Allelic bias contributes to heterogeneous phenotypes of NK cell deficiency [PBMC]
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)
- Samples
- 15 samples: 6 conditions, mostly in duplicateGroups 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
- Allelic bias contributes to heterogeneous phenotypes of NK cell deficiencyCell reports · 2025
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 GSE288864_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 PRJNA1219647 and SRA study SRP561795. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 replicated groups read from 15 sample titles; they account for 12 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.
- GSM8776997 CD56+ NK Con_M
- GSM8777002 CD3+ NK Con_M
- GSM8777007 CD19+ B Con_M
- GSM8777008 CD56+ NK II.1 CD56+ NK II
- GSM8777009 CD3+ NK II.1 CD3+ NK II
- GSM8777010 CD19+ B II.1 CD19+ B II
- GSM8777011 CD56+ NK II.2 CD56+ NK II
- GSM8777012 CD3+ NK II.2 CD3+ NK II
- GSM8777013 CD19+ B II.2 CD19+ B II
- GSM8777014 CD56+ NK I.2 CD56+ NK I
- GSM8777015 CD3+ NK I.2 CD3+ NK I
- GSM8777016 CD19+ B I.2 CD19+ B I
- GSM8777017 CD56+ NK I.1 CD56+ NK I
- GSM8777018 CD3+ NK I.1 CD3+ NK I
- GSM8777019 CD19+ B I.1 CD19+ B I
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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.