Sex-biased ZRSR2 mutations in myeloid malignancies impair plasmacytoid dendritic cell activation and apoptosis [PDX]
RNA-seq (gene expression) · human · 28 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)
- Samples
- 28 samples: 28 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.
- Paper
- Sex-Biased ZRSR2 Mutations in Myeloid Malignancies Impair Plasmacytoid Dendritic Cell Activation and ApoptosisCancer discovery · 2022
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 GSE278318_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 PRJNA1166330 and SRA study SRP535380. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 28 sample titles: 28 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.
- GSM8544763 pDC_1, R848 treated
- GSM8544764 pDC_1, Untreated
- GSM8544765 pDC_2, R848 treated
- GSM8544766 pDC_2, Untreated
- GSM8544767 pDC_3, R848 treated
- GSM8544768 pDC_3, Untreated
- GSM8544769 PDX_1, R848 treated
- GSM8544770 PDX_1, Untreated
- GSM8544771 PDX_2, R848 treated
- GSM8544772 PDX_2, Untreated
- GSM8544773 PDX_3, R848 treated
- GSM8544774 PDX_3, Untreated
- GSM8544775 PDX_4, R848 treated
- GSM8544776 PDX_4, Untreated
- GSM8544777 PDX_5, R848 treated
- GSM8544778 PDX_5, Untreated
- GSM8544779 PDX_6, R848 treated
- GSM8544780 PDX_6, Untreated
- GSM8544781 PDX_7, R848 treated
- GSM8544782 PDX_7, Untreated
- GSM8544783 PDX_8, R848 treated
- GSM8544784 PDX_8, Untreated
- GSM8544785 PDX_9, R848 treated
- GSM8544786 PDX_9, Untreated
- GSM8544787 PDX_10, R848 treated
- GSM8544788 PDX_10, Untreated
- GSM8544789 PDX_11, R848 treated
- GSM8544790 PDX_11, Untreated
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- GSE282652 Mechanosensing regulates plasmacytoid DCs activation in the skin through NRF2 activation 25 samples shares plasmacytoid, activation
- GSE261447 Unique CD8+ T Cell Priming by Antigen Presenting Plasmacytoid Dendritic Cells Compared to Conventional Dendritic Cells 15 samples shares plasmacytoid, dendritic
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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.