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FITC anti-mouse CD62L Antibody

Pricing & Availability
Clone
MEL-14 (See other available formats)
Regulatory Status
RUO
Other Names
L-selectin, LECAM-1, Ly-22, LAM-1, MEL-14
Isotype
Rat IgG2a, κ
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Product Citations
publications
MEL-14
C57BL/6 bone marrow cells stained with MEL-14 FITC
  • MEL-14
    C57BL/6 bone marrow cells stained with MEL-14 FITC
Compare all formats See FITC spectral data
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104405 50 µg £45
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104406 500 µg £140
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Description

CD62L is a 74-95 kD glycoprotein also known as L-selectin, LECAM-1, Ly-22, LAM-1, and MEL-14. It is a member of the selectin family and is expressed on the majority of B and naïve T cells, a subset of memory T cells, monocytes, granulocytes, most thymocytes, and a subset of NK cells. CD62L is important in lymphocyte homing to high endothelial venules (HEV) in peripheral lymph nodes and leukocyte "rolling" on activated endothelium. CD62L also contributes to neutrophil emigration at inflammatory sites. CD62L is rapidly shed from lymphocytes and neutrophils upon cellular activation and the expression levels of CD62L (in conjunction with other markers) have been used to distinguish naïve, effector, and memory T cells. CD62L has been reported to interact with CD34, GlyCAM-1, and MAdCAM-1.

Product Details
Technical Data Sheet (pdf)

Product Details

Verified Reactivity
Mouse
Antibody Type
Monoclonal
Host Species
Rat
Immunogen
C3H/eb mouse B lymphoma 38C-13
Formulation
Phosphate-buffered solution, pH 7.2, containing 0.09% sodium azide.
Preparation
The antibody was purified by affinity chromatography, and conjugated with FITC 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. For flow cytometric staining, the suggested use of this reagent is ≤ 0.25 µg per 106 cells in 100 µl volume. It is recommended that the reagent be titrated for optimal performance for each application.

Excitation Laser
Blue Laser (488 nm)
Application Notes

Additional reported applications (for the relevant formats) include: immunoprecipitation1-3, complement-dependent cytotoxicity4, in vivo and in vitro blocking of adhesion1-3,5, and immunohistochemical staining of acetone-fixed frozen sections and zinc-fixed paraffin-embedded sections6. The Ultra-LEAF™ purified antibody (Endotoxin < 0.01 EU/µg, Azide-Free, 0.2 µm filtered) is recommended for functional assays (Cat. Nos. 104457-104462).

Application References

(PubMed link indicates BioLegend citation)
  1. Gallatin WM, et al. 1983. Nature 304:30. (IP, Block)
  2. Siegelman MH, et al. 1990. Cell 61:611. (IP, Block)
  3. Lewinsohn DM, et al. 1987. J. Immunol. 138:4313. (IP, Block)
  4. Iwabuchi K, et al. 1991. Immunobiology 182:161. (CMCD)
  5. Pizcueta P, et al. 1994. Am. J. Pathol. 145:461.
  6. Reichert RA, et al. 1986. J. Immunol. 136:3535. (IHC, FC)
  7. Olver S, et al. 2006. Cancer Res. 66:571.
  8. Fukushima A, et al. 2006. Invest. Ophthalmol. Vis. Sci. 47:657. PubMed
  9. Benson MJ, et al. 2007. J. Exp. Med. doi:10.1084/jem.20070719. (FC) PubMed
  10. Chappaz S, et al. 2007. Blood doi:10.1182/blood-2007-02-074245. (FC) PubMed
  11. Lee JW, et al. 2006. Nature Immunol. 8:181.
  12. Shigeta A, et al. 2008. Blood 112:4915 (FC) PubMed
  13. de Vries VC, et al. 2009. Am. J. Transplant. 9:2270 PubMed
Product Citations
  1. Wu J et al. 2017. Immunity. 47(6):1114-1128 . PubMed
  2. Furuya Y, et al. 2014. J Virol. 88:9166. PubMed
  3. Xue G, et al. 2021. Cancer Cell. 39:1610. PubMed
  4. Alam A, et al. 2022. Cancer Cell. 40:153. PubMed
  5. Campisi L, et al. 2022. Nature. 606:945. PubMed
  6. Ding D, et al. 2023. J Med Chem. 66:1467. PubMed
  7. Scherer S, et al. 2023. Nat Immunol. 24:501. PubMed
  8. Fu S, et al. 2023. Nat Commun. 14:2248. PubMed
  9. Zhou M, et al. 2023. Nat Commun. 14:3593. PubMed
  10. Zelenka T, et al. 2022. Nat Commun. 13:6954. PubMed
  11. Qi Z, et al. 2022. Nat Commun. 13:182. PubMed
  12. Park JH, et al. 2022. STAR Protoc. 3:101607. PubMed
  13. Andreas N, et al. 2021. Arthritis Res Ther. 23:222. PubMed
  14. Israelow B, et al. 2021. Sci Immunol. 6:eabl4509. PubMed
  15. Achmus L, et al. 2020. Front Neurol. 11:577971. PubMed
  16. Klarquist J, et al. 2021. Cell Rep. 36:109591. PubMed
  17. Menzel L, et al. 2021. Cell Rep. 37:109878. PubMed
  18. Burrack AL, et al. 2019. Cell Rep. 28:2140. PubMed
  19. Kubo M, et al. 2018. Oncol Rep. 39:417. PubMed
  20. Chen Z, et al. 2017. Mucosal Immunol. 10:58. PubMed
  21. Harada Y, et al. 2022. iScience. 25:104021. PubMed
  22. Xu X, et al. 2021. J Nanobiotechnology. 19:376. PubMed
  23. Zhuang Z, et al. 2021. J Exp Med. 218:00:00. PubMed
  24. Flaherty S, Reynolds J 2015. J Vis Exp. 98: 52739. PubMed
  25. Prüfer S, et al. 2014. Immunobiology. 219:87. PubMed
  26. McCreedy DA et al. 2018. eNeuro. 5(4) pii: ENEURO. PubMed
  27. Yang K, et al. 2022. J Clin Invest. 132:. PubMed
  28. Wang B, et al. 2022. Nat Commun. 13:3821. PubMed
  29. Zhang B, et al. 2021. Nat Biomed Eng. 5:1288. PubMed
  30. Cuburu N, et al. 2019. J Immunol. 202:1250. PubMed
  31. Espinosa JR, et al. 2018. Front Immunol. 9:1371. PubMed
  32. Hu Q, et al. 2018. Nat Biomed Eng. 0.660416667. PubMed
  33. Zuo S, et al. 2021. J Immunother Cancer. 9:. PubMed
  34. Brigas HC, et al. 2021. Cell Reports. 36(9):109574. PubMed
  35. Cutler CE, et al. 2019. Glycobiology. 29:776. PubMed
  36. Wan X, et al. 2018. Nature. 560:107. PubMed
  37. Kishore M et al. 2017. Immunity. 47(5):875-889 . PubMed
  38. Cook KD, et al. 2015. Immunity. 43:703-714. PubMed
  39. Wang Y, et al. 2020. Cell Death Dis. 1.169444444. PubMed
  40. Green WD, et al. 2022. J Leukoc Biol. 111:147. PubMed
  41. Frost JN, et al. 2021. Med (N Y). 2:164. PubMed
  42. Kondo M, et al. 2016. J Immunol. 196: 563 - 572. PubMed
  43. Ying Zhang et al. 2017. Cancer cell. 32(3):377-391 . PubMed
  44. Nowill AE, et al. 2019. J Immunol. 203:1298. PubMed
  45. Chakraborty M, et al. 2021. Cell Reports. 34(2):108609. PubMed
  46. Joubert IA, et al. 2020. Vaccine. 38:1015. PubMed
  47. Wu J, et al. 2021. STAR Protoc. 2:101022. PubMed
  48. Liu W, et al. 2022. J Clin Invest. 132: . PubMed
  49. Sema Kurtulus et al. 2018. Immunity. 50(1):181-194 . PubMed
  50. Yu H, et al. 2021. Cell Death Dis. 13:1. PubMed
  51. Wagner AK, et al. 2022. iScience. 25:105137. PubMed
  52. Chryplewicz A, et al. 2022. Cancer Cell. 40:1111. PubMed
  53. Malenica I, et al. 2021. Nat Commun. 12:5209. PubMed
  54. Charlton J, et al. 2015. PLoS One. 10:119200. PubMed
  55. Winter C, et al. 2018. Cell Metab. 28:175. PubMed
  56. Kashiwakura Y, et al. 2020. Clinical & Experimental Immunology. 202(1):119-135. PubMed
  57. Dourcy M, et al. 2020. Mucosal Immunol. 13:799. PubMed
  58. Stienne C, et al. 2022. Cell Rep. 38:110553. PubMed
  59. Bonaccorsi-Riani E, et al. 2015. PLoS One. 10: 0136106. PubMed
  60. Mohammed RN, et al. 2019. Sci Rep. 4.185416667. PubMed
  61. Chen S, et al. 2018. Nat Commun. 9:5298. PubMed
RRID
AB_313092 (BioLegend Cat. No. 104405)
AB_313092 (BioLegend Cat. No. 104406)

Antigen Details

Structure
Selectin, 95 kD (neutrophils) or 74 kD (lymphocytes)
Distribution

Subsets of B and T cells, monocytes, granulocytes, subset of NK cells

Function
Lymphocyte homing to HEV, rolling on activated endothelium
Ligand/Receptor
CD34, GlyCAM-1, MAdCAM-1
Cell Type
B cells, Granulocytes, Monocytes, Neutrophils, NK cells, T cells, Tregs
Biology Area
Cell Adhesion, Cell Biology, Costimulatory Molecules, Immunology, Innate Immunity
Molecular Family
Adhesion Molecules, CD Molecules
Antigen References

1. Barclay AN, et al. 1997. The Leukocyte Antigen FactsBook Academic Press.
2. Kishimoto TK, et al. 1990. P. Natl. Acad. Sci. USA 87:2244.
3. Tedder TF, et al. 1995. J. Exp. Med. 181:2259.

Gene ID
20343 View all products for this Gene ID
UniProt
View information about CD62L on UniProt.org
Go To Top Version: 1    Revision Date: 11/30/2012

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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