Identification of a Molecular Signature for Acute Lyme Disease by Human Transcriptome Profiling
Transcriptomics Dataset
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General Information
AccessionGSE63085
TitleIdentification of a Molecular Signature for Acute Lyme Disease by Human Transcriptome Profiling
DescriptionLyme disease is challenging to diagnose, as clinical manifestations are variable and current tools to detect nucleic acid or antibody responses from Borrelia burgdorferi infection have low sensitivity. Here we conducted the first study of the global transcriptome of patients with Lyme disease to identify potential diagnostic biomarkers. Twenty-nine patients were enrolled and compared to 13 healthy controls at three time points after infection. Fifteen publicly available transcriptome datasets from patients in vivo or infection models in vitro were used to assess specificity of differentially expressed genes (DEGs). We found that Lyme disease results in profound and sustained changes in the patient transcriptomes, with a specific signature that shares 44%% DEGs with other infections.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE63085
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE63085
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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