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APC Anti-mouse TCR γ/δ Antibody

Pricing & Availability
Clone
GL3 (See other available formats)
Regulatory Status
RUO
Other Names
T cell receptor γ/δ
Isotype
Armenian Hamster IgG
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Product Citations
publications
A_GL3_APC_083109
C57BL/6 mouse lymph node cells stained with CD3 (145-2C11) PE and GL-3 APC
  • A_GL3_APC_083109
    C57BL/6 mouse lymph node cells stained with CD3 (145-2C11) PE and GL-3 APC
  • B_GL3_APC_083109.jpg
    C57BL/6 mouse lymph node cells stained with CD3 (145-2C11) PE and Armenian hamster IgG APC isotype control
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118115 25 µg £70
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118116 100 µg £114
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Description

T cell receptor (TCR) is a heterodimer consisting of an α and a β chain (TCR α/β) or a γ and a δ chain (TCR γ/δ). TCR γ/δ belongs to the immunoglobulin superfamily, which is involved in the recognition of certain bacterial and tumor antigens bound to MHC class I. γ/δ TCR associates with CD3 and is expressed on a T cell subset found in the thymus, the intestinal epithelium, and the peripheral lymphoid tissues and peritoneum. Most γ/δ T cells are CD4-/CD8- although some are CD8+. T cells expressing the γ/δ TCR have been shown to play a role in oral tolerance, tumor-associated tolerance, and autoimmune disease. It has been reported that γ/δ T cells also play a principal role in antigen presentation.

Product Details
Technical Data Sheet (pdf)

Product Details

Verified Reactivity
Mouse
Antibody Type
Monoclonal
Host Species
Armenian Hamster
Immunogen
C57BL/6J intraepithelial lymphocytes
Formulation
Phosphate-buffered solution, pH 7.2, containing 0.09% sodium azide.
Preparation
The antibody was purified by affinity chromatography, and conjugated with APC 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 GL3 antibody has been shown to be useful in identifying γ/δ T cells by flow cytometry and immunohistochemistry and depleting γ/δ T cells in vivo. Additional reported applications (for the relevant formats) include: immunoprecipitation1, immunohistochemistry of acetone-fixed frozen sections2,6, and in vivo depletion of γ/δ T cells3-5.

Application References

(PubMed link indicates BioLegend citation)
  1. Goodman T, et al. 1989. J. Exp. Med. 170:1569. (FC, IP)
  2. Cardona AE, et al. 2003. Infect. Immun. 71:2634. (IHC)
  3. Kapp JA, et al. 2004. Immunology 111:155. (Deplete)
  4. Skelsey ME, et al. 2001. J. Immunol. 166:4327. (Deplete)
  5. Ke Y, et al. 1997. J. Immunol. 158:3610. (Deplete)
  6. Podd BS, et al. 2006. J. Immunol. 176:6532. (IHC)
  7. Kasten KR, et al. 2010. Infect. Immun. 78:4714. (FC) PubMed
  8. Stadanlick JE, et al. 2011. J. Immunol. 187:664. PubMed
  9. Van Belle AB, et al. 2012. J. Immunol. 188:462. PubMed
Product Citations
  1. Garo LP, et al. 2021. Nat Commun. 12:2419. PubMed
  2. Heindl S, et al. 2021. J Exp Med. 218:. PubMed
  3. Ge Y, et al. 2022. iScience. 25:105437. PubMed
  4. Peng Q, et al. 2023. EMBO Rep. 24:e56034. PubMed
  5. Giannou AD, et al. 2023. Immunity. 56:125. PubMed
  6. Elliot TAE, et al. 2022. Discov Immunol. 1:kyac009. PubMed
  7. Wang Y, et al. 2023. iScience. 26:106630. PubMed
  8. Willcox CR, et al. 2020. Immunity. 51(5):813-825.e4.. PubMed
  9. Almeida AS, et al. 2021. Bio Protoc. 11:e4012. PubMed
  10. Park JH, et al. 2022. STAR Protoc. 3:101607. PubMed
  11. Liu X, et al. 2020. Nature. . PubMed
  12. Pokrovskii M, et al. 2020. EMBO J. 39:e104159. PubMed
  13. Tan L, et al. 2019. Cell Rep. 27:3657. PubMed
  14. Liu X, et al. 2021. eLife. 0.416666666666667. PubMed
  15. Han Y et al. 2019. Cell reports. 27(3):835-846 . PubMed
  16. Wang Z, et al. 2020. Autophagy. 1:. PubMed
  17. Zhan Y, et al. 2021. JCI Insight. 6:. PubMed
  18. Hore ZL, et al. 2021. Wellcome Open Res. 6:68. PubMed
  19. Almeida AS, et al. 2021. Bio Protoc. 11:e4012. PubMed
  20. Mantri CK, et al. 2019. J Clin Invest. 129:1094. PubMed
  21. Sophie Thiemann et al. 2017. Cell host & microbe. 21(6):682-694 . PubMed
  22. Varol D et al. 2017. Immunity. 46(6):1030-1044 . PubMed
  23. Hrdinka M, et al. 2016. PLoS One. 11: 0162863. PubMed
  24. Du Y, et al. 2022. Nat Commun. 13:231. PubMed
  25. Shook BA, et al. 2020. Cell Stem Cell. 26(6):880-895. PubMed
  26. Duan H, et al. 2021. J Clin Invest. 131:. PubMed
  27. Cai Y, et al. 2019. Cell Rep. 27:3034. PubMed
  28. Guo Y, et al. 2013. Infect Immun . 81:3923. PubMed
  29. Pandit M, et al. 2021. Eur J Immunol. 51:1461. PubMed
  30. Sakamoto K, et al. 2021. Immunity. 54:2321. PubMed
  31. Li J, et al. 2020. Development. :. PubMed
  32. Zhang X, et al. 2021. Front Pharmacol. 12:629513. PubMed
  33. Liang Q, et al. 2020. Front Microbiol. 11:571847. PubMed
  34. Zeis P, et al. 2020. Immunity. 53:775. PubMed
  35. Baomei Wang et al. 2019. Cell reports. 26(6):1614-1626 . PubMed
  36. Pai M, et al. 2016. JPEN J Parenter Enteral Nutr. 40: 383 - 391. PubMed
  37. Alexander Mildner et al. 2017. Immunity. 46(5):849-862 . PubMed
  38. Bajaña S, et al. 2022. iScience. 25:103732. PubMed
  39. Amezcua Vesely MC, et al. 2020. Cell. 178(5):1176-1188.e15.. PubMed
  40. Chao JL, et al. 2021. Cell Rep Med. 2:100399. PubMed
  41. Hackstein CP, et al. 2022. Nat Commun. 13:7472. PubMed
  42. Pelly V, et al. 2016. Mucosal Immunol. 10.1038/mi.2016.4. PubMed
  43. Wang X, et al. 2022. Elife. 11:. PubMed
  44. Zhang S, et al. 2016. PLoS Pathog. 12: 1005617. PubMed
  45. Corrado M, et al. 2020. Cell Metab. 32:981. PubMed
  46. Wunderlich CM, et al. 2018. Nat Commun. 9:1646. PubMed
  47. Hester AK, et al. 2022. Cell Rep. 38:110363. PubMed
  48. Huang LH et al. 2018. Cell metabolism. 29(2):475-487 . PubMed
  49. Moriyasu T, et al. 2018. PLoS Negl Trop Dis. 12:e0006197. PubMed
RRID
AB_1731824 (BioLegend Cat. No. 118115)
AB_1731824 (BioLegend Cat. No. 118116)

Antigen Details

Structure
Ig superfamily, associates with CD3 complex.
Distribution

T cell subset in thymus, intestinal epithelium, peripheral lymphoid tissues and peritoneum, most γ/δ T cells are CD4-/CD8-, some are CD8+.

Function
Antigen recognition; γ/δ T cells are thought to play a role in tolerance.
Ligand/Receptor
Some bacterial or tumor antigens bound to MHC class I.
Cell Type
Epithelial cells, T cells, Tregs
Biology Area
Adaptive Immunity, Immunology
Molecular Family
TCRs
Antigen References
  1. Skarstein K, et al. 1995. Immunology. 81:497.
  2. Harrison LC, et al. 1996. J Exp Med. 184:2167.
  3. Wildner G, et al. 1996. Eur J Immunol. 26:2140.
  4. Brandes M, et al. 2005. Science. 309:264.
Gene ID
110066 View all products for this Gene ID 110067 View all products for this Gene ID
UniProt
View information about TCR gamma/delta 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.
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