Sirina Sabirova, Gulnaz Sharapova, Aida Budyukova, Marina Gomzikova, Anna Brichkina, Nick A Barlev, Albert Rizvanov, Nikita Markov, Hans-Uwe Simon
{"title":"Comprehensive analysis of cellular metrics: From proliferation to mitochondrial membrane potential and cell death in a single sample.","authors":"Sirina Sabirova, Gulnaz Sharapova, Aida Budyukova, Marina Gomzikova, Anna Brichkina, Nick A Barlev, Albert Rizvanov, Nikita Markov, Hans-Uwe Simon","doi":"10.1038/s41420-025-02391-2","DOIUrl":null,"url":null,"abstract":"<p><p>Changes in cell number during in vitro experiments and pharmacological screenings primarily depend on two factors: cell death and proliferation. The dynamics of these processes determine whether cell populations expand and accumulate or, conversely, decrease over time. Understanding the biological mechanisms governing these changes is crucial for deciphering the mode of action of any pharmacological or genetic treatment in fundamental research and pre-clinical trials. In this context, we introduce a robust and efficient flow cytometry-based methodology that enables comprehensive analysis of key cellular parameters that indicate changes in cell numbers. This approach encompasses the assessment of cell count along with critical maintenance parameters including proliferation, cell cycle dynamics, apoptosis, cell permeability, and mitochondrial depolarization. These parameters are intricately linked, offering a detailed view of the cellular state. The described methodology is versatile and adaptable for analyzing various cell types, whether at steady state or in response to treatments. To develop this workflow, we integrated and optimised multiple flow cytometry-based stainings such as annexin V, propidium iodide, bromodeoxyuridine, CellTrace Violet, and JC-1 into a unified protocol. This article offers a detailed, step-by-step guide to the entire method, covering aspects such as timing, sample preparation techniques, and the reagents used. Additionally, it includes examples of the data that can be obtained with this technique and illustrates its multiparametric visualization. Collectively, this methodology facilitates the rapid acquisition of up to eight different parameters from a single sample in one experiment.</p>","PeriodicalId":9735,"journal":{"name":"Cell Death Discovery","volume":"11 1","pages":"119"},"PeriodicalIF":6.1000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11933298/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Death Discovery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41420-025-02391-2","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Changes in cell number during in vitro experiments and pharmacological screenings primarily depend on two factors: cell death and proliferation. The dynamics of these processes determine whether cell populations expand and accumulate or, conversely, decrease over time. Understanding the biological mechanisms governing these changes is crucial for deciphering the mode of action of any pharmacological or genetic treatment in fundamental research and pre-clinical trials. In this context, we introduce a robust and efficient flow cytometry-based methodology that enables comprehensive analysis of key cellular parameters that indicate changes in cell numbers. This approach encompasses the assessment of cell count along with critical maintenance parameters including proliferation, cell cycle dynamics, apoptosis, cell permeability, and mitochondrial depolarization. These parameters are intricately linked, offering a detailed view of the cellular state. The described methodology is versatile and adaptable for analyzing various cell types, whether at steady state or in response to treatments. To develop this workflow, we integrated and optimised multiple flow cytometry-based stainings such as annexin V, propidium iodide, bromodeoxyuridine, CellTrace Violet, and JC-1 into a unified protocol. This article offers a detailed, step-by-step guide to the entire method, covering aspects such as timing, sample preparation techniques, and the reagents used. Additionally, it includes examples of the data that can be obtained with this technique and illustrates its multiparametric visualization. Collectively, this methodology facilitates the rapid acquisition of up to eight different parameters from a single sample in one experiment.
期刊介绍:
Cell Death Discovery is a multidisciplinary, international, online-only, open access journal, dedicated to publishing research at the intersection of medicine with biochemistry, pharmacology, immunology, cell biology and cell death, provided it is scientifically sound. The unrestricted access to research findings in Cell Death Discovery will foster a dynamic and highly productive dialogue between basic scientists and clinicians, as well as researchers in industry with a focus on cancer, neurobiology and inflammation research. As an official journal of the Cell Death Differentiation Association (ADMC), Cell Death Discovery will build upon the success of Cell Death & Differentiation and Cell Death & Disease in publishing important peer-reviewed original research, timely reviews and editorial commentary.
Cell Death Discovery is committed to increasing the reproducibility of research. To this end, in conjunction with its sister journals Cell Death & Differentiation and Cell Death & Disease, Cell Death Discovery provides a unique forum for scientists as well as clinicians and members of the pharmaceutical and biotechnical industry. It is committed to the rapid publication of high quality original papers that relate to these subjects, together with topical, usually solicited, reviews, editorial correspondence and occasional commentaries on controversial and scientifically informative issues.