Literature DB >> 33205894

The transcriptome dynamics of single cells during the cell cycle.

Daniel Schwabe1, Sara Formichetti2,3,4, Jan Philipp Junker5, Martin Falcke1,6, Nikolaus Rajewsky2.   

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.
© 2020 The Authors. Published under the terms of the CC BY 4.0 license.

Entities:  

Keywords:  cell biology; cell cycle; dynamical systems; single-cell RNA sequencing; systems biology

Year:  2020        PMID: 33205894      PMCID: PMC7672610          DOI: 10.15252/msb.20209946

Source DB:  PubMed          Journal:  Mol Syst Biol        ISSN: 1744-4292            Impact factor:   11.429


  40 in total

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5.  A high-resolution transcriptome map of cell cycle reveals novel connections between periodic genes and cancer.

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Review 5.  Temporal modelling using single-cell transcriptomics.

Authors:  Jun Ding; Nadav Sharon; Ziv Bar-Joseph
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6.  Modeling Progression of Single Cell Populations Through the Cell Cycle as a Sequence of Switches.

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Journal:  Front Mol Biosci       Date:  2022-02-01

7.  Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation.

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  9 in total

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