Alexa Fluor® 700 anti-mouse CD3 Antibody

Pricing & Availability
Clone
17A2 (See other available formats)
Regulatory Status
RUO
Other Names
T cell antigen receptor complex, T3
Isotype
Rat IgG2b, κ
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Product Citations
publications
17A2_Alx700_021808
C57BL/6 mouse splenocytes stained with 17A2 Alexa Fluor® 700
  • 17A2_Alx700_021808
    C57BL/6 mouse splenocytes stained with 17A2 Alexa Fluor® 700
Compare all formats See Alexa Fluor® 700 spectral data
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100215 25 µg £65
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100216 100 µg £148
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Description

CD3, also known as T3, is a member of the Ig superfamily and primarily expressed on T cells, NK-T cells, and at different levels on thymocytes during T cell differentiation. CD3 is composed of CD3ε, δ, γ and ζ chains. It forms a TCR complex by associating with TCR α/β or γ/δ chains. CD3 plays a critical role in TCR signal transduction, T cell activation, and antigen recognition by binding the peptide/MHC antigen complex

Product Details
Technical Data Sheet (pdf)

Product Details

Verified Reactivity
Mouse
Antibody Type
Monoclonal
Host Species
Rat
Immunogen
γδTCR-positive T-T hybridoma D1
Formulation
Phosphate-buffered solution, pH 7.2, containing 0.09% sodium azide.
Preparation
The antibody was purified by affinity chromatography and conjugated with Alexa Fluor® 700 under optimal conditions.
Concentration
0.5 mg/ml
Storage & Handling
The CD3 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. The suggested use of this reagent is ≤1.0 µg per million cells in 100 µl volume. It is highly recommended that the reagent be titrated for optimal performance for each application.

* Alexa Fluor® 700 has a maximum emission of 719 nm when it is excited at 633 nm / 635 nm. Prior to using Alexa Fluor® 700 conjugate for flow cytometric analysis, please verify your flow cytometer's capability of exciting and detecting the fluorochrome.


Alexa Fluor® and Pacific Blue™ are trademarks of Life Technologies Corporation.

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Excitation Laser
Red Laser (633 nm)
Application Notes

Additional reported application (for relevant formats) include: spatial biology (IBEX)1,2.

Application References

(PubMed link indicates BioLegend citation)
  1. Radtke AJ, et al. 2020. Proc Natl Acad Sci U S A. 117:33455-65. (SB) PubMed
  2. Radtke AJ, et al. 2022. Nat Protoc. 17:378-401. (SB) PubMed
Product Citations
  1. Hirai T, et al. 2020. Immunity. 54(1):84-98.e5. PubMed
  2. Cignarella F et al. 2018. Cell metabolism. 27(6):1222-1235 . PubMed
  3. Kwong Chung CK, et al. 2017. Immunology. 150:221. PubMed
  4. Abdul-Careem MF, et al. 2012. PLoS One. 7:e32821. PubMed
  5. Wojno E, et al. 2011. J Immunol. 187:266. PubMed
  6. Roco JA et al. 2019. Immunity. 51(2):337-350 . PubMed
  7. Hirata Y et al. 2018. Cell stem cell. 22(3):445-453 . PubMed
  8. Groenen AG, et al. 2022. J Lipid Res. 63:100167. PubMed
  9. Fisher E, et al. 2021. Front Immunol. 11:602254. PubMed
  10. Turner JS et al. 2018. Cell reports. 25(6):1395-1403 . PubMed
  11. Delás MJ, et al. 2019. Cell Rep. 27:719. PubMed
  12. Jiang W, et al. 2022. Front Immunol. 13:878832. PubMed
  13. Toomer G, et al. 2022. Viruses. 14:. PubMed
  14. Chow MT et al. 2019. Immunity. 50(6):1498-1512 . PubMed
  15. Zhang C, et al. 2020. Cell Metabolism. 31(1):148-161.e5.. PubMed
  16. Zhang H, et al. 2020. Cancer Cell. 37(1):37-54.e9.. PubMed
  17. Ma YV, et al. 2021. MAbs. 13:2003281. PubMed
  18. Teng ZX, et al. 2022. J Inflamm Res. 15:3187. PubMed
  19. Yu M, et al. 2021. J Clin Invest. 131:. PubMed
  20. Yang Y, et al. 2021. Nat Commun. 12:525. PubMed
  21. Gary EN, et al. 2021. iScience. 24(7):102699. PubMed
  22. Willingham SB, et al. 2018. Cancer Immunol Res. 6:1136. PubMed
  23. Jiang H, et al. 2021. Oncoimmunology. 10:1943180. PubMed
  24. Leonard JD et al. 2017. Immunity. 47(1):107-117 . PubMed
  25. Miska J et al. 2019. Cell reports. 27(1):226-237 . PubMed
  26. Watanabe K, et al. 2018. JCI Insight. 3. PubMed
  27. Zhang L, et al. 2021. Methods Mol Biol. 2388:175. PubMed
  28. Levescot A, et al. 2021. J Clin Invest. 131:. PubMed
  29. Everard A, et al. 2014. Nat Commun. 5:5648. PubMed
  30. Tyagi AM, et al. 2021. eLife. 10:00. PubMed
  31. Leylek R, et al. 2019. Cell Rep. 29:3736. PubMed
  32. Progatzky F, et al. 2021. Nature. 599:125. PubMed
  33. Gary E, et al. 2020. Vaccine. 3821:38. PubMed
  34. Li Q, et al. 2019. Front Pharmacol. 10:786. PubMed
  35. , et al. 2021. Eur J Immunol. 51:2708. PubMed
  36. Zeng Q, et al. 2022. Front Immunol. 13:740805. PubMed
  37. Reese B, et al. 2020. J Immunol. 205:3218. PubMed
  38. La Rose AM, et al. 2021. Mol Metab. 53:101265. PubMed
  39. Sharma M, et al. 2020. Circ Res. 127:335. PubMed
  40. Li A, et al. 2020. J Virol. 94:00:00. PubMed
  41. Kaur A, et al. 2019. Cancer Discov. 9:64. PubMed
  42. Kiniry BE, et al. 2018. J Immunol. 200:1876. PubMed
  43. Liu S, et al. 2020. Cell Host & Microbe. 26(6):779-794.e8.. PubMed
  44. Kuhn JA, et al. 2021. Elife. 10:. PubMed
  45. Green WD, et al. 2022. J Leukoc Biol. 111:147. PubMed
  46. Wu S, et al. 2022. BMC Immunol. 23:17. PubMed
  47. Mantilla-Rojas C, et al. 2022. Cancers (Basel). 14:. PubMed
  48. Bendtsen SK, et al. 2022. Oncoimmunology. 11:2026020. PubMed
  49. Koelwyn GJ, et al. 2020. Nat Med. 1452:26. PubMed
  50. Bruder J, et al. 2017. Mol Ther Methods Clin Dev. 10.1016/j.omtm.2017.08.003. PubMed
  51. Echevarría-Vargas IM, et al. 2018. EMBO Mol Med. 10:e8446. PubMed
  52. Toshiro Hirai et al. 2019. Immunity. 50(5):1249-1261 . PubMed
  53. Moguche AO et al. 2017. Cell host & microbe. 21(6):695-706 . PubMed
  54. Wuggenig P, et al. 2020. Commun Biol. 3:130. PubMed
  55. Ryan NM, et al. 2022. Front Immunol. 13:932742. PubMed
  56. Gomez S, et al. 2022. J Immunother Cancer. 10:. PubMed
  57. Dulken BW, et al. 2019. Nature. 571:205. PubMed
  58. Williams JB, et al. 2020. Nat Commun. 0.876388889. PubMed
  59. Rosenbaum SR, et al. 2020. Cell Rep. 30:510. PubMed
  60. Godwin MS, et al. 2019. JCI Insight. 4:e126070. PubMed
  61. Dahlgren MW et al. 2019. Immunity. 50(3):707-722 . PubMed
  62. Agashe VV, et al. 2018. J Immunol. 201:772. PubMed
  63. Zeis P, et al. 2020. Immunity. 53:775. PubMed
  64. Jaako P, et al. 2016. Leukemia. 10.1038/leu.2016.159. PubMed
  65. Moufarrij S, et al. 2020. Sci Rep. 10:3470. PubMed
  66. Muchenditsi A, et al. 2017. Am J Physiol Gastrointest Liver Physiol. 313:G39. PubMed
  67. Contreras NA, et al. 2019. PLoS Pathog. 15:e1007890. PubMed
  68. Zaitseva M, et al. 2017. Antiviral Research. 10.1016/j.antiviral.2017.05.002. PubMed
  69. Tulyeu J, et al. 2021. Curr Protoc. 1:e283. PubMed
  70. Godwin MS, et al. 2021. Am J Physiol Lung Cell Mol Physiol. 320:L393. PubMed
  71. Di Pilato M, et al. 2021. Cell. 184(17):4512-4530.e22. PubMed
  72. Lang JF et al. 2019. Nat Commun. 10(1):3415 . PubMed
  73. Voeller J, et al. 2019. J Immunother Cancer. 0.530555556. PubMed
  74. Chao JL, et al. 2021. Cell Rep Med. 2:100399. PubMed
  75. Fedele C, et al. 2021. J Exp Med. 218: . PubMed
  76. Mykkänen O, et al. 2014. PLoS One. 9:114790. PubMed
  77. Platteel ACM, et al. 2018. Front Immunol. 1.544444444. PubMed
  78. Li K, et al. 2020. Nat Commun. 0.795138889. PubMed
  79. Säwen P et al. 2018. eLife. 7 pii: e41258. PubMed
  80. Sharma M, et al. 2019. Immunometabolism. 1. PubMed
  81. Seenappa LM, et al. 2022. NPJ Vaccines. 7:128. PubMed
  82. Schulze J, et al. 2021. Stroke. 52:2939. PubMed
  83. Spencer AJ, et al. 2022. EBioMedicine. 77:103902. PubMed
  84. Chavez JS, et al. 2022. Cells. 11:. PubMed
  85. Kong IY, et al. 2020. Cell Rep. 33:108290. PubMed
  86. Goldberg EL, et al. 2021. Cell Metabolism. :. PubMed
  87. Hebbandi Nanjundappa R, et al. 2017. Cell. 171:655. PubMed
  88. Rezende RM, et al. 2019. J Immunol. 203:2621. PubMed
  89. Parigger T, et al. 2021. Int J Mol Sci. 22:. PubMed
  90. Hendin HE, et al. 2022. NPJ Vaccines. 7:42. PubMed
  91. Ye Y, et al. 2020. Genome Med. 0.557638889. PubMed
  92. Samuelson DR, et al. 2021. Commun Biol. 4:997. PubMed
  93. Jiang W, et al. 2021. Cell Rep. 37:110112. PubMed
  94. Chang MH, et al. 2021. Cell Rep. 37:109902. PubMed
  95. Gu Z, et al. 2021. Nat Genet. 53:672. PubMed
RRID
AB_493696 (BioLegend Cat. No. 100215)
AB_493697 (BioLegend Cat. No. 100216)

Antigen Details

Structure
Ig superfamily, CD3/TCR, 20 kD
Distribution

Thymocytes (differentiation dependent), mature T cells, NK-T cells

Function
Antigen recognition, TCR signal transduction, T cell activation
Ligand/Receptor
Peptide antigen/MHC-complex
Antigen References

1. Barclay A, et al. 1997. The Leukocyte Antigen FactsBook Academic Press.
2. Davis MM. 1990. Annu. Rev. Biochem. 59:475.
3. Weiss A, et al. 1994. Cell 76:263.

Gene ID
12502 View all products for this Gene ID
UniProt
View information about CD3 on UniProt.org

Related FAQs

There are no FAQs for this product.

Other Formats

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Description Clone Applications
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Alexa Fluor® 488 anti-mouse CD3 17A2 FC,IHC-F,3D IHC
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Alexa Fluor® 700 anti-mouse CD3 17A2 FC
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Brilliant Violet 570™ anti-mouse CD3 17A2 FC
Brilliant Violet 650™ anti-mouse CD3 17A2 FC
Brilliant Violet 785™ anti-mouse CD3 17A2 FC
Brilliant Violet 510™ anti-mouse CD3 17A2 FC
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Ultra-LEAF™ Purified anti-mouse CD3 17A2 FC,IHC-F,IP,ICC
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Brilliant Violet 711™ anti-mouse CD3 17A2 FC
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APC/Fire™ 750 anti-mouse CD3 17A2 FC
Brilliant Violet 750™ anti-mouse CD3 17A2 FC
TotalSeq™-A0182 anti-mouse CD3 17A2 PG
TotalSeq™-B0182 anti-mouse CD3 17A2 PG
Spark Blue™ 550 anti-mouse CD3 17A2 FC
Spark NIR™ 685 anti-mouse CD3 17A2 FC
TotalSeq™-C0182 anti-mouse CD3 17A2 PG
APC/Fire™ 810 anti-mouse CD3 17A2 FC
PE/Fire™ 640 anti-mouse CD3 17A2 FC
Spark YG™ 570 anti-mouse CD3 17A2 IHC-F
PE/Fire™ 700 anti-mouse CD3 17A2 FC
PE/Cyanine5 anti-mouse CD3 17A2 FC
Spark Blue™ 574 anti-mouse CD3 Antibody 17A2 FC
Spark Violet™ 423 anti-mouse CD3 17A2 FC
PE/Fire™ 810 anti-mouse CD3 17A2 FC
Spark Red™ 718 anti-mouse CD3 17A2 FC
Spark UV™ 387 anti-mouse CD3 17A2 FC
Go To Top Version: 2    Revision Date: 06/27/2014

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

 

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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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