Publication: Functional and in silico assessment of MAX variants of unknown significance.
| dc.contributor.author | Comino-Méndez, Iñaki | |
| dc.contributor.author | Leandro-García, Luis J | |
| dc.contributor.author | Montoya, Guillermo | |
| dc.contributor.author | Inglada-Pérez, Lucía | |
| dc.contributor.author | de Cubas, Aguirre A | |
| dc.contributor.author | Currás-Freixes, María | |
| dc.contributor.author | Tysoe, Carolyn | |
| dc.contributor.author | Izatt, Louise | |
| dc.contributor.author | Letón, Rocío | |
| dc.contributor.author | Gómez-Graña, Álvaro | |
| dc.contributor.author | Mancikova, Veronika | |
| dc.contributor.author | Apellániz-Ruiz, María | |
| dc.contributor.author | Mannelli, Massimo | |
| dc.contributor.author | Schiavi, Francesca | |
| dc.contributor.author | Favier, Judith | |
| dc.contributor.author | Gimenez-Roqueplo, Anne-Paule | |
| dc.contributor.author | Timmers, Henri J L M | |
| dc.contributor.author | Roncador, Giovanna | |
| dc.contributor.author | Garcia, Juan F | |
| dc.contributor.author | Rodríguez-Antona, Cristina | |
| dc.contributor.author | Robledo, Mercedes | |
| dc.contributor.author | Cascon Soriano, Alberto | |
| dc.contributor.funder | Instituto de Salud Carlos III | |
| dc.contributor.funder | Fundacion Mutua Madrileña | |
| dc.date.accessioned | 2025-01-28T17:18:07Z | |
| dc.date.available | 2025-01-28T17:18:07Z | |
| dc.date.issued | 2015-11 | |
| dc.description | This work was supported in part by the Fondo de Investigaciones Sanitarias (projects PI12/00236 and PI11/01359 to A.C. and M.R., respectively), the Fundacion Mutua Madrilena (project AP2775/2008 to M.R.), and a grant from the European Community's Seventh Framework Programme (ENS@T-CANCER; HEALTH-F2-2010-259735). Aguirre A. de Cubas and Veronika Mancikova are pre-doctoral fellows in "la Caixa"/CNIO International PhD Programme. Lucia Inglada-Perez and Inaki Comino-Mendez are predoctoral fellows with the CIBERER and the Fundacion Ferrer, respectively. | |
| dc.description.abstract | The presence of germline mutations affecting the MYC-associated protein X (MAX) gene has recently been identified as one of the now 11 major genetic predisposition factors for the development of hereditary pheochromocytoma and/or paraganglioma. Little is known regarding how missense variants of unknown significance (VUS) in MAX affect its pivotal role in the regulation of the MYC/MAX/MXD axis. In the present study, we propose a consensus computational prediction based on five "state-of-the-art" algorithms. We also describe a PC12-based functional assay to assess the effects that 12 MAX VUS may have on MYC's E-box transcriptional activation. For all but two of these 12 VUS, the functional assay and the consensus computational prediction gave consistent results; we classified seven variants as pathogenic and three as nonpathogenic. The introduction of wild-type MAX cDNA into PC12 cells significantly decreased MYC's ability to bind to canonical E-boxes, while pathogenic MAX proteins were not able to fully repress MYC activity. Further clinical and molecular evaluation of variant carriers corroborated the results obtained with our functional assessment. In the absence of clear heritability, clinical information, and molecular data, consensus computational predictions and functional models are able to correctly classify VUS affecting MAX. | |
| dc.description.abstract | A functional assay assesses the effects of MAX VUS over MYC transcriptional activity. A consensus computational prediction and the functional assay show high concordance. Variant carriers' clinical and molecular data support the functional assessment. | |
| dc.description.peerreviewed | No | |
| dc.format.number | 11 | |
| dc.format.page | 1247-1255 | |
| dc.format.volume | 93 | |
| dc.identifier.citation | J Mol Med (Berl) . 2015 Nov;93(11):1247-55 | |
| dc.identifier.journal | Journal of Molecular Medicine | |
| dc.identifier.pubmedID | 26070438 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12105/26181 | |
| dc.language.iso | eng | |
| dc.publisher | Springuer | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//PI11%2F01359/ES/Uso de plataformas de análisis masivo en el estudio de tumores endocrinos: de la OMICA al paciente: de la OMICA al paciente/ | |
| dc.relation.publisherversion | https:// doi: 10.1007/s00109-015-1306-y. | |
| dc.repisalud.institucion | CNIO | |
| dc.repisalud.orgCNIO | CNIO::Unidades técnicas::Unidad de Citogenética Molecular | |
| dc.rights.accessRights | open access | |
| dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | MAX | |
| dc.subject | PC12 cells | |
| dc.subject | Paraganglioma | |
| dc.subject | Pheochromocytoma | |
| dc.subject | Variants of unknown significance | |
| dc.title | Functional and in silico assessment of MAX variants of unknown significance. | |
| dc.type | research article | |
| dc.type.hasVersion | AM | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 610499dd-7ca3-4e9a-8b44-e5489f9212ab | |
| relation.isAuthorOfPublication.latestForDiscovery | 610499dd-7ca3-4e9a-8b44-e5489f9212ab |


