Related Experiment Video
Updated: Mar 9, 2026

Measurement of Mitochondrial Mass and Membrane Potential in Hematopoietic Stem Cells and T-cells by Flow Cytometry
Published on: December 26, 2019
Stem Cell Transcriptome Responses and Corresponding Biomarkers That Indicate the Transition from Adaptive Responses
Tanja Waldmann1, Marianna Grinberg2, André König2
1In Vitro Toxicology and Biomedicine, Department inaugurated by the Doerenkamp-Zbinden Chair Foundation, University of Konstanz , 78457 Konstanz, Germany.
Abstract:
Analysis of transcriptome changes has become an established method to characterize the reaction of cells to toxicants. Such experiments are mostly performed at compound concentrations close to the cytotoxicity threshold. At present, little information is available on concentration-dependent features of transcriptome changes, in particular, at the transition from noncytotoxic concentrations to conditions that are associated with cell death. Thus, it is unclear in how far cell death confounds the results of transcriptome studies. To explore this gap of knowledge, we treated pluripotent stem cells differentiating to human neuroepithelial cells (UKN1 assay) for short periods (48 h) with increasing concentrations of valproic acid (VPA) and methyl mercury (MeHg), two compounds with vastly different modes of action. We developed various visualization tools to describe cellular responses, and the overall response was classified as "tolerance" (minor transcriptome changes), "functional adaptation" (moderate/strong transcriptome responses, but no cytotoxicity), and "degeneration". The latter two conditions were compared, using various statistical approaches. We identified (i) genes regulated at cytotoxic, but not at noncytotoxic, concentrations and (ii) KEGG pathways, gene ontology term groups, and superordinate biological processes that were only regulated at cytotoxic concentrations. The consensus markers and processes found after 48 h treatment were then overlaid with those found after prolonged (6 days) treatment. The study highlights the importance of careful concentration selection and of controlling viability for transcriptome studies. Moreover, it allowed identification of 39 candidate "biomarkers of cytotoxicity". These could serve to provide alerts that data sets of interest may have been affected by cell death in the model system studied.
Insights
Understanding how toxicant concentrations affect cell transcriptome is crucial. This study reveals distinct gene expression patterns at non-cytotoxic versus cytotoxic levels, identifying 39 potential biomarkers of cell death.
Area of Science:
- Toxicogenomics
- Developmental Biology
- Cellular Toxicology
Background:
- Transcriptome analysis is key to understanding cellular responses to toxicants.
- Current studies often overlook concentration-dependent effects, especially near the cytotoxicity threshold.
- The impact of cell death on transcriptome data remains poorly understood.
Purpose of the Study:
- To investigate concentration-dependent transcriptome changes in differentiating stem cells exposed to toxicants.
- To differentiate between cellular responses at non-cytotoxic and cytotoxic concentrations.
- To identify reliable biomarkers for detecting cell death-induced transcriptome alterations.
Main Methods:
- Human neuroepithelial cells (UKN1 assay) were treated with valproic acid (VPA) and methyl mercury (MeHg) at varying concentrations for 48 hours and 6 days.
- Cellular responses were classified as 'tolerance', 'functional adaptation', or 'degeneration'.
- Statistical approaches were used to compare gene expression and pathway changes between non-cytotoxic and cytotoxic conditions.
Main Results:
- Identified genes and KEGG pathways specifically regulated at cytotoxic concentrations.
- Found consensus markers and biological processes affected by both short-term (48h) and prolonged (6 days) toxicant exposure.
- Discovered 39 candidate biomarkers indicative of cytotoxicity.
Conclusions:
- Careful control of toxicant concentration and cell viability is essential for accurate transcriptome studies.
- The identified biomarkers can help detect potential confounding effects of cell death in toxicogenomic data.
- This research provides a framework for interpreting transcriptome data in the context of cytotoxicity.
Related Concept Videos
Regulation of Hematopoietic Stem Cells
Cell-mediated Immune Responses
Cytotoxic T Cells-mediated Immune Response
Immunological surveillance is the ability of immune cells to monitor and eliminate infected cells with intracellular pathogens, neoplastically transformed cells, and cells with non-self antigens. Cytotoxic T cells and NK...

