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Phasing in on the cell cycle

Authors: Ludo Van Den Bosch; Steven Boeynaems; Steven Boeynaems; Peter Tompa; Peter Tompa;

Phasing in on the cell cycle

Abstract

Just like all matter, proteins can also switch between gas, liquid and solid phases. Protein phase transition has claimed the spotlight in recent years as a novel way of how cells compartmentalize and regulate biochemical reactions. Moreover, this discovery has provided a new framework for the study of membrane-less organelle biogenesis and protein aggregation in neurodegenerative disorders. We now argue that this framework could be useful in the study of cell cycle regulation and cancer. Based on our work on phase transitions of arginine-rich proteins in neurodegeneration, via combining mass spectroscopy with bioinformatics analyses, we found that also numerous proteins involved in the regulation of the cell cycle can undergo protein phase separation. Indeed, several proteins whose function affects the cell cycle or are associated with cancer, have been recently found to phase separate from the test tube to cells. Investigating the role of this process for cell cycle proteins and understanding its molecular underpinnings will provide pivotal insights into the biology of cell cycle progression and cancer.

Keywords

3101 Biochemistry and cell biology, RNA-BINDING PROTEINS, LIQUID DROPLETS, Protein phase separation, QH301 Biology / biológia, RC254-282, Cancer, Centrosome, C-TERMINAL DOMAIN, Science & Technology, HEXANUCLEOTIDE REPEAT, QH573-671, NUCLEOCYTOPLASMIC TRANSPORT, STRESS GRANULES, NOVO PURINE BIOSYNTHESIS, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, LOW-COMPLEXITY DOMAINS, Nucleolus, Cell Biology, IN-VITRO, INTRINSICALLY DISORDERED PROTEINS, Oncogenic fusion, Stress granules, Commentary, Protein aggregation, Cytology, Life Sciences & Biomedicine, 1199 Other Medical and Health Sciences, Developmental Biology

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
Green
gold