThis series is part of our curated briefing on it.
- Samples
- 108 samples: 103 distinct titles, 5 of them repeatedGroups 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.
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 GSE272681_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 PRJNA1137956 and SRA study SRP521084. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 108 sample titles: 103 distinct titles with little repetition. 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.
- GSM8409070 Patient AML008, bonemarrow, time point 2, Batch 1
- GSM8409071 Patient AML008, blood, time point 2, Batch 1
- GSM8409072 Patient AML009, bonemarrow, time point 1, Batch 1
- GSM8409073 Patient AML009, blood, time point 3, Batch 1
- GSM8409074 Patient AML010, bonemarrow, time point 2, Batch 1
- GSM8409075 Patient AML010, blood, time point 2, Batch 1
- GSM8409076 Patient AML010, blood, time point 3, Batch 1
- GSM8409077 Patient AML012, bonemarrow, time point 3, Batch 1
- GSM8409078 Patient AML012, blood, time point 1, Batch 1
- GSM8409079 Patient AML012, blood, time point 3, Batch 1
- GSM8409080 Patient AML013, bonemarrow, time point 3, Batch 1
- GSM8409081 Patient AML013, blood, time point 1, Batch 1
- GSM8409082 Patient AML013, blood, time point 3, Batch 1
- GSM8409083 Patient AML014, bonemarrow, time point 2, Batch 1
- GSM8409084 Patient AML014, blood, time point 2, Batch 1
- GSM8409085 Patient AML015, bonemarrow, time point 1, Batch 1
- GSM8409086 Patient AML018, blood, time point 1, Batch 1
- GSM8409087 Patient AML012, bonemarrow, time point 3, Batch 2
- GSM8409088 Patient AML013, blood, time point 3, Batch 2
- GSM8409089 Patient AML014, blood, time point 2, Batch 2
- GSM8409090 Patient AML015, blood, time point 3, Batch 2
- GSM8409091 Patient AML018, bonemarrow, time point 3, Batch 2
- GSM8409092 Patient AML019, bonemarrow, time point 2, Batch 2
- GSM8409093 Patient AML019, blood, time point 1, Batch 2
- GSM8409094 Patient AML019, blood, time point 3, Batch 2
- GSM8409095 Patient AML020, bonemarrow, time point 2, Batch 2
- GSM8409096 Patient AML020, bonemarrow, time point 3, Batch 2
- GSM8409097 Patient AML020, blood, time point 1, Batch 2
- GSM8409098 Patient AML020, blood, time point 2, Batch 2
- GSM8409099 Patient AML020, blood, time point 3, Batch 2
- GSM8409100 Patient AML021, bonemarrow, time point 1, Batch 2
- GSM8409101 Patient AML021, bonemarrow, time point 2, Batch 2
- GSM8409102 Patient AML021, bonemarrow, time point 3, Batch 2
- GSM8409103 Patient AML021, blood, time point 1, Batch 2
- GSM8409104 Patient AML021, blood, time point 2, Batch 2
- GSM8409105 Patient AML022, bonemarrow, time point 1, Batch 2
- GSM8409106 Patient AML022, blood, time point 1, Batch 2
- GSM8409107 Patient AML023, bonemarrow, time point 2, Batch 2
- GSM8409108 Patient AML023, bonemarrow, time point 3, Batch 2
- GSM8409109 Patient AML023, blood, time point 2, Batch 2
+ 68 more — browse all 108 samples with per-sample file links →
- GSE137851 The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia 387 samples same disease briefing · shares leukemia, myeloid, acute
- GSE270185 Repurposing CD19-directed immunotherapies for pediatric t(8;21) acute myeloid leukemia 249 samples same disease briefing · shares leukemia, myeloid, acute
- GSE303795 Halofuginone exerts broad-spectrum cytotoxic effects by regulating p-eIF2α-S100A8/A9-calcium signaling, inhibiting global protein synthesis, and reversing the resistance of idarubicin in acute myeloid leukemia 6 samples same disease briefing · shares leukemia, myeloid, acute
- GSE137574 Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells 24 samples same disease briefing · shares leukemia, myeloid, acute
- GSE129437 Genome-wde mapping of BRD9 binding sites and gene expression changes upon BRD9 knockdown 6 samples same disease briefing
- GSE122515 Bonn Dataset 3 of meta-analysis on AML classification, RNAseq dataset 0 samples same disease briefing
- GSE290925 Single-Cell Transcriptomic Profiling of the Tumor Microenvironment in Treatment-Naive Hepatocellular Carcinoma Patients 12 samples shares treatment, cellular
- GSE109211 Molecular predictors of prevention of recurrence in hepatocellular carcinoma with sorafenib as adjuvant treatment in the phase 3 STORM trial 140 samples shares treatment, cellular
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.