Abstract
The cell cycle is among the most basic phenomena in biology. Despite advances in single-cell analysis, dynamics and topology of the cell cycle in high-dimensional gene expression space remain largely unknown. We developed a linear analysis of transcriptome data which reveals that cells move along a planar circular trajectory in transcriptome space during the cycle. Non-cycling gene expression adds a third dimension causing helical motion on a cylinder. We find in immortalized cell lines that cell cycle transcriptome dynamics occur largely independently from other cellular processes. We offer a simple method (Revelio) to order unsynchronized cells in time. Precise removal of cell cycle effects from the data becomes a straightforward operation. The shape of the trajectory implies that each gene is upregulated only once during the cycle, and only two dynamic components represented by groups of genes drive transcriptome dynamics. It indicates that the cell cycle has evolved to minimize changes of transcriptional activity and the related regulatory effort. This design principle of the cell cycle may be of relevance to many other cellular differentiation processes.
Highlights
504-Plat The Transcriptome Dynamics of Single Cells During the Cell Cycle Daniel Schwabe1, Sara Formichetti1,2, Jan Philipp Junker1, Martin Falcke3,4, Nikolaus Rajewsky1. 1Max Delbr€uck Center for Molecular Medicine, Berlin, Germany, 2EMBL Rome, Rome, Italy, 3Mathematical Cell Physiology, Max Delbr€uck Ctr, Berlin, Germany, 4Humboldt University Berlin, Berlin, Germany
We report molecular dynamics (MD) simulations at both atomic and coarse-grained (CG) level of detail based on the first atomic-resolution structure of a mammalian NHE9
We find in immortalized cell lines that cell cycle transcriptome dynamics occur largely independently from other cellular processes
Summary
504-Plat The Transcriptome Dynamics of Single Cells During the Cell Cycle Daniel Schwabe1, Sara Formichetti1,2, Jan Philipp Junker1, Martin Falcke3,4, Nikolaus Rajewsky1. 1Max Delbr€uck Center for Molecular Medicine, Berlin, Germany, 2EMBL Rome, Rome, Italy, 3Mathematical Cell Physiology, Max Delbr€uck Ctr, Berlin, Germany, 4Humboldt University Berlin, Berlin, Germany. 503-Plat Ion Binding to a Mammalian Sodium/Proton Exchanger Membrane Protein from Molecular Dynamics Simulations Chenou Zhang1, Ricky Sexton1, Iven Winkelmann2, Rei Matsuoka2, Pascal Meier2, Denis Shutin3, Laura Orellana4, Michael Landreh5, Carol V.
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