Dataset Information

Distinct microRNA signatures define sporadic PSP-RS and PD in patient-derived midbrain organoids

ABSTRACT: Progressive Supranuclear Palsy–Richardson Syndrome (PSP-RS) is a rare, rapidly progressive neurodegenerative tauopathy frequently misdiagnosed as Parkinson’s Disease (PD) due to overlapping clinical features. The lack of reliable molecular biomarkers for early and differential diagnosis presents a major clinical challenge. To address this, we developed human midbrain organoids from induced pluripotent stem cells (iPSCs) derived from patients with sporadic PSP-RS, PD, and healthy controls (HCs), and profiled microRNA (miRNA) expression dynamics using small RNA sequencing. These 3D organoid models faithfully recapitulate key pathological hallmarks, including tau hyperphosphorylation in PSP-RS and Lewy body–like α-synuclein inclusions in PD. Our analysis revealed temporally dynamic, disease-specific miRNA signatures: miR-5683, miR-873-5p, miR-219b-5p, and miR-219a-2- 3p were selectively upregulated in PSP-RS, whereas PD organoids showed increased levels of miR-1-3p, miR-133b, miR-10b-5p, and miR-199a-5p. Additionally, miR-5683, miR-3085- 3p, miR-138-2-3p, and miR-124-3p emerged as key discriminators between PSP-RS and HCs. These findings highlight the utility of iPSC-derived midbrain organoids as a translationally relevant platform to uncover disease-specific regulatory networks and identify candidate miRNA biomarkers for atypical parkinsonian syndromes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE294029 | GEO | 2025/08/20

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Newer 3D culturing approaches are a promising way to better mimic the in vivo tumor microenvironment and to study the interactions between the heterogeneous cell populations of glioblastoma multiforme. Like many other tumors, glioblastoma uses extracellular vesicles as an intercellular communication system to prepare surrounding tissue for invasive tumor growth. However, little is known about the effects of 3D culture on extracellular vesicles. The aim of this study was to comprehensively characterise extracellular vesicles in 3D organoid models and compare them to conventional 2D cell culture systems.Methods: Primary glioblastoma cells were cultured as 2D and 3D organoid models. Extracellular vesicles were obtained by precipitation and immunoaffinity, with the latter allowing targeted isolation of the CD9/CD63/CD81 vesicle subpopulation. Comprehensive vesicle characterisation was performed and miRNA expression profiles were generated by smallRNA-sequencing. In silico analysis of differentially regulated miRNAs was performed to identify mRNA targets and corresponding signaling pathways. The tumor cell media and extracellular vesicle proteome were analysed by high-resolution mass spectrometry.Results: We observed an increased concentration of extracellular vesicles in 3D organoid cultures. Differential gene expression analysis further revealed the regulation of twelve miRNAs in 3D tumor organoid cultures (with nine miRNAs down and three miRNAs upregulated). MiR-23a-3p, known to be involved in glioblastoma invasion, was significantly increased in 3D. MiR-7-5p, which counteracts glioblastoma malignancy, was significantly decreased. Moreover, we identified four miRNAs (miR- 323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer associated genomic region, suggesting a possible importance of this region in glioblastoma progression. Overrepresentation analysis identified alterations of extracellular vesicle cargo in 3D organoids, including representation of several miRNA targets and proteins primarily implicated in the immune response.Conclusion: Our results show that 3D glioblastoma organoid models secrete extracellular vesicles with an altered cargo compared to corresponding conventional 2D cultures. Extracellular vesicles from 3D cultures were found to contain signaling molecules associated with the immune regulatory signaling pathways and as such could potentially change the surrounding microenvironment towards tumor progression and immunosuppressive conditions. These findings suggest the use of 3D glioblastoma models for further clinical biomarker studies as well as investigation of new therapeutic options.

Project description:Rationale: Currently, there are no blood-based biomarkers with clinical utility for acute ischemic stroke (IS). microRNAs (miRNAs) show promise as disease markers due to their cell-type specific expression patterns and stability in peripheral blood. Objective: To identify circulating miRNAs associated with acute IS, determine their temporal course up to 90 days post-stroke, and explore their utility as an early diagnostic marker. Methods and Results: We used RNA sequencing to study expression changes of circulating miRNAs in a discovery sample of 20 IS patients and 20 matched healthy control subjects (HCs). We further applied qRT-PCR in independent samples for validation (40 IS patients and 40 matched controls), replication (200 IS patients, 100 HCs), and in 72 patients with transient ischemic attacks (TIA). Sampling of patient plasma was done immediately upon hospital arrival. We identified, validated, and replicated three differentially expressed miRNAs, which were upregulated in IS patients compared to both HCs (miR-125a-5p [1.8-fold; P=1.5x10-6], miR-125b-5p [2.5-fold; P=5.6x10-6], and miR-143-3p [4.8-fold; P=7.8x10-9]) and TIA patients (miR-125a-5p: P=0.003, miR-125b-5p: P=0.003, miR-143-3p: P=0.005). Longitudinal analysis of expression levels up to 90 days after stroke revealed a normalization to control levels for miR-125b-5p and miR-143-3p starting at day two, while miR-125a-5p remained elevated. Levels of all three miRNAs depended on platelet numbers in a platelet spike-in experiment, but were unaffected by chemical hypoxia in N2a cells and in experimental stroke models. In a random forest classification, miR-125a-5p, miR-125b-5p and miR-143-3p differentiated between HCs and IS patients with an area under the curve (AUC) of 0.90 (sensitivity: 85.6%; specificity: 76.3%), which was superior to multimodal cranial computed tomography obtained for routine diagnostics (sensitivity: 72.5%) and previously reported biomarkers of acute IS (neuron specific enolase: AUC=0.69, interleukin 6: AUC=0.82). Conclusions: A set of circulating miRNAs (miR-125a-5p, miR-125b-5p, miR-143-3p) associates with acute IS and might have clinical utility as an early diagnostic marker.

Dataset Information

Distinct microRNA signatures define sporadic PSP-RS and PD in patient-derived midbrain organoids

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets