mouse rankl (R&D Systems)
Structured Review

Mouse Rankl, supplied by R&D Systems, used in various techniques. Bioz Stars score: 95/100, based on 107 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mouse rankl/product/R&D Systems
Average 95 stars, based on 107 article reviews
Images
1) Product Images from "Spatially resolved osteoblast-traced transcriptomics uncovers TGF-β as a combination target with sclerostin in osteoporosis"
Article Title: Spatially resolved osteoblast-traced transcriptomics uncovers TGF-β as a combination target with sclerostin in osteoporosis
Journal: Bone Research
doi: 10.1038/s41413-026-00521-9
Figure Legend Snippet: Dual inhibition of TGF-β and sclerostin increases bone mass in a hindlimb unloading model. a Experimental timeline of hindlimb unloading using C57B1/6 J mice and treatment with TGFβ-Ab, Scl-Ab, or both. Mice euthanized at week 12. b Representative μCT images of femoral diaphysis. c Representative confocal images of trabecular bone showing calcein (green), alizarin (red) signals, and DAPI (blue). Scale bar = 100 μm. d Representative images of TRAP-stained femur sections; violet = TRAP-positive, green = counterstain. Scale bar = 200 μm. e – h Bar plot of trabecular bone volume/total volume (Tra. BV/TV, e ), trabecular thickness (Tb. Th, f ), trabecular separation (Tb. Sp, g ), and trabecular number (Tb. N, h ) from μCT. Data = mean ± standard deviation. i , j Bar plot of mineral apposition rate (Tra. MAR, i ) and trabecular bone formation rate per bone surface (Tra. BFR/BS, j ) from labeling images. Data = mean ± standard deviation k Box plot of TRAP+ osteoclasts per bone surface (OC.N/BS), measured through ImageJ from TRAP-stained slides. l – n Box plot of serum P1NP ( l ) and TRAP ( m ) levels, and RANKL/OPG ratio ( n ). Group sizes: Control ( n = 5), Un_con ( n = 5), Scl-Ab ( n = 6), TGFβ-Ab ( n = 6), and Scl-Ab+TGFβ-Ab ( n = 7). Each point represents an individual mouse. ANOVA was used for statistics; * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.000 1; ns not significant
Techniques Used: Inhibition, Staining, Standard Deviation, Labeling, Control


