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Objectives of the project:

1.    Global analysis and computattional modelling of the infarcted heart.
1.1.    Analysis of the multi-cellular response to ischemia/reperfusion in the heart.
    1.1.1. Cell population profiling in the infarcted heart.    
    1.1.2. 3D-analysis of the cellular response in the infarcted heart.
1.2.    Large-scale molecular data gathering in distinct cell populations of the infarcted heart.
    1.2.1. Identification of transcriptomic changes.                                                       
    1.2.2. Analysis of dynamic changes in the heart proteome induced by I/R.
    1.2.3. Metabolome profiling of the infarcted heart.
1.3.    Integrative Biology for computational modeling of the infarcted heart.
    1.3.1. Mathematical modelling of the multi-cellular response to ischemia/reperfusion in the heart.                                                  
    1.3.2. Large-scale data analysis.     
    1.3.3. Computational model of the infarcted heart.

2.    New non-invasive imaging developments for the infarcted heart.
2.1.    Implementation of PET-CT imaging to quantify the post-infarction myocardial damage.
2.2    New cardiac magnetic resonance imaging developments for the post-infarction heart.
    2.2.1. Optimization of cardiac MRI image acquisition and reconstruction.
    2.2.2. Combined molecular imaging and MRI.

3.   New therapeutic strategies for the post-infarcted heart.
3.1.    Validation of Potential biomarkers in human samples.
3.2.    Nano-viral theranostics.
3.3.    Gene therapy-based strategies to improve heart remodelling and repair.
     3.3.1. Targeting cardiomyocytes.
     3.3.2. Targeting macrophages and angiogenesis.
3.4.    MicroRNA modulation in macrophages to improve heart remodelling and repair.





[1] Fernández-Jiménez, Rodrigo, Javier Sánchez-González, Jaume Agüero, Jaime García-Prieto, Gonzalo J. López-Martín, José M. García-Ruiz, Antonio Molina-Iracheta et al. "Myocardial edema after ischemia/reperfusion is not stable and follows a bimodal pattern: imaging and histological tissue characterization." Journal of the American College of Cardiology 65, no. 4 (2015): 315-323.
[2] Fernández-Jiménez, Rodrigo, Jaime García-Prieto, Javier Sánchez-González, Jaume Agüero, Gonzalo J. López-Martín, Carlos Galán-Arriola, Antonio Molina-Iracheta, Roisin Doohan, Valentin Fuster, and Borja Ibáñez. "Pathophysiology underlying the bimodal edema phenomenon after myocardial ischemia/reperfusion." Journal of the American College of Cardiology 66, no. 7 (2015): 816-828.
[3] García-Álvarez, Ana, Inés García-Lunar, Daniel Pereda, Rodrigo Fernández-Jimenez, Javier Sánchez-González, Jesús G. Mirelis, Mario Nuño-Ayala et al. "Association of Myocardial T1-Mapping CMR With Hemodynamics and RV Performance in Pulmonary Hypertension." JACC: Cardiovascular Imaging 8, no. 1 (2015): 76-82.
[4] Bhavesh, R.; Lechuga-Vieco, A.V.; Ruiz-Cabello, J.; Herranz, F. T1-MRI Fluorescent Iron Oxide Nanoparticles by Microwave Assisted Synthesis. Nanomaterials 2015, 5, 1880-1890.
[5] Herranz, Fernando, Beatriz Salinas, Hugo Groult, Juan Pellico, Ana V. Lechuga-Vieco, Riju Bhavesh, and J. Ruiz-Cabello. "Superparamagnetic nanoparticles for atherosclerosis imaging." Nanomaterials 4, no. 2 (2014): 408-438.
[6] Groult, Hugo, Jesús Ruiz-Cabello, Juan Pellico, Ana V. Lechuga-Vieco, Riju Bhavesh, Moreno Zamai, Elena Almarza et al. "Parallel Multifunctionalization of Nanoparticles: A One-Step Modular Approach for in Vivo Imaging." Bioconjugate chemistry 26, no. 1 (2014): 153-160.
[7] Polyxeni Gkontra, Magdalena M. Zak, Kerri-Ann Norton, Andres Santos, Aleksander S. Popel, and Alicia G. Arroyo, “A 3D fractal-based approach towards understanding changes in the infarcted heart microvasculature”, accepted for publication at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015 (peer-reviewed conference)
[8] Walter, Wencke, Fátima Sánchez-Cabo, and Mercedes Ricote. "GOplot: an R package for visually combining expression data with functional analysis." Bioinformatics (2015): btv300.
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