henhaobio
Sign in

Cell GenomicsDevelopmental BiologyPeer-reviewed journal article

Depletion of aneuploid cells is shaped by cell-to-cell interactions

Elena Fusari, Mariana MuzzopappaiD, Juliette Gracia, Marco MilániD

PDFDOIPreprint

Abstract

Aneuploidy, the major cause of miscarriages in humans, is pervasive in early embryos but robustly dampened during development, allowing for healthy births. Later in life, aneuploidy correlates with pathological conditions including cancer. Identification of the mechanisms underlying the elimination of aneuploid cells is relevant in development and disease. Here we generated cells carrying molecularly defined segmental monosomies and trisomies and characterized their immediate impact on cellular behavior. Our data reveal signs of out-competition of cells carrying monosomies in genomic regions devoid of previously known haploinsufficient genes. Dose-dependent effects of single genes or a discrete number of genes contribute to the observed cellular behaviors. By simultaneously inducing cells carrying monosomies and trisomies of the same genomic location, we present evidence that segmental trisomies potentiate or alleviate the negative effects of the monosomy on growth, thus revealing a key role of cell interactions in defining the in vivo elimination of aneuploid cells. HighlightsSegmental monosomies cause growth impairment and are out-competed. Growth impairment relies on dose-dependent effects of single genes or a discrete number of genes. Segmental trisomies of up to 1500 genes do not have a major impact on proliferation and survival. Cell competition is modulated by the presence of cells trisomic for the same genomic region. eTOC BlurbAneuploidy has a negative impact on the growth and proliferation of all animal cells analyzed so far. Fusari et al. unravel a role of cell interactions in defining the in vivo elimination of aneuploid cells through cell competition.

Citations
3
FWCI
1.49
Field percentile
top 21%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISJi '21Sheltzer '16Ya '25Rancati '19Regin '24Resende '18
68% semantic matchGenetics
Zhejun Ji, Jacky Chuen, Marianthi Kiparaki+1 more·eLife·Apr 12, 2021· 41 citations