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RNA-seq of Peripheral Blood Cells Identifies Molecular Network Linked to Lymphocyte Subset Aberrations and Active Lupus Nephritis in SLE

GSE232381 Homo sapiens (human) RNA-seq (gene expression) 25 samples Submitted 2024/06/14 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 25 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
25 samples: 13 × peripheral blood cells, inactive LN vs 12 × peripheral blood cells, active LNGroups 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
Peripheral blood cells RNA-seq identifies differentially expressed gene network linked to lymphocyte subsets alterations and active lupus nephritis associated with declines in renal functionHeliyon · 2024
Summary (written by the submitters)
We aimed to investigate whether differentially expressed genes are related to lupus nephritis (LN) We then performed gene expression profiling analysis using data obtained from RNA-seq of peripheral blood cell from LN patients
Published in
Peripheral blood cells RNA-seq identifies differentially expressed gene network linked to lymphocyte subsets alterations and active lupus nephritis associated with declines in renal function
Chen YC, Yu HH, Hu YC et al. · Heliyon 2024 · PMID 38912505 · doi:10.1016/j.heliyon.2024.e32303
This dataset
Open GSE232381 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE232381_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA971890 and SRA study SRP437361. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38912505) ↗
Study design
13 × peripheral blood cells, inactive LN vs 12 × peripheral blood cells, active LN

Supports a between-group comparison across 25 samples.

How we read this: 2 replicated groups read from 25 sample titles; they account for 25 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.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.