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Trancriptome analysis of tumor tissue to search for the associations between USP8 mutation status, molecular markers of pituitary adenomas, and clinical, and diagnostic parametres of Cushing disease

GSE263206 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2024/04/11 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 14 × pituitary, patient vs 2 × pituitary, patient 29,Groups 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
Cushing's Disease Manifestation in USP8-Mutated Corticotropinoma May Be Mediated by Interactions Between WNT Signaling and SST TraffickingInternational journal of molecular sciences · 2024
Summary (written by the submitters)
In this work we employed the comprehensive evaluation of clinical data of the cohort of CD patients along with the sequencing of 14 exon of USP8 to estimate the prevalence of USP8 mutations in our cohort and transcriptome analysis of tumor tissue to search for the associations between USP8 mutation status, molecular markers of pituitary adenomas, and clinical and diagnostic parameters of Cushing’s syndrome including hormonal secretion, tumor size, aggressiveness, and SSRT2/SSRT5 expression.
Published in
Cushing's Disease Manifestation in USP8-Mutated Corticotropinoma May Be Mediated by Interactions Between WNT Signaling and SST Trafficking
Nerubenko E, Ryazanov P, Kuritsyna N et al. · International journal of molecular sciences 2024 · PMID 39684597 · doi:10.3390/ijms252312886
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 GSE263206_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 PRJNA1096270 and SRA study SRP499735. Searching any of these in the dataset finder brings you back here.

Study design
14 × pituitary, patient vs 2 × pituitary, patient 29,

Supports a between-group comparison across 16 samples.

How we read this: 2 replicated groups read from 16 sample titles; they account for 16 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.