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Whole Transcriptome Sequencing Reveals Gene Expression and Splicing Differences in Brain Regions Affected by Alzheimer's Disease

Overview of attention for article published in PLOS ONE, January 2011
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Title
Whole Transcriptome Sequencing Reveals Gene Expression and Splicing Differences in Brain Regions Affected by Alzheimer's Disease
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0016266
Pubmed ID
Authors

Natalie A. Twine, Karolina Janitz, Marc R. Wilkins, Michal Janitz

Abstract

Recent studies strongly indicate that aberrations in the control of gene expression might contribute to the initiation and progression of Alzheimer's disease (AD). In particular, alternative splicing has been suggested to play a role in spontaneous cases of AD. Previous transcriptome profiling of AD models and patient samples using microarrays delivered conflicting results. This study provides, for the first time, transcriptomic analysis for distinct regions of the AD brain using RNA-Seq next-generation sequencing technology. Illumina RNA-Seq analysis was used to survey transcriptome profiles from total brain, frontal and temporal lobe of healthy and AD post-mortem tissue. We quantified gene expression levels, splicing isoforms and alternative transcript start sites. Gene Ontology term enrichment analysis revealed an overrepresentation of genes associated with a neuron's cytological structure and synapse function in AD brain samples. Analysis of the temporal lobe with the Cufflinks tool revealed that transcriptional isoforms of the apolipoprotein E gene, APOE-001, -002 and -005, are under the control of different promoters in normal and AD brain tissue. We also observed differing expression levels of APOE-001 and -002 splice variants in the AD temporal lobe. Our results indicate that alternative splicing and promoter usage of the APOE gene in AD brain tissue might reflect the progression of neurodegeneration.

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Geographical breakdown

Country Count As %
United States 14 2%
Germany 6 <1%
United Kingdom 6 <1%
South Africa 2 <1%
India 2 <1%
Mexico 2 <1%
Japan 2 <1%
Brazil 1 <1%
Finland 1 <1%
Other 8 1%
Unknown 576 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 180 29%
Researcher 145 23%
Student > Master 69 11%
Student > Bachelor 49 8%
Professor > Associate Professor 36 6%
Other 93 15%
Unknown 48 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 302 49%
Biochemistry, Genetics and Molecular Biology 106 17%
Medicine and Dentistry 42 7%
Neuroscience 42 7%
Computer Science 17 3%
Other 45 7%
Unknown 66 11%