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A kidney-protective mechanism via cellular oxidative stress reduction induced by CD5L protein

GSE324329 Homo sapiens (human) RNA-seq (gene expression) 38 samples Submitted 2026/05/25 Platform GPL24247Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 38 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
38 samples: 10 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.
Paper
A kidney-protective mechanism via cellular oxidative stress reduction induced by CD5L proteinCell death discovery · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
A kidney-protective mechanism via cellular oxidative stress reduction induced by CD5L protein
Kudo K, Ikeda T, Ikeda K et al. · Cell death discovery 2026 · PMID 42177184 · doi:10.1038/s41420-026-03171-2
This dataset
Open GSE324329 in finder → Find more 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 GSE324329_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 PRJNA1434419 and SRA study SRP682302. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42177184) ↗
Study design
10 conditions, mostly in triplicate
CD5L_KO_rCD5L_biol ×5 WT_PBS_biol ×5 WT_rCD5L_biol ×5 CD5L_KO_PBS_biol ×4 HK-2 cells, untreated control, ×3 HK-2 cells, rCD5L (50 ug/mL), ×3 HK-2 cells, 2CS (50 ug/mL), ×3 HK-2 cells, H2O2 (50 uM), ×3 +3 more

Supports a between-group comparison across 37 samples.

How we read this: 10 replicated groups read from 38 sample titles; they account for 37 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

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