Data set of interactomes and metabolic pathways of proteins differentially expressed in brains with Alzheimer׳s disease

• Published in: Data in brief Vol. 7; pp. 1707 - 1719
• Main Authors: Minjarez, Benito, Calderón-González, Karla Grisel, Valero Rustarazo, Ma Luz, Herrera-Aguirre, María Esther, Labra-Barrios, María Luisa, Rincon-Limas, Diego E., Sánchez del Pino, Manuel M., Mena, Raul, Luna-Arias, Juan Pedro
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.06.2016; Elsevier
• Subjects: Data
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2016.04.071

Alzheimer׳s disease is one of the main causes of dementia in the elderly and its frequency is on the rise worldwide. It is considered the result of complex interactions between genetic and environmental factors, being many of them unknown. Therefore, there is a dire necessity for the identification of novel molecular players for the understanding of this disease. In this data article we determined the protein expression profiles of whole protein extracts from cortex regions of brains from patients with Alzheimer׳s disease in comparison to a normal brain. We identified 721 iTRAQ-labeled polypeptides with more than 95% in confidence. We analyzed all proteins that changed in their expression level and located them in the KEGG metabolic pathways, as well as in the mitochondrial complexes of the electron transport chain and ATP synthase. In addition, we analyzed the over- and sub-expressed polypeptides through IPA software, specifically Core I and Biomarkers I modules. Data in this article is related to the research article “Identification of proteins that are differentially expressed in brains with Alzheimer’s disease using iTRAQ labeling and tandem mass spectrometry” (Minjarez et al., 2016) [1].