Alexa Fluor® 700 anti-mouse CD45.2 Antibody

Pricing & Availability
Clone
104 (See other available formats)
Regulatory Status
RUO
Other Names
Ly-5.2, LCA
Isotype
Mouse (SJL) IgG2a, κ
Ave. Rating
Submit a Review
Product Citations
publications
104_Alx700_020608
C57BL/6 mouse splenocytes stained with 104 Alexa Fluor® 700
  • 104_Alx700_020608
    C57BL/6 mouse splenocytes stained with 104 Alexa Fluor® 700
Compare all formats See Alexa Fluor® 700 spectral data
Cat # Size Price Quantity Check Availability Save
109821 25 µg 76€
Check Availability


Need larger quantities of this item?
Request Bulk Quote
109822 100 µg 172€
Check Availability


Need larger quantities of this item?
Request Bulk Quote
Description

CD45.2 is an alloantigen of CD45, expressed by Ly5.2 bearing mouse strains (e.g., A, AKR, BALB/c, CBA/Ca, CBA/J, C3H/He, C57BL, C57BR, C57L, C58, DBA/1, DBA/2, NZB, SWR, 129). CD45, a member of the protein tyrosine phosphatase (PTP) family, is a 180-240 kD glycoprotein expressed on all hematopoietic cells except mature erythrocytes and platelets. There are multiple isoforms in the mouse that play key roles in TCR and BCR signal transduction. These isoforms are very specific to the activation and maturation states of the cell as well as specific cell type. The primary ligands for CD45 are galectin-1, CD2, CD3, CD4, TCR, CD22, and Thy-1.

Product Details
Technical Data Sheet (pdf)

Product Details

Verified Reactivity
Mouse
Antibody Type
Monoclonal
Host Species
Mouse
Immunogen
B10.S mouse thymocytes and splenocytes
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 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

The 104 antibody does not react with mouse cells expressing the CD45.1 alloantigen. Additional reported applications (for the relevant formats) include: immunoprecipitation4, in vivo and in vitro blocking of B cell responses1,2, and immunohistochemical staining of acetone-fixed frozen sections3

Application References
  1. Yakura H, et al. 1983. J. Exp. Med. 157:1077. (Block)
  2. Yakura H, et al. 1986. J. Immunol. 136:2729. (Block)
  3. Suzuki K, et al. 2000. Immunity 13:691. (IHC)
  4. Shen FW, et al. 1986. Immunogenetics 24:146. (IP)
  5. Baldwin TA and Hogquist KA. 2007. J. Immunol. 179:837.
  6. Pascal V, et al. 2007. J. Immunol. 179:1751.
  7. Burman AC, et al. 2007. Blood 110:1064.
  8. Kincaid EZ, et al. 2007. J. Immunol. 179:3187.
  9. Phan TG, et al. 2007. Nature Immunol. 8:992.
  10. Nakano-Yokomizo T, et al. 2011. J. Exp Med. 208:1661. PubMed
  11. Wen T, et al. 2013. PNAS. 110:6067. PubMed
  12. Kohlmeier JE, et al. 2008. Immunity. 29:101. (FC) PubMed
Product Citations
  1. Vella JL, et al. 2021. Life Sci Alliance. 4:. PubMed
  2. Su Y, et al. 2022. J Hematol Oncol. 15:99. PubMed
  3. Nesseler JP, et al. 2020. Cancers (Basel). 12: . PubMed
  4. Behr FM, et al. 2021. Eur J Immunol. 51:151. PubMed
  5. Herz J, et al. 2021. Neuron. 109:3609. PubMed
  6. Kragten NAM, et al. 2022. Eur J Immunol. 52:389. PubMed
  7. Mirchandani AS, et al. 2022. Nat Immunol. 23:927. PubMed
  8. Du Y, et al. 2022. J Exp Med. 219: . PubMed
  9. Horkova V, et al. 2023. Nat Immunol. 24:174. PubMed
  10. du Halgouet A, et al. 2023. Immunity. 56:78. PubMed
  11. Arimoto KI, et al. 2023. Nat Commun. 14:251. PubMed
  12. Novaj A, et al. 2023. Int J Mol Sci. 24: . PubMed
  13. Sylvester MA, et al. 2022. Am J Physiol Renal Physiol. 322:F245. PubMed
  14. Basu S, et al. 2013. J Immunol Methods. 396:163. PubMed
  15. Bradley CP et al. 2017. Cell host & microbe. 22(5):697-704 . PubMed
  16. Wu J et al. 2017. Immunity. 47(6):1114-1128 . PubMed
  17. Chandran S, et al. 2020. Front Immunol. 11:787. PubMed
  18. Kawabe T, et al. 2020. Nat Commun. 2.795833333. PubMed
  19. Guo A, et al. 2022. Nature. 607:135. PubMed
  20. Shiroshita K, et al. 2022. Cell Rep Methods. 2:100354. PubMed
  21. Guo D, et al. 2023. Cell Biosci. 13:51. PubMed
  22. Haensel D, et al. 2023. Nat Commun. 14:2685. PubMed
  23. Ferrere G, et al. 2021. JCI Insight. 6:. PubMed
  24. Gern BH, et al. 2021. Cell Host Microbe. 29(4):594-606.e6. PubMed
  25. Zinselmeyer B, et al. 2013. J Exp Med. 210:757. PubMed
  26. Viny AD, et al. 2019. Cell Stem Cell. 25:682. PubMed
  27. Page N, et al. 2018. Immunity. 48:937. PubMed
  28. Zhang J, et al. 2021. MedComm (Beijing). 2:256. PubMed
  29. Turner JS et al. 2018. Cell reports. 25(6):1395-1403 . PubMed
  30. Kim TJ, et al. 2019. Nat Commun. 10:3258. PubMed
  31. Baptista AP et al. 2019. Immunity. 50(5):1188-1201 . PubMed
  32. Ersching J et al. 2017. Immunity. 46(6):1045-1058 . PubMed
  33. Blackburn CMR, et al. 2021. Atherosclerosis. 330:76. PubMed
  34. Plumlee CR, et al. 2020. Cell Host Microbe. 29(1):68-82.e5. PubMed
  35. Semmrich M, et al. 2011. Mucosal Immunol. 0.3125. PubMed
  36. Kang S, et al. 2011. J Exp Med. 208:747. PubMed
  37. Böttcher JP, et al. 2018. Cell. 172:1022. PubMed
  38. Inoue D, et al. 2021. Nat Genet. 53:707. PubMed
  39. Rao S, et al. 2017. Cell. 168(3):503-516.e12. PubMed
  40. Liu X, et al. 2021. eLife. 0.416666666666667. PubMed
  41. Hayatsu N et al. 2017. Immunity. 47(2):268-283 . PubMed
  42. Louveau A, et al. 2018. Nat Neurosci. 21:1380. PubMed
  43. Yoshimi A, et al. 2019. Nature. 574:273. PubMed
  44. Ciecko AE, et al. 2019. Cell Rep. 29:3073. PubMed
  45. Salei N, et al. 2020. J Am Soc Nephrol. 31:257. PubMed
  46. Kretschmer B, et al. 2015. Immunobiology. 220: 964-975. PubMed
  47. Panciera T, et al. 2016. Cell Stem Cell. 19:725-737. PubMed
  48. Amor C, et al. 2020. Nature. 583:127. PubMed
  49. He W et al. 2018. Immunity. 49(6):1175-1190 . PubMed
  50. He J, et al. 2020. Cell Reports. 29(9):2718-2730.e6.. PubMed
  51. Kinkel SA, et al. 2022. iScience. 25:104684. PubMed
  52. Trompette A, et al. 2022. Mucosal Immunol. :. PubMed
  53. DeFranco D 2014. Proc Natl Acad Sci U S A. 111:3224. PubMed
  54. Zenke S, et al. 2020. Immunity. 52(2):313-327. PubMed
  55. Di Genua C, et al. 2020. Cancer Cell. 37(5):690-704.e8.. PubMed
  56. Fallet B, et al. 2020. Cell Rep. 30:1013. PubMed
  57. Lagares D, et al. 2017. Sci Transl Med. 9:eaal3765. PubMed
  58. Adams NM et al. 2018. Immunity. 48(6):1172-1182 . PubMed
  59. Kleppe M et al. 2018. Cancer cell. 33(1):29-43 . PubMed
  60. Lee SS, et al. 2022. Commun Biol. 5:654. PubMed
  61. Amos J, et al. 2015. J Virol. 89: 9485-9498. PubMed
  62. Wiedemann GM, et al. 2020. Cell Rep. 33:108498. PubMed
  63. Li Y, et al. 2020. Cell Stem Cell. 27(5):732-747.e7. PubMed
  64. He Y, et al. 2021. Cell Metabolism. 33(5):988-1000.e7. PubMed
  65. Diaz–Salazar C, et al. 2020. Cell Rep. 32:108186. PubMed
  66. Markey K, et al. 2014. J Immunol. 192:5426. PubMed
  67. Frodermann V, et al. 2019. Nat Med. 25:1761. PubMed
  68. Patel S, et al. 2019. Viruses. 0.877083333. PubMed
  69. Cohen SB et al. 2018. Cell host & microbe. 24(3):439-446 . PubMed
  70. Booth CAG, et al. 2018. Cancer Cell. 33:274. PubMed
  71. Duan H, et al. 2021. J Clin Invest. 131:. PubMed
  72. Luck H, et al. 2015. Cell Metab. 21 527 . PubMed
  73. Kruta M, et al. 2021. Cell Stem Cell. :. PubMed
  74. Zaid A,et al. 2017. J Immunol. 10.4049/jimmunol.1700571. PubMed
  75. Zhang H, et al. 2019. Mol Cell. 76:110. PubMed
  76. Horkova V, et al. 2020. Cell Reports. 30(5):1504-1514.e7.. PubMed
  77. Port JR, et al. 2020. J Virol. 94:. PubMed
  78. Schilke RM, et al. 2020. Immunohorizons. 0.624305556. PubMed
  79. XS R, et al. 2015. Diabetes. 64 90. PubMed
  80. Denny JE, et al. 2019. Sci Rep. 2.786111111. PubMed
  81. Gamrekelashvili J, et al. 2021. Bio Protoc. 11:e4007. PubMed
  82. Nadrah K, et al. 2015. PLoS One. 10: 0136061. PubMed
  83. Goldstein JM et al. 2019. Cell reports. 27(4):1254-1264 . PubMed
  84. Lebel MÈ, et al. 2020. Nat Commun. 3.051388889. PubMed
  85. Kwok T, et al. 2022. Front Aging. 3:838943. PubMed
  86. Chen R, et al. 2021. Cell Reports. 34(7):108751. PubMed
  87. Loo CS, et al. 2020. Immunity. 53:143. PubMed
  88. Nabet BY et al. 2017. Cell. 170(2):352-366 . PubMed
  89. Vasamsetti SB, et al. 2018. Immunity. 49:93. PubMed
  90. Gao Z, et al. 2022. J Inflamm Res. 15:3337. PubMed
  91. Jing Y, et al. 2021. Front Immunol. 12:651860. PubMed
  92. X X, et al. 2016. J Immunol . 197: 1683-1691. PubMed
  93. Kurowska-Stolarska M, et al. 2016. J Allergy Clin Immunol. S0091-6749(16)31132-0. PubMed
  94. Guendel F, et al. 2020. Immunity. 53(5):1015-1032.e8. PubMed
  95. Chakraborty M, et al. 2021. Cell Reports. 34(2):108609. PubMed
  96. Urata S, et al. 2018. PLoS Pathog. 14:e1007172. PubMed
  97. Di Genua C, et al. 2019. Haematologica. 104:2215. PubMed
  98. Wilmore JR, et al. 2022. Front Immunol. 12:791095. PubMed
  99. Hobbs BE, et al. 2021. Pathogens. 10:. PubMed
  100. Rustenhoven J, et al. 2021. Cell. 184(4):1000-1016.e27. PubMed
  101. Sebina I, et al. 2016. PLoS Pathog. 12:e1005999. PubMed
  102. Wang Y, et al. 2020. eLife. 9:e57438.. PubMed
  103. Benci JL et al. 2016. Cell. 167(6):1540-1554 . PubMed
  104. Contreras NA, et al. 2019. PLoS Pathog. 15:e1007890. PubMed
  105. Sheppard S, et al. 2021. Cell Reports. 35(9):109210. PubMed
  106. Sparber F, et al. 2019. Cell Host Microbe. 25:389. PubMed
  107. Loo Yau H, et al. 2021. Molecular Cell. 81(7):1469-1483.e8. PubMed
  108. Iwanami N, et al. 2020. iScience. 23:101260. PubMed
  109. Hildreth AD, et al. 2020. STAR Protoc. 1:100113. PubMed
  110. Hidalgo San Jose L, et al. 2020. Cell Rep. 30:69. PubMed
  111. Geary CD et al. 2018. Cell reports. 24(8):1949-1957 . PubMed
  112. Heyde A, et al. 2021. Cell. 184(5):1348-1361.e22. PubMed
  113. Koyama M et al. 2019. Immunity. 51(5):885-898 . PubMed
  114. Mesin L, et al. 2020. Cell. 180(1):92-106.e11.. PubMed
  115. Leruste A, et al. 2020. Cancer Cell. 36(6):597-612.e8.. PubMed
  116. Kubli SP, et al. 2019. Nat Commun. 10:2678. PubMed
  117. Aurélien Trompette et al. 2018. Immunity. 48(5):992-1005 . PubMed
RRID
AB_493730 (BioLegend Cat. No. 109821)
AB_493730 (BioLegend Cat. No. 109822)

Antigen Details

Structure
Protein tyrosine phosphatase (PTP) family, 180-240 kD
Distribution

All hematopoietic cells except mature erythrocytes and platelets of the CD45.2 strain of mice

Function
Phosphatase, T and B cell activation
Ligand/Receptor
Galectin-1, CD2, CD3, CD4
Biology Area
Cell Biology, Immunology, Inhibitory Molecules, Innate Immunity, Neuroscience, Neuroscience Cell Markers
Molecular Family
CD Molecules
Antigen References

1. Suzuki K, et al. 2000. Immunity 13:691.

Gene ID
19264 View all products for this Gene ID
UniProt
View information about CD45.2 on UniProt.org

Other Formats

View All CD45.2 Reagents Request Custom Conjugation
Description Clone Applications
Biotin anti-mouse CD45.2 104 FC
FITC anti-mouse CD45.2 104 FC
PE anti-mouse CD45.2 104 FC
Purified anti-mouse CD45.2 104 FC,Block,IHC-F,IP
APC anti-mouse CD45.2 104 FC
Alexa Fluor® 488 anti-mouse CD45.2 104 FC
Alexa Fluor® 647 anti-mouse CD45.2 104 FC
Pacific Blue™ anti-mouse CD45.2 104 FC
Alexa Fluor® 700 anti-mouse CD45.2 104 FC
APC/Cyanine7 anti-mouse CD45.2 104 FC
PerCP anti-mouse CD45.2 104 FC
PerCP/Cyanine5.5 anti-mouse CD45.2 104 FC
PE/Cyanine7 anti-mouse CD45.2 104 FC
Brilliant Violet 421™ anti-mouse CD45.2 104 FC
Brilliant Violet 570™ anti-mouse CD45.2 104 FC
Brilliant Violet 650™ anti-mouse CD45.2 104 FC
Brilliant Violet 510™ anti-mouse CD45.2 104 FC
Brilliant Violet 785™ anti-mouse CD45.2 104 FC
Brilliant Violet 605™ anti-mouse CD45.2 104 FC
Purified anti-mouse CD45.2 (Maxpar® Ready) 104 FC,CyTOF®
PE/Dazzle™ 594 anti-mouse CD45.2 104 FC
Brilliant Violet 711™ anti-mouse CD45.2 104 FC
Alexa Fluor® 594 anti-mouse CD45.2 104 IHC-F,SB
APC/Fire™ 750 anti-mouse CD45.2 104 FC
TotalSeq™-A0157 anti-mouse CD45.2 104 PG
TotalSeq™-B0157 anti-mouse CD45.2 104 PG
TotalSeq™-C0157 anti-mouse CD45.2 104 PG
Brilliant Violet 750™ anti-mouse CD45.2 104 FC
Spark Blue™ 550 anti-mouse CD45.2 104 FC
Spark NIR™ 685 anti-mouse CD45.2 104 FC
Spark UV™ 387 anti-mouse CD45.2 104 FC
Spark Blue™ 574 anti-mouse CD45.2 (Flexi-Fluor™) 104 FC
Spark Red™ 718 anti-mouse CD45.2 (Flexi-Fluor™) 104 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