Mouse B16 tumor cells isolated from in-vivo tumor-bearing mice were stained using the Mouse T Cell Panel consisting of anti-mouse CD45 APC-Cy7, anti-mouse CD3 FITC, anti-mouse CD4 PerCP-Cy5.5 and anti-mouse CD8 APC conjugated antibodies.
To analyze the data:
1. Create an FSC-A vs SSC-A dot plot and draw a gate around the all tumor tissue cells.
2. Create a Fixable Viability Dye 452 (S0B88801) vs SSC-A dot plot with the tumor tissue cells gate applied. Draw a gate around the live cell population.
3. Create a CD3 FITC-A vs SSC-A dot plot show the T cells and apply the CD45+ gate
4. Create a CD4 PerCP-Cy5.5-A vs CD8 APC-A dot plot and apply the CD3+ gate to identify the T cells subpopulations.
Mouse T Cell Panel kit
Mouse T Cell Panel kit
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Regular price
$200 USD
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$200 USD
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Product Details
Product Details
Product Specification
| Application | FCM |
| Reactivity | Ms |
| Physical Appearance | Liquid |
| Storage Buffer | PBS, 1% BSA, 0.09% sodium azide |
| Stability & Storage | 12 months from date of receipt / reconstitution, 2 to 8 °C as supplied. |
Background
This four‑color panel is designed for detecting T‑cell subpopulations in mouse tissue cells. CD45 serves as a pan-leukocyte marker. CD3 was included as a general T‑cell marker, and CD4 and CD8 were included to identify helper T‑cell and cytotoxic T‑cell subpopulations. The panel is compatible with most two‑laser flow cytometers. If desired, the panel can serve as a backbone panel, allowing for the addition of antibodies conjugated to various fluorophores to detect other markers of interest.
Picture
Picture
FC
Mouse hepatocytes were stained using the Mouse T Cell Panel consisting of anti-mouse CD45 APC-Cy7, anti-mouse CD3 FITC, anti-mouse CD4 PerCP-Cy5.5 and anti-mouse CD8 APC conjugated antibodies.
To analyze the data:
1. Create an FSC-A vs SSC-A dot plot and draw a gate around the tissue cells excluding cellular debris.
2. Create a Fixable Viability Dye 452 (S0B88801) vs SSC-A dot plot with the tissue cells gate applied. Draw a gate around the live cell population.
3. Create a CD3 FITC-A vs SSC-A dot plot show the T cells and apply the CD45+ gate
4. Create a CD4 PerCP-Cy5.5-A vs CD8 APC-A dot plot and apply the CD3+ gate to identify the T cells subpopulations.
Mouse pulmonary cells were stained using the Mouse T Cell Panel consisting of anti-mouse CD45 APC-Cy7, anti-mouse CD3 FITC, anti-mouse CD4 PerCP-Cy5.5 and anti-mouse CD8 APC conjugated antibodies.
To analyze the data:
1. Create an FSC-A vs SSC-A dot plot and draw a gate around the tissue cells excluding cellular debris.
2. Create a Fixable Viability Dye 452 (S0B88801) vs SSC-A dot plot with the tissue cells gate applied. Draw a gate around the live cell population.
3. Create a CD3 FITC-A vs SSC-A dot plot show the T cells and apply the CD45+ gate
4. Create a CD4 PerCP-Cy5.5-A vs CD8 APC-A dot plot and apply the CD3+ gate to identify the T cells subpopulations.
Mouse splenocytes were stained using the Mouse T Cell Panel consisting of anti-mouse CD45 CD45 APC-Cy7, anti-mouse CD3 FITC, anti-mouse CD4 PerCP-Cy5.5 and anti-mouse CD8 APC conjugated antibodies.
To analyze the data:
1. Create an FSC-A vs SSC-A dot plot and draw a gate around the lymphocyte population.
2. Create a Fixable Viability Dye 452 (S0B88801) vs SSC-A dot plot with the leukocyte gate applied. Draw a gate around the live cell population.
3. Create a CD3 FITC-A vs SSC-A dot plot show the T cells and apply the CD45+ gate
4. Create a CD4 PerCP-Cy5.5-A vs CD8 APC-A dot plot and apply the CD3+ gate to identify the T cells subpopulations.
Mouse intestinal cells were stained using the Mouse T Cell Panel consisting of anti-mouse CD45 APC-Cy7, anti-mouse CD3 FITC, anti-mouse CD4 PerCP-Cy5.5 and anti-mouse CD8 APC conjugated antibodies.
To analyze the data:
1. Create an FSC-A vs SSC-A dot plot and draw a gate around the tissue cells excluding cellular debris.
2. Create a Fixable Viability Dye 452 (S0B88801) vs SSC-A dot plot with the tissue cells gate applied. Draw a gate around the live cell population.
3. Create a CD3 FITC-A vs SSC-A dot plot show the T cells and apply the CD45+ gate
4. Create a CD4 PerCP-Cy5.5-A vs CD8 APC-A dot plot and apply the CD3+ gate to identify the T cells subpopulations.
DLS
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