Detalle de: Sy(stem)s Developmental Biology
| Title | Sy(stem)s Developmental Biology |
| Description |
Sy(Stem)s Developmental Biology With a multidisciplinary mindset, our lab leverages in vitro experimental studies with stem cells, bioengineering techniques, and novel mathematical modeling approaches to study how cells interact and interpret dynamic signaling in time and space to create precise patterns during human embryonic development. Our lab is located at the Andalusian Center for Developmental Biology (CABD) within the Universidad Pablo de Olavide (Seville, Spain). Kindness, curiosity, and teamwork are core values in our lab. Research Understanding how cells interact and interpret dynamic signaling to create precise spatial patterns during embryonic development is one of the central questions in developmental biology, fertility research, and regenerative medicine. While answering this directly in humans presents technical and ethical challenges, new tools in stem cell research and bioengineering have opened a window into quantitatively answering these questions in vitro. By integrating these methods with mathematical modeling, such as a novel mathematical and statistical framework we developed inspired by the Waddington landscape formalism (Camacho-Aguilar E, Warmflash A, Rand DA, PLoS Computational Biology 2021, Saez M, Blassberg R, Camacho-Aguilar E et al, Cell Systems 2022), our lab aims to gain deeper insights into human development. We are dedicated to merging stem cell research and mathematics to enhance our understanding of development. Some topics we are interested in are: dynamic signalling interpretation, cell-cell interactions, patterning, mathematical modelling of cell fate transitions. |
| Home Page | https://systemsdevbiolab.com/ |
| Contact Email | ecamagu@us.es |
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| Institution | CABD |
| Ontology | Omics, Computational Methods, Resources, Transcriptomics, RNA Sequencing (RNA-seq), Data Analysis, Bioinformatics Software and Tools, Annotation tools, Analysis packages (R, Python, etc.), Data Visualization, Applications of Computational Biology, Bioinformatics enabling techniques, Expression Profiling, Computational models and simulations, Biosystems Modeling, Gene regulatory networks, Computational Techniques, High-performance Computing, Parallel Computing, Systems Biology, Bioinformatics education, Pathway analysis, Image analysis, Single-cell (scRNA-seq), Development, Dynamical systems |
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| Research Lines | Dynamic signalling interpretation in human development, Mathematical modelling of cell fate transitions |
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| Researchers | Elena Camacho Aguilar |