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Anti klrg1

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Anti-KLRG1 is a monoclonal antibody that specifically binds to the KLRG1 protein, also known as killer cell lectin-like receptor subfamily G member 1. KLRG1 is expressed on the surface of natural killer cells, T cells, and some dendritic cells, and plays a role in regulating their function. The Anti-KLRG1 antibody can be used for the detection and analysis of KLRG1-expressing cells in various research applications.

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Lab products found in correlation

Anti cd11b, by BioLegend (3 mentions) Anti cd8, by BioLegend (3 mentions) Anti cd44, by BioLegend (3 mentions) Anti cd3, by BioLegend (3 mentions) Anti cd45, by BioLegend (2 mentions) Anti cd8a, by BioLegend (2 mentions) Anti cd4, by BioLegend (2 mentions) Facscanto 2, by BD (2 mentions) Anti cd45, by Thermo Fisher Scientific (1 mentions) Anti cd39, by BioLegend (1 mentions) Anti cd73, by BioLegend (1 mentions) Anti b220, by BD (1 mentions) Anti cxcr5, by BD (1 mentions) Anti pd 1, by Thermo Fisher Scientific (1 mentions) Anti ctla 4, by Thermo Fisher Scientific (1 mentions) Anti t bet, by BioLegend (1 mentions) Anti cd49b, by Thermo Fisher Scientific (1 mentions) Type 1 collagenase, by Sangon (1 mentions) Anti foxp3, by Thermo Fisher Scientific (1 mentions) Fixable viability dye, by Thermo Fisher Scientific (1 mentions)

Spelling variants of this product

KLRG1 (26 citations) Anti-KLRG1 (clone 2F1/KLRG1, (2 citations) Anti-KLRG1 (2F1, (2 citations) Brilliant Violet 785 anti-mouse/human KLRG1 (MAFA) antibody (2 citations)

5 protocols using anti klrg1

1

Comprehensive Immune Profiling of Tumor-Bearing Mice

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The following Abs were used: anti-CTLA-4 (HMCD15201, Thermo Fisher), anti-CD39 (143804, BioLegend), anti-CD8 (553031, BioLegend), anti-CD73 (127220, BioLegend), anti-Tbet (644810, BioLegend), anti-CD44 (103030, BioLegend), anti-KLRG1 (138414, BioLegend), anti-CD11b (101230, BioLegend), anti-CXCR5 (551961, BD Biosciences), anti-CD25 (564571, BD Biosciences), anti-CD4 (553052, BD Biosciences), anti-CD107a/b (553793/558758, BD Biosciences), anti-B220 (561102, BD Biosciences), anti-PD1 (11-9985-81, eBioscience), anti-Foxp3 (50-5773-82, eBioscience), anti-CD11c (17-0114-82, eBioscience), anti-CD45 (12-0451-82, eBioscience), anti-CD49b (25-5971-82, eBioscience) and anti-TCF-1 (2206S, Cell Signaling Technology). Fixable Viability Dye (65-0865-14, eBioscience)-stained cells were excluded from analysis. Tumor-bearing mice were sacrificed; the tumors were sliced and digested with type I collagenase (A004194-0001, Sangon Biotech) for 1 hour at 37°C; and the spleens and dLNs were ground to generate single-cell suspensions. The single-cell suspensions were filtered through 70 µm strainers (352350, BD Biosciences) and stained as described. The stained cells were evaluated by BD FACS Canto II flow cytometry, and the flow cytometry data were analyzed with FlowJo software (Tree Star).
Hu J., He J., Wang Y., Zhao Y., Fang K., Dong Y., Chen Y., Zhang Y., Zhang C., Wang H., Tan J., Wang J., Zi R., Liu C., Liang H., Guo Y, & Ou J. (2022). Ultrasound combined with nanobubbles promotes systemic anticancer immunity and augments anti-PD1 efficacy. Journal for Immunotherapy of Cancer, 10(3), e003408.
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2

Comprehensive Immune Cell Profiling

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Surface staining of the single cell suspensions was performed for 30 min at 4°C, and viability was assessed using LIVE/DEAD Fixable viability dye as per the manufacturer’s instructions (Thermo Fisher Scientific).
The following surface markers antibodies from Biolegend were used: anti-CD3 (clone: 145–2C11), anti-CD4 (RM4–5), anti-CD8a (53–5.8), anti-CD45 (30-F11), anti-CD11b (M1/70), anti-CD11c (N418), anti-CD19 (6D5), anti-TCRβ (H57–597), anti-NK1.1 (PK136), anti-KLRG1 (2F1), anti-PD-1 (29F.1A12), anti-CD25 (PC-61), anti-CD44 (IM7), anti-CD62L (MEL-14), anti-Thy1.1 (OX-7), anti-CCR2 (SA203G11), anti-CXCR3 (CXCR3–173), anti-CXCR5 (L138D7), anti-CXCR6 (SA051D1), anti-CD103 (2E7). Samples were then fixed overnight at 4°C using the using 100 μL of Foxp3 Fix/Perm buffer (eBioscience). After membrane permeabilization using 1X permeabilization buffer (eBioscience) for 5 min, intracellular staining was performed for 120 min at room temperature using the following antibodies: anti-Ctla-4 (UC10–4B9, Biolegend), anti-Helios (22F6, Biolegend), anti-Foxp3 (FJK16, Thermofisher), anti-Gata3 (TWAJ, Thermofisher), anti-RORγ (AFKJS-9, Thermofisher), anti-Ki-67 (16A8, Biolegend). Cells were acquired with an Aurora flow cytometer (Cytek Biosciences) or a FACSymphony flow cytometer (BD Biosciences). Data were analyzed using FlowJo software version 10 (TreeStar, BD LifeSciences).
Leon J., Chowdhary K., Zhang W., Ramirez R.N., André I., Hur S., Mathis D, & Benoist C. (2023). Mutations from patients with IPEX ported to mice reveal different patterns of FoxP3 and Treg dysfunction. Cell reports, 42(8), 113018.
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3

Phenotypic Analysis of Virus-Specific CD8+ T Cells

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Mononuclear cells from blood, spleen and tonsils were stained with fluorochrome-conjugated antibodies (mAbs) specific for cell surface proteins. The following mAbs were used for identification of CD8+ T cells and the determination of their phenotype; anti-CD3, anti-CD8 (Biolegend), anti-CCR7 (R&D Systems), anti-CD45RA (BD Biosciences), anti-CD69, anti-CD25, anti-CD137, anti-HLA-DR, anti-CD103, anti-KLRG-1 and anti-CD11a (all obtained from Biolegend). Fluorochrome-conjugated HLA class I dextramers (Immudex) were used to identify virus-specific CD8+ T cells. EBV-specific CD8+ T cells were identified with dextramers specific for the following viral epitopes; GLCTLVAML (derived from EBV-lytic protein BMLF1), CLGGLLTMV (derived from EBV-latent protein LMP2), RAKFKQLL (derived from EBV-lytic protein BZLF1) and FLRGRAYGL (derived from EBV-latent protein EBNA3A). CMV-specific CD8+ T cells were identified with dextramers specific for the following viral epitopes; NLVPMVATV, TPRVTGGGAM, RPHERNGFTV (all derived from pp65 protein), VLEETSVML, ELRRKMMYM, ELKRKMMYM (all derived from IE-1 protein) and VTEHDTLLY (derived from pp50 protein). Stained cells were analyzed on either FACSCanto II or LSRFortessa flow cytometer (BD Biosciences) and the data processed using FlowJo software (Treestar, Ashland, USA).
Woon H.G., Braun A., Li J., Smith C., Edwards J., Sierro F., Feng C.G., Khanna R., Elliot M., Bell A., Hislop A.D., Tangye S.G., Rickinson A.B., Gebhardt T., Britton W.J, & Palendira U. (2016). Compartmentalization of Total and Virus-Specific Tissue-Resident Memory CD8+ T Cells in Human Lymphoid Organs. PLoS Pathogens, 12(8), e1005799.
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4

Immune Cell Profiling of Pancreatic Islets

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Mouse islet cells were stained with anti-CD45 and biotinylated anti-H2Kd (BD Pharmingen) followed by streptavidin-allophycocyanin (BioLegend). β‐cells were identified by autofluorescence (23 (link)). Dead cells were excluded using propidium iodide. The immune cells infiltrating islets and spleens were stained with anti-CD45, anti-CD3, anti-CD4, anti-CD8a, anti-CD44, anti-CD62L, anti-KLRG-1, anti-CD11b, anti-Ly6G (all BioLegend), anti-BrdU, anti-pSTAT3, and anti-pSTAT5 (all BD Bioscience). Data were collected on the FACS Fortessa cell analyzer (BD Bioscience, San Jose, CA, USA) and were analyzed using FlowJo Software version 10 (TreeStar, Inc, Ashland, OR, USA).
Ge T., Jhala G., Fynch S., Akazawa S., Litwak S., Pappas E.G., Catterall T., Vakil I., Long A.J., Olson L.M., Krishnamurthy B., Kay T.W, & Thomas H.E. (2020). The JAK1 Selective Inhibitor ABT 317 Blocks Signaling Through Interferon-γ and Common γ Chain Cytokine Receptors to Reverse Autoimmune Diabetes in NOD Mice. Frontiers in Immunology, 11, 588543.
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5

Characterizing CD8+ T Cell Subsets

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Day 8 after adoptive transfer, splenocytes were obtained and stain with zombie aqua (Biolegend), anti-CD8 (Biolegend), anti-TCR-Va2 (Biolegend), anti-KLRG1 (Biolegend), and anti-CD127 (Biolegend). Short-lived effector CD8+ T cells and memory precursor effector cells were distinguished by KLRG1 and CD127 staining.
Qin R., Zhao C., Wang C.J., Xu W., Zhao J.Y., Lin Y., Yuan Y.Y., Lin P.C., Li Y., Zhao S, & Huang Y. (2021). Tryptophan potentiates CD8+ T cells against cancer cells by TRIP12 tryptophanylation and surface PD-1 downregulation. Journal for Immunotherapy of Cancer, 9(7), e002840.
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