APC/Cyanine7 anti-mouse CD86 Antibody

Pricing & Availability
Clone
GL-1 (See other available formats)
Regulatory Status
RUO
Other Names
B7-2, B70, Ly-58
Isotype
Rat IgG2a, κ
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Product Citations
publications
GL-1_APCslashCy7_042110
LPS-stimulated (3 days) C57BL/6 splenocytes stained with GL-1 APC/Cyanine7
  • GL-1_APCslashCy7_042110
    LPS-stimulated (3 days) C57BL/6 splenocytes stained with GL-1 APC/Cyanine7
Compare all formats See APC/Cyanine7 spectral data
Cat # Size Price Quantity Check Availability Save
105029 25 µg 81€
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105030 100 µg 231€
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Description

CD86 is an 80 kD immunoglobulin superfamily member also known as B7-2, B70, and Ly-58. CD86 is expressed on activated B and T cells, macrophages, dendritic cells, and astrocytes. CD86, along with CD80, is a ligand of CD28 and CD152 (CTLA-4). CD86 is expressed earlier in the immune response than CD80. CD86 has also been shown to be involved in immunoglobulin class-switching and triggering of NK cell-mediated cytotoxicity. CD86 binds to CD28 to transduce co-stimulatory signals for T cell activation, proliferation, and cytokine production. CD86 can also bind to CD152, also known as CTLA-4, to deliver an inhibitory signal to T cells.

Product Details
Technical Data Sheet (pdf)

Product Details

Verified Reactivity
Mouse
Antibody Type
Monoclonal
Host Species
Rat
Immunogen
LPS-activated CBA/Ca mouse splenic B cells
Formulation
Phosphate-buffered solution, pH 7.2, containing 0.09% sodium azide.
Preparation
The antibody was purified by affinity chromatography and conjugated with APC/Cyanine7 under optimal conditions.
Concentration
0.2 mg/ml
Storage & Handling
The antibody solution should be stored undiluted between 2°C and 8°C, and protected from prolonged exposure to light. Do not freeze.
Application

FC - Quality tested

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 ≤0.25 µg per million cells in 100 µl volume. It is recommended that the reagent be titrated for optimal performance for each application.

Excitation Laser
Red Laser (633 nm)
Application Notes

The GL-1 antibody can block the mixed lymphocyte reaction in vitro and has been shown to inhibit the priming of cytotoxic T lymphocytes in vivo (along with antibodies against B7-1). Additional reported applications (for the relevant formats) include: immunoprecipitation1, immunohistochemical staining of acetone-fixed frozen sections2,6, immunofluorescence microscopy, and in vivo and in vitro blocking of T cell responses1-6. GL-1 is not suitable for immunohistochemical staining of formalin-fixed paraffin sections. The Ultra-LEAF™ purified antibody (Endotoxin < 0.01 EU/µg, Azide-Free, 0.2 µm filtered) is recommended for functional assays (Cat. No. 105051-105056).

Application References
  1. Hathcock KS, et al. 1993. Science 262:905. (Block, IP)
  2. Inaba KM, et al. 1994. J. Exp. Med. 180:1849. (Block, IHC)
  3. Hathcock KS, et al. 1994. J. Exp. Med. 180:631. (Block)
  4. Krummel MF, et al. 1995. J. Exp. Med. 182:459. (Block)
  5. Liu Y, et al. 1997. J. Exp. Med. 185:251. (Block)
  6. Herold KC, et al. 1997. J. Immunol. 158:984. (Block, IHC)
  7. Shih FF, et al. 2006. J. Immunol. 176:3438. (FC)
  8. Lawson BR, et al. 2007. J. Immunol. 178:5366.
  9. Turnquist HR, et al. 2007. J. Immunol. 178:7018.
  10. Klinger MB, et al. 2007. Am. J. Physiol. Requl. Integr. Comp. Physiol. 293:R677. PubMed
  11. de Verteuil DA, et al. 2014. J Immunol. 193:1121. PubMed
Product Citations
  1. Sagnella SM, et al. 2020. Cancer Cell. 37(3):354-370. PubMed
  2. Bajaj R, et al. 2022. Cell Rep. 40:111429. PubMed
  3. Ho HM, et al. 2022. Pharmaceutics. 14:. PubMed
  4. Wu Z, et al. 2023. EMBO Rep. 24:e56524. PubMed
  5. Hao H, et al. 2023. Nat Biomed Eng. . PubMed
  6. Kaur N, et al. 2023. Heliyon. 9:e14952. PubMed
  7. Wang X, et al. 2023. Stem Cell Rev Rep. . PubMed
  8. Leung G, et al. 2021. JCI Insight. 6:. PubMed
  9. Fan L, et al. 2020. J Immunol Res. 2020:3032425. PubMed
  10. Fang C, et al. 2022. J Pathol. 256:310. PubMed
  11. Blanco LP, et al. 2022. Arthritis Rheumatol. 74:1971. PubMed
  12. Que W, et al. 2022. Sci Adv. 8:eabo4413. PubMed
  13. Liu LW, et al. 2023. Br J Pharmacol. 180:647. PubMed
  14. Gogoi H, et al. 2020. Front Immunol. 1.620833333. PubMed
  15. Bruand M, et al. 2021. Cell Reports. 36(3):109412. PubMed
  16. Farsakoglu Y et al. 2019. Cell reports. 26(9):2307-2315 . PubMed
  17. Chou YJ, et al. 2020. Sci Rep. 10:8422. PubMed
  18. Dong L, et al. 2021. Cancer Cell. . PubMed
  19. Yuzhu Hou et al. 2018. Immunity. 49(3):490-503 . PubMed
  20. Ma C, et al. 2021. Signal Transduct Target Ther. 6:353. PubMed
  21. Wang F, et al. 2018. EBioMedicine. 30:303. PubMed
  22. Bode K, et al. 2020. Cell Reports. 29(13):4435-4446.e9.. PubMed
  23. Collinson-Pautz M, et al. 2016. PLoS One. 11:e0164547. PubMed
  24. Mansouri S, et al. 2021. J Immunol. 206:2233. PubMed
  25. Tan X, et al. 2021. Sci Adv. 7: . PubMed
  26. White C, et al. 2015. J Immunol. 194:697. PubMed
  27. Bachy S, et al. 2022. iScience. 25:103758. PubMed
  28. Seki T, et al. 2015. J Biochem. 158: 485 - 495. PubMed
  29. Yang BH, et al. 2020. Cell Reports. 27(12):3629-3645.e6.. PubMed
  30. Dudeck J, et al. 2019. J Allergy Clin Immunol. 143:1849. PubMed
  31. Kelly SH, et al. 2021. ACS Biomater Sci Eng. 7:1876. PubMed
  32. Ryan NM, et al. 2022. Front Immunol. 13:932742. PubMed
  33. Nowak W, et al. 2020. EBioMedicine. 50:290-305.. PubMed
  34. Nabet BY et al. 2017. Cell. 170(2):352-366 . PubMed
  35. Yuan M, et al. 2022. Oxid Med Cell Longev. 2022:5479491. PubMed
  36. Weinstock NI, et al. 2020. Neuron. 107(1):65-81. PubMed
  37. Li Z, et al. 2020. J Immunol. 2589:204. PubMed
  38. Chavez-Santoscoy A, et al. 2012. J Vis Exp. 64: 3883. PubMed
  39. Wang Y, et al. 2020. Vaccines (Basel). 8:. PubMed
  40. Mansouri S, et al. 2021. J Immunol. 206:2233. PubMed
  41. Chng S, et al. 2016. Sci Rep. 6: 23820. PubMed
RRID
AB_2074993 (BioLegend Cat. No. 105029)
AB_2074993 (BioLegend Cat. No. 105030)

Antigen Details

Structure
Ig superfamily, 80 kD
Distribution

B cells and T cells (upregulated upon activation), macrophages, dendritic cells, and astrocytes

Function
T cell costimulation, Ig class-switching, NK cell cytotoxicity
Ligand/Receptor
CD28, CD152 (CTLA-4)
Cell Type
Astrocytes, B cells, Dendritic cells, Macrophages, T cells, Tregs
Biology Area
Cell Biology, Costimulatory Molecules, Immunology, Neuroscience, Neuroscience Cell Markers
Molecular Family
CD Molecules, Immune Checkpoint Receptors
Antigen References

1. Barclay A, et al. 1997. The Leukocyte Antigen FactsBook Academic Press.
2. Hathcock KS, et al. 1993. Science 262:905.
3. Freeman GJ, et al. 1993. Science 262:907.
4. Carreno BM, et al. 2002. Annu. Rev. Immunol. 20:29.

Gene ID
12524 View all products for this Gene ID
Specificity (DOES NOT SHOW ON TDS):
CD86
Specificity Alt (DOES NOT SHOW ON TDS):
CD86
App Abbreviation (DOES NOT SHOW ON TDS):
FC
UniProt
View information about CD86 on UniProt.org

Related FAQs

There are no FAQs for this product.
Go To Top Version: 1    Revision Date: 11/30/2012

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.
If you need assistance with selecting the best format contact our expert technical support team.

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