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Effect of calcium oxalate microcrystals on kidney proximal tubule epithelial cell gene expression in microgravity

GSE302560 Homo sapiens (human) RNA-seq (gene expression) 144 samples Submitted 2026/06/23 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 144 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
144 samples: 35 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
Effect of calcium oxalate microcrystals on kidney proximal tubule epithelial cell gene expression in microgravityResearch square · 2025
Summary (written by the submitters)
We evaluated the impact of spaceflight on a microphysiologic model of calcium oxalate (CaOx) kidney stone disease. Proximal tubule epithelial cells cultured as confluent microtubules were exposed to CaOx crystals with or without potassium citrate (a potential countermeasure) to determine impact on gene expression. Nine genes were differentially expressed in response to CaOx crystal exposure during spaceflight. This project presents the use of microgravity as a unique environment to study kidney pathophysiology.
Published in
Effect of calcium oxalate microcrystals on kidney proximal tubule epithelial cell gene expression in microgravity
Jones-Isaac K, Yeung CK, Bain J et al. · Research square 2025 · PMID 40678253 · doi:10.21203/rs.3.rs-6883199/v1
This dataset
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.

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 GSE302560_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1291190 and SRA study SRP601299. Searching any of these in the dataset finder brings you back here.

Study design
35 conditions, mostly in triplicate
PT10M, Control, FLIGHT, MALE, ×6 PT10M, CaOx, FLIGHT, MALE, ×6 PT10M, KCit, FLIGHT, MALE, ×6 PT6F, Control, FLIGHT, FEMALE, ×6 PT6F, CaOx, FLIGHT, FEMALE, ×6 PT6F, KCit, FLIGHT, FEMALE, ×6 PT10M, Control, GROUND, MALE, ×6 PT10M, CaOx, GROUND, MALE, ×6 +27 more

Supports a between-group comparison across 144 samples.

How we read this: 35 replicated groups read from 144 sample titles; they account for 144 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

+ 104 more — browse all 144 samples with per-sample file links →

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.