Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Pivot Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Target Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Query: EC:6.3.5.5 (
CPS
)
1,262
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
Silicate bioceramics have been shown to possess excellent cytocompatibility and osteogenic activity, but the exact mechanism is still unclear. Protein adsorption is the first event taking place at the biomaterial-tissue interface, which is vital to the subsequent cellular behavior and further influence the biomaterial-tissue interaction. In this work, the protein adsorption behavior of a novel
CPS
bioceramic was evaluated using the proteomics technology. The results showed that
CPS
adsorbed more amount and types of serum proteins than HA. FN1 and IGF1 proteins selected from proteomics results were validated by Western-blot experiment. Pathway analysis also revealed mechanistic insights how these absorbed proteins by
CPS
help mediate cell adhesion and promotes osteogenic activity. Firstly, the dramatically enhanced adsorption of FN1 could greatly promote cell adhesion and growth. Secondly, IGF1 was uniquely adsorbed on
CPS
bioceramic and IGF1 could activate Rap1 signaling pathway to promote cell adhesion. Thirdly, the increased adsorption of FN1, IGF1 and
COL1A2
proteins on
CPS
explains its better ability on bone regeneration than HA. Fourthly, the increased adsorption of IGF1, CHAD, COL2A1 and THBS4 proteins on
CPS
explains its ability on cartilage formation. Lastly, the increased adsorption of immunological related proteins on
CPS
may also play a positive role in bone regeneration. In addition,
CPS
had a much better cell adhesion ability than HA, proving that more adsorbed proteins really had a positive effect on cell behavior. The more adsorbed proteins on
CPS
than HA might indicated a better bone regeneration rate at early stage of implantation.
...
PMID:Advanced protein adsorption properties of a novel silicate-based bioceramic: A proteomic analysis. 3291 29