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Metabolic reprogramming driven by impaired trophoblasts and decidual XCR1+PMN-MDSCs crosstalk controls adverse outcomes in advanced maternal age [RNA-Seq]

GSE288396 Homo sapiens (human) Single-cell RNA-seq 14 samples Submitted 2026/04/08 Platform GPL29480
At a glance

Single-cell RNA-seq · human · 14 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
14 samples: 4 × HP_PB vs 4 × HP_PLGroups 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
Metabolic Reprogramming Driven by Trophoblasts and Decidual XCR1(+)PMN-MDSC Crosstalk Controls Adverse Outcomes Associated With Advanced Maternal AgeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Summary (written by the submitters)
Decidual polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) are crucial for maternal–fetal stability and accumulate to support fetal development. Although advanced maternal age (AMA) increases the risk of adverse outcomes, the regulatory role and mechanism of decidual PMN-MDSCs in these outcomes remain unclear. Herein, the XCL1–XCR1 interaction mediated specific crosstalk between trophoblast cells and decidual PMN-MDSCs in both humans and mice.
Read the full summary ↓
Single-cell sequencing identified a decidual PMN-MDSCs subset highly expressing XCR1 markedly reduced in AMA. Impaired XCL1-stimulated decidual XCR1+PMN-MDSCs delayed fetal growth in AMA and Xcr1-/- pregnant mice. Perinatal XCL1 supplementation and oltipraz treatment rescued these functions by activating decidual XCR1+PMN-MDSCs in AMA mice, not Xcr1-/- pregnant mice. The XCL1–XCR1 axis induced FOXO1 nuclear localization, regulating oxidative phosphorylation-related targets and enabling metabolic processes. Hence, XCL1–XCR1 crosstalk between trophoblast cells and PMN-MDSCs is critical in driving metabolic reprogramming of decidual XCR1+PMN-MDSCs and controlling adverse outcomes caused by AMA.
Published in
Metabolic Reprogramming Driven by Trophoblasts and Decidual XCR1(+)PMN-MDSC Crosstalk Controls Adverse Outcomes Associated With Advanced Maternal Age
Chen M, Guo Y, Zhao Q et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41524173 · doi:10.1002/advs.202513370
This dataset
Open GSE288396 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 GSE288396_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1217357 and SRA study SRP560719. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41524173) ↗
Study design
4 × HP_PB vs 4 × HP_PL

Supports a between-group comparison across 8 samples.

How we read this: 2 replicated groups read from 14 sample titles; they account for 8 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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