Simone Scalise, Giorgio Gosti, Giancarlo Ruocco, Giovanna Peruzzi, Mattia Miotto
{"title":"Probing leukemia cells behavior under starvation","authors":"Simone Scalise, Giorgio Gosti, Giancarlo Ruocco, Giovanna Peruzzi, Mattia Miotto","doi":"arxiv-2408.09219","DOIUrl":null,"url":null,"abstract":"The ability of a cancer cell population to achieve heterogeneity in their\nphenotype distributions offers advantages in tumor invasiveness and drug\nresistance. Studying the mechanisms behind such observed heterogeneity in\nmammalian cells presents challenges due for instance to the prolonged\nproliferation times compared to widely studied unicellular organisms like\nbacteria and yeast. Here, we studied the response of leukemia cell populations\nto serum starvation via a protocol, we recently developed, that makes use of\nlive cell fluorescence and flow cytometry in combination with a quantitative\nanalytical model to follow the population proliferation while monitoring the\ndynamics of its phenotype distributions. We found that upon switching between a\nserum-rich to a serum-poor media, leukemia cells (i) maintain a memory of the\nprevious environment up to one generation even in the presence of severe\nmedium-depletion, before (ii) adapting their growth and division rates to the\nnovel environment while preserving a sizer-like division strategy. Finally,\nlooking at the mitochondria content of the proliferating vs non-proliferating\ncells, we found that the latter is characterized by a higher number of older\nmitochondria, suggesting a possible functional role of the observed asymmetric\npartitioning of (aged) mitochondria in leukemia cells.","PeriodicalId":501266,"journal":{"name":"arXiv - QuanBio - Quantitative Methods","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Quantitative Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.09219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The ability of a cancer cell population to achieve heterogeneity in their
phenotype distributions offers advantages in tumor invasiveness and drug
resistance. Studying the mechanisms behind such observed heterogeneity in
mammalian cells presents challenges due for instance to the prolonged
proliferation times compared to widely studied unicellular organisms like
bacteria and yeast. Here, we studied the response of leukemia cell populations
to serum starvation via a protocol, we recently developed, that makes use of
live cell fluorescence and flow cytometry in combination with a quantitative
analytical model to follow the population proliferation while monitoring the
dynamics of its phenotype distributions. We found that upon switching between a
serum-rich to a serum-poor media, leukemia cells (i) maintain a memory of the
previous environment up to one generation even in the presence of severe
medium-depletion, before (ii) adapting their growth and division rates to the
novel environment while preserving a sizer-like division strategy. Finally,
looking at the mitochondria content of the proliferating vs non-proliferating
cells, we found that the latter is characterized by a higher number of older
mitochondria, suggesting a possible functional role of the observed asymmetric
partitioning of (aged) mitochondria in leukemia cells.