Osteopontin (OPN) Human ELISA Kit (DEIA4743)

Regulatory status: For research use only, not for use in diagnostic procedures.

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body fluids, cell culture supernatant, plasma, serum, tissues lysates, urine
Species Reactivity
Intended Use
For quantitative detection of human OPN in sera, plasma, urine, body fluids, tissue lysates or cell culture supernates.
Contents of Kit
1. Lyophilized recombinant human OPN standard: 10 ng/tube×2.
2. One 96-well plate precoated with anti- human OPN antibody.
3. Sample diluent buffer: 30 mL
4. Biotinylated anti- human OPN antibody : 130 μl, dilution 1:100.
5. Antibody diluent buffer: 12 mL.
6. Avidin-Biotin-Peroxidase Complex (ABC) : 130 μl, dilution 1:100.
7. ABC diluent buffer: 12 mL.
8. TMB color developing agent: 10 mL.
9. TMB stop solution: 10 mL.
Store the unopened kit at 4°C upon receipt and when it is not in use. For more detailed information, please download the following document on our website.
Detection Range
156 pg/mL-10,000 pg/mL


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Distinct roles of mesenchymal stem and progenitor cells during the development of acute myeloid leukemia in mice


Authors: Xiao, Pingnan; Sandhow, Lakshmi; Heshmati, Yaser; Kondo, Makoto; Bouderlique, Thibault; Dolinska, Monika; Johansson, Anne-Sofie; Sigvardsson, Mikael; Ekblom, Marja; Walfridsson, Julian; Qian, Hong

Despite increasing evidence for the involvement of bone marrow (BM) hematopoietic stem cell niche in leukemogenesis, how BM mesenchymal stem and progenitor cells (MSPCs) contribute to leukemia niche formation and progression remains unclear. Using an MLL-AF9 acute myeloid leukemia (AML) mouse model, we demonstrate dynamic alterations of BM cellular niche components, including MSPCs and endothelial cells during AML development and its association with AML engraftment. Primary patient AML cells also induced similar niche alterations in xenografted mice. AML cell infiltration in BM causes an expansion of early B-cell factor 2(+) (Ebf2(+)) MSPCs with reduced Cxcl12 expression and enhanced generation of more differentiated mesenchymal progenitor cells. Importantly, in vivo fate-mapping indicates that Ebf2(+) MSPCs participated in AML niche formation. Ebf2(+)cell deletion accelerated the AML development. These data suggest that native BM MSPCs may suppress AML. However, they can be remodeled by AML cells to form leukemic niche that might contribute to AML progression. AML induced dysregulation of hematopoietic niche factors like Angptl1, Cxcl12, Kitl, Il6, Nov, and Spp1 in AML BM MSPCs, which was associated with AML engraftment and partially appeared before the massive expansion of AML cells, indicating the possible involvement of the niche factors in AML progression. Our study demonstrates distinct dynamic features and roles of BM MSPCs during AML development.

Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis


Authors: Zhu, Yiming; Shi, Liang; Chen, Ping; Zhang, Yingli; Zhu, Tao

Background Endometrial carcinoma (EC) is the most common gynecological malignant tumors which poses a serious threat to women health. This study aimed to screen the candidate genes differentially expressed in EC by bioinformatics analysis. Methods GEO database and GEO2R online tool were applied to screen the differentially expressed genes (DEGs) of EC from the microarray datasets. Protein-protein interaction (PPI) network for the DEGs was constructed to further explore the relationships among these genes and identify hub DEGs. Gene ontology and KEGG enrichment analyses were performed to investigate the biological role of DEGs. Besides, correlation analysis, genetic alteration, expression profile, and survival analysis of these hub DEGs were also investigated to further explore the roles of these hub gene in mechanism of EC tumorigenesis. qRT-PCR analysis was also performed to verify the expression of identified hub DEGs. Results A total of 40 DEGs were screened out as the DEGs with 3 upregulated and 37 downregulated in EC. The gene ontology analysis showed that these genes were significantly enriched in cell adhesion, response to estradiol, and growth factor activity, etc. The KEGG pathway analysis showed that DEGs were enriched in focal adhesion, leukocyte transendothelial migration, PI3K-Akt signaling pathway, and ECM-receptor interaction pathway. More importantly, COL1A1, IGF1, COL5A1, CXCL12, PTEN, and SPP1 were identified as the hub genes of EC. The genetic alteration analysis showed that hub genes were mainly altered in mutation and deep deletion. Expression validation by bioinformatic analysis and qRT-PCR also proved the expression of these six hub genes were differentially expressed in EC. Additionally, significantly better overall survival and disease-free survival were observed with six hub genes altered, and survival outcome in high expression of COL1A1, IGF1, and PTEN patients was also significantly better than low expression patients. Conclusions COL1A1, IGF1, COL5A1, CXCL12, PTEN, and SPP1 involved in the pathogenesis of EC and might be candidate genes for diagnosis of EC.

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