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Cholesin Receptor Signalling is Active in Cardiovascular System-Associated Adipose Tissue and Correlates with SGLT2i Treatment in Patients with Diabetes

GSE263644 Homo sapiens (human) RNA-seq (gene expression) 40 samples Submitted 2024/06/20 Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 40 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
40 samples: 40 samples, each with a distinct title — no replicated groupsGroups 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
Cholesin receptor signalling is active in cardiovascular system-associated adipose tissue and correlates with SGLT2i treatment in patients with diabetesCardiovascular diabetology · 2024
Summary (written by the submitters)
Objective: To identify the cholesin receptor-associated genes and clinical factors linked with their expression in cardiovascular system and associated adipose tissues. Research Design and Methods: Right cardiac auricle, aortic wall, saphenous vein and adipose tissue (periaortic-PAT, epicardial-EAT, thymic-TAT) samples were collected during coronary-artery bypass grafting.
Read the full summary ↓
Results: We included 46 participants [37 male, 23 with type 2 diabetes, median age 68.50 (Q1-Q3: 63.00-72.00) years, BMI 28.39 (26.06-31.49) kg/m2]. GPR146 expression in adipose tissues significantly correlated with BMI, c-peptide, total cholesterol and LDL concentrations. Selected metabolic pathways were significantly and positively enriched in GPR146-dependent manner. GPR146-coexpressed genes contained key regulators of lipid metabolism, and correlated positively with LDL, HDL and total cholesterol concentrations. SGLT2i treatment mirrored GPR146-associated signature in EAT, suggesting potential impact of SGLTi on cholesin-GPR146 network. Conclusions: GPR146 expression is associated with serum lipids and metabolically-relevant transcriptomic changes in adipose tissue, in EAT similar to iSGLT2-associated ones. Funding: The scientific work was funded by the National Science Center Grant Number 2022/45/N/NZ4/01206 awarded to AR, and a grant of Diabetes Poland awarded to AR and co-financed from the state budget funds as part of the Minister of Education and Science program named “Perły Nauki” Project Number PN/01/0025/2022.
Published in
Cholesin receptor signalling is active in cardiovascular system-associated adipose tissue and correlates with SGLT2i treatment in patients with diabetes
Ryk A, Marcinkiewicz A, Chrzanowski J et al. · Cardiovascular diabetology 2024 · PMID 38902687 · doi:10.1186/s12933-024-02322-y
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 GSE263644_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 PRJNA1098626 and SRA study SRP500743. Searching any of these in the dataset finder brings you back here.

Study design
40 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 40 sample titles: 40 distinct titles with little repetition. 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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