Similar Datasets
Project description:miRNA Expression from Cerebrospinal Fluid (CSF) from Prodromal Huntington Disease Patients
| PRJNA631401 | ENA
Project description:To determine whether the microRNA content of CSF vesicles changes throughout life we performed experiments including miRNA microarrays. Hierarchical clustering analysis indicated that the miRNA content of CSF vesicles changes when patients less than 2 years are compared to those older than 70 years of age. CSF vesicles were fractionated and isolated from patients of different ages, total RNA extracted, and subjected to miRNA microarray analysis
2014-11-24 | E-GEOD-57713 | biostudies-arrayexpress
Project description:To determine whether the microRNA content of CSF vesicles changes throughout life we performed experiments including miRNA microarrays. Hierarchical clustering analysis indicated that the miRNA content of CSF vesicles changes when patients less than 2 years are compared to those older than 70 years of age.
2014-11-24 | GSE57713 | GEO
Project description:Alzheimer’s disease (AD) is an age-related neurodegenerative disorder in which neuroinflammation plays a critical function. Recurring viral infections and loss of immune competence increase risk for developing AD, yet the cellular and molecular mechanisms driving these immune changes are unknown. Here we performed mass cytometry of peripheral blood mononuclear cells and detected an immunologic signature of AD characterized by increased numbers of CD8+ T effector memory CD45RA+ (TEMRA) cells. CD8+ TEMRA cells were negatively associated with cognition and single cell RNA sequencing revealed their cytotoxic effector function. Strikingly, we discovered identical, shared T cell receptors (TCRs) of clonally expanded CD8+ TEMRA cells in cerebrospinal fluid (CSF) of three AD patients. Deep TCR sequencing, machine learning, and peptide screens identified the HLA-B*08:01-restricted Epstein-Barr virus trans-activator protein BZLF1 as the cognate antigen of a novel AD CSF TCR . These results provide the first evidence of clonal, antigen-specific T cells patrolling the intrathecal space of brains affected by age-related neurodegeneration
2019-11-04 | GSE134577 | GEO
Project description:Purpose: Leptomeningeal metastasis (LM) is a dismal terminal stage disease of solid cancer without definitive treatment. Both the limitation of cerebrospinal fluid (CSF) sample volume and a paucity of floating cancer cells are difficulties to study the genomic profiling of LM. As the profiling of microRNAs reflect the strategy and behavior of cancer cells to survive, and CSF is carrying micro-molecules from central nervous system (CNS), we evaluated the extracellular microRNA profiles of CSF from different CNS tumor status including LM. Materials and Methods: We prospectively collected CSF from 65 patients of five groups of cancer control (CC), healthy control (HC), LM, brain metastasis (BM); and brain tumor (BT). Extracellular RNA was extracted from 2 mL of CSF after proper cell down, and preceded to small RNA microarray with Affymetrix miRNA 4.0 microarray chips. Results: The mean RNA yield of LM patients was significantly higher compared to that of other patients groups (9.28 vs. 6.30 ㎍, p = 0.003). The small RNA (< 70 nucleotides) percentage was the highest in controls than that of other groups (53% vs. 26%, p < 0.001). Among 6,599 small RNA probes, mature microRNAs showed higher expression than that of pre-microRNAs and small nucleolar RNAs. The number of probes with the Present call in all samples is 22 mature microRNAs, 18 pre-mature microRNAs, and 27 small nucleolar RNAs. Expression value of mature microRNAs regarding their direction of 5 prime (5p) and 3 prime (3p), the expression of 3p microRNA is higher than those of 5p microRNA in both LM and BM samples (p < 0.001). Both supervised and unsupervised hierarchical clustering of 263 microRNAs, which showed more than 2 fold change at a significance level of p < 0.05, can differentiate LM from other CNS tumor patient groups. Prediction analysis of microarray (PAM) identified 13 microRNAs differentiate LM group from others including hsa-miR-335-5p and hsa-miR-466. MicroRNA profiling using significance of analysis of microarrays (SAM) analysis did not differentiate HC and CC. Whereas CSF samples from patients with LM showed the most number of 108 differentially expressed (more than 2 fold change) microRNAs compared to control group and also revealed 36 differentially expressed microRNAs between LM and BM including hsa-miR-466, hsa-miR-190a-3p, hsa-miR-98-3p, hsa-miR-34b-3p and so on. Representative discriminative microRNAs from microarray data were confirmed their expression level by digital droplet PCR in available CSF samples among the microarray samples. Gene Set Enrichment Analysis was performed using both 10 highly expressed and 6 suppressed microRNAs between LM and BM after normalization and 13 microRNAs from PAM analysis. The most targeted pathway was ‘positive-/ negative-transcription from RNA polymerase II promoter followed by ‘positive regulation of transcription, DNA-templated’ by discriminative microRNAs. When pathways were denoted by microRNAs from PAM, the most enriched pathway was inflammatory response and transcription relative to immune response. Conclusion: We performed extracellular small RNA microarray successfully with small volume of CSF. Analysis of profiles of microRNA according to patients with various CNS tumor status suggested the unique profiles might responsible for leptomeningeal metastasis.
2020-09-29 | GSE138092 | GEO
Project description:Purpose: Profiling the bulk transcriptomes of CSF cells in sepsis-developed BM progression. Methods: The total RNA of CSF cells from BM patients were extracted, and constructed into cDNA library. Raw data of mRNA profiles were sequenced by paired-end strategy. Gene-counts were generated through handling sequencing data with the combined workflow of UMI-tools, STAR, Subread package and Samtools. Results: Successfully acquirng multiple bulk-transcriptomic profiles of CSF cells from BM patients in different sepsis conditions.
2020-12-15 | GSE163195 | GEO
Project description:We reported that the microRNA profiling of exosome isolated from 58 cerebrospinal fluid (CSF) of 38 medulloblastoma (MBL) patient with or without letomeningeal metastases (LM). CSF exosome was precipitated using Exo2DTM for RNA assay (EXOSOME plus, Suwon, South Korea) according to the manufacture’s protocol (Kim, et al. 2017). 2 ml of CSF were added to Exo2DTM reagent B following mixing by inverting, and incubated at room temperature for 30 min. The supernatant was discarded and the exosome containing pellet was resuspended in 100 ul of PBS to further RNA isolation. Total RNA was extracted from the CSF exosome fraction using a microRNA purification kit (Norgen Biotek corp., Thorold, Canada) according to the manufacture’s protocol. Briefly, samples were mixed with lysis buffer, and the lysate was added to absolute ethanol. The lysate was applied up to the column and centrifuged at 8,000 rpm for 1 min. The column was washed with wash solution and centrifuged at 14,000 rpm for 1 min. Finally, the column was applied to 20 ul of elution solution and centrifuged at 14,000 rpm for 2 min, and the flow-through was stored at –80 ℃ for storage. RNA precipitates were quantified and qualified with Bioanalyzer Pico 6000 Chip (Agilent Technologies, Santa Clara, CA). The 10 ng of total RNA was provided to the cDNA library generation using SMARTer smRNA-Seq kit (Illumina Inc., San Diego, CA), according to the user manual. The cDNA library was subjected to sequencing using Truseq SBS Kit and HiSeq 2500 System (Illumina Inc., San Diego, CA), according to user guide.
2020-09-15 | GSE157916 | GEO
Project description:Gene expression profile comparison from fibroblasts of Huntington individuals and normal ones We used microarrays to detail the global gene expression of fibroblasts from Huntington patients
2013-03-28 | GSE45516 | GEO
Project description:Clonally expanded CD8 T cells patrol Alzheimer's cerebrospinal fluid [CSF]
| PRJNA557207 | ENA
Project description:Gene expression profile comparison from fibroblasts of Huntington individuals and normal ones We used microarrays to detail the global gene expression of fibroblasts from Huntington patients Comparison between six Huntington human fibroblasts and three normal controls. All individuals were aged and sex matched. In fact they are all males with the subsequent ages: 28, 48, 57 for the controls and 38, 63, 57, 47, 38, 37 for the HD patients. The average age is comparable.
2013-03-28 | E-GEOD-45516 | biostudies-arrayexpress