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Clinical and Translational Bioinformatics

Our main research aims at understanding the molecular basis of hereditary disease, integrating two complementary aspects: the molecular impact of genetic variants and the regulatory role of genetic background. At a technical level, to reach our objective, we integrate the results of the most advanced genomic experiments (single-cell RNAsq, NGS sequencing, etc.) using state-of-the-art machine learning tools.

As a result of our efforts, we have recently made significant advances in understanding the functional effect of BRCA1/2 protein variants underlying hereditary breast and ovarian cancers. In fact, the methodology developed earned us the second position in the group classification at the international competition CAGI 5, held in 2019.

Team

Fco. Xavier De la Cruz Montserrat

Fco. Xavier De la Cruz Montserrat

Head of group
Clinical and Translational Bioinformatics
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Aitana Diaz Vazquez

Aitana Diaz Vazquez

Research technician
Clinical and Translational Bioinformatics
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Guerrero Flores, Javier

Guerrero Flores, Javier

Predoctoral researcher
Clinical and Translational Bioinformatics
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Natalia Padilla Sirera

Natalia Padilla Sirera

Postdoctoral researcher
Clinical and Translational Bioinformatics
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Shaopei Ye

Shaopei Ye

Predoctoral researcher
Clinical and Translational Bioinformatics
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Selen Ozkan

Selen Ozkan

Predoctoral researcher
Clinical and Translational Bioinformatics
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Fco. Xavier De la Cruz Montserrat

Fco. Xavier De la Cruz Montserrat

Head of group
Clinical and Translational Bioinformatics
Read more
Aitana Diaz Vazquez

Aitana Diaz Vazquez

Research technician
Clinical and Translational Bioinformatics
Read more
Guerrero Flores, Javier

Guerrero Flores, Javier

Predoctoral researcher
Clinical and Translational Bioinformatics
Read more
Natalia Padilla Sirera

Natalia Padilla Sirera

Postdoctoral researcher
Clinical and Translational Bioinformatics
Read more
Shaopei Ye

Shaopei Ye

Predoctoral researcher
Clinical and Translational Bioinformatics
Read more
Selen Ozkan

Selen Ozkan

Predoctoral researcher
Clinical and Translational Bioinformatics
Read more

Research lines

Biomarker development

IP: -

Prediction of pathological mutations

Since a few years ago, we have been working in the development of computational tools for the prediction of pathological mutations in proteins (PMID: 11812146, 15390262, 15879453, 16208716, 17059831). In this work we have followed a two-step approach. First, we have characterized pathological mutations in terms of sequence, structure and evolutionary properties (PMID: 11812146). Second, we have used the results of this descriptive work to identify those parameters with the best predictive power. Also we have used these results to train a neural network and obtain an empirical model that allows the identification of disease-causing mutations with moderately high accuracies (around 70%; PMID: 15390262, 15879453, 16208716).

At present, we are applying this approach to the case of specific diseases. We believe that this is a natural step towards the advancement of personalized medicine. Within this context, we are characterizing the impact on the structure and function of alpha-galactosidase of Fabry disease-causing mutations. Again our approach is the same as in the general case, but here we are benefitting from the close collaboration with the group of Dr. Joan Montaner. 

IP: Fco. Xavier De la Cruz Montserrat

Projects

Avanzando hacia el diagnóstico de precisión a través de la comprensión mecanística de las patologias: de la interpretación de variantes a la identificación del perfil celular.

IP: Fco. Xavier De la Cruz Montserrat
Collaborators: Miriam Izquierdo Sans, Javier Guerrero Flores
Funding agency: Ministerio de Ciencia e Innovación-MICINN
Funding: 111758
Reference: PREP2022-000566
Duration: 01/02/2024 - 31/01/2028

Ministerio de Ciencia

Advancing towards precision diagnostics using a mechanistic understanding of disease processes: from variant interpretation to single-cell profiling

IP: Fco. Xavier De la Cruz Montserrat
Collaborators: Natalia Padilla Sirera, Selen Ozkan
Funding agency: Ministerio de Ciencia e Innovación-MICINN
Funding: 262500
Reference: PID2022-142753OB-I00
Duration: 01/09/2023 - 31/08/2026

Ministerio de Ciencia

Therapeutical approaches against chemoresistant cancers

IP: Matilde Lleonart Pajarin
Collaborators: Yoelsis Garcia Mayea, Fco. Xavier De la Cruz Montserrat, Juan Lorente Guerrero, Natalia Padilla Sirera, Marina Bataller Fernández, Almudena Sanchez Garcia, Selen Ozkan
Funding agency: Agència Gestió Ajuts Universitaris i de Recerca
Funding: 0.01
Reference: 2021 SGR 01205
Duration: 01/01/2022 - 30/06/2025

Hacia una mejor aplicabilidad de la Inteligencia Artificial en Medicina Genómica: Integrando capacidad predictiva e interpretabilidad en una nueva generación de herramientas para la anotación de variantes de proteínas

IP: Fco. Xavier De la Cruz Montserrat
Collaborators: Natalia Padilla Sirera, Selen Ozkan
Funding agency: Ministerio de Ciencia e Innovación-MICINN
Funding: 219650
Reference: TED2021-130342B-I00
Duration: 01/12/2022 - 30/11/2024

Ministerio de Ciencia

Publications

A new set of in silico tools to support the interpretation of ATM missense variants using graphical analysis.

PMID: 37865290
Journal: JOURNAL OF MOLECULAR DIAGNOSTICS
Year: 2023
Reference: J Mol Diagn. 2023 Oct 19:S1525-1578(23)00243-X. doi: 10.1016/j.jmoldx.2023.09.009.
Impact factor:
Publication type: Paper in international publication
Authors: Blanco, Ana; Brandsma, D; Cruz, Xavier de la; Curigliano, G; Diez, Orland; Feliubadalo, Lidia; Furtner, J; Gutierrez-Enriquez, Sara; Hoya, Miguel de la; Lazaro, Conxi et al.
DOI: 10.1016/j.jmoldx.2023.09.009

Amivantamab plus Chemotherapy in NSCLC with EGFR Exon 20 Insertions.

PMID: 37870976
Journal: NEW ENGLAND JOURNAL OF MEDICINE
Year: 2023
Reference: N Engl J Med. 2023 Oct 21. doi: 10.1056/NEJMoa2306441.
Impact factor:
Publication type: Paper in international publication
Authors: Agrawal, Trishala; Bhattacharya, Archan; Blanco, Ana; Boyer, Michael; Cheng, Susanna; Cho, Byoung Chul; Cruz, Xavier de la; Diez, Orland; Felip, Enriqueta; Feliubadalo, Lidia et al.
DOI: 10.1056/NEJMoa2306441

PirePred: An Accurate Online Consensus Tool to Interpret Newborn Screening Related Genetic Variants in Structural Context.

PMID: 35143952
Journal: JOURNAL OF MOLECULAR DIAGNOSTICS
Year: 2022
Reference: J Mol Diagn. 2022 Apr;24(4):406-425. doi: 10.1016/j.jmoldx.2022.01.005. Epub 2022 Feb 7.
Impact factor: 5.568
Publication type: Paper in international publication
Authors: Galano-Frutos, Juan Jose; Garcia-Cebollada, Helena; Lopez, Alfonso; Rosell, Mireia; Cruz, Xavier de la; Fernandez-Recio, Juan; Sancho, Javier et al.
DOI: 10.1016/j.jmoldx.2022.01.005

Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants.

PMID: 31294896
Journal: HUMAN MUTATION
Year: 2019
Reference: Hum Mutat. 2019 Sep;40(9):1546-1556. doi: 10.1002/humu.23861. Epub 2019 Aug 23.
Impact factor: 4.453
Publication type: Paper in international publication
Authors: Shen, Yang, Sun, Yuanfei, Topper, Scott, Parsons, Michael T, Spurdle, Amanda B, Goldgar, David E, Savojardo, Castrense, Riera, Casandra, Radivojac, Predrag, Pejaver, Vikas et al.
DOI: 10.1002/humu.23861

Compensated pathogenic variants in coagulation factors VIII and IX present complex mapping between molecular impact and hemophilia severity.

PMID: 31267011
Journal: Scientific Reports
Year: 2019
Reference: Sci Rep. 2019 Jul 2;9(1):9538. doi: 10.1038/s41598-019-45916-3.
Impact factor: 4.011
Publication type: Paper in international publication
Authors: Marin, Oscar, Aguirre, Josu, de la Cruz, Xavier et al.
DOI: 10.1038/s41598-019-45916-3

BRCA1- and BRCA2-specific in silico tools for variant interpretation in the CAGI 5 ENIGMA challenge.

PMID: 31112341
Journal: HUMAN MUTATION
Year: 2019
Reference: Hum Mutat. 2019 Sep;40(9):1593-1611. doi: 10.1002/humu.23802. Epub 2019 Jul 3.
Impact factor: 4.453
Publication type: Paper in international publication
Authors: Bonache, Sandra, Padilla, Natalia, Moles-Fernandez, Alejandro, Riera, Casandra, Montalban, Gemma, Ozkan, Selen, Ootes, Lars, de la Cruz, Xavier, Gutierrez-Enriquez, Sara, Diez, Orland et al.
DOI: 10.1002/humu.23802

Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces.

PMID: 30934865
Journal: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Year: 2019
Reference: Int J Mol Sci. 2019 Mar 29;20(7). pii: ijms20071583. doi: 10.3390/ijms20071583.
Impact factor: 4.183
Publication type: Paper in international publication
Authors: Navio, Damaris, Rosell, Mireia, Aguirre, Josu, de la Cruz, Xavier, Fernandez-Recio, Juan et al.
DOI: 10.3390/ijms20071583

Thesis

Desarrollo de herramientas para el análisis y predicción patogénica de las variantes missense de ATM en el entorno clínico.

PhD student: Luz Marina Porras Monroy
Director/s: Fco. Xavier De la Cruz Montserrat
University: Universitat de Barcelona
Year: 2023

Binary pathogenicity classification missense variants through development of quantitative protein-specific predictors

PhD student: Selen Ozkan
Director/s: Fco. Xavier De la Cruz Montserrat
University: Universitat de Barcelona
Year: 2023

Novel approaches for in silico identification of pathogenic variants in BRCA1 and BRCA2 hereditary breast and ovarian cancer predisposition genes

PhD student: Natalia Padilla Sirera, Natalia Padilla Sirera
Director/s: Fco. Xavier De la Cruz Montserrat
University: Universidad Autònoma de Barcelona
Year: 2020

A MACHINE LEARNING MODEL FOR IMPROVING THE ANNOTATION OF PROTEIN SEQUENCE VARIANTS IN SEQUENCING PROJECTS

PhD student: Elena Álvarez de la C Crespo
Director/s: Fco. Xavier De la Cruz Montserrat
University: Universitat de Barcelona
Year: 2019

ESTUDIO DE LAS PROPIEDADES CONFORMACIONALES DE LAS PROTEÍNAS MEDIANTE EL USO DE MODELOS DE BAJA RESOLUCIÓN BASADOS EN LA DISCRETIZACIÓN DE LAS COORDENADAS INTERNAS

PhD student: Francisco Martín Bandera
Director/s: Fco. Xavier De la Cruz Montserrat
University: Universitat de Barcelona
Year: 2018

Caracterització bioinformàtica de la relació entre l'impacte molecular de les variants patogèniques i el fenotip clínic

PhD student: Oscar Marín Sala
Director/s: Fco. Xavier De la Cruz Montserrat
University: Universidad Autònoma de Barcelona
Year: 2017

Novel approaches in the identification of pathogenic variants in the clinical diagnosis

PhD student: Maria Casandra Riera Ribas
Director/s: Fco. Xavier De la Cruz Montserrat
University: Universidad Autònoma de Barcelona
Year: 2016

Blog

News

The Clinical and Translational Bioinformatics Group at VHIR has been responsible for the computational analysis of two international genetic studies led by the Children's Hospital of Philadelphia.

The Clinical and Translational Bioinformatics group is launching the project to use cutting-edge artificial intelligence in the identification of pathogenic variants.