To access the full text documents, please follow this link: http://hdl.handle.net/2445/67845

Distilling a visual network of Retinitis Pigmentosa gene-protein interactions to uncover new disease candidates
Boloc, Daniel; Castillo-Lara, Sergio; Marfany i Nadal, Gemma; Gonzàlez-Duarte, Roser; Abril Ferrando, Josep Francesc, 1970-
Universitat de Barcelona
BACKGROUND: Retinitis pigmentosa (RP) is a highly heterogeneous genetic visual disorder with more than 70 known causative genes, some of them shared with other non-syndromic retinal dystrophies (e.g. Leber congenital amaurosis, LCA). The identification of RP genes has increased steadily during the last decade, and the 30% of the cases that still remain unassigned will soon decrease after the advent of exome/genome sequencing. A considerable amount of genetic and functional data on single RD genes and mutations has been gathered, but a comprehensive view of the RP genes and their interacting partners is still very fragmentary. This is the main gap that needs to be filled in order to understand how mutations relate to progressive blinding disorders and devise effective therapies. METHODOLOGY: We have built an RP-specific network (RPGeNet) by merging data from different sources: high-throughput data from BioGRID and STRING databases, manually curated data for interactions retrieved from iHOP, as well as interactions filtered out by syntactical parsing from up-to-date abstracts and full-text papers related to the RP research field. The paths emerging when known RP genes were used as baits over the whole interactome have been analysed, and the minimal number of connections among the RP genes and their close neighbors were distilled in order to simplify the search space. CONCLUSIONS: In contrast to the analysis of single isolated genes, finding the networks linking disease genes renders powerful etiopathological insights. We here provide an interactive interface, RPGeNet, for the molecular biologist to explore the network centered on the non-syndromic and syndromic RP and LCA causative genes. By integrating tissue-specific expression levels and phenotypic data on top of that network, a more comprehensive biological view will highlight key molecular players of retinal degeneration and unveil new RP disease candidates.
-Malalties de la retina
-Genètica molecular humana
-Retinal diseases
-Human molecular genetics
cc-by (c) Boloc, Daniel et al., 2015
http://creativecommons.org/licenses/by/3.0/es
Article
Article - Published version
Public Library of Science (PLoS)
         

Show full item record

Related documents

Other documents of the same author

Valero Gils, Rebeca; Bayés Colomer, Mònica; Sánchez-Font, Ma. Francisca; Gonzàlez-Angulo, Olga; Gonzàlez-Duarte, Roser; Marfany i Nadal, Gemma
Castro Miró, Marta de; Tonda, Raul; Escudero Ferruz, Paula; Andrés, Rosa; Mayor Lorenzo, Andres; Castro, Joaquín; Ciccioli, Marcela; Hidalgo, Daniel A.; Rodríguez Ezcurra, Juan José; Farrando, Jorge; Pérez Santonja, Juan J.; Cormand Rifà, Bru; Marfany i Nadal, Gemma; Gonzàlez-Duarte, Roser
Castro-Miró, Marta; Pomares, Esther; Lorés-Motta, Laura; Tonda, Raul; Dopazo, Joaquín; Marfany i Nadal, Gemma; Gonzàlez-Duarte, Roser
Tusón Segarra, Miquel; Marfany i Nadal, Gemma; Herrero, Enric; Balcells Comas, Susana; Gonzàlez-Duarte, Roser; Hjelmqvist, Lars
Rodríguez Ferret, Natalia; Morer Liñan, María Astrid; González Navarro, E. Azucena; Serra Pagès, Carles; Boloc, Daniel; Torres, Teresa; García Cerro, Susana; Mas Herrero, Sergi; Gassó Astorga, Patricia; Lázaro García, Luisa
 

Coordination

 

Supporters