GEO series
Differentially expressed transcripts associated with depressive symptoms during pregnancy and postpartum
GSE290313
Homo sapiens (human)
RNA-seq (gene expression)
301 samples
Submitted 2025/09/24
Platform GPL24676
At a glance
RNA-seq (gene expression) · human · 301 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
- 301 samples: 301 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
- Differentially expressed transcripts associated with depressive symptoms during pregnancy and postpartumMolecular psychiatry · 2025
Summary (written by the submitters)
Peripartum depression can have severe impact on the mother’s and the infant’s health. Yet, its biological underpinnings are largely unknown. The present study sought to identify transcriptomic signatures of depressive symptoms during pregnancy and postpartum. Blood samples were collected during late pregnancy or early postpartum for mRNA isolation and sequencing, while depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale.
Read the full summary ↓
Stratifying according to the timepoint samples were collected, differentially expressed genes (DEGs) were identified by (1) comparing mRNA levels between the symptom trajectory groups, and (2) correlating with EPDS scores. DEGs for samples collected late pregnancy, but not postpartum, were associated with depressive symptoms occurring only during pregnancy or persisting postpartum, compared with controls. There were 16 upregulated and 109 downregulated DEGs significantly associated with changes in EPDS score at week 32 among samples collected late pregnancy. Gene Set Enrichment Analysis identified immune response and cell motility as processes linked to these DEGs. Hypothesis-based analysis on previously identified postpartum depressive symptoms-related DEGs, replicated a positive association between expression of immune-related genes ISG15 and RSAD2 with postpartum-onset depressive symptoms, both at samples taken during late pregnancy and postpartum. The present findings point to transcriptomic signatures associated with depressive symptoms, mostly related to immune system dysregulation.
Published in
Björvang RD, Vrettou M, Bujanda Cundin X et al.
· Molecular psychiatry 2025
· PMID 40473930
· doi:10.1038/s41380-025-03068-z
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 GSE290313_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 PRJNA1227464 and SRA study SRP565908. Searching any of these in the dataset finder brings you back here.
Study design
301 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 301 sample titles: 301 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
- GSM8810322 DE33NGSUKBR129171_Depressive symptomes only postpartum [pregnancy sample]
- GSM8810323 DE29NGSUKBR129146_Control, no depressive symptomes [pregnancy sample]
- GSM8810324 DE93NGSUKBR129158_Control, no depressive symptomes [pregnancy sample]
- GSM8810325 DE73NGSUKBR129130_Depressive symptomes only postpartum [pregnancy sample]
- GSM8810326 DE49NGSUKBR129174_Control, no depressive symptomes [pregnancy sample]
- GSM8810327 DE51NGSUKBR129138_Depressive symptomes only postpartum [pregnancy sample]
- GSM8810328 DE95NGSUKBR129122_Control, no depressive symptomes [pregnancy sample]
- GSM8810329 DE82NGSUKBR129162_Depressive symptomes only during pregnancy [pregnancy sample]
- GSM8810330 DE11NGSUKBR129179_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810331 DE86NGSUKBR129090_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810332 DE59NGSUKBR129091_Control, no depressive symptomes [pregnancy sample]
- GSM8810333 DE42NGSUKBR129106_Control, no depressive symptomes [pregnancy sample]
- GSM8810334 DE38NGSUKBR129178_Depressive symptomes only during pregnancy [pregnancy sample]
- GSM8810335 DE37NGSUKBR129099_Depressive symptomes only during pregnancy [pregnancy sample]
- GSM8810336 DE60NGSUKBR129170_Control, no depressive symptomes [pregnancy sample]
- GSM8810337 DE15NGSUKBR129107_Control, no depressive symptomes [pregnancy sample]
- GSM8810338 DE71NGSUKBR129166_Control, no depressive symptomes [pregnancy sample]
- GSM8810339 DE77NGSUKBR129155_Control, no depressive symptomes [pregnancy sample]
- GSM8810340 DE07NGSUKBR129154_Control, no depressive symptomes [pregnancy sample]
- GSM8810341 DE20NGSUKBR129114_Control, no depressive symptomes [pregnancy sample]
- GSM8810342 DE46NGSUKBR129131_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810343 DE68NGSUKBR129123_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810344 DE55NGSUKBR129163_Control, no depressive symptomes [pregnancy sample]
- GSM8810345 DE63NGSUKBR129116_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810346 DE48NGSUKBR129095_Depressive symptomes only postpartum [pregnancy sample]
- GSM8810347 DE18NGSUKBR129150_Control, no depressive symptomes [pregnancy sample]
- GSM8810348 DE85NGSUKBR129108_Depressive symptomes only during pregnancy [pregnancy sample]
- GSM8810349 DE41NGSUKBR129124_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810350 DE02NGSUKBR129147_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810351 DE24NGSUKBR129139_Control, no depressive symptomes [pregnancy sample]
- GSM8810352 DE90NGSUKBR129115_Depressive symptomes during pregnancy and postpartum [pregnancy sample]
- GSM8810353 DE19NGSUKBR129132_Depressive symptomes only postpartum [pregnancy sample]
- GSM8810354 DE70NGSUKBR129087_Control, no depressive symptomes [pregnancy sample]
- GSM8810355 DE89NGSUKBR129133_Depressive symptomes only during pregnancy [pregnancy sample]
- GSM8810356 DE45NGSUKBR129149_Depressive symptomes only during pregnancy [pregnancy sample]
- GSM8810357 DE05NGSUKBR129093_Control, no depressive symptomes [pregnancy sample]
- GSM8810358 DE76NGSUKBR129173_Control, no depressive symptomes [pregnancy sample]
- GSM8810359 DE23NGSUKBR129157_Control, no depressive symptomes [pregnancy sample]
- GSM8810360 DE14NGSUKBR129125_Control, no depressive symptomes [pregnancy sample]
- GSM8810361 DE67NGSUKBR129141_Depressive symptomes only postpartum [pregnancy sample]
+ 261 more — browse all 301 samples with per-sample file links →
Datasets on a similar topic
- GSE308395 Identification of Differentially Expressed Genes and Associated Immune Cell Types In South African Gallbladder Cancer Patients 10 samples shares differentially, expressed
- GSE276889 Mitochondria isolated from male skeletal muscle contain a small and distinct population of microRNA that are differentially expressed following acute endurance exercise 33 samples shares differentially, expressed
- GSE279412 Differentially Expressed Genes in C-33A and CaSki Cells Overexpressing miR-124-3p, miR-23b-3p, or miR-218-5p Modulate Processes and Pathways Involved in Cervical Cancer Progression 23 samples shares differentially, expressed
- GSE267808 Differentially expressed genes in HBV related hepatic disease patients and the correlation with prognosis 20 samples shares differentially, expressed
- GSE296744 Differentially expressed mRNA in biological premature ovarian insufficient (bPOI) 17 samples shares differentially, expressed
- GSE302831 Identification of differentially expressed genes in psoriasis by RNA sequencing 14 samples shares differentially, expressed
- GSE315074 Differentially expressed genes in human monocyte-derived macrophages overexpressing TRIM21, NFATc3, or ASK1 12 samples shares differentially, expressed
- GSE241023 Investigation of differentially expressed genes in subpopulations of adherent human umbilical vein endothelial cells (HUVECS) isolated after fluid shear stress compared to the whole population of endothelial cells 12 samples shares differentially, expressed
Share this dataset
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.