RNAseq of mRNA from human NK cells treated with PGE2 or co-cultured with acute myeloid leukemia (AML) blasts
RNA-seq (gene expression) · human · 15 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
- 15 samples: 5 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.
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 GSE191074_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 PRJNA789571 and SRA study SRP351138. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM5738329 NK-only-BR1 NK-only-B
- GSM5738330 NK-only-BR2 NK-only-B
- GSM5738331 NK-only-BR3 NK-only-B
- GSM5738332 NK-PGE2-BR1 NK-PGE2-B
- GSM5738333 NK-PGE2-BR2 NK-PGE2-B
- GSM5738334 NK-PGE2-BR3 NK-PGE2-B
- GSM5738335 NK-Blasts-BR1 NK-Blasts-B
- GSM5738336 NK-Blasts-BR2 NK-Blasts-B
- GSM5738337 NK-Blasts-BR3 NK-Blasts-B
- GSM5738338 NK-Blasts-K562-BR1 NK-Blasts-K562-B
- GSM5738339 NK-Blasts-K562-BR2 NK-Blasts-K562-B
- GSM5738340 NK-Blasts-K562-BR3 NK-Blasts-K562-B
- GSM5738341 NK-K562-BR1 NK-K562-B
- GSM5738342 NK-K562-BR2 NK-K562-B
- GSM5738343 NK-K562-BR3 NK-K562-B
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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.