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See detailThe Importance of Computational Modeling in Stem Cell Research
Del Sol Mesa, Antonio UL

in Trends in Biotechnology (2020)

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See detailHuR/ELAVL1 drives malignant peripheral nerve sheath tumour growth and metastasis
del Sol Mesa, Antonio UL

in Journal of Clinical Investigation (2020)

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See detailSynapse alterations precede neuronal damage and storage pathology in a human cerebral organoid model of CLN3-juvenile neuronal ceroid lipofuscinosis
Gomez Giro, Gemma UL; Arias-Fuenzalida, Jonathan; Jarazo, Javier UL et al

in Acta Neuropathologica Communications (2020)

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See detailAssessment of network module identification across complex diseases
del Sol Mesa, Antonio UL

in Nature Methods (2019)

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See detailModeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks
del Sol Mesa, Antonio UL

in Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks (2019)

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See detailAn integrative method to predict signallingperturbations for cellular transitions
Zaffaroni, Gaia UL; Okawa, Satoshi UL; Morales-Ruiz, Manuel et al

in Nucleic Acids Research (2019)

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See detailModeling of Cellular Systems: Application in Stem Cell Research and Computational Disease Modeling
Ali, Muhammad UL; del Sol Mesa, Antonio UL

Book published by Springer International Publishing (2018)

The large-scale development of high-throughput sequencing technologies has allowed the generation of reliable omics data at different regulatory levels. Integrative computational models enable the ... [more ▼]

The large-scale development of high-throughput sequencing technologies has allowed the generation of reliable omics data at different regulatory levels. Integrative computational models enable the disentangling of a complex interplay between these interconnected levels of regulation by interpreting these large quantities of biomedical information in a systematic way. In the context of human diseases, network modeling of complex gene-gene interactions has been successfully used for understanding disease-related dysregulations and for predicting novel drug targets to revert the diseased phenotype. Furthermore, these computational network models have emerged as a promising tool to dissect the mechanisms of developmental processes such as cellular differentiation, transdifferentiation, and reprogramming. In this chapter, we provide an overview of recent advances in the field of computational modeling of cellular systems and known limitations. A particular attention is paid to highlight the impact of computational modeling on our understanding of stem cell biology and the complex multifactorial nature of human diseases and their treatment. [less ▲]

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