Biology subjects

Nasello, G.

Publications and source records attributed to Nasello, G..

3 recordsLinked to original sources

bioRxiv2023

Dynamical modeling reveals RNA decay mediates the effect of matrix stiffness on aged muscle stem cell fate

Loss of muscle stem cell (MuSC) self-renewal with aging reflects a combination of influences from the intracellular (e.g., post-transcriptional modifications) and extracellular (e.g., matrix stiffness) environment. Whereas conventional single cell analyses have revealed valuable insights into factors contributing to impaired self-renewal with age, most are limited by static measurements that fail to capture nonlinear dynamics. Using bioengineered matrices mimicking the stiffness of young and old muscle, we showed that while young MuSCs were unaffected by aged matrices, old MuSCs were phenotypically rejuvenated by young matrices. Dynamical modeling of RNA velocity vector fields in silico revealed that soft matrices promoted a self-renewing state in old MuSCs by attenuating RNA decay. Vector field perturbations demonstrated that the effects of matrix stiffness on MuSC self-renewal could be circumvented by fine-tuning the expression of the RNA decay machinery. These results demonstrate that post-transcriptional dynamics dictate the negative effect of aged matrices on MuSC self-renewal. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/529950v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1a840corg.highwire.dtl.DTLVardef@d354cforg.highwire.dtl.DTLVardef@650556org.highwire.dtl.DTLVardef@41587c_HPS_FORMAT_FIGEXP M_FIG Graphical abstract description: The balance of self-renewal and differentiation in young muscle stem cells (MuSCs) is robust to perturbations of the biophysical microenvironment. In contrast, aged MuSCs are highly sensitive to extrinsic perturbations, and exposure to a youthful microenvironment rejuvenates the self-renewing potential of aged MuSCs by modulating post-transcriptional RNA dynamics. C_FIG

cell biology↗

bioRxiv2023

Robotics-driven manufacturing of cartilaginous microtissues for the bio-assembly of skeletal implants

Automated technologies are attractive for enhancing a robust manufacturing of tissue engineered products for clinical translation. In this work, we present an automation strategy using a robotics platform for media changes of cartilaginous microtissues cultured in static microwell platforms. We use an automated image analysis pipeline to extract microtissue displacements and morphological features, which serve as input for statistical factor analysis. To minimize microtissue displacement and suspension leading to uncontrolled fusion, we performed a mixed factorial DoE on liquid handling parameters for large and small microwell platforms. As a result, 144 images, with 51 471 spheroids could be processed automatically. The automated imaging workflow takes 2 minutes per image, and it can be implemented for on-line monitoring of microtissues, thus allowing informed decision making during manufacturing. We found that time in culture is the main factor for microtissue displacements, explaining 10 % of the displacements. Aspiration and dispension speed were not significant at manual speeds or beyond, with an effect size of 1 %. We defined optimal needle placement and depth for automated media changes and we suggest that robotic plate handling could improve the yield and homogeneity in size of microtissue cultures. After three weeks culture, increased expression of COL2A1 confirmed chondrogenic differentiation and RUNX2 shows no osteogenic specification. Histological analysis showed the secretion of cartilaginous extracellular matrix. Furthermore, microtissue-based implants were capable of forming mineralized tissues and bone after four weeks of ectopic implantation in nude mice. We demonstrate the development of an integrated bioprocess for culturing and manipulation of cartilaginous microtissues. We anticipate the progressive substitution of manual operations with automated solutions for manufacturing of microtissue-based living implants.

bioengineering↗

bioRxiv2022

An integrated single-cell atlas of the skeleton from development through adulthood

The recent growth of single-cell transcriptomics has turned single-cell RNA sequencing (scRNA-seq) into a near-routine experiment. Breakthroughs in improving scalability have led to the creation of organism-wide transcriptomic datasets, aiming to comprehensively profile the cell types and states within an organism throughout its lifecycle. To date, however, the skeleton remains a majorly underrepresented organ system in organism-wide atlases. Considering how the skeleton not only serves as the central framework of the vertebrate body but is also the home of the hematopoietic niche and a central player in major metabolic and homeostatic processes, this presents a major deficit in current reference atlas projects. To address this issue, we integrated ten separate scRNA-seq datasets containing limb skeletal cells and their developmental precursors, generating an atlas of 133 332 cells. This limb skeletal cell atlas describes cells across the mesenchymal lineage from the induction of the limb to the adult bone and encompasses 39 different cell states. Furthermore, expanding the repertoire of available time points and cell types within a single dataset allowed for more complete analyses of cell-cell communication or in silico perturbation studies. Taken together, we present a missing piece in the current atlas mapping efforts, which will be of value to researchers in the fields of skeletal biology, hematopoiesis, metabolism and regenerative medicine.

bioinformatics↗