Unknown,Transcriptomics,Genomics,Proteomics

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High content imaging in the screening of biomaterial-induced MSC behavior

ABSTRACT: Upon contact with a biomaterial, cells and surrounding tissues respond in a manner dictated by the physicochemical and mechanical properties of the material. Traditionally, cellular responses are monitored using invasive analytical methods that report the expression of genes or proteins. These analytical methods involve assessing commonly used markers for a predefined readout, masking the actual situation induced in the cells. Hence, a broader expression profile of the cellular response should be envisioned, which technically limits up scaling to higher throughput systems. However, it is increasingly recognized that morphometric readouts, obtained non-invasively, are related to gene expression patterns. Here, we introduced distinct surface roughness to three PLA surfaces, by exposure to oxygen plasma of different duration times. The response of mesenchymal stromal cells was compared to smooth untreated PLA surfaces without the addition of differentiation agents. Morphological and genome wide expression profiles revealed underlying cellular changes which was hidden for the commonly used gene markers for osteo-, chondro- and adipogenesis. Using 3 morphometric parameters, obtained by high content imaging, we were able to build a classifier and discriminate between oxygen plasma-induced modified sheets and non-modified PLA sheets where evaluating classical candidates missed this effect. This approach shows the feasibility to use noninvasive morphometric data in high-throughput systems to screen biomaterial surfaces indicating the underlying genetic biomaterial-induced changes.

ORGANISM(S): Homo sapiens

SUBMITTER: Dennie Hebels

PROVIDER: E-MTAB-7352 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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High content imaging in the screening of biomaterial-induced MSC behavior.

Unadkat H V HV Groen N N Doorn J J Fischer B B Barradas A M C AM Hulsman M M van de Peppel J J Moroni L L van Leeuwen J P JP Reinders M J T MJ van Blitterswijk C A CA de Boer J J

Biomaterials 20121123 5

Upon contact with a biomaterial, cells and surrounding tissues respond in a manner dictated by the physicochemical and mechanical properties of the material. Traditionally, cellular responses are monitored using invasive analytical methods that report the expression of genes or proteins. These analytical methods involve assessing commonly used markers for a predefined readout, masking the actual situation induced in the cells. Hence, a broader expression profile of the cellular response should b ...[more]

PMID: 23182347

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Project description:Tissue response following implantation determines the success of the healing process. This response is not only dependent on the chemical properties of the implant surface but also by the surface topography or its roughness. Although in vitro and in vivo studies show improved results with rough- and fluoride-modified implants, the mechanisms behind these findings are still unknown. Here, we have used a two step procedure to identify novel genes related to the early cell response of primary human osteoblasts to roughness and fluoride-modified titanium implants. 217 genes were identified by microarray analysis as response genes to roughness and 198 genes as response genes to fluoride. 11 of these identified genes have been related to bone and mineralization and were further investigated by real-time RT-PCR. After one day of culture, TLR3, ANKH, DCN, OC and RUNX2 were classified as responsive genes to roughness; DLX2 and TUFT1 as responsive genes to fluoride treatment. COLL-I, PTHLH, HES1, FST, ENPP1 and THRA as responsive genes to both, roughness and fluoride treatment. In conclusion, our strategy was useful for identifying novel genes that might be involved in the early response of osteoblasts to roughness and fluoride treatment of titanium implants. Tissue response following implantation determines the success of the healing process. This response is not only dependent on the chemical properties of the implant surface but also by the surface topography or its roughness. Although in vitro and in vivo studies show improved results with rough- and fluoride-modified implants, the mechanisms behind these findings are still unknown. Here, we have used a two step procedure to identify novel genes related to the early cell response of primary human osteoblasts to roughness and fluoride-modified titanium implants. 217 genes were identified by microarray analysis as response genes to roughness and 198 genes as response genes to fluoride. 11 of these identified genes have been related to bone and mineralization and were further investigated by real-time RT-PCR. After one day of culture, TLR3, ANKH, DCN, OC and RUNX2 were classified as responsive genes to roughness; DLX2 and TUFT1 as responsive genes to fluoride treatment. COLL-I, PTHLH, HES1, FST, ENPP1 and THRA as responsive genes to both, roughness and fluoride treatment. In conclusion, our strategy was useful for identifying novel genes that might be involved in the early response of osteoblasts to roughness and fluoride treatment of titanium implants. Human osteoblasts were cultured for 24 hours on titanium disks modified either with polished surfaces (P), grit-blasted surfaces (GB), or grit-blasted High Fluor treated surfaces (GB-HF). After 24 hours of culture RNA was isolated. 3 arrays were hybridized, one with the isolated RNA from cells cultured on titanium polished surfaces (P), one with the isolated RNA from cells cultured on titanium grit-blasted surfaces (GB) and one with the isolated RNA from cells cultured on titanium grit-blasted HF treated surfaces (GB-HF).

Dataset Information

High content imaging in the screening of biomaterial-induced MSC behavior

Publications

High content imaging in the screening of biomaterial-induced MSC behavior.

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