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EasySep™ Mouse CD8+ T Cell Isolation Kit

17.5-Minute cell isolation kit using immunomagnetic negative selection

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From: 620 USD


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17.5-Minute cell isolation kit using immunomagnetic negative selection
From: 620 USD

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The EasySep™ Mouse CD8+ T Cell Isolation Kit is designed to isolate CD8+ T cells from single-cell suspensions of splenocytes or other tissues by negative selection. Unwanted cells are targeted for removal with biotinylated antibodies directed against non-CD8+ T cells and streptavidin-coated magnetic particles (RapidSpheres™ ). Labeled cells are separated using an EasySep™ magnet without the use of columns. Desired cells are poured off into a new tube.

This product replaces the EasySep™ Mouse CD8+ T Cell Enrichment Kit (Catalog #19753) for even faster cell isolations.
• Fast and easy-to-use
• Up to 95% purity
• No columns required
• Untouched, viable cells
  • EasySep™ Mouse CD8+ T Cell Isolation Kit (Catalog #19853)
    • EasySep™ Mouse CD8+ T Cell Isolation Cocktail, 0.5 mL
    • EasySep™ Streptavidin RapidSpheres™ 50001, 2 x 1 mL
    • Normal Rat Serum, 2 mL
  • RoboSep™ Mouse CD8+ T Cell Isolation Kit (Catalog #19853RF)
    • EasySep™ Mouse CD8+ T Cell Isolation Cocktail, 0.5 mL
    • EasySep™ Streptavidin RapidSpheres™ 50001, 2 x 1 mL
    • Normal Rat Serum, 2 mL
    • RoboSep™ Buffer (Catalog #20104)
    • RoboSep™ Filter Tips (Catalog #20125)
Magnet Compatibility:
• EasySep™ Magnet (Catalog #18000)
• “The Big Easy” EasySep™ Magnet (Catalog #18001)
• EasyPlate™ EasySep™ Magnet (Catalog 18102)
• EasyEights™ EasySep™ Magnet (Catalog #18103)
• RoboSep™-S (Catalog #21000)
Cell Isolation Kits
Cell Type:
T Cells; T Cells, CD8+
Sample Source:
Other; Spleen
Selection Method:
Cell Isolation
EasySep; RoboSep
Area of Interest:

Scientific Resources

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Frequently Asked Questions

Can EasySep™ Streptavidin RapidSpheres™ be used for either positive or negative selection?

Currently, EasySep™ Streptavidin RapidSphere™ kits are only available for negative selection and work by targeting and removing unwanted cells.

How does the separation work?

Streptavidin RapidSphere™ magnetic particles are crosslinked to unwanted cells using biotinylated antibodies. When placed in the EasySep™ Magnet, labeled cells migrate to the wall of the tube. The unlabeled cells are then poured off into a new tube.

Which columns do I use?

The EasySep™ procedure is column-free. That's right - no columns!

How can I analyze the purity of my enriched sample?

The Product Information Sheet provided with each EasySep™ kit contains detailed staining information.

Can EasySep™ Streptavidin RapidSphere™ separations be automated?

Yes. RoboSep™, the fully automated cell separator, automates all EasySep™ labeling and cell separation steps.

Are cells isolated using EasySep™ RapidSphere™ products FACS-compatible?

Yes. Desired cells are unlabeled and ready to use in downstream applications, such as FACS analysis.

Can I alter the separation time in the magnet?

Yes; however, this may impact the kit's performance. The provided EasySep™ protocols have already been optimized to balance purity, recovery and time spent on the isolation.
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Product Applications

This product is designed for use in the following research area(s) as part of the highlighted workflow stage(s). Explore these workflows to learn more about the other products we offer to support each research area.

Data and Publications


Typical EasySep™ Mouse CD8+ T Cell Isolation Profile

Figure 1. Typical EasySep™ Mouse CD8+ T Cell Isolation Profile

Starting with mouse splenocytes, the CD8+ T cell content of the isolated fraction typically ranges from 87 - 95%.


Mucosal immunology 2018 NOV

GITRL on inflammatory antigen presenting cells in the lung parenchyma provides signal 4 for T-cell accumulation and tissue-resident memory T-cell formation.

K.-L. Chu et al.


T-cell responses in the lung are critical for protection against respiratory pathogens. TNFR superfamily members play important roles in providing survival signals to T cells during respiratory infections. However, whether these signals take place mainly during priming in the secondary lymphoid organs and/or in the peripheral tissues remains unknown. Here we show that under conditions of competition, GITR provides a T-cell intrinsic advantage to both CD4 and CD8 effector T cells in the lung tissue, as well as for the formation of CD4 and CD8 tissue-resident memory T cells during respiratory influenza infection in mice. In contrast, under non-competitive conditions, GITR has a preferential effect on CD8 over CD4 T cells. The nucleoprotein-specific CD8 T-cell response partially compensated for GITR deficiency by expansion of higher affinity T cells; whereas, the polymerase-specific response was less flexible and more GITR dependent. Following influenza infection, GITR is expressed on lung T cells and GITRL is preferentially expressed on lung monocyte-derived inflammatory antigen presenting cells. Accordingly, we show that GITR+/+ T cells in the lung parenchyma express more phosphorylated-ribosomal protein S6 than their GITR-/- counterparts. Thus, GITR signaling within the lung tissue critically regulates effector and tissue-resident memory T-cell accumulation.
Cell 2018 NOV

Protein Barcodes Enable High-Dimensional Single-Cell CRISPR Screens.

A. Wroblewska et al.


CRISPR pools are being widely employed to identify gene functions. However, current technology, which utilizes DNA as barcodes, permits limited phenotyping and bulk-cell resolution. To enable novel screening capabilities, we developed a barcoding system operating at the protein level. We synthesized modules encoding triplet combinations of linear epitopes to generate {\textgreater}100 unique protein barcodes (Pro-Codes). Pro-Code-expressing vectors were introduced into cells and analyzed by CyTOF mass cytometry. Using just 14 antibodies, we detected 364 Pro-Code populations; establishing the largest set of protein-based reporters. By pairing each Pro-Code with a different CRISPR, we simultaneously analyzed multiple phenotypic markers, including phospho-signaling, on dozens of knockouts. Pro-Code/CRISPR screens found two interferon-stimulated genes, the immunoproteasome component Psmb8 and a chaperone Rtp4, are important for antigen-dependent immune editing of cancer cells and identified Socs1 as a negative regulator of Pd-l1. The Pro-Code technology enables simultaneous high-dimensional protein-level phenotyping of 100s of genes with single-cell resolution.
The Journal of clinical investigation 2018 NOV

Type I IFN blockade uncouples immunotherapy-induced antitumor immunity and autoimmune toxicity.

S. R. Walsh et al.


Despite showing success in treating melanoma and haematological malignancies, adoptive cell therapy (ACT) has generated only limited effects in solid tumors. This is, in part, due to a lack of specific antigen targets, poor trafficking/infiltration and immunosuppression in the tumor microenvironment. In this study, we combined ACT with oncolytic virus vaccines (OVV) to drive expansion and tumor infiltration of transferred antigen-specific T cells, and demonstrated that the combination is highly potent for the eradication of established solid tumors. Consistent with other successful immunotherapies, this approach elicited severe autoimmune consequence when the antigen targeted was a self-protein. However, modulation of IFN$\alpha$/$\beta$ signaling, either by functional blockade or rational choice of an OVV backbone, ameliorated autoimmune side effects without compromising antitumor efficacy. Our study uncovers a pathogenic role for IFN$\alpha$/$\beta$ in facilitating autoimmune toxicity during cancer immunotherapy and offers a safe and powerful combinatorial regimen with immediate translational applications.
Frontiers in immunology 2018

Limited Foxp3+ Regulatory T Cells Response During Acute Trypanosoma cruzi Infection Is Required to Allow the Emergence of Robust Parasite-Specific CD8+ T Cell Immunity.

C. L. Araujo Furlan et al.


While it is now acknowledged that CD4+ T cells expressing CD25 and Foxp3 (Treg cells) regulate immune responses and, consequently, influence the pathogenesis of infectious diseases, the regulatory response mediated by Treg cells upon infection by Trypanosoma cruzi was still poorly characterized. In order to understand the role of Treg cells during infection by this protozoan parasite, we determined in time and space the magnitude of the regulatory response and the phenotypic, functional and transcriptional features of the Treg cell population in infected mice. Contrary to the accumulation of Treg cells reported in most chronic infections in mice and humans, experimental T. cruzi infection was characterized by sustained numbers but decreased relative frequency of Treg cells. The reduction in Treg cell frequency resulted from a massive accumulation of effector immune cells, and inversely correlated with the magnitude of the effector immune response as well as with emergence of acute immunopathology. In order to understand the causes underlying the marked reduction in Treg cell frequency, we evaluated the dynamics of the Treg cell population and found a low proliferation rate and limited accrual of peripheral Treg cells during infection. We also observed that Treg cells became activated and acquired a phenotypic and transcriptional profile consistent with suppression of type 1 inflammatory responses. To assess the biological relevance of the relative reduction in Treg cells frequency observed during T. cruzi infection, we transferred in vitro differentiated Treg cells at early moments, when the deregulation of the ratio between regulatory and conventional T cells becomes significant. Intravenous injection of Treg cells dampened parasite-specific CD8+ T cell immunity and affected parasite control in blood and tissues. Altogether, our results show that limited Treg cell response during the acute phase of T. cruzi infection enables the emergence of protective anti-parasite CD8+ T cell immunity and critically influences host resistance.
Cell reports 2017 SEP

miR-150 Regulates Memory CD8 T Cell Differentiation via c-Myb.

Chen Z et al.


MicroRNAs play an important role in T cell responses. However, how microRNAs regulate CD8 T cell memory remains poorly defined. Here, we found that miR-150 negatively regulates CD8 T cell memory in vivo. Genetic deletion of miR-150 disrupted the balance between memory precursor and terminal effector CD8 T cells following acute viral infection. Moreover, miR-150-deficient memory CD8 T cells were more protective upon rechallenge. A key circuit whereby miR-150 repressed memory CD8 T cell development through the transcription factor c-Myb was identified. Without miR-150, c-Myb was upregulated and anti-apoptotic targets of c-Myb, such as Bcl-2 and Bcl-xL, were also increased, suggesting a miR-150-c-Myb survival circuit during memory CD8 T cell development. Indeed, overexpression of non-repressible c-Myb rescued the memory CD8 T cell defects caused by overexpression of miR-150. Overall, these results identify a key role for miR-150 in memory CD8 T cells through a c-Myb-controlled enhanced survival circuit.