Evidence map›Paper›PMID 33205894›Full record

ArticleMolecular systems biology2020

The transcriptome dynamics of single cells during the cell cycle.

Daniel Schwabe, Sara Formichetti, Jan Philipp Junker, Martin Falcke, Nikolaus Rajewsky

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 87 citations in OpenAlex.

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  6. Cell Cycle Sensing Shapes Human T Cell Fate and Exhaustion Programs.bioRxiv : the preprint server for biology · 2026
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  15. Characterizing the Impact of the Cell Cycle on mRNA Lipid Nanoparticles.Journal of the American Chemical Society · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Daniel SchwabeMathematical Cell Physiology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.ORCID 0000-0003-2825-3352
Sara FormichettiSystems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.ORCID 0000-0002-7907-2239
Jan Philipp JunkerQuantitative Developmental Biology, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.ORCID 0000-0002-2826-8290
Martin FalckeMathematical Cell Physiology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.ORCID 0000-0001-7137-1114
Nikolaus RajewskySystems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.ORCID 0000-0002-4785-4332
Max Delbrück Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Single-Cell AnalysisTranscriptome3T3 CellsAnimalsCell CycleCell DivisionGene Expression ProfilingHEK293 CellsHeLa CellsHumansMicecell biologycell cycledynamical systemssingle-cell RNA sequencingsystems biology

Identifiers

PMID33205894
PMCPMC7672610
OpenAlexW3105727837

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.