Ribosomal Protein L17 Polyclonal Antibody
- SPECIFICATION
- CITATIONS
- PROTOCOLS
- BACKGROUND
 
| Application  
 | WB, IHC-P | 
|---|---|
| Primary Accession | P18621 | 
| Reactivity | Human, Mouse, Rat, Monkey | 
| Host | Rabbit | 
| Clonality | Polyclonal | 
| Calculated MW | 21397 Da | 
| Gene ID | 6139 | 
|---|---|
| Other Names | RPL17; 60S ribosomal protein L17; 60S ribosomal protein L23; PD-1 | 
| Dilution | WB~~Western Blot: 1/500 - 1/2000. Immunohistochemistry: 1/100 - 1/300. ELISA: 1/10000. Not yet tested in other applications. IHC-P~~N/A | 
| Format | Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.09% (W/V) sodium azide. | 
| Storage Conditions | -20℃ | 
| Name | RPL17 | 
|---|---|
| Function | Component of the large ribosomal subunit (PubMed:12962325, PubMed:23636399, PubMed:32669547). The ribosome is a large ribonucleoprotein complex responsible for the synthesis of proteins in the cell (PubMed:12962325, PubMed:23636399, PubMed:32669547). | 
| Cellular Location | Cytoplasm. | 
| Tissue Location | Expressed in pancreas, lung, colon, cystic duct, gall bladder, kidney and liver. Expressed at high levels in the well differentiated pancreatic tumor cell lines HPAF, COLO 357 and Capan-1, the moderately differentiated pancreatic tumor cell lines T3M-4, AsPc-1 and BxPc-3, the poorly differentiated pancreatic tumor cell line MIA PaCa-2, and the pancreatic tumor cell lines of undefined differentiation status such as SW979. Expressed at lower levels in the poorly differentiated pancreatic tumor cell lines HCG-25 and PANC-1 | 

Thousands of laboratories across the world have published research that depended on the performance of antibodies from Abcepta to advance their research. Check out links to articles that cite our products in major peer-reviewed journals, organized by research category.
info@abcepta.com, and receive a free "I Love Antibodies" mug.
Provided below are standard protocols that you may find useful for product applications.
Background
Component of the large ribosomal subunit.

If you have used an Abcepta product and would like to share how it has performed, please click on the "Submit Review" button and provide the requested information. Our staff will examine and post your review and contact you if needed.
If you have any additional inquiries please email technical services at tech@abcepta.com.




 
 
                                 
                                 
                                

 
                                         
                                        
 
                                         
                                         
                                         Foundational characteristics of cancer include proliferation, angiogenesis, migration, evasion of apoptosis, and cellular immortality. Find key markers for these cellular processes and antibodies to detect them.
Foundational characteristics of cancer include proliferation, angiogenesis, migration, evasion of apoptosis, and cellular immortality. Find key markers for these cellular processes and antibodies to detect them. The SUMOplot™ Analysis Program predicts and scores sumoylation sites in your protein. SUMOylation is a post-translational modification involved in various cellular processes, such as nuclear-cytosolic transport, transcriptional regulation, apoptosis, protein stability, response to stress, and progression through the cell cycle.
The SUMOplot™ Analysis Program predicts and scores sumoylation sites in your protein. SUMOylation is a post-translational modification involved in various cellular processes, such as nuclear-cytosolic transport, transcriptional regulation, apoptosis, protein stability, response to stress, and progression through the cell cycle. The Autophagy Receptor Motif Plotter predicts and scores autophagy receptor binding sites in your protein. Identifying proteins connected to this pathway is critical to understanding the role of autophagy in physiological as well as pathological processes such as development, differentiation, neurodegenerative diseases, stress, infection, and cancer.
The Autophagy Receptor Motif Plotter predicts and scores autophagy receptor binding sites in your protein. Identifying proteins connected to this pathway is critical to understanding the role of autophagy in physiological as well as pathological processes such as development, differentiation, neurodegenerative diseases, stress, infection, and cancer. 
        




