Human Peripheral Blood CD3+ T Cells (Pan T Cells)

Overview

Human Peripheral Blood CD3+ T Cells (Pan 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 CD3+ T) within the Blood system.

CD3 is a multimeric protein complex, which is composed of four distinct chains (CD3γ, CD3δ and two CD3ε). CD3 complex serves as a T-cell co-receptor that associates non-covalently with the T cell receptor (TCR) [1] . CD3 is expressed in almost all T cell lineages, which make it useful marker for T cells. T cells exhibit multiple functions including cell-mediated cytotoxicity, promotion of antibody production by B cells, and immune regulation. CD3+ T cells can be divided into several subsets. CD4+ helper T cell, CD8+ cytotoxic T cell and NK cells are the three major subsets. T cells have been widely used in research fields including immunology, infectious diseases ( Prednisone ), cancer therapy, etc. [2] iXCells Biotechnologies offers CD3+ Pan T Cells from the human peripheral blood of individual healthy donors using negative immunomagnetic selection. These cells are untouched by the separation process and ready for downstream usage. > 86% of the cells are CD3+ as shown by flow cytometric analysis. Figure 1. Flow cytometric analysis showed that >86% of the cells are CD3+.

Key elements and design rationale

• Cell identity: Immune Cells AND Hematopoietic Cells (Primary Cells)
• Source context: Peripheral Blood; Peripheral Blood CD3+ 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:BHC18500009

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