16-0577-85

antibody from Invitrogen Antibodies

Targeting: B3GAT1 CD57, GlcAT-P, HNK-1, LEU7, NK-1

Flow cytometry (Recommended by provider)

Other assay (Supportive data in Antibodypedia)

Antibody Data

Product number

16-0577-85

Provider

Invitrogen Antibodies

Product name

CD57 Monoclonal Antibody (TB01 (TBO1)), Functional Grade, eBioscience™

Antibody type

Monoclonal

Antigen

Other

Description

Description: This TB01 monoclonal antibody reacts with human CD57 (also known as HNK-1 and Leu-7), a 110-kDa cell surface glycoprotein expressed on a subset of natural killer (NK) cells and NK T cells. Applications Reported: This TB01 antibody has been reported for use in flow cytometric analysis. Applications Tested: This TB01 (TBO1) antibody has been tested by flow cytometric analysis of normal human peripheral blood cells. This can be used at less than or equal to 1 µg per test. A test is defined as the amount (µg) of antibody that will stain a cell sample in a final volume of 100 µL. Cell number should be determined empirically but can range from 10^5 to 10^8 cells/test. It is recommended that the antibody be carefully titrated for optimal performance in the assay of interest. Storage and handling: Use in a sterile environment. Filtration: 0.2 µm post-manufacturing filtered. Purity: Greater than 90%, as determined by SDS-PAGE. Endotoxin Level: Less than 0.001 ng/µg antibody, as determined by LAL assay. Aggregation: Less than 10%, as determined by HPLC.

Reactivity

Human

Host

Mouse

Isotype

IgM

Antibody clone number

TB01 (TBO1)

Vial size

500 µg

Concentration

1 mg/mL

Storage

4° C

References

Submitted references

Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir.

Neidleman J, Luo X, Frouard J, Xie G, Hsiao F, Ma T, Morcilla V, Lee A, Telwatte S, Thomas R, Tamaki W, Wheeler B, Hoh R, Somsouk M, Vohra P, Milush J, James KS, Archin NM, Hunt PW, Deeks SG, Yukl SA, Palmer S, Greene WC, Roan NR
eLife 2020 Sep 29;9

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Tumor- and cytokine-primed human natural killer cells exhibit distinct phenotypic and transcriptional signatures.

Sabry M, Zubiak A, Hood SP, Simmonds P, Arellano-Ballestero H, Cournoyer E, Mashar M, Pockley AG, Lowdell MW
PloS one 2019;14(6):e0218674

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Unique transcriptional and protein-expression signature in human lung tissue-resident NK cells.

Marquardt N, Kekäläinen E, Chen P, Lourda M, Wilson JN, Scharenberg M, Bergman P, Al-Ameri M, Hård J, Mold JE, Ljunggren HG, Michaëlsson J
Nature communications 2019 Aug 26;10(1):3841

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TCF1 expression marks self-renewing human CD8(+) T cells.

Kratchmarov R, Magun AM, Reiner SL
Blood advances 2018 Jul 24;2(14):1685-1690

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Composition and dynamics of the uterine NK cell KIR repertoire in menstrual blood.

Ivarsson MA, Stiglund N, Marquardt N, Westgren M, Gidlöf S, Björkström NK
Mucosal immunology 2017 Mar;10(2):322-331

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Mass Cytometric Analysis of HIV Entry, Replication, and Remodeling in Tissue CD4+ T Cells.

Cavrois M, Banerjee T, Mukherjee G, Raman N, Hussien R, Rodriguez BA, Vasquez J, Spitzer MH, Lazarus NH, Jones JJ, Ochsenbauer C, McCune JM, Butcher EC, Arvin AM, Sen N, Greene WC, Roan NR
Cell reports 2017 Jul 25;20(4):984-998

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The Human NK Cell Response to Yellow Fever Virus 17D Is Primarily Governed by NK Cell Differentiation Independently of NK Cell Education.

Marquardt N, Ivarsson MA, Blom K, Gonzalez VD, Braun M, Falconer K, Gustafsson R, Fogdell-Hahn A, Sandberg JK, Michaëlsson J
Journal of immunology (Baltimore, Md. : 1950) 2015 Oct 1;195(7):3262-72

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Cutting edge: identification and characterization of human intrahepatic CD49a+ NK cells.

Marquardt N, Béziat V, Nyström S, Hengst J, Ivarsson MA, Kekäläinen E, Johansson H, Mjösberg J, Westgren M, Lankisch TO, Wedemeyer H, Ellis EC, Ljunggren HG, Michaëlsson J, Björkström NK
Journal of immunology (Baltimore, Md. : 1950) 2015 Mar 15;194(6):2467-71

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A novel method for autophagy detection in primary cells: impaired levels of macroautophagy in immunosenescent T cells.

Phadwal K, Alegre-Abarrategui J, Watson AS, Pike L, Anbalagan S, Hammond EM, Wade-Martins R, McMichael A, Klenerman P, Simon AK
Autophagy 2012 Apr;8(4):677-89

Other assay

Supportive validation

Submitted by

Invitrogen Antibodies (provider)

Main image

Experimental details

NULL

Supportive validation

Submitted by

Invitrogen Antibodies (provider)

Main image

Experimental details

NULL

Supportive validation

Submitted by

Invitrogen Antibodies (provider)

Main image

Experimental details

Figure 5. Design of tailored sort strategies to isolate three populations memory CD4+ PD1+ T cells harboring different frequencies of kNN latent cells. Sort strategies were designed for each of the four leukapheresis donors analyzed by PP-SLIDE. Shown are the CyTOF datasets, the unstimulated atlas cells are shown as gray contours and kNN latent cells shown as red contours. Gates in black correspond to upstream gates. Each sorting strategy isolates three populations of memory CD4+ PD1+ T cells: two disenriched ( pink , purple ), and one enriched ( red ). Results were pre-gated on live, singlet memory CD4+ T cells (CD3+CD8-CD19-CD45RO+CD45RA-). The three functional assays applied to sorted cells are listed. The gray inset on the right shows frequencies of kNN latent cells in the final enriched populations (per million memory CD4+ T cells) and the fold-enrichment of kNN latent cells in the final sorted enriched population relative to each of the disenriched populations. In instances where a disenriched population did not harbor any kNN cells, the fold-enrichment is listed as NA (not available) because the fold-enrichment is infinity when divided by zero.

Supportive validation

Submitted by

Invitrogen Antibodies (provider)

Main image

Experimental details

Figure 5. Aging and replicative senescence markers in human T lymphocytes. PBMCs from healthy young (< 28 y) and old (> 56 y) donors were stained for CD28 and CD57 and run on LSR II flow cytometer. (A) Autophagy levels (Mean BDS) in CD8 + T cells from young (< 28 y, n = 8) and old (> 56 y, n = 8) donors under basal and basal+I (for 2 h) conditions (mean +- SEM, *p < 0.0499 between young and old basal+I). (B) Representative dot plots from a young and an old donor showing percentages of CD28 and CD57 cells gated on CD8 + T cells. (C) Bar graph showing % of CD8 + lymphocytes with CD28 and CD57 markers in four young and old donors (mean +- SEM, p = 0.0571 for CD8 CD28 population and *p = 0.0286 for CD8 CD57 population). (D) Overlaid histogram of gammaH2AX (DNA double-strand break) levels of CD8 + lymphocytes from three young and old donors gated on CD28 + CD57 - population (geometric mean +- SEM, *p = 0.0286). (E) Overlaid histogram of FAS (CD95) levels of CD8 + lymphocytes from four young and old donors gated on CD28 + CD57 - population (geometric mean +- SEM, *p = 0.0286). PBMCs from four healthy young and old donors were cultured under control and starved conditions for 2 h and stained for CD8, CD57, LC3 and Lyso-ID. (F) Colocalization of LC3 and lysosomal marker in CD8 + CD57 +/- cells, expressed as mean BDS ratio between starved and basal treatments (mean +- SEM, n = 5 (young donors), n = 8 (old donors), **p = 0.0049, *p = 0.035).

Supportive validation

Submitted by

Invitrogen Antibodies (provider)

Main image

Experimental details

Figure 6. Levels of gammaH2AX foci in senescent T cells with low autophagy. PBMCs from three healthy donors were bead sorted for CD8 + T cells and stained for CD57 gammaH2AX, LC3 and Lyso-ID and run on ImageStream. (A) Representative BDS overlay histogram for CD8 + CD57 + (red) for CD8 + CD57 - (green) depicts the low and high autophagy gates. (B) Bar graph showing proportion of CD8 + CD57 +/- lymphocytes with low and high autophagy in three healthy donors (mean +- SEM, **p = 0.0029, *p = 0.0273). (C) Bar graph showing mean gammaH2AX foci/cell in low and high autophagy CD8 + CD57 + , CD8 + CD57 - populations (geometric mean +- SEM, **p = 0.0057 and **p = 0.0087, respectively). (D) Representative ImageStream images of gammaH2AX foci in CD8 + lymphocytes from young and old cells.

Supportive validation

Submitted by

Invitrogen Antibodies (provider)

Main image

Experimental details

Fig. 2 Human CD69 + CD16 - lung NK cell subsets have unique characteristics. a Representative overlays and b summary of data of expression of NKG2A and CD57 on CD16 - human lung CD69 - CD49a - CD103 - ( n = 20 for both), CD69sp ( n = 20 for both), CD69 + CD49a + CD103 - ( n = 14 and n = 13, respectively), and CD69 + CD49a + CD103 + ( n = 17 and n = 15, respectively) NK cells. CD56 dim CD16 + NK cells are shown for comparison ( n = 20 and n = 19, respectively). Numbers in a indicate %NKG2A + and %CD57 + NK cells, respectively. c Representative overlays and d summary of mean fluorescence intensity (MFI) of CD56 ( n = 18 for CD16 - CD69 - CD49a - CD103 - NKG2A + CD57 - , n = 21 for CD69 + CD49a - CD103 - CD16 - , n = 16 for CD69 + CD49a + CD103 - CD16 - , n = 19 for CD69 + CD49a + CD103 + CD16 - , and n = 20 for CD56 dim CD16 + ), CXCR3 ( n = 3) and CXCR6 ( n = 7) on human lung CD69 - CD49a - CD103 - NKG2A + CD57 - , CD69sp, CD69 + CD49a + CD103 - , and CD69 + CD49a + CD103 + NK cells within the CD16 - subset. e Representative overlay and f summary of MFI of perforin expression in CD16 - CD69 - CD49a - CD103 - NKG2A + CD57 - , CD69spCD16 - , CD69 + CD49a + CD103 - CD16 - , CD69 + CD49a + CD103 + CD16 - , and CD69 - CD49a - CD103 - CD16 + NK cells in human lung ( n = 5). CD127 + CD161 + cells from lung tissue are shown as a comparison ( n = 5). g Representative overlays and h summary of MFI of Eomes (left panel) (CD16 - CD69