A phase 1 study of the CDK9 inhibitor voruciclib in relapsed/refractory acute myeloid leukemia and B-cell malignancies
RNA-seq (gene expression) · human · 31 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
- 31 samples: 6 conditions, mostly in triplicateGroups 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 GSE281161_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 PRJNA1182472 and SRA study SRP543371. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 6 replicated groups read from 31 sample titles; they account for 19 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.
- GSM8611928 V042_1 V042
- GSM8611929 V042_2 V042
- GSM8611930 V042_3 V042
- GSM8611931 V042_4 V042
- GSM8611932 V046_1 V046
- GSM8611933 V046_2 V046
- GSM8611934 V046_3 V046
- GSM8611935 V046_4 V046
- GSM8611936 V202_1 V202
- GSM8611937 V202_2 V202
- GSM8611938 V202_3 V202
- GSM8611939 V223_1 V223
- GSM8611940 V223_2 V223
- GSM8611941 V228_1 V228
- GSM8611942 V228_2 V228
- GSM8611943 V228_3 V228
- GSM8611944 V229_1 V229
- GSM8611945 V229_2 V229
- GSM8611946 V229_3 V229
- GSM8611947 V6-004_C1D1 6hr
- GSM8611948 V6-004_C1D1 Pre
- GSM8611949 V6-004_C1D8
- GSM8611950 V6-004_EOT
- GSM8611951 V6-005_C1D1 6hr
- GSM8611952 V6-005_C1D1 Pre
- GSM8611953 V6-005_C1D8
- GSM8611954 V6-005_EOT
- GSM8611955 V20-003_C1D1 6hr
- GSM8611956 V20-003_C1D1 Pre
- GSM8611957 V20-003_C1D8
- GSM8611958 V20-003_EOT
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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.