A bioinformatics analysis ofMass Spectrometry approach reveals a new target of A ?42 peptide
Abstract
Publication Date:
2015
abstract:
Proteomic changes have been described in different neurodegenerative disease including Alzheimer's disease (AD). This pathology
is the most common form of dementia, and its prevalence increases exponentially with age. The patients affected gradually lose
cognitive function, control over their sense of orientation, their emotions, and other aspects of behavior. Thirty-five million people
are now considered to be affected by AD and this number is expected to double in the next few decades. AD cell model system in
which LAN5 neuroblastoma cell were incubated for short time with a recombinant form of A?42 (rA?42), a peptide involved in AD,
was utilized for a study of the proteome by mass spectrometry. Furthermore, we used bioinformatics tools to mine databases and
present relatedness in the form of networks, associated processes, pathways, etc. The potential modulation of pathways suggested
by the similarity of GO terms and presence of protein-protein interaction networks among significantly modulated proteins was
explored using the bioinformatic tool KEGG. Pathway enrichment analysis was conducted for up and down regulated protein
groups, and four pathways were identified. The Spliceosome pathway identified in the under-expressed protein group was
reported by KEGG to be the most significantly enriched. To confirm the effect of A?42 on the spliceosomal pathway, the level of
expression of SmB/B'/N (a component of the spliceosomal machinery) was measured. Proteins were extracted from LAN5 cells
treated with rA?42 at differing concentrations and times, and a Western blot was performed. SmB/B'/N levels were found to
decrease in a time and dose dependent manner relative to the control suggesting that impaired splicing can occur. However,
further studies are necessary to fully elucidate the the down-regulation effect of the spliceosome proteins in AD, and how this may
contribute to the early event in this disorder.
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
bioinformatica
List of contributors: