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Adiposity alters protective mechanisms of progesterone through dysregulation of endometrial metallothionein expression

GSE240926 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/04/19 Platform GPL20301
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 × endometrial organoid, 0 fat, vs 4 × endometrial organoid, 30 fat, vs 4 × endometrial organoid, 3 fat,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
The Impact of High Adiposity on Endometrial Progesterone Response and Metallothionein RegulationThe Journal of clinical endocrinology and metabolism · 2024
Summary (written by the submitters)
In this study, we sought to understand the effects of excess adipose on the benign endometrium. We used a physiologic in vitro coculture system consisting of multicellular organoids of the benign human endometrium and adipose spheroids in the presence of estradiol, progesterone, and testosterone to mimic the menstrual cycle. Gene expression analysis of endometrial organoids under high adiposity conditions revealed downregulation of genes normally expressed in secretory endometrium, suggestive of an altered progesterone response.
Read the full summary ↓
Genes associated with ion homeostasis and detoxification of reactive oxygen species were also downregulated, including the metallothionein (MT) family of genes. We demonstrated that MT gene expression in endometrial organoids was regulated by progesterone specifically in the epithelial cells, and that progesterone receptor is recruited to the promoters of MT genes in endometrial epithelial cells. We illustrated the impact of MT dysregulation by silencing MT genes in endometrial epithelial cells, resulting in increased DNA damage. Our results reveal that exposing the endometrium to high adiposity can compromise the protective effects of progesterone, dysregulate MT genes in the endometrial epithelium, and leave the endometrium vulnerable to ROS-induced DNA damage.
Published in
The Impact of High Adiposity on Endometrial Progesterone Response and Metallothionein Regulation
Murphy AR, Asif H, Cingoz H et al. · The Journal of clinical endocrinology and metabolism 2024 · PMID 38597153 · doi:10.1210/clinem/dgae236
This dataset
Open GSE240926 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 GSE240926_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 PRJNA1005698 and SRA study SRP455265. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38597153) ↗
Study design
4 × endometrial organoid, 0 fat, vs 4 × endometrial organoid, 30 fat, vs 4 × endometrial organoid, 3 fat,

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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