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SOX4 Mediated Differentiation of Specific T Lymphocyte Subsets at the Maternal-Fetal Interface Contributes to Preterm Labor

GSE298153 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2026/05/13 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 16 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
16 samples: 3 × basalis decidua, term labor, scRNA-seq vs 3 × parietalis decidua, term labor, scRNA-seq vs 3 × basalis decidua, preterm labor, scRNA-seq vs 3 × parietalis decidua, preterm labor, scRNA-seqGroups 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.
Summary (written by the submitters)
The initiation of labor and preterm labor is a complex and precise physiological process involving a well-orchestrated dialogue between the mother and fetus. Immunological tolerance toward the semiallogeneic fetus is one of many maternal adaptations required for a successful pregnancy. T lymphocyte are major players of the adaptive immune system and balance tolerance and protection at the maternal-fetal interface.
Read the full summary ↓
However, the dynamics, repertoire and subset programming of T cells across labor are still poorly understood. Here we integrated single-cell RNA sequencing and single-cell ATAC sequencing analyses of human decidua basalis and decidua parietalis from term and preterm labor to depict the composition of T cells at the maternal-fetal interface during late pregnancy and to investigate the potential mechanisms underlying the occurrence of preterm labor.
This dataset
Open GSE298153 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 GSE298153_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1268431 and SRA study SRP587889. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × basalis decidua, term labor, scRNA-seq vs 3 × parietalis decidua, term labor, scRNA-seq vs 3 × basalis decidua, preterm labor, scRNA-seq vs 3 × parietalis decidua, preterm labor, scRNA-seq

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 16 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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