Data set on a study of gene expression in peripheral samples to identify biomarkers of severity of allergic and nonallergic asthma

Bibliographic Details
Title: Data set on a study of gene expression in peripheral samples to identify biomarkers of severity of allergic and nonallergic asthma
Authors: Selene Baos, David Calzada, Lucía Cremades, Joaquín Sastre, Joaquín Quiralte, Fernando Florido, Carlos Lahoz, Blanca Cárdaba
Source: Data in Brief, Vol 10, Iss C, Pp 505-510 (2017)
Publisher Information: Elsevier, 2017.
Publication Year: 2017
Collection: LCC:Computer applications to medicine. Medical informatics
LCC:Science (General)
Subject Terms: Asthma, Allergy, Biomarkers, Gene expression, Peripheral samples, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
More Details: This article contains information related to the research article entitled “Biomarkers associated with disease severity in allergic and nonallergic asthma” (S. Baos, D. Calzada, L. Cremades, J. Sastre, J. Quiralte, F. Florido, C. Lahoz, B. Cárdaba, In press). Specifically, the clinical criteria stablished for selecting the study population (n=104 subjects) are described. Moreover, this article describes the criteria for selecting the 94 genes to be analyzed in PBMCs (peripheral blood mononuclear cells), it is provided a description of these genes and a Table with the genes most differentially expressed by clinical phenotypes and, finally it is detailed the experimental methodology followed for studying the protein expression of MSR1 (macrophage scavenger receptor 1), one of the genes evaluated in the research.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2352-3409
Relation: http://www.sciencedirect.com/science/article/pii/S235234091630796X; https://doaj.org/toc/2352-3409
DOI: 10.1016/j.dib.2016.12.035
Access URL: https://doaj.org/article/edc8c503dd4f4cda990b17aad3416301
Accession Number: edsdoj.8c503dd4f4cda990b17aad3416301
Database: Directory of Open Access Journals
More Details
ISSN:23523409
DOI:10.1016/j.dib.2016.12.035
Published in:Data in Brief
Language:English