Cellular polyploidy in organ homeostasis and regeneration

Fang, Jinling; Bruin, Alain de; Villunger, Andreas; Schiffelers, Raymond M.; Lei, Zhiyong; Sluijter, Joost P. G.

doi:10.1093/procel/pwac064

Cited by 3 publications

(4 citation statements)

References 246 publications

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“…The polyploidy of mammalian somatic cells has been well-studied in cardiomyocytes and hepatocytes and has also been reported in other cell types including neurons, mammary gland epithelial cells, and mesothelial cells (Biesterfeld et al 1994;Ugo 2007;Orr-Weaver 2015;Fang et al 2022). We observed polyploidy in these cell types.…”

Section: Resultssupporting

confidence: 75%

“…While the majority of human and mouse somatic cells are diploid, certain cell types, such as hepatocytes, cardiomyocytes, and megakaryocytes, exhibit higher levels of ploidy (Biesterfeld et al 1994;Ugo 2007;Orr-Weaver 2015;Fang et al 2022). Ploidy is relevant to various biological phenomena, including development, tissue regeneration, metabolism, and cancer.…”

Section: Introductionmentioning

confidence: 99%

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Ploidy inference from single-cell data: application to human and mouse cell atlases

Takeuchi,

Kato

2023

Preprint

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Ploidy is relevant to numerous biological phenomena, including development, metabolism, and tissue regeneration. Single-cell RNA-seq and other omics studies are revolutionizing our understanding of biology, yet they have largely overlooked ploidy. This is likely due to the additional assay step required for ploidy measurement. Here, we developed a statistical method to infer ploidy from single-cell ATAC-seq data. When applied to the data from human and mouse cell atlases, our method enabled systematic detection of polyploidy across a range of cell types. This method allows for the integration of ploidy analysis into single-cell studies.Article summaryPloidy plays a crucial role in many biological processes. Though modern studies offer deep insights into biology, they often neglect ploidy because it’s challenging to measure. In this research, we have created a new method to detect ploidy using single-cell data. This technique helps identify polyploid cells across various cell types, bridging a gap in our understanding.

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Section: Resultssupporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Ploidy inference from single-cell data: application to human and mouse cell atlases

Takeuchi,

Kato

2023

Preprint

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“…The polyploidy of mammalian somatic cells has been extensively studied in hepatocytes and cardiac myocytes and has also been documented in megakaryocytes, neurons, and Purkinje cells ( Biesterfeld et al 1994 ; Ugo 2007 ; Orr-Weaver 2015 ; Nandakumar et al 2021 ; Fang et al 2022 ). Our findings confirm polyploidy in these cell types.…”

Section: Resultsmentioning

confidence: 99%

“…While the majority of human and mouse somatic cells is diploid, certain cell types, such as hepatocytes, cardiac myocytes, and megakaryocytes, exhibit higher levels of ploidy ( Biesterfeld et al 1994 ; Ugo 2007 ; Orr-Weaver 2015 ; Fang et al 2022 ). Ploidy is relevant to various biological phenomena, including development, tissue regeneration, metabolism, and cancer.…”

Section: Introductionmentioning

confidence: 99%

Ploidy inference from single-cell data: application to human and mouse cell atlases

Takeuchi,

Kato

2024

Genetics

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Ploidy is relevant to numerous biological phenomena, including development, metabolism, and tissue regeneration. Single-cell RNA-seq and other omics studies are revolutionizing our understanding of biology, yet they have largely overlooked ploidy. This is likely due to the additional assay step required for ploidy measurement. Here, we developed a statistical method to infer ploidy from single-cell ATAC-seq data, addressing this gap. When applied to data from human and mouse cell atlases, our method enabled systematic detection of polyploidy across diverse cell types. This method allows for the integration of ploidy analysis into single-cell studies. Additionally, this method can be adapted to detect the proliferating stage in the cell cycle and copy number variations in cancer cells. The software is implemented as the scPloidy package of the R software and is freely available from CRAN.

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Cell autocloning as a pathway to their real rejuvenation

Salnikov

2024

Front. Aging

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The article gives a brief description of geroprotection and rejuvenation methods known to date, presenting their main mechanisms and limitations. To overcome the main limitations of the process of rejuvenation, it is possible to use a process called “cell autocloning.” The principle of the proposed method of rejuvenation is as follows: a periodic process of autocloning of the cell nucleus is initiated in the cellular genome with the formation of one unstable daughter copy and its subsequent self-elimination. In this case, the process of cell division stops in the phase of nuclei divergence without subsequent physical separation of the cell itself. This is especially important for postmitotic cells, where the looping of the “unidirectional” line of the ontogenesis program into a “ring” will mean their transition into renewable cells. The prototype for autocloning mechanisms could be the already known ways in which cells adapt to the increasing amount of their damage over time. These are polyploidy and asymmetric cell division, relying on which it is possible to obtain a renewable process of cell nuclei division, when only the original nucleus remains as a result of division. Although this is not a simple task, there are possible pathways to its solution using approaches that can suggest modern knowledge from the field of molecular and cell biology and genetics. The realization of such a goal will require a lot of work, but the expected result justifies it.

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Cellular polyploidy in organ homeostasis and regeneration

Cited by 3 publications

References 246 publications

Ploidy inference from single-cell data: application to human and mouse cell atlases

Ploidy inference from single-cell data: application to human and mouse cell atlases

Ploidy inference from single-cell data: application to human and mouse cell atlases

Cell autocloning as a pathway to their real rejuvenation

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