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Purified anti-human CD81 (TAPA-1) Antibody

Pricing & Availability
Clone
5A6 (See other available formats)
Regulatory Status
RUO
Other Names
S5.7, CVID6, TSPAN28
Isotype
Mouse IgG1, κ
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Product Citations
publications
5A6_PE_080410
Human peripheral blood lymphocytes stained with purified CD81 (5A6) conjugated with PE
  • 5A6_PE_080410
    Human peripheral blood lymphocytes stained with purified CD81 (5A6) conjugated with PE
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349501 25 µg 44€
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349502 100 µg 109€
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Description

CD81 is a 26 kD non-glycosylated member of the tetraspanin superfamily (TM4SF), also known as TAPA-1 (target of an antiproliferative antibody). CD81 is expressed on T and B cells, NK cells, monocytes, dendritic cells, thymocytes, endothelial cells, and fibroblasts. It also has low levels of expression on granulocytes. CD81 induces B cell adhesion via VLA-4 integrin and has been shown to play a role in early T cell development. CD81 associates with several other cell-surface proteins in a multimolecular complex, including CD19, CD21, CD20, CD37, CD53, and CD82 in B cells, and CD4, CD8, and CD82 in T cells.

Product Details
Technical Data Sheet (pdf)

Product Details

Verified Reactivity
Human
Reported Reactivity
African Green, Baboon, Cynomolgus, Rhesus
Antibody Type
Monoclonal
Host Species
Mouse
Immunogen
Human OCI-LY8 cell line
Formulation
Phosphate-buffered solution, pH 7.2, containing 0.09% sodium azide.
Preparation
The antibody was purified by affinity chromatography.
Concentration
0.5 mg/ml
Storage & Handling
The antibody solution should be stored undiluted between 2°C and 8°C.
Application

FC - Quality tested
WB, IP - Reported in the literature, not verified in house
Recommended Usage

Each lot of this antibody is quality control tested by immunofluorescent staining with flow cytometric analysis. For flow cytometric staining, the suggested use of this reagent is ≤0.5 µg per million cells in 100 µl volume. It is recommended that the reagent be titrated for optimal performance for each application.

Application Notes

Additional reported applications (for the relevant formats) include: Western Blotting3 and immunoprecipitation2,3.

Application References
  1. Van Zelm MC, et al. 2010. J. Clin. Invest. 120:1265.
  2. Oren R, et al. 1990. Mol. Cell. Biol. 8:4007. (IP)
  3. Clark K, et al. 2004. J. Biol. Chem. 279(19):19401. (IP, WB)
  4. Mochida K, et al. 2008. J. Virol. 13:6711.
  5. Rappa G, et al. 2014. Mol Cancer Res. 12:1840. PubMed
Product Citations
  1. Shi C, et al. 2019. FASEB J. 33:1617. PubMed
  2. Ma Y, et al. 2021. Sci Rep. 11:13471. PubMed
  3. Ciftci Dede E, et al. 2023. PLoS One. 18:e0282238. PubMed
  4. Mascarau R, et al. 2023. J Cell Biol. 222:. PubMed
  5. Vrancx C, et al. 2021. Mol Neurobiol. 58:6647. PubMed
  6. Alcántara‐Hernández M et al. 2017. Immunity. 47(6):1037-1050 . PubMed
  7. Rodriguez L, et al. 2020. Cell Reports Medicine. 1(5):100078. PubMed
  8. Chetty VK, et al. 2022. Cancers (Basel). 14:. PubMed
  9. Desjardins P, et al. 2022. Int J Mol Sci. 23:. PubMed
  10. Porter RL, et al. 2022. J Clin Invest. :. PubMed
  11. van der Heide V, et al. 2022. Cell Rep. :110508. PubMed
  12. Alcántara-Hernández M, et al. 2021. Nat Protoc. 16:4855. PubMed
  13. Ter-Ovanesyan D, et al. 2021. Elife. 10:. PubMed
  14. Nakai W, et al. 2016. Sci Rep. 6: 33935. PubMed
  15. Araki Y, et al. 2021. Front Oncol. 11:667109. PubMed
  16. Lim K, et al. 2021. J Extracell Vesicles. 10:e12170. PubMed
  17. Zheng W, et al. 2022. Nat Biomed Eng. 6:979. PubMed
  18. Rappa G, et al. 2014. Mol Cancer Res. 12:1840. PubMed
  19. Bachurski D, et al. 2019. J Extracell Vesicles. 8:1596016. PubMed
  20. Lobastova L, et al. 2021. Frontiers in Cell and Developmental Biology. 9:698503. PubMed
  21. Shi C, et al. 2020. Biomedicines. 8:00. PubMed
  22. Kennedy-Darling J, et al. 2021. Eur J Immunol. 51:1262. PubMed
  23. You Y, et al. 2022. J Extracell Vesicles. 11:e12183. PubMed
  24. Menck K, et al. 2017. J Extracell Vesicles. 10.1080/20013078.2017.1340745. PubMed
  25. Dörsam B, et al. 2018. Front Immunol. 7:e34961. PubMed
  26. Leylek R, et al. 2020. Cell Rep. 32:108180. PubMed
RRID
AB_10642023 (BioLegend Cat. No. 349501)
AB_10642023 (BioLegend Cat. No. 349502)

Antigen Details

Structure
26 kD, type III transmembrane protein, member of the TM4SF tetraspanin family. Complexed with CD82, CD19, CD21, or CD4, CD8.
Distribution

T cells, NK, monocytes, B cells, endothelial and epithelial cells, low on granulocytes.

Function
Regulates cell activation and growth and cell aggregation.
Cell Type
B cells, Endothelial cells, Epithelial cells, Monocytes, Neural Stem Cells, NK cells, T cells
Biology Area
Cell Biology, Immunology, Neuroscience, Neuroscience Cell Markers, Signal Transduction, Stem Cells, Transcription Factors
Molecular Family
Adhesion Molecules, CD Molecules
Antigen References
  1. Van Zelm MC, et al. 2010. J. Clin. Invest. 120:1265.
  2. Fearon D, et al. 1995. Annu. Rev. Immunol. 13:127.
  3. Wright M, et al. 1994. Immunol. Today 15:588.
Gene ID
975 View all products for this Gene ID
UniProt
View information about CD81 on UniProt.org

Related FAQs

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Go To Top Version: 4    Revision Date: 08/30/2022

For Research Use Only. Not for diagnostic or therapeutic use.

 

This product is supplied subject to the terms and conditions, including the limited license, located at www.biolegend.com/terms) ("Terms") and may be used only as provided in the Terms. Without limiting the foregoing, BioLegend products may not be used for any Commercial Purpose as defined in the Terms, resold in any form, used in manufacturing, or reverse engineered, sequenced, or otherwise studied or used to learn its design or composition without express written approval of BioLegend. Regardless of the information given in this document, user is solely responsible for determining any license requirements necessary for user’s intended use and assumes all risk and liability arising from use of the product. BioLegend is not responsible for patent infringement or any other risks or liabilities whatsoever resulting from the use of its products.

 

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This data display is provided for general comparisons between formats.
Your actual data may vary due to variations in samples, target cells, instruments and their settings, staining conditions, and other factors.
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