Literature DB >> 28012713

Accurate Quantification of T Cells by Measuring Loss of Germline T-Cell Receptor Loci with Generic Single Duplex Droplet Digital PCR Assays.

Willem H Zoutman1, Rogier J Nell2, Mieke Versluis2, Debby van Steenderen2, Rajshri N Lalai2, Jacoba J Out-Luiting1, Mark J de Lange2, Maarten H Vermeer1, Anton W Langerak3, Pieter A van der Velden4.   

Abstract

Quantifying T cells accurately in a variety of tissues of benign, inflammatory, or malignant origin can be of great importance in a variety of clinical applications. Flow cytometry and immunohistochemistry are considered to be gold-standard methods for T-cell quantification. However, these methods require fresh, frozen, or fixated cells and tissue of a certain quality. In addition, conventional and droplet digital PCR (ddPCR), whether followed by deep sequencing techniques, have been used to elucidate T-cell content by focusing on rearranged T-cell receptor (TCR) genes. These approaches typically target the whole TCR repertoire, thereby supplying additional information about TCR use. We alternatively developed and validated two novel generic single duplex ddPCR assays to quantify T cells accurately by measuring loss of specific germline TCR loci and compared them with flow cytometry-based quantification. These assays target sequences between the Dδ2 and Dδ3 genes (TRD locus) and Dβ1 and Jβ1.1 genes (TRB locus) that become deleted systematically early during lymphoid differentiation. Because these ddPCR assays require small amounts of DNA instead of freshly isolated, frozen, or fixated material, initially unanalyzable (scarce) specimens can be assayed from now on, supplying valuable information about T-cell content. Our ddPCR method provides a novel and sensitive way for quantifying T cells relatively fast, accurate, and independent of the cellular context.
Copyright © 2017 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 28012713     DOI: 10.1016/j.jmoldx.2016.10.006

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  6 in total

1.  Multiplex Droplet Digital PCR Assay for Quantification of Human T-Cell Leukemia Virus Type 1 Subtype c DNA Proviral Load and T Cells from Blood and Respiratory Exudates Sampled in a Remote Setting.

Authors:  David Yurick; Georges Khoury; Bridie Clemens; Liyen Loh; Hai Pham; Katherine Kedzierska; Lloyd Einsiedel; Damian Purcell
Journal:  J Clin Microbiol       Date:  2019-01-30       Impact factor: 5.948

Review 2.  Lessons for Understanding Central Nervous System HIV Reservoirs from the Last Gift Program.

Authors:  Patricia K Riggs; Antoine Chaillon; Guochun Jiang; Scott L Letendre; Yuyang Tang; Jeff Taylor; Andrew Kaytes; Davey M Smith; Karine Dubé; Sara Gianella
Journal:  Curr HIV/AIDS Rep       Date:  2022-10-19       Impact factor: 5.495

3.  Quantification of DNA methylation independent of sodium bisulfite conversion using methylation-sensitive restriction enzymes and digital PCR.

Authors:  Rogier J Nell; Debby van Steenderen; Nino V Menger; Thomas J Weitering; Mieke Versluis; Pieter A van der Velden
Journal:  Hum Mutat       Date:  2020-09-19       Impact factor: 4.878

4.  A highly multiplexed droplet digital PCR assay to measure the intact HIV-1 proviral reservoir.

Authors:  Claire N Levy; Sean M Hughes; Pavitra Roychoudhury; Daniel B Reeves; Chelsea Amstuz; Haiying Zhu; Meei-Li Huang; Yulun Wei; Marta E Bull; Noah A J Cassidy; Jan McClure; Lisa M Frenkel; Mars Stone; Sonia Bakkour; Elizabeth R Wonderlich; Michael P Busch; Steven G Deeks; Joshua T Schiffer; Robert W Coombs; Dara A Lehman; Keith R Jerome; Florian Hladik
Journal:  Cell Rep Med       Date:  2021-04-12

Review 5.  Scientific and clinical implications of genetic and cellular heterogeneity in uveal melanoma.

Authors:  Mark J de Lange; Rogier J Nell; Pieter A van der Velden
Journal:  Mol Biomed       Date:  2021-08-20

6.  HIV reservoir quantification by five-target multiplex droplet digital PCR.

Authors:  Claire N Levy; Sean M Hughes; Pavitra Roychoudhury; Chelsea Amstuz; Haiying Zhu; Meei-Li Huang; Dara A Lehman; Keith R Jerome; Florian Hladik
Journal:  STAR Protoc       Date:  2021-10-11
  6 in total

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