Human Peripheral Blood CD8+ Cytotoxic T Cells

Overview

Human Peripheral Blood CD8+ Cytotoxic T Cells is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Human Immune Cells AND Hematopoietic Cells derived from Peripheral Blood (Peripheral Blood CD8+ Cytotoxic T) within the Blood system.

The CD8+ T cells, also known as Cytotoxic T cells (T C cells), are a type of T cells that kill cancer cells, cells that are infected (particularly with viruses), or cells that are damaged in other ways. Most cytotoxic T cells express T-cell receptors (TCRs) that can recognize a specific antigen, and a glycoprotein called CD8 which binds to the constant portion of the class I MHC molecule. When exposed to infected/dysfunctional somatic cells, CD8+ T cells release the cytotoxins perforin, granzymes, and granulysin, which triggers the caspase cascade and eventually leads to apoptosis. CD8+ T cells have been implicated in the pathogenesis of hepatitis B virus infection [ 1] , arthritis [2] etc. iXCells Biotechnologies offers CD8+ T cells isolated from normal human peripheral blood mononuclear cells (PBMCs) using positive immunomagnetic selection. > 90% of the cells are CD8+ as showed by flow cytometric analysis (Figure 1). Figure 1 . Flow cytometric analysis showed that >90% of the cells are CD8+.

Key elements and design rationale

• Cell identity: Immune Cells AND Hematopoietic Cells (Primary Cells)
• Source context: Peripheral Blood; Peripheral Blood CD8+ Cytotoxic T; Blood
• Biosafety level: BSL-2 (follow your institution’s biosafety program and local regulations)

Product-specific elements (such as tissue source, donor background, and cell classification) help frame how results should be interpreted across assays and experimental conditions.

Biological background

Cells originating from the Blood system are commonly studied to understand tissue-specific physiology, signaling, and responses to perturbations in controlled in vitro settings.

Across primary and specialty cell models, experimental outcomes can be influenced by donor heterogeneity, passage history, confluence, and media composition. For interpretation, it is common to validate key markers or functional phenotypes in the user’s assay context and to document culture variables consistently.

Research relevance and current trends

• Increasing use of primary and specialty cells to improve translational relevance for target biology and phenotypic screening.
• Adoption of 3D culture formats and co-culture systems to better capture tissue microenvironments and cell–cell interactions.
• Integration of functional readouts with single-cell and multi-omics profiling to connect phenotype with molecular state.
• Expansion of high-dimensional immune phenotyping and perturbation screens to map activation states and functional programs.

Common research applications

• Profile identity markers by flow cytometry or immunostaining in cultured cells
• Stimulate immune cells and quantify activation markers and cytokine release
• Quantify functional responses to defined stimuli relevant to the model system
• Compare baseline phenotype across donors/conditions using gene expression profiling
• Perform immune profiling by multiparameter flow cytometry to resolve major subsets

Interpretation typically focuses on how a perturbation (e.g., cytokine exposure, metabolic stress, genetic manipulation, or compound treatment) shifts marker profiles or functional readouts relative to an appropriate control matched for donor and culture variables.

Notes for experimental interpretation

• Donor-to-donor heterogeneity can influence baseline phenotype and treatment response; include biological replicates when feasible.
• Passage number, confluence, and media composition can shift gene expression and functional readouts; track and report these variables consistently.
• Contamination control (including routine mycoplasma monitoring) supports reproducibility in downstream assays.
• Use appropriate negative/positive controls for the readout (e.g., unstimulated controls, pathway agonists/antagonists) to contextualize observed changes.

SKU:BHC18500019

Customization & Add-ons: Can't find the cell line you need—or require a custom cell-based solution for your project? We can help you source the best match or support custom cell line services for diverse research needs, including cell line sourcing and selection (species, tissue, and disease model matching), stable cell line engineering (overexpression, knockdown, or knockout via CRISPR/Cas9, shRNA, or sgRNA), reporter gene integration (GFP, RFP, luciferase, and other fluorescent or bioluminescent constructs), genome editing and knockin (point mutations, tagged endogenous proteins, conditional alleles), inducible expression systems (Tet-On/Off and other regulatable constructs), drug resistance marker selection (puromycin, G418, hygromycin, and others), custom growth and media optimisation for specific assay requirements, scale-up production for high-throughput screening campaigns, and authentication and QC services (STR profiling, mycoplasma testing, viability assessment). Click Talk to a Scientist to submit a request, email us at support@biohippo.com, or explore our Research Services for additional support—our team will follow up with feasibility details and next steps.