Comprehensive analysis of cellular metrics: From proliferation to mitochondrial membrane potential and cell death in a single sample

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.

Authors

Institutions

Publication Details

Journal
Cell Death Discovery
Published
2025-03-24
DOI
https://doi.org/10.1038/s41420-025-02391-2
Citations
9
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
14.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive analysis of cellular metrics: From proliferation to mitochondrial membrane potential and cell death in a single sample

Sirina Sabirova, Nikita Markov, Marina Gomzikova, Hans‐Uwe Simon et al.
9 citations
Cell Death Discovery
Cell Image Analysis Techniques
14.71
article

Comprehensive analysis of cellular metrics: From proliferation to mitochondrial membrane potential and cell death in a single sample

Sirina Sabirova, Nikita Markov, Marina Gomzikova, Hans‐Uwe Simon, Albert Anatolyevich Rizvanov, Anna Brichkina, Gulnaz Sharapova, Nick A. Barlev, Aida Budyukova
article en
9 citations

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.

Cell Death DiscoveryVol. 11(1)
University of Bern (CH), Philipps University of Marburg (DE), Kazan Federal University (RU), Universidad Iberoamericana (DO), Institute of Cytology (RU), Medizinische Hochschule Brandenburg Theodor Fontane (DE), Tatarstan Academy of Sciences (RU), Nazarbayev University (KZ)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Good health and well-being
Openalex Percentile: Top 1%
Cell Image Analysis Techniques
14.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.