A genomics approach in determining nanotopographical effects on MSC phenotype.

Topography and its effects on cell adhesion, morphology, growth and differentiation are well documented. Thus, current advances with the use of nanotopographies offer promising results in the field of regenerative medicine. Studies have also shown nanotopographies to have strong effects on stem cell self-renewal and differentiation. What is less clear however is what mechanotransductive mechanisms are employed by the cells to facilitate such changes. In fastidious cell types, it has been suggested that direct mechanotransduction producing morphological changes in the nucleus, nucleoskeleton and chromosomes themselves may be central to cell responses to topography. In this report we move these studies into human skeletal or mesenchymal stem cells and propose that direct (mechanical) signalling is important in the early stages of tuning stem cell fate to nanotopography. Using fluorescence in situ hybridization (FISH) and Affymetrix arrays we have evidence that nanotopography stimulates changes in nuclear organisation that can be linked to spatially regulated genes expression with a particular focus on phenotypical genes. For example, chromosome 1 was seen to display the largest numbers of gene deregulations and also a concomitant change in nuclear positioning in response to nanotopography. Plotting of deregulated genes in reference to band positioning showed that topographically related changes tend to happen towards the telomeric ends of the chromosomes, where bone related genes are generally clustered. Such an approach offers a better understanding of cell-surface interaction and, critically, provides new insights of how to control stem cell differentiation with future applications in areas including regenerative medicine.

Using nanotopography and metabolomics to identify biochemical effectors of multipotency.

It is emerging that mesenchymal stem cell (MSC) metabolic activity may be a key regulator of multipotency. The metabolome represents a "snapshot" of the stem cell phenotype, and therefore metabolic profiling could, through a systems biology approach, offer and highlight critical biochemical pathways for investigation. To date, however, it has remained difficult to undertake unbiased experiments to study MSC multipotency in the absence of strategies to retain multipotency without recourse to soluble factors that can add artifact to experiments. Here we apply a nanotopographical systems approach linked to metabolomics to regulate plasticity and demonstrate rapid metabolite reorganization, allowing rational selection of key biochemical targets of self-renewal (ERK1/2, LDL, and Jnk). We then show that these signaling effectors regulate functional multipotency.

Nanoscale surfaces for the long-term maintenance of mesenchymal stem cell phenotype and multipotency.

There is currently an unmet need for the supply of autologous, patient-specific stem cells for regenerative therapies in the clinic. Mesenchymal stem cell differentiation can be driven by the material/cell interface suggesting a unique strategy to manipulate stem cells in the absence of complex soluble chemistries or cellular reprogramming. However, so far the derivation and identification of surfaces that allow retention of multipotency of this key regenerative cell type have remained elusive. Adult stem cells spontaneously differentiate in culture, resulting in a rapid diminution of the multipotent cell population and their regenerative capacity. Here we identify a nanostructured surface that retains stem-cell phenotype and maintains stem-cell growth over eight weeks. Furthermore, the study implicates a role for small RNAs in repressing key cell signalling and metabolomic pathways, demonstrating the potential of surfaces as non-invasive tools with which to address the stem cell niche.

Identification of candidate regulators of multipotency in human skeletal progenitor cells.

Stem cell differentiation is controlled intrinsically by dynamic networks of interacting lineage-specifying and multipotency genes. However, the relationship between internal genetic dynamics and extrinsic regulation of internal dynamics is complex and, in the case of skeletal progenitor cell differentiation, incompletely understood. In this study we elucidate a set of candidate markers of multipotency in human skeletal progenitor cells by systematic study of the relationships between gene expression and environmental stimulus. We used full genome cDNA microarrays to explore gene expression profiles in skeletal progenitor enriched populations derived from adult human bone marrow, minimally cultured in basal, osteogenic, chondrogenic, and adipogenic lineage-specifying culture conditions. We then used a variety of statistical clustering procedures to identify a small subset of genes which are related to these stromal lineages but are specific to none. For a selection of 11 key genes, conclusions of the microarray study were confirmed using quantitative real-time PCR.