Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Gene profiling of patients with chronic fatigue syndrome/myalgic encephalomyelitis.

Current rheumatology reports - 1 Dec 2008

Kerr Jonathan R

Abstract excerpt

Chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) is a multisystem disease, the pathogenesis of which remains undetermined. Following two microarray studies, we reported the differential expression of 88 human genes in patients with CFS; 85 of these genes were upregulated and 3 were downregulated. The top functional categories of these 88 genes were hematologic disease and function, immunologic disease...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Fatigue Syndrome, Chronic
Share to Gene Expression Profiling
Share to Gene Expression Regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Oligonucleotide Array Sequence Analysis

Source

Identifiers

PMID: 19007540
DOI: 10.1007/s11926-008-0079-5

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Gene profiling of patients with chronic fatigue syndrome/myalgic encephalomyelitis.PMID 19007540Read ↗

Gene Expression Subtypes in Patients with Chronic Fatigue Syndrome/Myalgic EncephalomyelitisSemantic proximity Read ↗

Seven genomic subtypes of chronic fatigue syndrome/myalgic encephalomyelitis: a detailed analysis of gene networks and clinical phenotypes.Semantic proximity Read ↗

Microbial infections in eight genomic subtypes of chronic fatigue syndrome/myalgic encephalomyelitis.Semantic proximity Read ↗

Changes in the transcriptome of circulating immune cells of a New Zealand cohort with myalgic encephalomyelitis/chronic fatigue syndromeSemantic proximity Read ↗

Current research priorities in chronic fatigue syndrome/myalgic encephalomyelitis: disease mechanisms, a diagnostic test and specific treatments.Semantic proximity Read ↗

Gene Expression Profile Exploration of a Large Dataset on Chronic Fatigue SyndromeSemantic proximity Read ↗

A gene signature for post-infectious chronic fatigue syndromeSemantic proximity Read ↗

Use of single-nucleotide polymorphisms (SNPs) to distinguish gene expression subtypes of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME).Semantic proximity Read ↗

Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis.Semantic proximity Read ↗

Utility of the Blood for Gene Expression Profiling and Biomarker Discovery in Chronic Fatigue SyndromeSemantic proximity Read ↗

Identification of Marker Genes for Differential Diagnosis of Chronic Fatigue SyndromeSemantic proximity Read ↗

Autoimmune Gene Expression Profiling of Fingerstick Whole Blood in Chronic Fatigue SyndromeSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.