Carmen Ruger-Herreros, Irene Delgado-Román, María José García-Marcelo, Sebastián Chávez, Mari-Cruz Muñoz-Centeno
{"title":"Determining the Age of Every Cell Within Each Budding Yeast Microcolony Combining Single-Cell Microencapsulation With Confocal Microscopy.","authors":"Carmen Ruger-Herreros, Irene Delgado-Román, María José García-Marcelo, Sebastián Chávez, Mari-Cruz Muñoz-Centeno","doi":"10.21769/BioProtoc.5813","DOIUrl":null,"url":null,"abstract":"<p><p>Isogenic populations of <i>Saccharomyces cerevisiae</i> exhibit significant proliferative heterogeneity, with individual cells within a clonal culture displaying divergent growth rates and metabolic states. Investigating the origins of this variation requires a method to reconstruct the individual histories of cells within the population. This protocol describes a method for single-cell microencapsulation in alginate microspheres to create a physically stable, traceable, three-dimensional genealogical environment. By utilizing the alginate matrix to prevent daughter cell migration, the replicative history of a founder cell can be mathematically reconstructed. This is achieved by correlating the total cell count (N) within a developed microcolony with the total number of accumulated bud scars (n) visualized via confocal microscopy. Key features • Enables non-destructive 3D reconstruction of yeast genealogies, preserving spatial architecture and mapping all division events from a single founder cell. • Implements a robust mathematical formula to determine the founder's replicative age, linking past mitotic history to current microcolony growth dynamics. • Combines Flow Focusing<sup>®</sup> microencapsulation with precise confocal Z-stack analysis to review lineage-specific phenotypic heterogeneity in isogenic populations. • Ideal for studying transgenerational inheritance and growth-rate diversification, providing a traceable, three-dimensional genealogical ecosystem for single-cell research.</p>","PeriodicalId":93907,"journal":{"name":"Bio-protocol","volume":"16 17","pages":"e5813"},"PeriodicalIF":1.3000,"publicationDate":"2026-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13561675/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bio-protocol","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21769/BioProtoc.5813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Isogenic populations of Saccharomyces cerevisiae exhibit significant proliferative heterogeneity, with individual cells within a clonal culture displaying divergent growth rates and metabolic states. Investigating the origins of this variation requires a method to reconstruct the individual histories of cells within the population. This protocol describes a method for single-cell microencapsulation in alginate microspheres to create a physically stable, traceable, three-dimensional genealogical environment. By utilizing the alginate matrix to prevent daughter cell migration, the replicative history of a founder cell can be mathematically reconstructed. This is achieved by correlating the total cell count (N) within a developed microcolony with the total number of accumulated bud scars (n) visualized via confocal microscopy. Key features • Enables non-destructive 3D reconstruction of yeast genealogies, preserving spatial architecture and mapping all division events from a single founder cell. • Implements a robust mathematical formula to determine the founder's replicative age, linking past mitotic history to current microcolony growth dynamics. • Combines Flow Focusing® microencapsulation with precise confocal Z-stack analysis to review lineage-specific phenotypic heterogeneity in isogenic populations. • Ideal for studying transgenerational inheritance and growth-rate diversification, providing a traceable, three-dimensional genealogical ecosystem for single-cell research.