NTB-W04: Workshop "Spatial transcriptomics and cell-cell communication modeling: new opportunities to study the cellular dynamics of biological systems" Virtual Event Sitges, Barcelona, Spain, September 13, 2022 |
Conference website | https://eccb2022.org/ntb-w04/ |
Submission link | https://easychair.org/conferences/?conf=ntbw04eccb2022 |
Submission deadline | August 7, 2022 |
Workshop "Spatial transcriptomics and cell-cell communication modeling: new opportunities to study the cellular dynamics of biological systems" at New Trends in Bioinformatics by ECCB (ECCB 2022)
Official website: https://eccb2022.org/ntb-w04/
In this workshop we will focus on the new opportunities to study the cellular dynamics of biological systems, aided by the advent of spatial transcriptomics and cell-cell communication modelling.
Spatial transcriptomics adds a new layer of knowledge providing, for the first time, transcriptomic measurements in 2D/3D to estimate the location of cells and characterise tissue structure. This offers new venues to model cell-cell communication and understand tissue functioning.
Together, these next-generation microscopes yield unprecedented opportunities to go beyond a mere description of cell types and states, allowing us to study the dynamics of the cells in a tissue and understand how tissues are spatially and temporally organized as a system of multiple interacting cells.
Submission Guidelines
One page abstract (11 pt) - PDF format
Accepted abstract will be presented during the workshop in the form of short talks.
List of Topics
- Spatial information: technologies and data integration (e.g. co-registration of spatially-resolved transcriptomics and imaging, deconvolution of cell mixtures for multi-cell pixel-resolution data)
- Spatially enabled bioinformatics analyses: tools and resources to unveil cellular dynamics in biological systems (e.g. BioConductor environment, platforms to store, share and annotate spatial data, signaling databases, spatially resolved cell-to-cell communication, combining transcriptomic profiling and morphology to infer cell types, alignment of spatial features over multiple samples)
- Cellular communication bioinformatics: from cell-cell communication models to spatially-enhanced analyses (e.g. intercellular and intracellular signaling databases, paracrine/endocrine/physics-based models for cell-cell communication modeling, temporal and/or spatial aspects of cell-cell communication, multi-omics data integration approaches for cell-cell communication models, visualization of cellular communication analysis results)
- Assessment and benchmarking of computational method to infer cell-cell communication (e.g. developing of benchmarking framework, ensemble approaches, novel biological assays and experimental validation of cell-cell communication models)
- Biological, medical, and environmental applications and case studies
Committees
Organizing committee
- Giacomo Baruzzo, Department of Information Engineering, University of Padova, Padova (Italy)
- Enrica Calura, Department of Biology, University of Padova, Padova (Italy)
- Davide Risso, Department of Statistical Sciences, University of Padova, Padova (Italy)
- Chiara Romualdi, Department of Biology, University of Padova, Padova (Italy)
- Gabriele Sales, Department of Biology, University of Padova, Padova (Italy)
- Luz García-Alonso, Wellcome Sanger Institute, Cambridge (UK)
- Roser Vento-Tormo, Wellcome Sanger Institute, Cambridge (UK)
- Julio Saez-Rodriguez, Heidelberg University, Heidelberg (Germany)
- Yvan Saeys, VIB, Ghent University, Ghent (Belgium)