| Title |
Graph Based Study of Allergen Cross-Reactivity of Plant Lipid Transfer Proteins (LTPs) Using Microarray in a Multicenter Study
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0050799 |
| Pubmed ID | |
| Authors |
Arantxa Palacín, Cristina Gómez-Casado, Luis A. Rivas, Jacobo Aguirre, Leticia Tordesillas, Joan Bartra, Carlos Blanco, Teresa Carrillo, Javier Cuesta-Herranz, Consolación de Frutos, Genoveva García Álvarez-Eire, Francisco J. Fernández, Pedro Gamboa, Rosa Muñoz, Rosa Sánchez-Monge, Sofía Sirvent, María J. Torres, Susana Varela-Losada, Rosalía Rodríguez, Victor Parro, Miguel Blanca, Gabriel Salcedo, Araceli Díaz-Perales |
| Abstract |
The study of cross-reactivity in allergy is key to both understanding. the allergic response of many patients and providing them with a rational treatment In the present study, protein microarrays and a co-sensitization graph approach were used in conjunction with an allergen microarray immunoassay. This enabled us to include a wide number of proteins and a large number of patients, and to study sensitization profiles among members of the LTP family. Fourteen LTPs from the most frequent plant food-induced allergies in the geographical area studied were printed into a microarray specifically designed for this research. 212 patients with fruit allergy and 117 food-tolerant pollen allergic subjects were recruited from seven regions of Spain with different pollen profiles, and their sera were tested with allergen microarray. This approach has proven itself to be a good tool to study cross-reactivity between members of LTP family, and could become a useful strategy to analyze other families of allergens. |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 1% |
| Mexico | 1 | 1% |
| France | 1 | 1% |
| Unknown | 70 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 29% |
| Student > Ph. D. Student | 9 | 12% |
| Other | 5 | 7% |
| Student > Bachelor | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 21 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 26% |
| Agricultural and Biological Sciences | 13 | 18% |
| Immunology and Microbiology | 11 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Computer Science | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 20 | 27% |