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Cell-in-cell phenomena across the tree of life.
Kapsetaki, Stefania E; Cisneros, Luis H; Maley, Carlo C.
Afiliación
  • Kapsetaki SE; Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.
  • Cisneros LH; Biodesign Center for Biocomputing, Security and Society, Arizona State University, Tempe, AZ, USA.
  • Maley CC; Tufts University, School of Arts and Sciences, Department of Biology, Medford, MA, USA.
Res Sq ; 2023 Sep 29.
Article en En | MEDLINE | ID: mdl-37841858
ABSTRACT
Cells in obligately multicellular organisms by definition have aligned fitness interests, minimum conflict, and cannot reproduce independently. However, some cells eat other cells within the same body, sometimes called cell cannibalism. Such cell-in-cell events have not been thoroughly discussed in the framework of major transitions to multicellularity. We performed a systematic review of 508 articles to search for cell-in-cell events across the tree of life, the age of cell-in-cell-related genes, and whether cell-in-cell events are associated with normal multicellular development or cancer. Out of the 38 cell-in-cell-related genes found in the literature, 14 genes were over 2.2 billion years old, i.e., older than the common ancestor of some facultatively multicellular taxa. Therefore, we propose that cell-in-cell events originated before the origins of obligate multicellularity. Cell-in-cell events are found almost everywhere across some unicellular and many multicellular organisms, mostly in malignant rather than benign tissue, and in non-neoplastic cells. Thus, our results show that cell-in-cell events exist in obligate multicellular organisms, but are not a defining feature of them. The idea of eradicating cell-in-cell events from obligate multicellular organisms as a way of treating cancer, without considering that cell-in-cell events are also part of normal development, should be abandoned.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article