Genomic profiles and survival prognosticators in African-American patients with acute myeloid leukemia
RNA-seq (gene expression) · human · 78 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
- 78 samples
- 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 GSE266099_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 PRJNA1105881 and SRA study SRP504599. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run Patid01 … Patid78 and carry no group information.
- GSM8240587 Patid01
- GSM8240588 Patid02
- GSM8240589 Patid03
- GSM8240590 Patid04
- GSM8240591 Patid05
- GSM8240592 Patid06
- GSM8240593 Patid07
- GSM8240594 Patid08
- GSM8240595 Patid09
- GSM8240596 Patid10
- GSM8240597 Patid11
- GSM8240598 Patid12
- GSM8240599 Patid13
- GSM8240600 Patid14
- GSM8240601 Patid15
- GSM8240602 Patid16
- GSM8240603 Patid17
- GSM8240604 Patid18
- GSM8240605 Patid19
- GSM8240606 Patid20
- GSM8240607 Patid21
- GSM8240608 Patid22
- GSM8240609 Patid23
- GSM8240610 Patid24
- GSM8240611 Patid25
- GSM8240612 Patid26
- GSM8240613 Patid27
- GSM8240614 Patid28
- GSM8240615 Patid29
- GSM8240616 Patid30
- GSM8240617 Patid31
- GSM8240618 Patid32
- GSM8240619 Patid33
- GSM8240620 Patid34
- GSM8240621 Patid35
- GSM8240622 Patid36
- GSM8240623 Patid37
- GSM8240624 Patid38
- GSM8240625 Patid39
- GSM8240626 Patid40
+ 38 more — browse all 78 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
- GSE318878 Micro-RNA networks in T-cell prolymphocytic leukemia reflect T-cell activation and shape DNA damage response and survival pathways 56 samples shares survival, leukemia
- GSE325123 The melanocytic transcriptomic state is independently associated with poor overall survival in long term follow up of patients with metastatic melanoma 272 samples shares survival
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.