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- Single Cell Immune Profiling
Single Cell Immune Profiling
High-throughput sequencing by whole genome or transcriptome amplification at single-cell level reveals the genetic structure and gene expression status of individual cells, reflecting intercellular heterogeneity. Single cell immune profiling is more suitable for solving a small number of special sample studies, heterogeneous population analysis, and the search for simultaneous or mutually exclusive genomic changes, which is limited by bulk analysis. In terms of the extensive experience in antibody research, Creative Biolabs is pleased to share our cutting-edge technology and extensive experience in single cell immune profiling to facilitate our clients' research and project development.
Single Cell T Cell Receptor (scTCR) Profiling
TCR is a molecule that specifically recognizes antigens and mediates immune responses on the surface of T cells. It is one of the most polymorphic regions in the human genome and determines how the human immune system adapts to the environment and variety. The diversity of TCR libraries directly reflects the state of the body's immune response. TCR can be divided into two types, TCRα/β and TCRγ/δ. Peripheral blood T cells are mainly TCRα/β T cells, which are the main cells that mediate the body-specific cellular immune response. The TCR gene consists of a variable region (V), a variable region (D), a binding region (J) and a constant region (C). TCR sequencing (TCR-seq) and corresponding bioinformatics analysis has been widely used in tumor immunity, autoimmune diseases, organ transplantation immune monitoring, vaccination, and immunological monitoring. Furthermore, single-cell TCR profiling provides the opportunity to sequence paired alpha and beta chains of TCR at single-cell level.
Fig.1 Schematic representation of TCR-seq versus RNA sequencing. (Brown, 2015)
Single Cell B Cell Receptor (scBCR) Profiling
BCR sequencing (BCR-seq) is a versatile detection technique that reveals the physiological and pathological state of the human body. This technology is commonly used to evaluate the BCR gene rearrangement and the abundance of each sequence in a cellular immune response. It can also be used to study the transcriptional status and relationship of different B cell clones, thus revealing the deeper B cell function specificity, and then explaining the humoral immune response tolerance and high-frequency mutations in B cell response recognition antigen abnormalities and other related life phenomena.
Single Cell Immune Profiling in Single Cell
Single cell profiling technologies hold promise to provide new insights including analysis of population heterogeneity and linkage of antigen receptors with gene expression. To date, single cell immune profiling has important applications in the fields of tumor, developmental biology, and neuroscience. As a well-recognized leader in the field of immunology, Single Cell has accumulated extensive experience in single cell immune profiling, offering combined measurement of specific proteins and gene transcripts in individual cells. The data acquired by single cell immune profiling is critical for understanding the role of cellular diversity, leading to more accurate insights into the complex biological systems.
- Advanced sequencing platform with accurate bioinformatics analysis
- Full-length sequence of the BCR in single B cells
- Sequencing paired alpha and beta chains
- Professional technical team with years of experiences
- Best after-sale service
Single cell immune profiling allows researchers to gain a more comprehensive understanding of the intricacies of immune-related diseases, thus providing opportunities for more personalized treatments.Creative Biolabs utilizes its advanced technology platforms and specialized expertise to offer our global clients high-quality single cell immune profiling service. Our scientists are confident in tailoring our clients the most reliable protocol to facilitate their meaningful research. Please contact us for more information and a detailed quote.
- Brown, S.D.; et al. Profiling tissue-resident T cell repertoires by RNA sequencing. Genome Medicine. 2015, 7(1).