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Brilliant Violet 711™ anti-mouse CD4 Antibody

Pricing & Availability
Clone
RM4-5 (See other available formats)
Regulatory Status
RUO
Other Names
L3T4, T4
Isotype
Rat IgG2a, κ
Ave. Rating
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Product Citations
publications
RM4-5_BV711_061412
C57BL/6 mouse splenocytes were stained with CD3 PE and CD4 (clone RM4-5) Brilliant Violet 711™.
  • RM4-5_BV711_061412
    C57BL/6 mouse splenocytes were stained with CD3 PE and CD4 (clone RM4-5) Brilliant Violet 711™.
Compare all formats See Brilliant Violet 711™ spectral data
Cat # Size Price Quantity Check Availability Save
100549 125 µL 168€
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100557 50 µg 219€
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100550 500 µL 348€
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Description

CD4 is a 55 kD protein also known as L3T4 or T4. It is a member of the Ig superfamily, primarily expressed on most thymocytes and a subset of T cells, and weakly on macrophages and dendritic cells. It acts as a co-receptor with the TCR during T cell activation and thymic differentiation by binding MHC class II and associating with the protein tyrosine kinase lck.

Product Details
Technical Data Sheet (pdf)

Product Details

Verified Reactivity
Mouse
Antibody Type
Monoclonal
Host Species
Rat
Immunogen
BALB/c mouse thymocytes
Formulation
Phosphate-buffered solution, pH 7.2, containing 0.09% sodium azide and BSA (origin USA).
Preparation
The antibody was purified by affinity chromatography and conjugated with Brilliant Violet 711™ under optimal conditions.
Concentration
µg sizes: 0.2 mg/mL
µL sizes: lot-specific (to obtain lot-specific concentration and expiration, please enter the lot number in our Certificate of Analysis online tool.)
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 immunofluorescent staining using the µg size, the suggested use of this reagent is ≤0.5 µg per million cells in 100 µl volume. For immunofluorescent staining using the µl size, the suggested use of this reagent is 5 µl per million cells in 100 µl staining volume or 5 µl per 100 µl of whole blood. It is recommended that the reagent be titrated for optimal performance for each application.

Brilliant Violet 711™ excites at 405 nm and emits at 711 nm. The bandpass filter 710/50 nm is recommended for detection, although filter optimization may be required depending on other fluorophores used. Be sure to verify that your cytometer configuration and software setup are appropriate for detecting this channel. Refer to your instrument manual or manufacturer for support. Brilliant Violet 711™ is a trademark of Sirigen Group Ltd.


Learn more about Brilliant Violet™.

This product is subject to proprietary rights of Sirigen Inc. and is made and sold under license from Sirigen Inc. The purchase of this product conveys to the buyer a non-transferable right to use the purchased product for research purposes only. This product may not be resold or incorporated in any manner into another product for resale. Any use for therapeutics or diagnostics is strictly prohibited. This product is covered by U.S. Patent(s), pending patent applications and foreign equivalents.
Excitation Laser
Violet Laser (405 nm)
Application Notes

The RM4-5 antibody blocks the binding of GK1.5 antibody and H129.19 antibody to CD4+ T cells, but not RM4-4 antibody. Additional reported applications (for the relevant formats) include: blocking of ligand binding, in vivo depletion of CD4+ cells1, and immunohistochemistry of acetone-fixed frozen tissue sections2,3,11 and paraffin-embedded sections11. Clone RM4-5 is not recommended for immunohistochemistry of formalin-fixed paraffin sections. Instead, acetone frozen or zinc-fixed paraffin sections are recommended. The Ultra-LEAF™ Purified antibody (Endotoxin < 0.01 EU/µg, Azide-Free, 0.2 µm filtered) is recommended for functional assays (Cat. No. 100575 and 100576).

Application References
  1. Kruisbeek AM. 1991. In Curr. Protocols Immunol. pp. 4.1.1-4.1.5. (Block, Deplete)
  2. Nitta H, et al. 1997. Cell Vision 4:73. (IHC)
  3. Fan WY, et al. 2001. Exp. Biol. Med. 226:1045.
  4. Muraille E, et al. 2003. Infect. Immun. 71:2704. (IHC)
  5. León-Ponte M, et al. 2007. Blood 109:3139. (FC)
  6. Bourdeau A, et al. 2007. Blood doi:10.1182/blood-2006-08-044370. (FC)
  7. Matsumoto M, et al. 2007.J. Immunol.178:2499. PubMed
  8. Shigeta A, et al. 2008. Blood 112:4915. PubMed
  9. Zaborsky N, et al. 2010. J. Immunol. 184:725. PubMed
  10. Rodrigues-Manzanet R, et al. 2010. P. Natl Acad Sci USA 107:8706. PubMed
  11. Whiteland JL, et al. 1995. J. Histochem. Cytochem. 43:313. (IHC)
Product Citations
  1. Harsha Krovi S, et al. 2020. Nat Commun. 4.790277778. PubMed
  2. Russler-Germain EV, et al. 2021. Immunity. 54:2547. PubMed
  3. Duraiswamy J, et al. 2021. Cancer Cell. 39:1623. PubMed
  4. Cautivo KM, et al. 2022. Immunity. 55:254. PubMed
  5. Bettke JA, et al. 2022. Infect Immun. 90:e0007022. PubMed
  6. Kuczynski EA, et al. 2022. EMBO Mol Med. 14:e15816. PubMed
  7. Zindl CL, et al. 2022. Immunity. 55:494. PubMed
  8. Reticker-Flynn NE, et al. 2022. Cell. 185:1924. PubMed
  9. Belk JA, et al. 2022. Cancer Cell. 40:768. PubMed
  10. Sheng YH, et al. 2022. Cell Mol Gastroenterol Hepatol. 14:789. PubMed
  11. Zhu Z, et al. 2022. Clin Cancer Res. 28:4820. PubMed
  12. Glorieux C, et al. 2022. J Adv Res. 40:109. PubMed
  13. Wang Z, et al. 2023. J Cancer. 14:1049. PubMed
  14. Kim EH, et al. 2020. Elife. 9:00. PubMed
  15. Lin YN, et al. 2022. Oncoimmunology. 11:2027136. PubMed
  16. Schneider C, et al. 2018. Cell. 174:271. PubMed
  17. Khalsa JK, et al. 2020. Nat Commun. 3.175. PubMed
  18. Delacher M, et al. 2021. Immunity. 54(4):702-720.e17. PubMed
  19. Piper CJM, et al. 2020. Cell Reports. 29(7):1878-1892.e7.. PubMed
  20. Amir M, et al. 2018. Cell Rep. 25:3733. PubMed
  21. Lees JG, et al. 2020. PLoS One. 15:e0238164. PubMed
  22. Cao W, et al. 2017. Immunity. 47:1182. PubMed
  23. Tuttle KD, et al. 2020. Cell Rep. 33:108407. PubMed
  24. Montel-Hagen A, et al. 2020. Cell Rep. 33:108320. PubMed
  25. Rengarajan S, et al. 2020. Cell Rep Med. :1. PubMed
  26. Fennell LM, et al. 2020. EMBO J. 39:e103303. PubMed
  27. Russler-Germain EV, et al. 2021. Elife. 10:. PubMed
  28. Wen Y, et al. 2020. Hypertension. 869:75. PubMed
  29. Bambouskova M, et al. 2021. Cell Reports. 34(10):108756. PubMed
  30. Fu G, et al. 2021. Nature. 595:724. PubMed
  31. Soni C, et al. 2020. Immunity. 52(6):1022-1038.e7. PubMed
  32. Devi S, et al. 2021. Immunity. 54(6):1219-1230.e7. PubMed
  33. Kuhn JA, et al. 2021. Elife. 10:. PubMed
  34. Vardhana SA, et al. 2020. Nat Immunol. 1.584722222. PubMed
  35. Kyburz A, et al. 2019. J Allergy Clin Immunol. 143:1496. PubMed
  36. Li D, et al. 2022. Emerg Microbes Infect. 11:2248. PubMed
  37. Gubin MM, et al. 2018. Cell. 175:1014. PubMed
  38. Kyburz A, et al. 2017. Clin Exp Allergy. 47:1331. PubMed
  39. Blagih J, et al. 2020. Cell Rep. 30:481. PubMed
  40. Cosway EJ, et al. 2017. J Exp Med. 214:3183. PubMed
  41. Dahlgren MW et al. 2019. Immunity. 50(3):707-722 . PubMed
  42. Rosser EC, et al. 2020. Cell Metabolism. 31(4):837-851. PubMed
  43. Abdelsamed HA, et al. 2020. Nat Immunol. 1.276388889. PubMed
  44. McCarthy N, et al. 2015. J Immunol. 195: 2675-2682. PubMed
  45. Read BJ, et al. 2022. Cell Rep. 38:110217. PubMed
  46. Li J, et al. 2021. Cell Rep. 37:110124. PubMed
  47. Staffas A et al. 2018. Cell host & microbe. 23(4):447-457 . PubMed
  48. Schmit T, et al. 2022. Cell Rep. 38:110456. PubMed
  49. Säwen P et al. 2018. eLife. 7 pii: e41258. PubMed
  50. Imbratta C, et al. 2019. Sci Rep. 9:6135. PubMed
  51. Long L, et al. 2021. Nature. 600:308. PubMed
  52. Matei DE, et al. 2021. Med (N Y). 2:864. PubMed
RRID
AB_2562099 (BioLegend Cat. No. 100549)
AB_2562099 (BioLegend Cat. No. 100557)
AB_2562099 (BioLegend Cat. No. 100550)

Antigen Details

Structure
Ig superfamily, 55 kD
Distribution

Majority of thymocytes, T cell subset

Function
TCR co-receptor, T cell activation
Ligand/Receptor
MHC class II molecule
Cell Type
Dendritic cells, T cells, Thymocytes, Tregs
Biology Area
Immunology
Molecular Family
CD Molecules
Antigen References

1. Barclay A, et al. 1997. The Leukocyte Antigen FactsBook Academic Press.
2. Bierer BE, et al. 1989. Annu. Rev. Immunol. 7:579.
3. Janeway CA. 1992. Annu. Rev. Immunol. 10:645.

Gene ID
12504 View all products for this Gene ID
Specificity (DOES NOT SHOW ON TDS):
CD4
Specificity Alt (DOES NOT SHOW ON TDS):
CD4
App Abbreviation (DOES NOT SHOW ON TDS):
FC
UniProt
View information about CD4 on UniProt.org

Related FAQs

I am unable to see expression of T cell markers such as CD3 and CD4 post activation.
TCR-CD3 complexes on the T-lymphocyte surface are rapidly downregulated upon activation with peptide-MHC complex, superantigen or cross-linking with anti-TCR or anti-CD3 antibodies. PMA/Ionomycin treatment has been shown to downregulate surface CD4 expression. Receptor downregulation is a common biological phenomenon and so make sure that your stimulation treatment is not causing it in your sample type.
Go To Top Version: 3    Revision Date: 10-21-2013

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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