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Copy file name to clipboardExpand all lines: doc/amici_refs.bib
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modificationdate = {2025-03-10T08:58:09},
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@Article{JostWei2025,
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author = {Jost, Paul Jonas and Weindl, Daniel and Wunderling, Klaus and Thiele, Christoph and Hasenauer, Jan},
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journal = {bioRxiv},
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title = {Pseudo-time trajectory of single-cell lipidomics: Suggestion for experimental setup and computational analysis},
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year = {2025},
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abstract = {Cellular heterogeneity is a fundamental facet of cell biology, influencing cellular signaling, metabolism, and gene regulation. Its accurate quantification requires measurements at the single-cell level. Most high-throughput single-cell technologies provide only a snapshot of cellular heterogeneity at a specific time point because the measurement is destructive. This limits our current ability to understand the dynamics of cellular behavior and quantify cell-specific parameters.We propose an experimental setup combined with a model-based analysis framework, enabling the extraction of longitudinal data from a single destructive measurement. Although broadly applicable, we focus on lipid metabolism, a domain where obtaining longitudinal single-cell data has remained elusive due to technical constraints.Our method leverages multiple labels whose measurements are linked to a shared dynamic. This allows the estimation of cell-specific parameters and the quantification of heterogeneity. This framework establishes a foundation for future investigations, providing a roadmap toward a deeper understanding of dynamic cellular processes.Competing Interest StatementThe authors have declared no competing interest.},
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