Multi-omics Integration Identifies NK Cell-Mediated Cytotoxicity as a Therapeutic Target in Systemic Lupus Erythematosus
RNA-seq (gene expression) · human · 26 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
- 26 samples: 7 × pbmc,HC vs 7 × pbmc,RA vs 6 × pbmc,SLE vs 6 × pbmc,SLETGroups 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
- Multi-omics integration identifies NK cell-mediated cytotoxicity as a therapeutic target in systemic lupus erythematosusFrontiers in immunology · 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 GSE295130_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 PRJNA1253600 and SRA study SRP588982. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 26 samples.
How we read this: 4 replicated groups read from 26 sample titles; they account for 26 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.
- GSM8942615 pbmc,HC1 pbmc,HC
- GSM8942616 pbmc,HC2 pbmc,HC
- GSM8942617 pbmc,HC3 pbmc,HC
- GSM8942618 pbmc,HC4 pbmc,HC
- GSM8942619 pbmc,HC5 pbmc,HC
- GSM8942620 pbmc,HC6 pbmc,HC
- GSM8942621 pbmc,HC7 pbmc,HC
- GSM8942622 pbmc,SLE1 pbmc,SLE
- GSM8942623 pbmc,SLE2 pbmc,SLE
- GSM8942624 pbmc,SLE3 pbmc,SLE
- GSM8942625 pbmc,SLE4 pbmc,SLE
- GSM8942626 pbmc,SLE5 pbmc,SLE
- GSM8942627 pbmc,SLE6 pbmc,SLE
- GSM8942628 pbmc,SLET1 pbmc,SLET
- GSM8942629 pbmc,SLET2 pbmc,SLET
- GSM8942630 pbmc,SLET3 pbmc,SLET
- GSM8942631 pbmc,SLET4 pbmc,SLET
- GSM8942632 pbmc,SLET5 pbmc,SLET
- GSM8942633 pbmc,SLET6 pbmc,SLET
- GSM8942634 pbmc,RA1 pbmc,RA
- GSM8942635 pbmc,RA2 pbmc,RA
- GSM8942636 pbmc,RA3 pbmc,RA
- GSM8942637 pbmc,RA4 pbmc,RA
- GSM8942638 pbmc,RA5 pbmc,RA
- GSM8942639 pbmc,RA6 pbmc,RA
- GSM8942640 pbmc,RA7 pbmc,RA
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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.