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Single Cell Omics Solutions for T Cells

Understanding how T cells leverage cellular heterogeneity, plasticity, and diversity to achieve a wide range of functional flexibility, is a core challenge, but can be resolved by single-cell analysis technology. Hypothesis-free evaluation of cellular states and subpopulations by single cell omics analysis of T cells can identify relationships that may be obscured by bulk expression analysis. With Ph.D. level scientists and over a decade of experience in immunology field, Creative Biolabs is dedicated to serving every unique need of our clients in single cell omics analysis for T cells.

Characteristics of T Cells

T cells are a subtype of white blood cells, which play a major role in the adaptive immune system. They can be classified into two categories according to their specific function: MHC class II-restricted CD4-expressing T cells (CD4), which can differentiate into specific T helper subtypes; MHC class I-restricted CD8-expressing T cells (CD8), which are classically known as cytotoxic T lymphocytes (CTLs). T cells take part in a variety of immune responses that arise in various diseases, including infection, cancer, autoimmune diseases, and allergic diseases. In cancer, T cells become dysfunctional owing to persistent antigen exposure. Naive T cells, upon antigen stimulation, are rapidly activated and differentiate into effector T cells. Effector T cell differentiation involves transcriptional, epigenetic and metabolic reprogramming as well as the acquisition of effector features.

Identification of T cell subpopulations by single cell RNA-seq analysis. Fig.1 Identification of T cell subpopulations by single cell RNA-seq analysis. (Szabo, 2019)

Single Cell Omics for T Cells

Single cell omics technology, which includes single-cell high-throughput rapid separation, capture, extraction and sequencing technologies, has been applied to clinical research and treatment of major and rare diseases. With the advent of single cell omics technology, comprehensive analysis of every T cell at the single-cell level has become possible. Single cell omics for T cells can help scientists understand how the immune system responds to diseases, such as cancer and autoimmune reactions. Using the world's leading single-cell transcriptome sequencing technology and bioinformatics analysis methods, scientists have completely mapped the T lymphocyte maps associated with non-small cell lung cancer, revealing subpopulations, tissue distribution characteristics and intratumoral populations of lung cancer T cells, which provides a new clinical marker for lung adenocarcinoma.

Single Cell Omics Solutions for T Cells in Single Cell

Powered by our advanced single cell omics platforms and experienced technical personnel, Single Cell has perfected technical pipelines in single cell omics analysis for T cells from many sources, such as lungs, lymph nodes, bone marrow, and blood. The gene expression information acquired by single cell omics analysis will help our clients draw a comprehensive map of human T cell activation, which is helpful in analyzing T cells in different diseases. In addition, we can assist our clients to discover and identify rare T cell types.

Our Highlights

  • T cells from various sources, such as lungs, lymph nodes, bone marrow, and blood, are available
  • World-leading single cell omics platforms
  • Best after-sale service
  • Fast turnover time

Creative Biolabs has the most authoritative testing strategies to provide you with single cell omics solutions for T cells. We are dedicated to advancing and accelerating your immune research at single-cell level. For more detailed information, please contact us to learn how we can be involved in your project.


  1. Szabo, P.A.; et al. Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease. Nat Commun. 2019, 10(1):4706.
! ! For Research Use Only. Not for diagnostic or therapeutic purposes.