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:RNA was isolated from fresh cerebrospinal fluid samples of multiple sclerosis and control patients and analyzed by hybridization of HG U133 plus 2.0 arrays in order to investigate disease mechanisms of multiple sclerosis and to identify transcriptional biomarker
Project description:Using single cell RNA sequencing (scRNA-seq) on cerebrospinal fluid (CSF) and blood from adults with HIV, we identified a rare (<5% of cells) subset of myeloid cells that are found only in CSF and that present a gene expression signature that overlaps significantly with neurodegenerative disease associated microglia
Project description:Lipids comprise 70% of the myelin sheath, and autoantibodies against lipids may contribute to the demyelination that characterizes multiple sclerosis (MS). We used lipid antigen microarrays and lipid mass spectrometry to identify bona fide lipid targets of the autoimmune response in MS brain and an animal model of MS to explore the role of the identified lipids in autoimmune demyelination. We found that autoantibodies in MS target a phosphate group in phosphatidylserine and oxidized phosphatidylcholine derivatives. Administration of these lipids ameliorated experimental autoimmune encephalomyelitis by suppressing activation and inducing apoptosis of autoreactive T cells, effects mediated by the lipids' saturated fatty-acid side chains. Thus, phospholipids represent a natural anti-inflammatory class of compounds that have potential as novel therapeutics for MS. Fig. 1A. Lipid-array profiling of IgG+IgM antibody reactivity in cerebrospinal fluid (CSF) samples from MS patients (relapsing remitting MS; secondary progressive MS; primary progressive MS), healthy controls, and other neurological disease controls. Lipid hits with the lowest FDR (q=0.048) were clustered according to their reactivity profiles. 48 different lipids were custom-spotted in duplicate using the CAMAG Automatic TLC Sampler (ATS4) robot to spray 200 nl of 10 to 100 pmol of lipids onto PVDF membranes affixed to the surface of microscope slides. The slides were probed with cerebrospinal fluid (CSF) from 59 human patient samples. 60 slides total: 18 relapsing-remitting MS, 14 secondary-progressive MS, 1 primary-progressive MS, 21 other neurological disease, 5 healthy control, 1 secondary Ab alone (not included in this submission). CSF diluted 1/10. HRP-conjugated secondary Ab (goat anti-human IgM/IgG) diluted 1/8000. ECL for 3 minutes.
Project description:The development of non-invasive diagnostic methods is crucial in early disease detection and thus better treatment options. Small RNAs have been identified as good candidates for such diagnostic markers due to their small size, which allows ease of transport from live cells. Correlating small RNAs in bodily fluid with those in tissue cells of interest may even shed light on disease mechanisms and the development of therapeutic targets. tRNA-derived RNA fragments (tRFs), a family of recently discovered small non-coding RNAs (sncRNAs), have been found to be significantly changed in various disease states, including Alzheimer's disease (AD), the most common type of dementia. Previously, tRFs have been found to be significantly enhanced in human AD hippocampus tissues. However, whether tRFs change in body fluids is unknown. In this study, we planned to identify baselines for potential usage of tRFs as biomarkers in cerebrospinal fluid and blood serum for future development of AD biomarkers. Towards this goal, we used T4 polynucleotide kinase-RNA-seq, a modified next-generation sequencing technique, to identify detectable tRFs in human cerebrospinal fluid (CSF) and serum samples. Interestingly, we found an abundance of tRFs in both CSF and serum samples in comparison to microRNAs, well-known small RNAs (about 3-10 times higher in read counts). This clearly indicates the significant potential of tRFs as non-invasive biomarkers in CSF and serum.
