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
Ave. Rating
Submit a Review
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
Cat # Size Price Quantity Check Availability Save
100215 25 µg 76€
Check Availability


Need larger quantities of this item?
Request Bulk Quote
100216 100 µg 172€
Check Availability


Need larger quantities of this item?
Request Bulk Quote
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.

View full statement regarding label licenses
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. Groenen AG, et al. 2022. J Lipid Res. 63:100167. PubMed
  5. Fisher E, et al. 2021. Front Immunol. 11:602254. PubMed
  6. Abdul-Careem MF, et al. 2012. PLoS One. 7:e32821. PubMed
  7. Wojno E, et al. 2011. J Immunol. 187:266. PubMed
  8. Roco JA et al. 2019. Immunity. 51(2):337-350 . PubMed
  9. Hirata Y et al. 2018. Cell stem cell. 22(3):445-453 . PubMed
  10. Jiang W, et al. 2022. Front Immunol. 13:878832. PubMed
  11. Toomer G, et al. 2022. Viruses. 14:. PubMed
  12. Turner JS et al. 2018. Cell reports. 25(6):1395-1403 . PubMed
  13. Delás MJ, et al. 2019. Cell Rep. 27:719. PubMed
  14. Chow MT et al. 2019. Immunity. 50(6):1498-1512 . PubMed
  15. Ma YV, et al. 2021. MAbs. 13:2003281. PubMed
  16. Teng ZX, et al. 2022. J Inflamm Res. 15:3187. PubMed
  17. Yu M, et al. 2021. J Clin Invest. 131:. PubMed
  18. Yang Y, et al. 2021. Nat Commun. 12:525. PubMed
  19. Zhang C, et al. 2020. Cell Metabolism. 31(1):148-161.e5.. PubMed
  20. Zhang H, et al. 2020. Cancer Cell. 37(1):37-54.e9.. PubMed
  21. Jiang H, et al. 2021. Oncoimmunology. 10:1943180. PubMed
  22. Gary EN, et al. 2021. iScience. 24(7):102699. PubMed
  23. Willingham SB, et al. 2018. Cancer Immunol Res. 6:1136. PubMed
  24. Zhang L, et al. 2021. Methods Mol Biol. 2388:175. PubMed
  25. Levescot A, et al. 2021. J Clin Invest. 131:. PubMed
  26. Leonard JD et al. 2017. Immunity. 47(1):107-117 . PubMed
  27. Miska J et al. 2019. Cell reports. 27(1):226-237 . PubMed
  28. Watanabe K, et al. 2018. JCI Insight. 3. PubMed
  29. Progatzky F, et al. 2021. Nature. 599:125. PubMed
  30. Everard A, et al. 2014. Nat Commun. 5:5648. PubMed
  31. Tyagi AM, et al. 2021. eLife. 10:00. PubMed
  32. Leylek R, et al. 2019. Cell Rep. 29:3736. PubMed
  33. , et al. 2021. Eur J Immunol. 51:2708. PubMed
  34. Zeng Q, et al. 2022. Front Immunol. 13:740805. PubMed
  35. Reese B, et al. 2020. J Immunol. 205:3218. PubMed
  36. La Rose AM, et al. 2021. Mol Metab. 53:101265. PubMed
  37. Gary E, et al. 2020. Vaccine. 3821:38. PubMed
  38. Li Q, et al. 2019. Front Pharmacol. 10:786. PubMed
  39. Kuhn JA, et al. 2021. Elife. 10:. PubMed
  40. Green WD, et al. 2022. J Leukoc Biol. 111:147. PubMed
  41. Sharma M, et al. 2020. Circ Res. 127:335. PubMed
  42. Li A, et al. 2020. J Virol. 94:00:00. PubMed
  43. Kaur A, et al. 2019. Cancer Discov. 9:64. PubMed
  44. Kiniry BE, et al. 2018. J Immunol. 200:1876. PubMed
  45. Liu S, et al. 2020. Cell Host & Microbe. 26(6):779-794.e8.. 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. Wuggenig P, et al. 2020. Commun Biol. 3:130. PubMed
  50. Ryan NM, et al. 2022. Front Immunol. 13:932742. PubMed
  51. Gomez S, et al. 2022. J Immunother Cancer. 10:. PubMed
  52. Koelwyn GJ, et al. 2020. Nat Med. 1452:26. PubMed
  53. Bruder J, et al. 2017. Mol Ther Methods Clin Dev. 10.1016/j.omtm.2017.08.003. PubMed
  54. Echevarría-Vargas IM, et al. 2018. EMBO Mol Med. 10:e8446. PubMed
  55. Toshiro Hirai et al. 2019. Immunity. 50(5):1249-1261 . PubMed
  56. Moguche AO et al. 2017. Cell host & microbe. 21(6):695-706 . PubMed
  57. Zeis P, et al. 2020. Immunity. 53:775. PubMed
  58. Dulken BW, et al. 2019. Nature. 571:205. PubMed
  59. Williams JB, et al. 2020. Nat Commun. 0.876388889. PubMed
  60. Rosenbaum SR, et al. 2020. Cell Rep. 30:510. PubMed
  61. Godwin MS, et al. 2019. JCI Insight. 4:e126070. PubMed
  62. Dahlgren MW et al. 2019. Immunity. 50(3):707-722 . PubMed
  63. Agashe VV, et al. 2018. J Immunol. 201:772. PubMed
  64. Jaako P, et al. 2016. Leukemia. 10.1038/leu.2016.159. PubMed
  65. Tulyeu J, et al. 2021. Curr Protoc. 1:e283. PubMed
  66. Godwin MS, et al. 2021. Am J Physiol Lung Cell Mol Physiol. 320:L393. PubMed
  67. Moufarrij S, et al. 2020. Sci Rep. 10:3470. PubMed
  68. Muchenditsi A, et al. 2017. Am J Physiol Gastrointest Liver Physiol. 313:G39. PubMed
  69. Contreras NA, et al. 2019. PLoS Pathog. 15:e1007890. PubMed
  70. Zaitseva M, et al. 2017. Antiviral Research. 10.1016/j.antiviral.2017.05.002. PubMed
  71. Fedele C, et al. 2021. J Exp Med. 218: . PubMed
  72. Chao JL, et al. 2021. Cell Rep Med. 2:100399. PubMed
  73. Di Pilato M, et al. 2021. Cell. 184(17):4512-4530.e22. PubMed
  74. Lang JF et al. 2019. Nat Commun. 10(1):3415 . PubMed
  75. Voeller J, et al. 2019. J Immunother Cancer. 0.530555556. PubMed
  76. Seenappa LM, et al. 2022. NPJ Vaccines. 7:128. PubMed
  77. Schulze J, et al. 2021. Stroke. 52:2939. PubMed
  78. Spencer AJ, et al. 2022. EBioMedicine. 77:103902. PubMed
  79. Chavez JS, et al. 2022. Cells. 11:. PubMed
  80. Mykkänen O, et al. 2014. PLoS One. 9:114790. PubMed
  81. Platteel ACM, et al. 2018. Front Immunol. 1.544444444. PubMed
  82. Li K, et al. 2020. Nat Commun. 0.795138889. PubMed
  83. Säwen P et al. 2018. eLife. 7 pii: e41258. PubMed
  84. Sharma M, et al. 2019. Immunometabolism. 1. PubMed
  85. Parigger T, et al. 2021. Int J Mol Sci. 22:. PubMed
  86. Hendin HE, et al. 2022. NPJ Vaccines. 7:42. PubMed
  87. Kong IY, et al. 2020. Cell Rep. 33:108290. PubMed
  88. Goldberg EL, et al. 2021. Cell Metabolism. :. PubMed
  89. Hebbandi Nanjundappa R, et al. 2017. Cell. 171:655. PubMed
  90. Rezende RM, et al. 2019. J Immunol. 203:2621. PubMed
  91. Samuelson DR, et al. 2021. Commun Biol. 4:997. PubMed
  92. Jiang W, et al. 2021. Cell Rep. 37:110112. PubMed
  93. Chang MH, et al. 2021. Cell Rep. 37:109902. PubMed
  94. Gu Z, et al. 2021. Nat Genet. 53:672. PubMed
  95. Ye Y, et al. 2020. Genome Med. 0.557638889. 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

View All CD3 Reagents Request Custom Conjugation
Description Clone Applications
FITC anti-mouse CD3 17A2 FC
PE anti-mouse CD3 17A2 FC
Purified anti-mouse CD3 17A2 FC,IHC-F,IP,ICC
Alexa Fluor® 647 anti-mouse CD3 17A2 FC,IHC-F,3D IHC,SB
Alexa Fluor® 488 anti-mouse CD3 17A2 FC,IHC-F,3D IHC
Pacific Blue™ anti-mouse CD3 17A2 FC
Alexa Fluor® 700 anti-mouse CD3 17A2 FC
PerCP/Cyanine5.5 anti-mouse CD3 17A2 FC
PE/Cyanine7 anti-mouse CD3 17A2 FC
APC/Cyanine7 anti-mouse CD3 17A2 FC
Brilliant Violet 421™ anti-mouse CD3 17A2 FC,ICC
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
APC anti-mouse CD3 17A2 FC
Ultra-LEAF™ Purified anti-mouse CD3 17A2 FC,IHC-F,IP,ICC
Brilliant Violet 605™ anti-mouse CD3 17A2 FC
Alexa Fluor® 594 anti-mouse CD3 17A2 IHC-F,FC,3D IHC,SB
Brilliant Violet 711™ anti-mouse CD3 17A2 FC
Biotin anti-mouse CD3 17A2 FC,IHC-F
PE/Dazzle™ 594 anti-mouse CD3 17A2 FC
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.

 

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.

 

BioLegend, the BioLegend logo, and all other trademarks are property of BioLegend, Inc. or their respective owners, and all rights are reserved.

 

8999 BioLegend Way, San Diego, CA 92121 www.biolegend.com
Toll-Free Phone: 1-877-Bio-Legend (246-5343) Phone: (858) 768-5800 Fax: (877) 455-9587

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.

ProductsHere

Login / Register
Remember me
Forgot your password? Reset password?
Create an Account