Project description:Previous studies in bulk tissue suggest that there are abundant expression quantitative trait loci (eQTLs) in human brain. This sample series is of cerebellar Purkinje cells isolated using laser capture microdissection from human cases without neurological disease but of known genotypes. These data may be helpful in confirming eQTLs in bulk tissue or in mapping other gene expression traits in an enriched neuronal population. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249 The aim of this study was to examine gene expression in isolated purkinje cells from the human cerebellum. We obtained frozen brain tissue from the cerebellum. We stained sections with cresyl violet and separated Purkinje cells based on morphology and location within the cerebellum using laser capture microdissection. Expression analyses were then performed.
Project description:Previous studies in bulk tissue suggest that there are abundant expression quantitative trait loci (eQTLs) in human brain. This sample series is of cerebellar Purkinje cells isolated using laser capture microdissection from human cases without neurological disease but of known genotypes. These data may be helpful in confirming eQTLs in bulk tissue or in mapping other gene expression traits in an enriched neuronal population. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249
Project description:We performed gene-expression analysis of mouse cerebellar granule cell layer as compared to that of Purkinje cells. DNA microarray analysis detected genes in cerebellar granule cell layer, most of which are classified into functional molecule categories. Our comparative analysis between Purkinje cells and the granule cell layer showed that the characteristic expression pattern in Purkinje cells was particularly represented by M-bM-^@M-^\the neural communication systemM-bM-^@M-^] components. Pukinje cells and granule cell layer of the mouse cerebellum were collected by laser microdissection for RNA extraction and hybridization on Affymetrix microarrays.
Project description:RNA-seq evaluation of enriched Purkinje cells from the post-mortem human cerebellum. Purkinje cells were removed via laser capture microdissection and pooled for RNA-extraction and sequencing. 24 ET patients and 16 controls healthy age matched were compared.
Project description:At present, the underlying neuronal mechanisms leading to an autism spectrum disorder (ASD) diagnosis have not been identified. However, studies from human postmortem ASD brains have consistently revealed disruptions in cerebellar circuitry, specifically with a reduction in Purkinje cell (PC) number and size. Alterations in cerebellar circuitry would have important implications for information processing within the cerebellum and affect a wide range of human motor and non-motor behaviors. Laser capture microdissection was performed to obtain pure PC populations from a cohort of postmortem control and ASD cases and transcriptional profiles were compared.
Project description:While nearly comprehensive proteome coverage can be achieved from bulk tissue or cultured cells, the data usually lacks spatial resolution. As a result, tissue based proteomics averages protein abundance across multiple cell types and/or localisations. With proteomics platforms lacking sensitivity and throughput to undertake deep single-cell proteome studies to resolve spatial or cell type dependent protein expression gradients within tissue, proteome analysis has been combined with sorting techniques to enrich for certain cell populations. However, the tissue context and spatial resolution is lost in the sorting process. Here, we report an optimised method for the proteomic analysis of neurons isolated from post-mortem human brain by Laser Capture Microdissection (LCM). We tested combinations of sample collection methods, lysis buffers and digestion methods to maximize the number of identifications and quantitative performance, identifying up to 1500 proteins from 60,000 µm2 of cerebellar molecular layer with excellent reproducibility. In order to demonstrate the ability of our workflow to resolve for the first time cell type specific proteomes within a tissue, we isolated sets of individual Betz and Purkinje cells. Both neuronal cell types are involved in motor coordination and were found to express highly specific proteomes to a depth of 2800 to 3600 proteins.
Project description:We used laser capture microdissection to isolate both microvascular endothelial cells and neurons from post mortem brain tissue from patients with schizophrenia and bipolar disorder and healthy controls. RNA was isolated from these cell populations, amplified, and analysed using Affymetrix HG133plus2.0 GeneChips. In the first instance, we used the dataset to compare the neuronal and endothelial data, in order to demonstrate that the predicted differences between cell types could be detected using this methodology. Keywords: cell type comparison, laser capture microdissection
