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Effect of SLC25A1 knockdown on gene expression during differentiation of human airway basal cells

GSE282141 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2025/01/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 30 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
30 samples: 6 conditions, mostly with about 5 replicates eachGroups 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
The oxygen level in air directs airway epithelial cell differentiation by controlling mitochondrial citrate exportScience advances · 2025
Summary (written by the submitters)
To investigate the role of mitochondrial citrate export in differentiation of airway basal cells, we knocked down SLC25A1, the gene encoding mitochondrial citrate carrier.
Published in
The oxygen level in air directs airway epithelial cell differentiation by controlling mitochondrial citrate export
Kim BR, Rauckhorst AJ, Chimenti MS et al. · Science advances 2025 · PMID 39854459 · doi:10.1126/sciadv.adr2282
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 GSE282141_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 PRJNA1187457 and SRA study SRP545822. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 5 replicates each
shControl, Day 0, ×5 shSLC25A1, Day 0, ×5 shControl, Day 1, ×5 shSLC25A1, Day 1, ×5 shControl, Day 2, ×5 shSLC25A1, Day 2, ×5

Supports a between-group comparison across 30 samples.

How we read this: 6 replicated groups read from 30 sample titles; they account for 30 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
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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.