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Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma [ssRNA-Seq]

GSE286393 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/03/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 4 × WT vs 4 × KD vs 4 × OEGroups 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
Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinomaCancer communications (London, England) · 2025
Summary (written by the submitters)
Adrenocortical carcinoma (ACC) is characterized by disruption of tissue development and homeostatic pathways. Here, using genetic fate mapping and murine ACC models, we have identified a population of adrenocortical stem cells that express Delta-like non-canonical Notch ligand 1 (DLK1). These cells are active during development, near dormant postnatally but are re-expressed in ACC.
Read the full summary ↓
DLK1 expression is widespread in human ACC samples and independently influences recurrence-free survival. Spatial transcriptomic analysis has identified DLK1 positive ACC cells to have increased steroidogenic potential, a finding also observed in both human and murine ACC cell lines. Additionally, the cleavable DLK1 ectodomain is detectable in patients’ serum and effectively distinguishes ACC from other adrenal pathologies, offering potential diagnostic and follow-up utility for ACC patients. These data demonstrate a prognostic role for DLK1 in ACC, elucidate its hierarchical expression in homeostasis and cancer and suggest its utility as a biomarker in this malignancy.
Published in
Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma
Mariniello K, Pittaway JFH, Altieri B et al. · Cancer communications (London, England) 2025 · PMID 40035383 · doi:10.1002/cac2.70012
This dataset
Open GSE286393 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 GSE286393_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 PRJNA1209063 and SRA study SRP556527. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40035383) ↗
Study design
4 × WT vs 4 × KD vs 4 × OE

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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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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.