Explore the words cloud of the IntScOmics project. It provides you a very rough idea of what is the project "IntScOmics" about.
The following table provides information about the project.
KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW
|Coordinator Country||Netherlands [NL]|
|Total cost||2˙500˙000 €|
|EC max contribution||2˙500˙000 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2018-01-01 to 2022-12-31|
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|1||KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW||NL (AMSTERDAM)||coordinator||2˙500˙000.00|
From populations of unicellular organisms to complex tissues, cell-to-cell variability in phenotypic traits seems to be universal. To study this heterogeneity and its biological consequences, researchers have used advanced microscopy-based approaches that provide exquisite spatial and temporal resolution, but these methods are typically limited to measuring a few properties in parallel. On the other hand, next generation sequencing technologies allow for massively parallel genome-wide approaches but have, until recently, relied on studying population averages obtained from pooling thousands to millions of cells, precluding genome-wide analysis of cell-to-cell variability. Very excitingly, in the last few years there has been a revolution in single-cell sequencing technologies allowing genome-wide quantification of mRNA and genomic DNA in thousands of individual cells leading to the convergence of genomics and single-cell biology. However, during this convergence the spatial and temporal information, easily accessed by microscopy-based approaches, is often lost in a single-cell sequencing experiment. The overarching goal of this proposal is to develop single-cell sequencing technology that retains important aspects of the spatial-temporal information. In particular I will focus on integrating single-cell transcriptome and epigenome measurements with the physical cell-to-cell interaction network (spatial information) and lineage information (temporal information). These tools will be utilized to (i) explore the division symmetry of intestinal stem cells in vivo; (ii) to reconstruct the cell lineage history during zebrafish regeneration; and (iii) to determine lineage relations and the physical cell-to-cell interaction network of progenitor cells in the murine bone marrow.
|year||authors and title||journal||last update|
Anna Alemany, Maria Florescu, ChloÃ© S. Baron, Josi Peterson-Maduro, Alexander van Oudenaarden
Whole-organism clone tracing using single-cell sequencing
published pages: 108-112, ISSN: 0028-0836, DOI: 10.1038/nature25969
Jean-Charles Boisset, Judith ViviÃ©, Dominic GrÃ¼n, Mauro J. Muraro, Anna Lyubimova, Alexander van Oudenaarden
Mapping the physical network of cellular interactions
published pages: 547-553, ISSN: 1548-7091, DOI: 10.1038/s41592-018-0009-z
|Nature Methods 15/7||2019-09-09|
Lennart Kester, Alexander van Oudenaarden
Single-Cell Transcriptomics Meets Lineage Tracing
published pages: 166-179, ISSN: 1934-5909, DOI: 10.1016/j.stem.2018.04.014
|Cell Stem Cell 23/2||2019-09-09|
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