osteomiR - microRNA Biomarkers
|Method:||RT-qPCR, relative quantification without standard curve|
|Kit content:||RNA extraction kit, cDNA synthesis and qPCR reagents, primer-coated qPCR plates, software|
|Kit size:||for 48 samples*|
|Sample type:||Serum, plasma (EDTA)|
|Control:||optional: reference serum available on request|
|Sample size:||200 µl serum or plasma required|
|Incubation time:||sample to data in 8 hours with 2 hours hands-on time|
|Result read-out:||The osteomiR™ software uses a proprietary algorithm to convert the individual miRNA data into a single fracture-risk score for the diagnosis of osteoporosis|
*): The standardized kit results in a specific osteomiR™ signature. 19 miRNAs will be analysed for each sample resulting in 912 data points in total.
LOD: 10 copies/µl (6 replicates, 95% positive detection); LLOQ: 35 copies/µl
Intra-assay (n=6) ≤ 20%, Inter-assay (n=3) ≤ 20%
The mean dilution linearity of synthetic controls in human serum samples yields an R² of 0.99 over 6 logs (Cq-range from 20 to 35).
Link to Species cross reactivity
Upon request, customized-assays for complete coverage of rodent or primate osteomiRs can be designed.
Service analysis: we can measure for you. Click link to get your personal customized service quotation.
INSTRUCTIONS FOR USE
Click link for:
Cost-utility analysis of fracture risk assessment using microRNAs compared with standard tools and no monitoring in the Austrian female population
E. Walter, H. Dellago, J. Grillari, H.P. Dimai, M. Hackl
Bone, Volume 108, 2018, pages 44-54.
Click link for: osteomiR™ key publications
Differentially circulating miRNAs after recent osteoporotic fractures can influence osteogenic differentiation.
Weilner S, Skalicky S, Salzer B, Keider V, Wagner M, Hildner F, Gabriel C, Dovjak P, Pietschmann P, Grillari-Voglauer R, Grillari J, Hackl M.
Bone 2015; 79: 43 –51.
Secreted microvesicular miR-31 inhibits osteogenic differentiation of mesenchymal stem cells.Aging Cell 2016; 1–11.Circulating microRNAs as novel biomarkers for bone diseases–complex signatures for multifactorial diseases?Hackl M, Heilmeier U, Weilner S, Grillari J. Mol Cell Endocrinol 2015; 432: 83-95.Serum microRNAs are indicative of skeletal fractures in postmenopausal women with and without type-2 diabetes and influence osteogenic and adipogenic differentiation of adipose-tissue derived mesenchymal stem cells in vitro.J Bone Miner Res 2016 Jun 27.Circulating microRNA signatures in patients with idiopathic and postmenopausal osteoporosis and fragility fractures. J Clin Endocrinol Metab. 2016 Aug 23.Jing D, Hao J, Shen Y, Li ML, Huang SH, Zhao Z.The role of microRNAs in bone remodeling.Int J Oral Sci 2015:131–43