Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.08.20.746082

A Standardized In Vitro Platform for Senolytic Drug Discovery in Human Musculoskeletal Cells

Abstract

Cellular senescence contributes to the progression of many age related musculoskeletal diseases. Cellular senescence is a biological state that arises from replicative exhaustion and various cellular stressors, including elevated oxidative stress, mitochondrial dysfunction, mechanical overload, and chronic exposure to pro-inflammatory cytokines and proteases. Although senolytic agents show promise for eliminating senescent cells, their translation has been hindered by the lack of physiologically relevant and scalable in vitro screening methods. In the present study, we developed a standardized, physiologically relevant senescence-induction model and validated a metabolic activity assay as a rapid, scalable method for screening senolytic compounds. We used primary human intervertebral disc cells (IVD) as an example, but the workflow applies to many other cell types. To mimic inflammatory and oxidative stress, we used a combination of TLR-2 activation (Pam2CSK4) and tert-butyl hydroperoxide (tBHP), a potent ROS generator. Senescence induction was validated by quantifying {beta}-galactosidase fluorescence intensity, {beta}-gal enzymatic activity, and the expression of the p16 senescence marker across 3 IVD cell types: nucleus pulposus (NP), inner annulus fibrosus (iAF), and outer annulus fibrosus (oAF) cells. The combined Pam2CSK4 + tBHP exposure generated a robust senescent phenotype across all 3 IVD cell types, with oAF cells exhibiting the strongest increases in {beta}-gal fluorescence, {beta}-gal enzymatic activity, and p16 expression. We then used oAF cells to evaluate if the metabolic activity assay (Alamar Blue) could be used to determine both cytotoxicity of senolytic drugs in non-senescent cells and senolytic activity in a mixed population of senescent and non-senescent cells. We validate the method by comparing metabolic activity results with {beta}-gal enzymatic activity and p16 expression in induced and noninduced cells following exposure to three known senolytics (o-Vanillin, RG-7112, and ABT-199). The metabolic activity assay reliably identified a therapeutic window in which the three senolytics were non-toxic to non-senescent cells while selectively reducing metabolic activity in a mixed population of senescent and non-senescent cells. The reductions in metabolic activity in the mixed population correlated with decreases in SA {beta}-gal enzymatic activity and p16 expression, validating metabolic activity as a sensitive and scalable senolytic readout.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Cherif, H., Alsabri, S., Ouellet, J. A., Haglund, L.. 2026-08-21. A Standardized In Vitro Platform for Senolytic Drug Discovery in Human Musculoskeletal Cells. https://doi.org/10.64898/2026.08.20.746082

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Differential requirement for the Ire1 luminal domain in Candida albicans drug susceptibility and pathogenicity

The opportunistic human pathogen Candida albicans depends on the unfolded protein response (UPR) for cell wall integrity, antifungal tolerance, filamentous growth, and virulence. The UPR is driven by the conserved transmembrane sensor Ire1, which is activated either by misfolded proteins through its luminal domain or by lipid bilayer stress (LBS) through its transmembrane domain. In budding yeast, these two activation modes deploy divergent transcriptional programs. Whether the requirement for these two input domains is separable in C. albicans, where the cell membrane and cell wall are themselves the targets of major antifungal drug classes, remains unknown. Here, we engineered a C. albicans strain expressing Ire1 lacking an intact luminal domain (ire1{Delta}LD), which no longer detects proteotoxic stress. The ire1{Delta}LD strain grew in the presence of the azole antifungals fluconazole and miconazole but was highly sensitive to heat shock, cell wall stress, and the echinocandin caspofungin. It was also unable to sustain filamentous growth and showed reduced virulence in a Caenorhabditis elegans infection model. RNA sequencing revealed only modest changes to the steady-state transcriptome of ire1{Delta}LD cells. Together, these findings define a differential requirement for the input domains of C. albicans Ire1, uncoupling growth under azole-induced membrane stress from the cell wall, thermal, and virulence-associated outputs that depend on proteotoxic sensing, a distinction that could inform antifungal strategies targeting the UPR.

cell biology↗

Nucleosome Core Allostery Governs Chromatin Recognition and Cell Fate

Nucleosomes regulate chromatin folding, accessibility, and factor recruitment. Current models primarily attribute these functions to histone tail modifications, while the core is largely viewed as a structural scaffold. Yet subtle changes within the nucleosome core can produce profound functional consequences, and the mechanisms underlying these effects remain unclear. Here, we describe nucleosome core allostery as a fundamental principle of chromatin regulation that amplifies the impact of minimal nucleosome variations. Leveraging natural differences between H2A.Z variants, we show that the nucleosome core encodes distinct conformational dynamics that propagate allosterically, thereby controlling nucleosome accessibility and recognition by chromatin factors. As a result, a single buried amino acid substitution alone is sufficient to reprogram nucleosome dynamics and bias cell identity. Our findings establish the nucleosome core as an allosteric regulatory module and provide a generalizable framework for how subtle variation within nucleosomes is amplified into diverse biological outcomes in development and disease.

cell biology↗

A Novel Open-Source CellProfiler Pipeline for Automated, User-Friendly Hierarchical and K-Means Clustering of Microglial Morphology

Microglia represent a highly dynamic and heterogeneous cell type that is critically implicated in states of health and pathology. Microglial morphological subgroups have been identified that correspond to functional characteristics determining health-related outcomes. The identification of states based on morphological characteristics will therefore provide invaluable insights into the microglia-specific functional mechanisms driving treatment effects. The application of clustering analyses enables the detection of groupings within samples reflecting differences in morphological features. Here we propose the application of three custom-created modules to be used within the open-source software CellProfiler. These modules enable the automated detection of clusters present within the sample of microglia, as well as the assessment of the abundance of these clusters across conditions. The application of the analysis is conducted in a highly user-friendly manner, with a user interface integrated into the pipeline, enabling the performance of the analysis with only minimal user input. The workflow thereby includes the conduction of an outlier assessment, followed by hierarchical clustering and k-means clustering and the generation of interactive graphs to determine the number of microglia states present in the sample. Bar plots displaying the abundance of the microglia states across conditions included in the sample will be created. This approach will facilitate faster and more comparable detection of microglial morphological clusters across studies.

cell biology↗