Project description:We used a metagenomic microarray to detect Human Pegivirus in serum and cerebrospinal fluid from a patient suffering from severe encephalitis.
2015-03-19 | GSE67021 | GEO
Project description:Raw sequence reads of metagenomic next-generation sequencing from cerebrospinal fluid tissues
| PRJNA756408 | ENA
Project description:Metagenomic Next Generation Sequencing Based Viral Detection in Cerebrospinal Fluid of Pediatric Patients with Encephalitis
| PRJNA643247 | ENA
Project description:Metagenomic Deep Sequencing of Cerebrospinal Fluid
Project description:We aimed to clarify what specific changes occur in the expression level of extracellular vesicles (EVs) -derived microRNAs (miRNAs) in intracranial cerebrospinal fluid (CSF) in moyamoya disease. Patients with arteriosclerotic cerebral ischemia were used as controls to eliminate the effects of cerebral ischemia. Comprehensive expression analysis of miRNAs extracted from EVs by the next-generation sequencer was performed.
Project description:<p>We profiled the miRNA contents from cerebrospinal fluid and serum (using next generation sequencing) from postmortem patients diagnosed with Alzheimer's or Parkinson's disease, and neurologically normal controls. All biofluids were cell-free and patient matched, there was one cerebrospinal fluid and one serum sample from each of 70 patients with Alzheimer's disease, 67 patients with Parkinson's disease and 78 age-similar controls. We correlated the miRNA changes with measurements of neuropathology such as plaques, tangles and Lewy bodies.</p>
| phs000727 | dbGaP
Project description:Next-Generation Sequencing of Cerebrospinal fluid from COVID-19 Patients with Neurological Manifestations
Project description:This SuperSeries is composed of the following subset Series: GSE37664: Human cerebrospinal fluid autoantibody lipid microarray profiling (Fig. 1A) GSE37670: Human cerebrospinal fluid autoantibody lipid microarray profiling (Fig. 2A) GSE37826: Human cerebrospinal fluid autoantibody lipid microarray profiling (Fig. 2C) Refer to individual Series
Project description:We performed shallow whole genome sequencing (WGS) on circulating free (cf)DNA extracted from plasma or cerebrospinal fluid (CSF), and shallow WGS on the tissue DNA extracted from the biopsy in order to evaluate the correlation between the two biomaterials. After library construction and sequencing (Hiseq3000 or Ion Proton), copy number variations were called with WisecondorX.
Project description:The plasma levels of tissue-specific microRNAs can be used as prognostic and diagnostic biomarkers for chronic and acute diseases. Thereby, the combination of diverse miRNAs into biomarker signatures using multivariate statistics seems especially powerful in view to tissue and condition specific miRNA shedding into the plasma. Although Next-Generation Sequencing (NGS) technology enables to analyse circulating microRNAs on a genome-scale level, it suffers from potential biases (e.g. adapter ligation bias) and lacks absolute transcript quantitation. In order to develop a robust NGS discovery assay for genome-scale quantitation of circulating microRNAs we first evaluated the sensitivity, repeatability and ligation bias of four commercially available small RNA library preparation protocols. The protocol from RealSeq Biosciences was selected based on its performance and usability, and coupled with a novel panel of exogenous small RNA spike-in controls to enable absolute quantitation and ensure comparability of data across independent NGS experiments. The established MicroRNA Next-Generation-Sequencing Discovery Assay (miND) was validated for its relative accuracy, precision, analytical measurement range and sequencing bias and was considered fit-for-purpose for microRNA biomarker discovery. Summarized, all these criteria were met and thus our analytical platform is considered fit-for-purpose for microRNA biomarker discovery from plasma, serum, cerebrospinal fluid (CSF), synovial fluid (SF), or extracellular vesicles (EV) extracted from cell culture medium in the setting of any diagnostic, prognostic or patient stratification need.