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Studying the role of humanized-TLR8 on immune cell dynamics in the placental microenvironment in a spontaneous mouse model of aPL-induced pregnancy loss

GSE316139 Mus musculus (mouse) RNA-seq (gene expression) 57 samples Submitted 2026/02/10 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 57 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
Mus musculus (mouse)
Samples
57 samples: 6 conditions, mostly with about 11 replicates eachGroups 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)
Antiphospholipid antibodies (aPL) confer a high risk for adverse pregnancy outcomes, especially in women with SLE. aPLs can induce pro-inflammatory signaling via TLR8 receptors, but mouse models to study the role of TLR8 are limited due to the attenuated ssRNA-binding capacity of mouse TLR8. We generated a spontaneous model of aPL-induced pregnancy loss by crossing Sle1 mice with mice expressing a human TLR8 transgene (Sle1.huTLR8tg).
Read the full summary ↓
Sle1.huTLR8tg mice, but not Sle1 or C57BL6.huTLR8tg mice, have a high frequency of pregnancy loss, demonstrating the requirement for both autoantibodies and TLR8 in fetal-placental injury. Term placentas from Sle1.huTLR8tg mice displayed multiple abnormalities, including attenuation of vessels in the labyrinth, thinning of the junctional zone, thickened arterial walls, placental infarcts and inflammation. Resorptions were observed in Sle1.huTLR8tg mice at embryonic day (E)13.5, and Sle1.huTLR8tg feto-placental units were decreased in size as early as E8.5, suggesting early developmental defects. The goal of this study was to investigate transcriptional changes in early placental development that could be playing a role in the subsequent adverse pregnancy outcomes.
This dataset
Open GSE316139 in finder → Find more mouse 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 GSE316139_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 PRJNA1401706 and SRA study SRP661436. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly with about 11 replicates each
e13.5c ×13 e8.5n ×11 e8.5c ×11 e13.5n ×11 e13.5 ×7 e8.5 ×4

Supports a between-group comparison across 57 samples.

How we read this: 6 replicated groups read from 57 sample titles; they account for 57 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

+ 17 more — browse all 57 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.