RNA-Seq of paired diagnosis and relapse AML specimens with healthy controls
RNA-seq (gene expression) · human · 130 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
- 130 samples: 130 samples, each with a distinct title — no replicated groupsGroups 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 GSE327386_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 PRJNA1450626. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 63 samples read as cases, 8 as controls.
How we read this: Read from 130 sample titles: 130 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.
- GSM9655006 Normal Bone Marrow Control 01 RNA seq
- GSM9655007 Normal Bone Marrow Control 02 RNA seq
- GSM9655008 Normal Bone Marrow Control 03 RNA seq
- GSM9655009 Normal Bone Marrow Control 04 RNA seq
- GSM9655010 Normal Bone Marrow Control 05 RNA seq
- GSM9655011 Normal Bone Marrow Control 08 RNA seq
- GSM9655012 Normal Bone Marrow Control 09 RNA seq
- GSM9655013 Normal Bone Marrow Control 15 RNA seq
- GSM9655014 AML 001 Diagnosis RNA seq
- GSM9655015 AML 001 Relapse RNA seq
- GSM9655016 AML 002 Diagnosis RNA seq
- GSM9655017 AML 002 Relapse RNA seq
- GSM9655018 AML 003 Diagnosis RNA seq
- GSM9655019 AML 003 Relapse RNA seq
- GSM9655020 AML 006 Diagnosis RNA seq
- GSM9655021 AML 006 Relapse RNA seq
- GSM9655022 AML 010 Diagnosis RNA seq
- GSM9655023 AML 010 Relapse RNA seq
- GSM9655024 AML 012 Diagnosis RNA seq
- GSM9655025 AML 012 Relapse RNA seq
- GSM9655026 AML 014 Diagnosis RNA seq
- GSM9655027 AML 014 Relapse RNA seq
- GSM9655028 AML 015 Diagnosis RNA seq
- GSM9655029 AML 015 Relapse RNA seq
- GSM9655030 AML 017 Diagnosis RNA seq
- GSM9655031 AML 017 Relapse RNA seq
- GSM9655032 AML 023 Diagnosis RNA seq
- GSM9655033 AML 023 Relapse RNA seq
- GSM9655034 AML 024 Diagnosis RNA seq
- GSM9655035 AML 024 Relapse RNA seq
- GSM9655036 AML 025 Diagnosis RNA seq
- GSM9655037 AML 025 Relapse RNA seq
- GSM9655038 AML 026 Diagnosis RNA seq
- GSM9655039 AML 026 Relapse RNA seq
- GSM9655040 AML 028 Diagnosis RNA seq
- GSM9655041 AML 028 Relapse RNA seq
- GSM9655042 AML 032 Diagnosis RNA seq
- GSM9655043 AML 032 Relapse RNA seq
- GSM9655044 AML 038 Diagnosis RNA seq
- GSM9655045 AML 038 Relapse RNA seq
+ 90 more — browse all 130 samples with per-sample file links →
- GSE122515 Bonn Dataset 3 of meta-analysis on AML classification, RNAseq dataset 0 samples same disease briefing · shares aml
- GSE137851 The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia 387 samples same disease briefing
- GSE270185 Repurposing CD19-directed immunotherapies for pediatric t(8;21) acute myeloid leukemia 249 samples same disease briefing
- 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
- GSE137574 Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells 24 samples same disease briefing
- GSE129437 Genome-wde mapping of BRD9 binding sites and gene expression changes upon BRD9 knockdown 6 samples same disease briefing
- GSE296649 Clonal evolution permits outgrowth of chemoresistant LMPP-like early progenitors in relapsed NPM1c AML [scRNA-Seq] 58 samples shares aml, rna-seq, relapse
- GSE211032 Expression Analysis (RNA-Seq) of adult Myelodysplastic Syndromes (MDS)/Acute Myeloid Leukemia (AML) with isolated monosomy 7 compared to controls 45 samples shares aml, controls, rna-seq
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.