Cd3e fitc

Manufactured by BioLegend

CD3e-FITC is a fluorescently labeled antibody that binds to the CD3 epsilon chain, a component of the T cell receptor complex. It is commonly used in flow cytometry applications to identify and characterize T cell populations.

Automatically generated - may contain errors

Lab products found in correlation

Ly6g pe cy7, by BD (4 mentions) F4 80 apc, by Thermo Fisher Scientific (2 mentions) Cd4 apc, by Thermo Fisher Scientific (2 mentions) Cd11b pe, by Thermo Fisher Scientific (2 mentions) Cd11b fitc, by Thermo Fisher Scientific (2 mentions) Ly6c fitc or apc cy7, by BD (2 mentions) Cd45r b220 pacific blue, by BD (2 mentions) Ccr2 alexafluor647, by BD (2 mentions) Cd4 l3t4 fitc, by Thermo Fisher Scientific (2 mentions) Cd3e apc cy7, by BD (2 mentions) Cx3cr1 apc, by BD (2 mentions) Nk1 1 percp cy5, by Thermo Fisher Scientific (2 mentions) Ariaiii, by Tree Star (2 mentions) Pd 1 pe, by BioLegend (2 mentions) Cd4 vioblue, by Miltenyi Biotec (2 mentions) Viobility 405 520 fixable dye, by Miltenyi Biotec (2 mentions) Cd45.2 apc cy7, by BioLegend (2 mentions) Cd8a pe vio615, by Miltenyi Biotec (2 mentions) Tim3 apc, by Miltenyi Biotec (2 mentions) Cd4 apc, by BioLegend (2 mentions)

Spelling variants of this product

Anti-CD3E-FITC (4 citations) FITC-anti-CD3e (clone UCHT1); (2 citations)

11 protocols using cd3e fitc

Multiparameter Flow Cytometry Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

Cell suspensions were treated with anti CD16/CD32 (2.4G2) and then surface stained with combinations of the following fluorochrome-conjugated antibodies: From Biolegend: CD3e–FITC (clone: 145 2C11), Ly6C–FITC or APC/Cy7 (clone: HK1.4), Ly6G–PE/Cy7 (clone: 1A8), CD3e–APC/Cy7 (clone: 145 2C11), CD45R/B220–Pacific Blue (clone: RA3 6B2), CCR2-AlexaFluor647 (clone: SA203G11), CX3CR1-APC (clone: SA011F11), IgG2A,κ-APC isotype control; from BD Biosciences: NK1.1–PerCP/Cy5.5 (clone: PK136); from Ebiosciences: F4/80–APC (clone: BM8), CD4 (L3T4)–FITC (clone: RM4 5), CD11b–FITC (clone: M1/70), CD11b–PE (clone: M1/70), CD4–APC (clone: GK1.5). Cells were acquired on FACSCanto or AriaIII flow cytometers using FACSDiVa software, and data were analyzed using FlowJo software (Tree Star).

Seregin S.S., Golovchenko N., Schaf B., Chen J., Eaton K.A, & Chen G.Y. (2016). NLRP6 function in inflammatory monocytes reduces susceptibility to chemically-induced intestinal injury. Mucosal immunology, 10(2), 434-445.

+ Open protocol

+ Expand

Analyzing Tumor Immune Microenvironment

Check if the same lab product or an alternative is used in the 5 most similar protocols

To study the immune cells in distant tumors, right tumors were harvested from mice in different groups (n = 5) and stained with Viobility 405/520 Fixable Dye (Miltenyi), CD45.2 APC-CY7 (Biolegend, Clone: 104), CD3e FITC (Biolegend, Clone: 17A2), CD8a PE-vio615 (Miltenyi, Clone: REA601), PD-1 PE (Biolegend, Clone: 29F.1A12), TIM3 APC (Miltenyi, Clone: REA602), CD4 VioBlue (Miltenyi, Clone: REA604), and Foxp3 Alexa Fluor 700(Biolegend, Clone: MF-14.1A12) antibodies, according to the manufacturer's protocols.
Briefly, tumor tissues were cut into small pieces and digested with collagenase and DNase. Then, cell suspension was filtered through a 75-μm cell mesh and resuspended in PBS (pH 7.4) with 0.5% FBS for further analysis. Flow cytometric analysis was performed using a FACS LSRFortessa flow cytometer (BD).
Tumor-infiltrating cytotoxic T lymphocytes (CTL) and helper T cells were CD45⁺CD3⁺CD4⁻CD8⁺ and CD45⁺CD3⁺CD4⁺CD8⁻, respectively. Then, the expressions of PD-1 and TIM-3 in cytotoxic T lymphocytes were analyzed. Further, CD4⁺ helper T cells were classified into regulatory T cells (Tregs) (CD3⁺CD4⁺Foxp3⁺) and effective T cells (CD3⁺CD4⁺Foxp3⁻).

Huang T.Y., Huang G.L., Zhang C.Y., Zhuang B.W., Liu B.X., Su L.Y., Ye J.Y., Xu M., Kuang M, & Xie X.Y. (2020). Supramolecular Photothermal Nanomedicine Mediated Distant Tumor Inhibition via PD-1 and TIM-3 Blockage. Frontiers in Chemistry, 8, 1.

+ Open protocol

+ Expand

Comprehensive Immune Cell Profiling of Adipose and Liver Tissues

Check if the same lab product or an alternative is used in the 5 most similar protocols

Liver and epigonadal visceral white adipose tissues were prepared for flow cytometry after cardiac perfusion with 10 mL HBSS (5 mM HEPES, 0.5 mM EDTA), as described (27 ). Following mechanical disruption, tissue was Liberase (Roche)-digested for 30 minutes at 37°C (shaking at 130 RPM) and filtered. Cells were separated on a 40% iodixanol density gradient by centrifugation at 1038 g for 25 minutes (no brake). Cells were blocked with anti-CD16/32, stained with Zombie Aqua (Biolegend) and antibodies (Biolegend): F4/80-FITC (BM8), Ly6C-PerCP/Cy5.5 (HK1.4), CD19-PE/Cy7 (6D5), CD11c-APC (N418), CD11b-AF700 (c1/70), I-A/I-E-APC/Cy7 (M5/114.15.2), CD45-PacBlue (30-F11), Ly6G-BV605 (1A8), CD3e-FITC (145–2C11), CD62L-PE-dazzle (MEL-14), CD8a-PerCP/Cy5.5 (53–6.7), PD-1-PE/Cy7 (29F.1A12), CD4-APC (GK1.5), CD44-BV605 (IM7). Beckman Coulter CytoFLEX and FlowJo were used to assess immune cell populations using the following gating strategy: Cells, singlets, live cells, CD4⁺ T cells (CD45⁺CD3e⁺CD4⁺), CD8⁺ T cells (CD45⁺CD3e⁺CD8⁺), B cells (CD45⁺CD19⁺), Kupffer cells (liver only, CD45⁺F480^hiCD11b^lo), macrophages (CD45⁺F480^intCD11b^hiLy6c^lo), inflammatory monocytes (CD45⁺F480^intCD11b^hiLy6c^hi), dendritic cells (CD45⁺F480⁻CD11c⁺MHCII⁺), and neutrophils (CD45⁺F480⁻CD11b⁺ Ly6G⁺SSC^hi).

Melchor S.J., Saunders C.M., Sanders I., Hatter J.A., Byrnes K.A., Coutermarsh-Ott S, & Ewald S.E. (2020). IL-1R regulates disease tolerance and cachexia in T. gondii infection. Journal of immunology (Baltimore, Md. : 1950), 204(12), 3329-3338.

+ Open protocol

+ Expand

Tissue Dissociation and Cell Isolation

Check if the same lab product or an alternative is used in the 5 most similar protocols

Splenocytes were isolated by mincing and mechanical dissociation of tissue through a 40-mm cell strainer. Cells were isolated into phosphate-buffered saline with 1% bovine serum albumin, 2 mM EDTA, and 25 mM HEPES. Red cells were removed by ammonium-chloride-potassium lysis. Cells were then stained with either a myeloid marker panel (CD45-BV421, CD11b-BV605, Ly6C-FITC, Ly6G-PECy7; BioLegend) or lymphoid marker panel (CD45-BV421, CD11b-BV605, B220-PE, CD3e-FITC; BioLegend). Cells were analyzed on an Attune cytometer and reported as the percentage of CD45 cells.

Hill A., Khalil H., Laborc K., Kounelis-Wuillaume S., Gavade S., Johnston C., Singer B.H, & Spencer-Segal J.L. (2023). Corticosteroid Treatment During Sepsis Alters Hippocampal Function in Male and Female Survivors. Biological Psychiatry Global Open Science, 4(1), 336-345.

+ Open protocol

+ Expand

Fluorescent Antibody Staining for Flow Cytometry and IHC

Check if the same lab product or an alternative is used in the 5 most similar protocols

Monoclonal fluorophore-conjugated antibodies used for flow cytometry were obtained from BD Biosciences (CD11b-APC-Cy7, CD45-PeCy7, CD11c-BV421, CD274-APC, CD69-APC, CD44-PeCy7 or FITC, CD184-PE, CD3e-FITC, Ly-6c-PE, Ly-6G-APC) and BioLegend (CD8a-BV785, CD45-PerCP, and ENPP1-BV421). For immunohistochemistry, rabbit anti-Iba1 monoclonal antibody (Abcam # ab178846) was used at 1: 500 dilution. Rat anti-mouse LAMP1 monoclonal Ab was obtained from the Hybridoma Bank (Cat # 1D4B) and used at 1: 250 dilution. Mouse anti-CD68 monoclonal Ab (Abcam # ab955) was used at 1: 200 dilution. To identify amyloid plaques, anti-Aβ monoclonal 4G8 (Aβ 17–42) antibody (Signet Cat # 9220–02) was used at 1: 1000 dilution. Secondary anti-mouse, anti-goat and anti-rabbit antibodies (Jackson labs and Sigma-Aldrich) were used for immunohistochemistry. In immunofluorescence studies, Rhodamine-conjugated donkey anti-rat IgG (1: 500), Alexa-488-conjugated goat anti-rabbit (1: 500), and DyLight 405-conjugated donkey anti-mouse (1: 500) were used as secondary antibodies. Fluorescent-labeled Aβ₄₂ fibrils for immunofluorescence studies were prepared as described below and FITC filter was used to observe Aβ fluorescence.

Rangaraju S., Dammer E.B., Raza S.A., Rathakrishnan P., Xiao H., Gao T., Duong D.M., Pennington M.W., Lah J.J., Seyfried N.T, & Levey A.I. (2018). Identification and therapeutic modulation of a pro-inflammatory subset of disease-associated-microglia in Alzheimer’s disease. Molecular Neurodegeneration, 13, 24.

+ Open protocol

+ Expand

Multiparameter Flow Cytometry Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

+ Open protocol

+ Expand

Comprehensive Immune Cell Profiling

Check if the same lab product or an alternative is used in the 5 most similar protocols

Intestinal and mesenteric lymph node immune cell populations were characterised by flow cytometry. For intracellular cytokine staining, cells were incubated in T cell media (RPMI, 10% FBS, 1 mM sodium pyruvate, 2mM GLUTamax, 1X non-essential amino acids, 0.1 mM 2-β-mercaptoethanol, 10 mM HEPES, 1%Penicillin/Streptomycin) + 1X Cell Stimulation Cocktail with Protein Inhibitors (eBioscience) for 3 hours at 37°C before staining. Non-viable cells were stained using Live/Dead Fixable Aqua. Cells were permeabilised with CytoFix/CytoPerm (BD) followed by intracellular staining in PermBuffer (eBioscience).
All antibodies were purchased from eBioscience unless otherwise indicated. Antibodies used were CD45-SB600, TCRb-APC-Cy7, MHCII-FITC, CD4-PE-Cy7, CD8a-AF700, CD8b-PE, IFNg-PerCP-Cy5.5, TNFa-APC, IL-17A-bv421 (BioLegend), CD3e-FITC, TCRg-FITC, B220-FITC, MHCII-APC-e780, CD11b-PerCP-Cy5.5, CD11c-AF700, CD64-APC (BioLegend), SiglecF-PE (BD), Ly6G-Pe-Cy7 (BD) and F4/80-e450. Sample data were acquired with an Attune NxT flow cytometer coupled with an Attune CytKick Max autosampler. Data were analysed using FlowJo v10. Antibody details and concentrations are included in Supplementary Table 1.

Forster S.C., Clare S., Beresford-Jones B.S., Harcourt K., Notley G., Stares M.D., Kumar N., Soderholm A.T., Adoum A., Wong H., Morón B., Brandt C., Dougan G., Adams D.J., Maloy K.J., Pedicord V.A, & Lawley T.D. (2022). Identification of gut microbial species linked with disease variability in a widely used mouse model of colitis. Nature Microbiology, 7(4), 590-599.

+ Open protocol

+ Expand

Immune Cell Profiling in Intestine and Lymph Nodes

Check if the same lab product or an alternative is used in the 5 most similar protocols

Intestinal and mesenteric lymph node immune cell populations were characterized by flow cytometry. For intracellular cytokine staining, cells were incubated in T cell medium (RPMI, 10% FBS, 1 mM sodium pyruvate, 2 mM GLUTamax, 1× nonessential amino acids, 0.1 mM 2-β-mercaptoethanol, 10 mM HEPES, 1% penicillin/streptomycin) + 1× Cell Stimulation Cocktail with Protein Inhibitors (eBioscience) for 3 h at 37 °C before staining. Nonviable cells were stained using Live/Dead Fixable Aqua. Cells were permeabilized with CytoFix/CytoPerm (BD), followed by intracellular staining in PermBuffer (eBioscience).
All antibodies were purchased from eBioscience unless otherwise indicated. Antibodies used were CD45-SB600, TCRb-APC-Cy7, MHCII-FITC, CD4-PE-Cy7, CD8a-AF700, CD8b-PE, IFNg-PerCP-Cy5.5, TNFa-APC, IL-17A-bv421 (BioLegend), CD3e-FITC, TCRg-FITC, B220-FITC, MHCII-APC-e780, CD11b-PerCP-Cy5.5, CD11c-AF700, CD64-APC (BioLegend), SiglecF-PE (BD), Ly6G-Pe-Cy7 (BD) and F4/80-e450. Sample data were acquired with an Attune NxT flow cytometer coupled with an Attune CytKick Max autosampler. Data were analyzed using FlowJo v.10. Antibody details and concentrations are included in Supplementary Table 1.

+ Open protocol

+ Expand

Flow Cytometry Surface Staining

Check if the same lab product or an alternative is used in the 5 most similar protocols

For surface staining, cells were washed and stained for 30 min with fluorescently conjugated monoclonal antibodies (mAbs). The mAbs of human targets for flow cytometry were as follows: CD4-APC (300,514, BioLegend), CD3E-FITC (300,405, BioLegend), HLA-DR-PE (307,605, BioLegend), CD25 (IL-2R)-PEcy7 (302,611, BioLegend). After staining, cells were washed in cold phosphate-buffered saline (PBS).

Liang P., Wu Y., Qu S., Younis M., Wang W., Wu Z, & Huang X. (2024). Exploring the biomarkers and potential therapeutic drugs for sepsis via integrated bioinformatic analysis. BMC Infectious Diseases, 24, 32.

+ Open protocol

+ Expand

Tumor Tissue Dissociation and Immune Cell Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

Example 10

Tumor tissues were digested by 1 mg/mL collagenase IV (Sigma-Aldrich) and 0.2 mg/mL DNase I (Sigma-Aldrich) for 45 min at 37° C. Cells were then stained with anti-CD16/CD32 (Biolegend, Cat #: 101301, clone: 93), Viobility 405/520 Fixable Dye (Miltenyi), CD45.2 APC-CY7 (Biolegend, Clone: 104), CD3e FITC (Biolegend, Clone: 17A2), CD8a PE-vio615 (Miltenyi, Clone: REA601), Tetramer/PE—He2Db HPV 16 E7 (RAHYNIVTF) (MBL), PD-1 PE (Biolegend, Clone: 29F.1A12), TIM-3 APC (Miltenyi, Clone: REA602), CD4 VioBlue (Miltenyi, Clone: REA604), and Foxp3 PE (Miltenyi, Clone: REA788) antibodies, according to the manufacturer's protocols. Flow data were collected on a BD™ FACS LSRFortessa SORP flow cytometer and analyzed with FlowJo (Tree Star Inc., Ashland, Oreg.).

US11786464B2. PH responsive block copolymer compositions and micelles that inhibit MCT 1 and related proteins (2023-10-17). The Board of Regents of the University of Texas System [US]. Inventors: Jinming Gao [US], Tongyi Huang [US], Qiang Feng [US], Baran Sumer [US].

+ Open protocol

+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!