Synaptic small and total RNAome from hippocampal Synaptosomes and the synaptic compartments of microfluidic chambers
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE159248 | GEO | 2021/02/22
REPOSITORIES: GEO
Similar Datasets
Project description:Synaptic small and total RNAome from hippocampal Synaptosomes and the synaptic compartments of microfluidic chambers
| PRJNA668132 | ENA
Project description:Cystatin B (CSTB) is a small protease inhibitor involved in cell proliferation and migration, and composition of extracellular matrix during brain development. Loss-of-function mutations in the gene encoding CSTB cause progressive myoclonic epilepsy 1 (EPM1). We previously demonstrated that CSTB is locally synthesized in the synaptosomes from rat brain and secreted into the media, indicating its role in synaptic plasticity. In this work, we further investigate the involvement of CSTB in synaptic plasticity, using synaptosomes from rodents’ brain, as well as from human Cerebral Organoids (hCOs). Our data demonstrated that CSTB is released by synaptosomes in two ways: as a soluble protein, and in extracellular vesicles-mediated manner. Synaptosomes isolated from hCOs are enriched in pre-synaptic proteins, as expected for an in vitro model of human synapses, and contain CSTB at all developmental stages analysed. However, only at late maturation stages synapse becomes physiologically active, i.e. particularly enriched with exocytosis-associated proteins. CSTB presence in the synaptic territories was confirmed also by immunostaining on human neurons in vitro. To investigate if the depletion of CSTB in EPM1 is affecting synaptic plasticity, we used synaptosomes from EPM1 hCOs. The synaptosomal levels of presynaptic proteins and of an initiation factor linked to local protein synthesis, were reduced in EPM1 hCOs compared to controls, and the extracellular vesicles trafficking was impaired. Moreover, morphological alteration was detected in neurons from EPM1 patients, indicating a connectivity deficit. In conclusion, our data indicate a significant role of synaptic CSTB in cell-to-cell communication in physiological and pathological conditions, and demonstrated that CSTB-dependent altered synaptic plasticity is one of the mechanisms underlying EPM1.
2024-08-10 | PXD041125 | Pride
Project description:Current RNA expression profiling methods rely on enrichment steps for specific RNA classes, thereby not detecting all RNA species in an unperturbed manner. We report strand-specific RNAome sequencing that determines expression of small and large RNAs from ribosomal RNA-depleted total RNA in a single sequence run. Since current analysis pipelines cannot reliably analyze small and large RNAs simultaneously, we developed TRAP, Total Rna Analysis Pipeline, a robust interface that is also compatible with existing RNA sequencing protocols. RNAome sequencing quantitatively preserved all RNA classes, allowing cross-class comparisons that facilitates the identification of relationships between different RNA classes. We demonstrate the strength of RNAome sequencing in mouse embryonic stem cells treated with cisplatin. MicroRNA and mRNA expression in RNAome sequencing significantly correlated between replicates and was in concordance with both existing RNA sequencing methods and gene expression arrays generated from the same samples. Moreover, RNAome sequencing also detected additional RNA classes such as enhancer RNAs, anti-sense RNAs, novel RNA species and numerous differentially expressed RNAs undetectable by other methods. At the level of complete RNA classes, RNAome sequencing also identified a specific global repression of the microRNA and microRNA isoform classes after cisplatin treatment whereas all other classes such as mRNAs were unchanged. These characteristics of RNAome sequencing will significantly improve expression analysis as well as studies on RNA biology not covered by existing methods. 8 mouse embryonic stem cell samples, control and cisplatin treated, 4 replicates per group
2015-04-01 | E-GEOD-47888 | biostudies-arrayexpress
Project description:Current RNA expression profiling methods rely on enrichment steps for specific RNA classes, thereby not detecting all RNA species in an unperturbed manner. We report strand-specific RNAome sequencing that determines expression of small and large RNAs from ribosomal RNA-depleted total RNA in a single sequence run. Since current analysis pipelines cannot reliably analyze small and large RNAs simultaneously, we developed TRAP, Total Rna Analysis Pipeline, a robust interface that is also compatible with existing RNA sequencing protocols. RNAome sequencing quantitatively preserved all RNA classes, allowing cross-class comparisons that facilitates the identification of relationships between different RNA classes. We demonstrate the strength of RNAome sequencing in mouse embryonic stem cells treated with cisplatin. MicroRNA and mRNA expression in RNAome sequencing significantly correlated between replicates and was in concordance with both existing RNA sequencing methods and gene expression arrays generated from the same samples. Moreover, RNAome sequencing also detected additional RNA classes such as enhancer RNAs, anti-sense RNAs, novel RNA species and numerous differentially expressed RNAs undetectable by other methods. At the level of complete RNA classes, RNAome sequencing also identified a specific global repression of the microRNA and microRNA isoform classes after cisplatin treatment whereas all other classes such as mRNAs were unchanged. These characteristics of RNAome sequencing will significantly improve expression analysis as well as studies on RNA biology not covered by existing methods. 8 mouse embryonic stem cell samples, 4 control and 4 cisplatin treated, 4 replicates per group for Affymetrix arrays. Of these, 6 were used for sequencing and are reported in this Series.
2015-04-01 | E-GEOD-48083 | biostudies-arrayexpress
Project description:Preliminary Summary: In this study, we set to specifically analyze effects of aging on differential splicing in the local synaptic proteome. To this end, we analyzed the RNA extracted from synaptosomes obtained from cerebral cortices of C57BL/6 mice of 3 weeks, 5 months and 19 months of age. Synaptosomes are artificial, membranous sacs that contain synaptic components and are generated by subcellular fractionation of homogenized or ground-up nerve tissue. We employ RNA-seq using paired long-reads to obtain comprehensive sequence information on synaptic transcripts and two different bioinformatic methods (DIEGO and LeafCutter) to quantify differential splicing. Finally, the change in the usage of the selected junctions was validated through RT-qPCR and RT-PCR using an independent set of samples.
2024-03-06 | GSE146636 | GEO
Project description:Current RNA expression profiling methods rely on enrichment steps for specific RNA classes, thereby not detecting all RNA species in an unperturbed manner. We report strand-specific RNAome sequencing that determines expression of small and large RNAs from ribosomal RNA-depleted total RNA in a single sequence run. Since current analysis pipelines cannot reliably analyze small and large RNAs simultaneously, we developed TRAP, Total Rna Analysis Pipeline, a robust interface that is also compatible with existing RNA sequencing protocols. RNAome sequencing quantitatively preserved all RNA classes, allowing cross-class comparisons that facilitates the identification of relationships between different RNA classes. We demonstrate the strength of RNAome sequencing in mouse embryonic stem cells treated with cisplatin. MicroRNA and mRNA expression in RNAome sequencing significantly correlated between replicates and was in concordance with both existing RNA sequencing methods and gene expression arrays generated from the same samples. Moreover, RNAome sequencing also detected additional RNA classes such as enhancer RNAs, anti-sense RNAs, novel RNA species and numerous differentially expressed RNAs undetectable by other methods. At the level of complete RNA classes, RNAome sequencing also identified a specific global repression of the microRNA and microRNA isoform classes after cisplatin treatment whereas all other classes such as mRNAs were unchanged. These characteristics of RNAome sequencing will significantly improve expression analysis as well as studies on RNA biology not covered by existing methods.
2015-04-01 | GSE48083 | GEO
Project description:Current RNA expression profiling methods rely on enrichment steps for specific RNA classes, thereby not detecting all RNA species in an unperturbed manner. We report strand-specific RNAome sequencing that determines expression of small and large RNAs from ribosomal RNA-depleted total RNA in a single sequence run. Since current analysis pipelines cannot reliably analyze small and large RNAs simultaneously, we developed TRAP, Total Rna Analysis Pipeline, a robust interface that is also compatible with existing RNA sequencing protocols. RNAome sequencing quantitatively preserved all RNA classes, allowing cross-class comparisons that facilitates the identification of relationships between different RNA classes. We demonstrate the strength of RNAome sequencing in mouse embryonic stem cells treated with cisplatin. MicroRNA and mRNA expression in RNAome sequencing significantly correlated between replicates and was in concordance with both existing RNA sequencing methods and gene expression arrays generated from the same samples. Moreover, RNAome sequencing also detected additional RNA classes such as enhancer RNAs, anti-sense RNAs, novel RNA species and numerous differentially expressed RNAs undetectable by other methods. At the level of complete RNA classes, RNAome sequencing also identified a specific global repression of the microRNA and microRNA isoform classes after cisplatin treatment whereas all other classes such as mRNAs were unchanged. These characteristics of RNAome sequencing will significantly improve expression analysis as well as studies on RNA biology not covered by existing methods.
2015-04-01 | GSE47888 | GEO
Project description:current synapse proteomics are restricted to “average” composition of abundant synaptic proteins. Here we performed a subcellular proteomic workflow that could identify and quantify the deep proteome of synaptic vesicles purified from rat whole brain, including previously missing proteins present in a small percentage of central synapses. This synaptic vesicle proteome newly detected many proteins of physiological and pathological relevance particularly in low abundance range, thus providing a resource for future investigations on diversified synaptic functions and neuronal dysfunctions.
Raw data from 3 replicates of synaptosomes (P2') and 3 replicates of SV are deposited here. Each replicate coming from 24 fractions from a peptide fractionation step in the workflow.
2020-12-31 | PXD021549 | JPOST Repository
Project description:Parkinson´s disease (PD) feature a progressive degeneration of dopaminergic neurons in the substantia nigra (SN). Additionally, numerous studies indicate an altered synaptic function during the course of PD. In order to characterize the proteome of synaptosomes isolated from the substantia nigra and to gain new insights into the molecular processes underlying the alteration of synaptic function in PD, a proteomic study was conducted. Synaptosomes were isolated from substantia nigra tissue of control subjects free of pathology (N = 5) and individuals at advanced PD stages (N = 5) by density gradient centrifugation and further analyzed by mass spectrometry. 362 proteins were identified and assigned to the synaptosomal core proteome. This core proteome includes all proteins expressed within the synapses without regards to data analysis software, gender, age or disease. The CD9 antigen was overrepresented and fourteen proteins, among them Thymidine kinase 2 (TK2), mitochondrial, 39S ribosomal protein L37, mitochondrial,, Neurolysin, and Methionine-tRNA ligase, mitochondrial (MARS2)) were underrepresented suggesting an alteration in mitochondrial translation in PD synaptosomes.
2021-06-07 | PXD022092 | Pride
Project description:Filamentous actin (F-actin) is one of the major cytoskeleton proteins present in dendritic spines and it is an essential component for defining dendritic spine morphology. We have shown that synaptosomal F-actin levels were significantly decreased in APP/PS1 mice as early as one month of age. The molecular mechanisms involved in F-actin loss in synaptosomes, the underlying factors and the functional consequence involved needs to be elucidated. Synaptic neurotransmission and synaptic plasticity are dependent on the dynamic regulation of the actin through actin interacting and actin-modulating proteins. F-actin nanoarchitecture is regulated by several factors, such as reactive oxygen species and cofilin and others that are present in the dendritic spines. Yet, the key players and their role in synaptosomal F-actin organization remains unknown. Here, we characterized actin interactome from wild type and APP/PS1 male mice.
2024-10-17 | PXD050802 | Pride