Biology subjects

Macaluso, N.

Publications and source records attributed to Macaluso, N..

5 recordsLinked to original sources

bioRxiv2026

Behavioral and Functional Profiling of Acomys cahirinus Fibroblasts Reveals Enhanced Matrix Remodeling Capacity

The African spiny mouse (Acomys cahirinus) exhibits a unique capacity among mammals for scarless tissue regeneration, making it a compelling model for investigating the cellular mechanisms underlying regenerative healing. To determine how cellular heterogeneity and specific phenotypes influence fibroblast behavior, we established an immortalized Acomys fibroblast line along with a CRISPR/Cas9-mediated Col3A1 knockout variant and a DNA damage-induced senescent population. Compared with Mus musculus, NIH 3T3 fibroblasts, Acomys cells displayed distinct morphology, similar migration speeds, reduced directional persistence, and greater biophysical heterogeneity. While previous studies have linked regenerative wound healing to the elevated expression of collagen type III (Col3A1), CRISPR-mediated knockout of Col3A1 in Acomys fibroblasts yielded comparable biophysical profiles to wild-type cells in 2D culture. To examine additional contributors to the enhanced wound-like matrix environment, we established a senescence model in which Acomys fibroblasts exhibited elevated resistance to DNA-damaging agents, complete loss of proliferation, and altered single-cell morphology. In 3D collagen gel contraction assays, Col3A1 knockout attenuated matrix remodeling capacity, whereas the introduction of a small fraction of senescent cells enhanced gel contraction and remodeling dynamics, suggesting that senescent fibroblasts can modulate collective matrix behaviors. Together, these findings demonstrate that both Col3A1 expression and senescence-associated cell states contribute to fibroblast-driven matrix remodeling, highlighting Acomys fibroblasts as a valuable model for investigating how cellular heterogeneity and senescence-associated cell phenotypes could influence regenerative wound healing.

bioengineering↗

bioRxiv2026

Monocytes are biological sensors of aging and frailty in humans

Among older adults, frailty is clinically identifiable and characterized by increased vulnerability to adverse health outcomes. Although various tools exist to identify frailty, diagnosis often depends on late-stage clinical symptoms, which typically limit proactive intervention options. We considered whether aging and frailty information may be encoded in the single-cell behaviors and dynamic responses of primary human monocytes. Combining high-content imaging, single-cell behavior profiling, and machine learning, we demonstrated unique age- and frailty-dependent monocyte behaviors at baseline and following exposure to inflammatory stressors. Using these single-cell behaviors, we developed a deep learning neural network model called scTRAIT. scTRAIT accurately predicts the frailty status of older donors, including the capability to track and forecast longitudinal changes in frailty status. Collectively, these findings demonstrate that aging and frailty information are robustly encoded within single-cell behaviors, establishing monocytes as significant biological sensors of aging and frailty in humans. TeaserSingle-cell monocyte responses enable robust prediction of aging and frailty in humans

bioengineering↗

bioRxiv2026

Acute priming using elevated fluid viscosity recovers young-like single-cellsurveillance behaviors in aged human T cells

Aging is a complex biological process, often characterized by increased vulnerability to disease, infection, and death. This increased vulnerability is mechanistically linked to a progressive and functional decline of the immune system. In humans, aged lymphocytes lose their capacity to effectively surveil within diverse microenvironments, decreasing their capability for clearing infections and maintaining physiological homeostasis. However, specific mechanisms by which aged lymphocytes, specifically T cells, lose this capacity to surveil remain unclear. We profiled three core characteristics of T cell surveillance at single-cell resolution, specifically migration, deformability, and sensing. While aged T cells retained their capacity for spontaneous migration, they exhibited impaired cellular deformability and deficiencies in sensing local signaling cues. To modulate this surveillance defect, we performed mechanical reprogramming using elevated fluid viscosity. Results showed that acute priming of aged T cells with elevated fluid viscosity recovered a transient young-like surveillance phenotype, which was mechanistically linked to membrane tension, cortical F-actin, and Arp3 expression. These findings reveal a key source of surveillance defects in aged T cells and provide an effective mechanical approach to tuning their single-cell behaviors. TeaserRecovery of young-like surveillance phenotypes in aging human T cells via viscosity priming

bioengineering↗

bioRxiv2024

Single-cell morphology encodes functional subtypes of senescence in aging human dermal fibroblasts

Cellular senescence is an established driver of aging, exhibiting context-dependent phenotypes across multiple biological length-scales. Despite its mechanistic importance, profiling senescence within cell populations is challenging. This is in part due to the limitations of current biomarkers to robustly identify senescent cells across biological settings, and the heterogeneous, non-binary phenotypes exhibited by senescent cells. Using a panel of primary dermal fibroblasts, we combined live single-cell imaging, machine learning, multiple senescence induction conditions, and multiple protein-based senescence biomarkers to show the emergence of functional subtypes of senescence. Leveraging single-cell morphologies, we defined eleven distinct morphology clusters, with the abundance of cells in each cluster being dependent on the mode of senescence induction, the time post-induction, and the age of the donor. Of these eleven clusters, we identified three bona-fide senescence subtypes (C7, C10, C11), with C10 showing the strongest age-dependence across a cohort of fifty aging individuals. To determine the functional significance of these senescence subtypes, we profiled their responses to senotherapies, specifically focusing on Dasatinib + Quercetin (D+Q). Results indicated subtype-dependent responses, with senescent cells in C7 being most responsive to D+Q. Altogether, we provide a robust single-cell framework to identify and classify functional senescence subtypes with applications for next-generation senotherapy screens, and the potential to explain heterogeneous senescence phenotypes across biological settings based on the presence and abundance of distinct senescence subtypes.

bioengineering↗

bioRxiv2024

Substrate stiffness modulates the emergence and magnitude of senescence phenotypes

Cellular senescence is a major driver of aging and disease. Here we show that substrate stiffness modulates the emergence and magnitude of senescence phenotypes after exposure to senescence inducers. Using a primary dermal fibroblast model, we show that decreased substrate stiffness accelerates senescence-associated cell-cycle arrest and regulates the expression of conventional protein-based biomarkers of senescence. We found that the expression of these senescence biomarkers, namely p21WAF1/CIP1 and p16INK4a are mechanosensitive and are in-part regulated by myosin contractility through focal adhesion kinase (FAK)-ROCK signaling. Interestingly, at the protein level senescence-induced dermal fibroblasts on soft substrates (0.5 kPa) do not express p21WAF1/CIP1 and p16INK4a at comparable levels to induced cells on stiff substrates (4GPa). However, cells express CDKN1a, CDKN2a, and IL6 at the RNA level across both stiff and soft substrates. Moreover, when cells are transferred from soft to stiff substrates, senescent cells recover an elevated expression of p21WAF1/CIP1 and p16INK4a at levels comparable to senescence cells on stiff substrates, pointing to a mechanosensitive regulation of the senescence phenotype. Together, our results indicate that the emergent senescence phenotype depends critically on the local mechanical environments of cells and that senescent cells actively respond to changing mechanical cues.

molecular biology↗