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2 additional projects are components of the Dysregulation of miRNA-9 in a subset of schizophrenia patient-derived neural progenitor cells.
To follow-up findings that miR-9 was abundantly expressed in control NPCs, significantly down-regulated in a subset of SZ NPCs, and that miR-9 levels/activity, neural migration and diagnosis were strongly correlated, we tested the effect of manipulating miR-9 at cellular, proteomic and transcriptomic levels. Unexpectedly, proteomic- and RNAseq-based analysis revealed that these effects were mediated primarily by small changes in expression of indirect miR-9 targets, rather than large changes in direct miR-9 targets; these indirect targets are enriched for migration-associated genes. Together these data indicate that aberrant levels and activity of miR-9 may be one of the many factors that contribute to SZ risk, at least in a subset of patients.
Methods: We compared global transcription of forebrain NPCs from two control and two SZ patients with manipulated miR-9 levels by RNAseq.
Results: Although RNAseq analysis revealed large inter-individual heterogeneity, we were able to resolve several functional consistencies in the effects of our miR-9 perturbations: i) the change in miR-9 activity was consistent with the inhibitory role of miR-9, ii) the gene expression fold-change of miR-9 target genes (between each perturbation and its corresponding control, summarized by the first principal component) was correlated (r=0.95, p=3.92e-04) with miR-9 fold change and iii) the differentially expressed (DE; p <0.01) gene list resulting from miR-9 perturbation (paired t-test) was enriched for miR-9 targets (1.53-fold, p=1.2e-5).
Conclusions: We integrated the miR-9 perturbation RNAseq data with our existing RNAseq datasets contrasting control and SZ hiPSC NPC expression from our cohort 1 (six controls, four patients), to ask whether there was any relationship between the “SZ NPC signature” and “miR-9 perturbation” datasets; we observed that the DE (p-value <0.01) in “SZ NPC signature” is enriched for DE (fdr<0.01) in “miR-9 perturbation” (the overall enrichment is 2.31-fold (p=9.39e-09)); there is significant correlation between DE fold-change in these two datasets (overall genes r=0.188; p<10e-50). Effects were mediated primarily by small changes in expression of indirect miR-9 targets, rather than large changes in direct miR-9 targets; these indirect targets are enriched for migration-associated genes
Overall design: Biological duplicates of passage-matched NPCs from 1 control (female) and 1 SZ patient (female) were transduced with either RV-GFP or RV-miR-9-GFP; GFP-positive NPCs were purified by fluorescent activated cell sorting (FACS) and expanded for two passages. In parallel, passage-matched NPCs from 2 controls (1 male, 1 female) and 2 SZ patients (1 male, 1 female) were transiently transfected with either scrambled or miR-9 LNA probes. In both instances, miR-9 perturbation was confirmed by qPCR.
Accession | PRJNA318168; GEO: GSE80170 |
Data Type | Transcriptome or Gene expression |
Scope | Multiisolate |
Organism | Homo sapiens[Taxonomy ID: 9606] Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Primates; Haplorrhini; Catarrhini; Hominidae; Homo; Homo sapiens |
Publications | Topol A et al., "Dysregulation of miRNA-9 in a Subset of Schizophrenia Patient-Derived Neural Progenitor Cells.", Cell Rep, 2016 May 3;15(5):1024-1036 |
Grants | - "Contrasting causal microRNAs in forebrain and midbrain COS hiPSC neural cells" (Grant ID R01 MH101454, NIH National Institute of Mental Health)
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Submission | Registration date: 12-Apr-2016 Psychiatry, Icahn School of Medicine at Mount Sinai |
Relevance | Medical |
Project Data:
Resource Name | Number of Links |
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Sequence data |
SRA Experiments | 16 |
Publications |
PubMed | 1 |
PMC | 1 |
Other datasets |
BioSample | 16 |
GEO DataSets | 1 |