Regulation of proliferation and differentiation of human fetal bone cells.

During the last decade, extensive research has been performed in the field of orthopedic medicine to develop cell-based therapies for the restoration of injured bone tissue. We previously demonstrated that human primary fetal bone cells (HFBCs) associated with porous scaffolds induced a bone formation in critical calvaria defect; however, the environmental factors regulating their behavior in culture have not been identified. HFBCs (human fetal femur,12 week development) were compared to marrow-derived human mesenchymal stem cells (HMSCs) for their capacity to proliferate and differentiate into osteoblasts under various culture conditions. When cultured in standard alphaMEM medium, PDGF and FGF-2 increased cell proliferation of both cell types. Investigation of the differentiating capacity of HFBCs and HMSCs in a normal culture medium indicated that HFBCs expressed higher expression levels of RUNX2, OSX, and osteogenic markers compared with HMSCs, while SOX9 was expressed at very low levels in both cells types. However, HMSCs, but not HFBCs enhanced osteoblastic markers in response to osteogenic factors. Surprisingly, BMP-2 with osteogenic factors increased cell numbers and reduced osteoblastic differentiation in HFBCs with the opposite effect seen in HMSCs. Associated with a higher expression of osteoblastic markers, HFBCs produced a higher calcified extra cellular matrix compared with HMSCs. Taken together, data presented in this study suggest that HFBCs have characteristics of osteoprecursor cells that are more advanced in their osteogenesis development compared with mesenchymal stem cells, making fetal cells an interesting biological tool for treatment of skeletal defects and diseases.

Density-based hierarchical clustering of pyro-sequences on a large scale--the case of fungal ITS1.

MOTIVATION: Analysis of millions of pyro-sequences is currently playing a crucial role in the advance of environmental microbiology. Taxonomy-independent, i.e. unsupervised, clustering of these sequences is essential for the definition of Operational Taxonomic Units. For this application, reproducibility and robustness should be the most sought after qualities, but have thus far largely been overlooked. RESULTS: More than 1 million hyper-variable internal transcribed spacer 1 (ITS1) sequences of fungal origin have been analyzed. The ITS1 sequences were first properly extracted from 454 reads using generalized profiles. Then, otupipe, cd-hit-454, ESPRIT-Tree and DBC454, a new algorithm presented here, were used to analyze the sequences. A numerical assay was developed to measure the reproducibility and robustness of these algorithms. DBC454 was the most robust, closely followed by ESPRIT-Tree. DBC454 features density-based hierarchical clustering, which complements the other methods by providing insights into the structure of the data. AVAILABILITY: An executable is freely available for non-commercial users at ftp://ftp.vital-it.ch/tools/dbc454. It is designed to run under MPI on a cluster of 64-bit Linux machines running Red Hat 4.x, or on a multi-core OSX system. CONTACT: dbc454@vital-it.ch or nicolas.guex@isb-sib.ch.