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Series GSE221624 Query DataSets for GSE221624
Status Public on Dec 21, 2023
Title Unstable EBV latency drives inflammation in multiple sclerosis patient derived spontaneous B cells [EBV WGS]
Organism human gammaherpesvirus 4
Experiment type Other
Summary Epstein-Barr virus (EBV) is an etiologic risk factor, and likely prerequisite, for the development of multiple sclerosis (MS). However, the role of EBV infected B cells in the immunopathology of MS is not well understood. Here, we characterized spontaneous lymphoblastoid cell lines (SLCLs) isolated from MS patients and healthy controls (HC) ex vivo to study EBV and host gene expression in the context of an individual’s endogenous EBV. SLCLs derived from MS patient B cells during active disease had higher EBV lytic gene expression than SLCLs from MS patients with stable disease or HCs. Host gene expression analysis revealed activation of pathways associated with hypercytokinemia and interferon signaling in MS SLCLs and differential expression of several genes, including upregulation of forkhead box protein 1 (FOXP1), which contributes to EBV lytic gene expression. In addition, we demonstrate that antiviral approaches targeting EBV replication decreased inflammatory cytokine production and diminished autologous CD4+ T cell responses. These data suggest that dysregulation of intrinsic B-cell control of EBV gene expression drives a pro-inflammatory, pathogenic B cell phenotype that can be attenuated by suppressing EBV lytic gene expression.
 
Overall design Genomic DNA was extracted from spontaneous lymphoblastoid cell lines derived from MS patients (n=7) and healthy controls (n=2). DNA was extracted from SLCLs using the DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany). The Illumina DNA preparation kit was used for sequencing library preparation according to the manufacturer’s instructions. Sequencing was done with an Illumina NextSeq 500 system in high-output mode to generate a total of ∼4 × 108 paired-end 75-bp reads. Fastq reads were aligned against the EBV genome (accession NC_007605.1) using the BWA algorithm. Analysis of heterogeneous sites was performed following the procedure described by Čejková et al.. The consensus EBV genome for each sample was extracted using samtools59. Circus plots were generated using the R BioCircos package. Proteins were translated from nucleotide sequences using Geneious prime 2022.2 (https://www.geneious.com). Nucleotide and protein sequences were aligned using MAFFT v7.407 and visualized using Geneious prime 2022.2. Reference EBNA1 regions, in addition to the sequence from NC_007605.1, were obtained by querying each SLCL-derived sequence against nr using tblastn and taking differentially occurring sequences between matches for the three groups of samples (HC, AMS, SMS). One representative for each of three groups of identical sequences was kept. A phylogenetic tree of the 13 resulting sequences (9 samples, 4 reference) was constructed using PhyML with default parameters and visualized using iTOL.
 
Contributor(s) Soldan S, Lieberman PM, Auslander N, Jacobson S
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Submission date Dec 22, 2022
Last update date Mar 22, 2024
Contact name Priyankara J Wickramasinghe
E-mail(s) priyaw@wistar.org
Phone 2154956837
Organization name The Wistar Institute
Department Bioinformatics
Lab Genomics
Street address 3601 Spruce Street
City Philadelphia
State/province PA
ZIP/Postal code 19104
Country USA
 
Platforms (1)
GPL34327 Illumina NextSeq 500 (human gammaherpesvirus 4)
Samples (9)
GSM6891922 HC1.WGS
GSM6891923 HC2.WGS
GSM6891924 SMS1.WGS
This SubSeries is part of SuperSeries:
GSE221625 Unstable EBV latency drives inflammation in multiple sclerosis patient derived spontaneous B cells
Relations
BioProject PRJNA915206

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE221624_MS_WGS_consensus.txt.gz 377.1 Kb (ftp)(http) TXT
GSE221624_RAW.tar 5.4 Mb (http)(custom) TAR (of BW)
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Raw data are available in SRA
Processed data are available on Series record

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