Dataset Information

Direct measurement of T-cell receptor repertoire diversity with AmpliCot.

ABSTRACT: Many studies require the measurement of nucleic acid sequence diversity. Here we describe a method, called AmpliCot, that measures the sequence diversity of PCR products on the basis of DNA hybridization kinetics, thereby avoiding the time, expense and biases associated with cloning and sequencing. SYBR Green dye is used to measure DNA hybridization kinetics in a homogeneous, automated fashion. PCR products are prepared in wholly double-stranded homoduplex form for a baseline measurement of DNA concentration. The DNA is melted and then reannealed under stringent conditions that allow only homoduplexes to form. The sequence diversity of a sample is proportional to the product of its concentration and the time required for it to anneal. After validating AmpliCot with a library of diverse sequences, we use it to measure the diversity of expressed rearrangements of the gene encoding the T-cell antigen receptor (TCR) beta chain. AmpliCot measurements are in good agreement with previous estimates of murine TCR repertoire diversity that required extensive cloning and sequencing.

SUBMITTER: Baum PD

PROVIDER: S-EPMC2366817 | biostudies-literature | 2006 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Direct measurement of T-cell receptor repertoire diversity with AmpliCot.

Baum Paul D PD McCune Joseph M JM

Nature methods 20061101 11

Many studies require the measurement of nucleic acid sequence diversity. Here we describe a method, called AmpliCot, that measures the sequence diversity of PCR products on the basis of DNA hybridization kinetics, thereby avoiding the time, expense and biases associated with cloning and sequencing. SYBR Green dye is used to measure DNA hybridization kinetics in a homogeneous, automated fashion. PCR products are prepared in wholly double-stranded homoduplex form for a baseline measurement of DNA ...[more]

PMID: 17060913

Similar Datasets

Project description:The tumor immune response is dependent on the interaction between tumor cells and the T-cell subset expressing the T-cell receptor (TCR) repertoire that infiltrates into the tumor microenvironment. The present study explored the diversity and shared TCR repertoires expressed on the surface of locoregional T cells and identified the T lymphocyte subsets infiltrating into esophageal squamous cell carcinoma (ESCC), in order to provide insight into the efficiency of immunotherapy and the development of a novel immune-oriented therapeutic strategy. A total of 53 patients with ESCC were enrolled in the present study, and immunohistochemical analysis of CD3, CD8, CD45RO, FOXP3, CD274, HLA class I and AE1/AE3 was performed. Digital pathological assessment was performed to evaluate the expression level of each marker. The clinicopathological significance of the immuno relation high (IR-Hi) group was assessed. Adaptor ligation PCR and next-generation sequencing were performed to explore the diversity of the TCR repertoire and to investigate the shared TCR repertoire in the IR-Hi group. Repertoire dissimilarity index (RDI) analysis was performed to assess the diversity of TCR, and the existence of shared TCRα and TCRβ was also investigated. Further stratification was performed according to the expression of markers of different T-cell subsets. Patients were stratified into IR-Hi and immuno relation low (IR-Lo) groups. Cancer-specific survival and recurrence-free survival rates were significantly improved in the IR-Hi group compared with in the IT-Lo group. The diversity of the TCR repertoire was significantly higher in the IR-Hi group. TCR repertoire analysis revealed 27 combinations of TCRα and 23 combinations of TCRβ VJ regions that were shared among the IR-Hi group. The IR-Hi group was divided into three clusters. Overall, the current findings revealed that the IR-Hi group maintained the diversity of TCR, and a portion of the IR-Hi cases held the T cells with shared TCR repertoires, implying recognition of shared antigens. The prognosis of patients with ESCC was affected by the existence of immune response cells and may possibly be stratified by the T-cell subsets.

Project description:T cell populations are regulated both by signals specific to the T-cell receptor (TCR) and by signals and resources, such as cytokines and space, that act independently of TCR specificity. Although it has been demonstrated that disruption of either of these pathways has a profound effect on T-cell development, we do not yet have an understanding of the dynamical interactions of these pathways in their joint shaping of the T cell repertoire. Complete DiGeorge Anomaly is a developmental abnormality that results in the failure of the thymus to develop, absence of T cells, and profound immune deficiency. After receiving thymic tissue grafts, patients suffering from DiGeorge anomaly develop T cells derived from their own precursors but matured in the donor tissue. We followed three DiGeorge patients after thymus transplantation to utilize the remarkable opportunity these subjects provide to elucidate human T-cell developmental regulation. Our goal is the determination of the respective roles of TCR-specific vs. TCR-nonspecific regulatory signals in the growth of these emerging T-cell populations. During the course of the study, we measured peripheral blood T-cell concentrations, TCRbeta V gene-segment usage and CDR3-length spectratypes over two years or more for each of the subjects. We find, through statistical analysis based on a novel stochastic population-dynamic T-cell model, that the carrying capacity corresponding to TCR-specific resources is approximately 1000-fold larger than that of TCR-nonspecific resources, implying that the size of the peripheral T-cell pool at steady state is determined almost entirely by TCR-nonspecific mechanisms. Nevertheless, the diversity of the TCR repertoire depends crucially on TCR-specific regulation. The estimated strength of this TCR-specific regulation is sufficient to ensure rapid establishment of TCR repertoire diversity in the early phase of T cell population growth, and to maintain TCR repertoire diversity in the face of substantial clonal expansion-induced perturbation from the steady state.

Dataset Information

Direct measurement of T-cell receptor repertoire diversity with AmpliCot.

Publications

Direct measurement of T-cell receptor repertoire diversity with AmpliCot.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure