bioRxiv Science⌕ Search

Biology subjects

Maguire, M. L.

Publications and source records attributed to Maguire, M. L..

2 recordsLinked to original sources

Lysosomal abundance in young and aged mouse hearts assessed by In Vivo Imaging Systems (IVIS) Lysotracker imaging and autophagy-related gene expression

Lysosomal function is essential for cardiac proteostasis and cellular health, yet its regulation during ageing remains poorly defined. We hypothesised that ageing alters both the abundance of acidic organelles and the machinery supporting their acidification. Using fluorescence-based In Vivo Imaging Systems (IVIS) with Lysotracker Red in young (2-4 months) and aged (18 months) mouse hearts, we quantified whole-heart acidic-vesicle signals and assessed expression of lysosomal and autophagy-related genes (Lamp2, Atp6v1a, Sqstm1, Cd63, Atg12, Nfe2l2, M6pr) by RT-qPCR. Whole-heart labelled Lysotracker fluorescence did not differ significantly between age groups, indicating preservation of the total acidic-vesicle pool. No changes in Atp6v1a and Lamp2 expression suggest acidification capacity and structural stability are maintained, whereas the minor, upregulation of Sqstm1 might indicate increased autophagic demand and altered vesicle trafficking, which warrants further investigation. No statistical significant changes in M6pr, Atg12, or Nfe2l2 were detected, suggesting transcriptional stability in enzyme trafficking, core autophagy, and oxidative stress pathways. Regionally, atria showed higher Lysotracker signal than ventricles, consistent with known enrichment of acidic vesicular stores in atrial physiology. These findings highlight the utility of IVIS imaging of Lysotracker-labelled hearts, providing rapid whole-organ assessment of acidic vesicle distribution, albeit with limited depth resolution. Complementary techniques such as RT-qPCR analysis is essential to interpret IVIS findings, enabling insight into underlying molecular changes in lysosomal and autophagy pathways during cardiac ageing.

physiology↗

Evaluating Labelling Efficiency of Commercial SPIONs in Mesenchymal Stem/Stromal Cells for Magnetic Particle Imaging Applications

Magnetic Particle Imaging (MPI) is a state-of-the-art, highly sensitive modality for non-invasive cell tracking. This study evaluated labelling efficiency, biocompatibility, intracellular localization, and MPI detection sensitivity of four commercial superparamagnetic iron oxide nanoparticles (SPIONs)--ProMag, VivoTrax, SynoMag-D, and Ferumoxytol--in mouse mesenchymal stem/stromal cells. SPION labelling efficiency and cytotoxicity was assessed at varying concentrations and incubation times using Prussian blue staining and ATP-based viability assays, respectively. MPI characterization and transmission electron microscopy (TEM) evaluations were performed for cells labelled for two-hour with ProMag or VivoTrax. For >90% labelling efficiency, ProMag required 20{square}{micro}g Fe/mL across all time points. VivoTrax, however, required [≥]240{square}{micro}g Fe/mL, reducing cell viability by >20% necessitating a reduction to 120 {micro}g/mL for further analyses. Transfection agents improved SynoMag-D and Ferumoxytol labelling but compromised viability. MPI analysis revealed linear dependence of signal intensity on labelled cell numbers for ProMag and VivoTrax (r2=0.99). ProMag yielded higher signal intensity due to greater iron uptake, although VivoTrax exhibited higher signal per unit iron. TEM confirmed intracellular SPION localization, with ProMag present as individual particles and VivoTrax as aggregates within endocytic vesicles. Low-temperature assays confirmed energy-dependent endocytosis as the primary uptake mechanism. Despite ProMags stronger MPI signals and lower detection threshold (12,500 cells), VivoTraxs superior magnetization per iron suggests its potential following further optimization of cell uptake. Overall, ProMag and VivoTrax emerged as optimal candidates for MPI-based stem cell tracking. These findings underscore the importance of optimizing both nanoparticle selection and labelling protocols to maximize MPI performance and inform future in vivo applications.

cell biology↗