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RNA-seq analysis of NSC-34 mouse motor neuron-like cells treated with Negative Control siRNA#1 (siNC#1), siNC#2, Fus siRNA#1 (siFus#1), siFus#4, siFus#5 and siRNA (-) control

ABSTRACT: Fused in sarcoma/translated in liposarcoma (FUS) is a causative gene of familial amyotrophic lateral sclerosis (fALS). Mutated FUS causes accumulation of DNA damage and stress granule (SG) formation, etc., thereby motor neuron (MN) death. However, key molecular aetiology of mutated FUS-dependent fALS (fALS-FUS) remains unclear. Here, both regular bioinformatics and Bayesian gene regulatory networks (GRN) analyses were applied to large-scale transcriptome datasets of induced pluripotent stem cell (iPSC)-derived MNs possessing wild-type form of FUS and mutated FUSH517D (FUSH517D MNs). From regular bioinformatics provided DNA damage response (DDR)-related genes were uniformly down-regulated in FUSH517D MNs. Bayesian GRN calculated by Super-Computer identified miR-125b-5p, TIMELESS and PRKDC as "hub genes/miRNA" which influence the GRNs. miR-125b-5p was up-regulated in FUSH517D MNs and negatively correlated with FUS, TIMELESS and miR-125b-5p target mRNAs. Introduction of miR-125b-5p suppressed Fus, Timeless and DDR-related genes in addition to miR-125b-5p targets in expression, and caused DNA damage. Furthermore, knocking-down Timeless expression caused DNA damage. PRKDC was down-regulated in FUSH517D MNs and the cellular model analyses validated DNA damage under impaired DNA-PK activity promoted FUS mis-localization to SGs. Collectively, our strategy with Bayesian GRNs based on the iPSC model would provide the first compelling evidence to elucidate fALS-FUSH517D molecular aetiology.

ORGANISM(S): Mus musculus

PROVIDER: GSE125654 | GEO | 2021/04/19

REPOSITORIES: GEO

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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.

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RNA-seq analysis of NSC-34 mouse motor neuron-like cells treated with Negative Control siRNA#1 (siNC#1), siNC#2, Fus siRNA#1 (siFus#1), siFus#4, siFus#5 and siRNA (-) control

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