mAbs Against HUMAN Protein
EMA
| STATUS: | |
|---|---|
| CONTACT INFORMATION: | University of Oxford marketed by Ximbio.com |
| TYPE: | mouse anti human |
| CLONE NAME: | E29 |
| PROTEIN: | Epithelial Membrane Antigen (EMA) |
| PROTEIN WEB: | https://www.omim.org/entry/158340 |
| ANTIGEN USED: | Human milk fat globule membrane preparation |
| FUSION PARTNER: | P3/NS1/1-Ag4.1 |
| ISOTYPE: | IgG2a |
| SPECIES REACTIVITY: | Human |
| PREPARATION AND STORAGE: | Aliquot and store at 4C. Do not freeze |
| COMMERCIALIZED BY: | Ximbio.com |
| APP RECOMMENDED: | IHC WB |
Description
Glycoproteins isolated from human milk fat globule membranes, designated epithelial membrane antigen (EMA), have been detected immunohistochemically in most nonneoplastic epithelia and are potentially a highly effective marker for establishing the epithelial nature of neoplastic cells.
Publication describing antibody characterization/validation
Br J Cancer. 1985 Sep;52(3):347-54.
Production of monoclonal antibodies against human epithelial membrane antigen for use in diagnostic immunocytochemistry.
Cordell J, Richardson TC, Pulford KA, Ghosh AK, Gatter KC, Heyderman E, Mason DY.
PMID: 3899155
https://www.ncbi.nlm.nih.gov/pubmed/3899155
Applications
| IHC Techniques | Clone | Dilution | Antibody concentration | Antigen retrieval method | Visualization kit | +/- control | Protein localization | Positivity in other species | Protocol |
|---|---|---|---|---|---|---|---|---|---|
| Frozen tissue and cytospins | |||||||||
| Paraffin tissue | |||||||||
| E29 | neat | supernatant | Tris EDTA | Dako Envision | Tonsil / | ||||
| Immunofluorescence | |||||||||
Enlarge image
- E29 Tonsil
- Tonsil stained with neat supernatant from E29 hybridoma, detection using Dako Envision kit, 4x power image
Enlarge image
- E29 Tonsil
- Tonsil stained with neat supernatant from E29 hybridoma, detection using Dako Envision kit, 10x power image
Enlarge image
- E29 Tonsil
- Tonsil stained with neat supernatant from E29 hybridoma, detection using Dako Envision kit, 20x power image