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Microglia-like cells derived from patients with obsessive-compulsive disorder and social anxiety disorder

GSE308457 Homo sapiens (human) RNA-seq (gene expression) 37 samples Submitted 2025/12/31 Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 37 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
37 samples: 37 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.
Summary (written by the submitters)
Microglia are central to neuroimmune surveillance and synaptic remodeling, yet their contribution to obsessive–compulsive disorder (OCD) remains unclear. Here, we generated patient-derived microglia-like cells (iMGs) from OCD (n = 19), social anxiety disorder (SAD; n = 16), and healthy control (HC; n = 20) participants to identify the molecular and functional alterations in OCD-iMGs and to find therapeutic targets capable of restoring their functions.
Read the full summary ↓
Bulk transcriptomic profiling of iMGs identified a selective reduction of MDM2 in OCD-iMGs. Notably, MDM2 mRNA was negatively correlated with Dimensional Obsessive-Compulsive Scale (DOCS) scores. Functional assays in siRNA-transfected primary microglia demonstrated that MDM2 knockdown impaired synaptosome phagocytosis and blunted LPS induced inflammatory responses, validating MDM2 as a mechanistic node. A Connectivity Map analysis nominated bortezomib, and subsequent experiments showed that bortezomib restored MDM2 expression and rescued phagocytic and immune functions in both MDM2-deficient microglia and OCD-iMGs. Collectively, these findings implicate microglial MDM2 reduction as a feature of OCD with direct functional consequences.
This dataset
Open GSE308457 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 GSE308457_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 PRJNA1330619 and SRA study SRP621850. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
37 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 24 samples read as cases, 13 as controls.

How we read this: Read from 37 sample titles: 37 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
Datasets on a similar topic

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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.