Literature DB >> 27183494

Accurate Sample Assignment in a Multiplexed, Ultrasensitive, High-Throughput Sequencing Assay for Minimal Residual Disease.

Jack Bartram1, Edward Mountjoy2, Tony Brooks3, Jeremy Hancock4, Helen Williamson4, Gary Wright5, John Moppett6, Nick Goulden5, Mike Hubank7.   

Abstract

High-throughput sequencing (HTS) (next-generation sequencing) of the rearranged Ig and T-cell receptor genes promises to be less expensive and more sensitive than current methods of monitoring minimal residual disease (MRD) in patients with acute lymphoblastic leukemia. However, the adoption of new approaches by clinical laboratories requires careful evaluation of all potential sources of error and the development of strategies to ensure the highest accuracy. Timely and efficient clinical use of HTS platforms will depend on combining multiple samples (multiplexing) in each sequencing run. Here we examine the Ig heavy-chain gene HTS on the Illumina MiSeq platform for MRD. We identify errors associated with multiplexing that could potentially impact the accuracy of MRD analysis. We optimize a strategy that combines high-purity, sequence-optimized oligonucleotides, dual indexing, and an error-aware demultiplexing approach to minimize errors and maximize sensitivity. We present a probability-based, demultiplexing pipeline Error-Aware Demultiplexer that is suitable for all MiSeq strategies and accurately assigns samples to the correct identifier without excessive loss of data. Finally, using controls quantified by digital PCR, we show that HTS-MRD can accurately detect as few as 1 in 10(6) copies of specific leukemic MRD. Crown
Copyright © 2016. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27183494     DOI: 10.1016/j.jmoldx.2016.02.008

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


  13 in total

Review 1.  Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?

Authors:  Michaela Kotrova; Jan Trka; Michael Kneba; Monika Brüggemann
Journal:  Mol Diagn Ther       Date:  2017-10       Impact factor: 4.074

2.  Establishment of Immunoglobulin Heavy (IGH) Chain Clonality Testing by Next-Generation Sequencing for Routine Characterization of B-Cell and Plasma Cell Neoplasms.

Authors:  Maria E Arcila; Wayne Yu; Mustafa Syed; Hannah Kim; Lidia Maciag; JinJuan Yao; Caleb Ho; Kseniya Petrova; Christine Moung; Paulo Salazar; Ivelise Rijo; Tessara Baldi; Ahmet Zehir; Ola Landgren; Jae Park; Mikhail Roshal; Ahmet Dogan; Khedoudja Nafa
Journal:  J Mol Diagn       Date:  2018-12-25       Impact factor: 5.568

3.  High throughput sequencing in acute lymphoblastic leukemia reveals clonal architecture of central nervous system and bone marrow compartments.

Authors:  Jack Bartram; Nick Goulden; Gary Wright; Stuart Adams; Tony Brooks; Darren Edwards; Sarah Inglott; Yasar Yousafzai; Mike Hubank; Christina Halsey
Journal:  Haematologica       Date:  2017-12-07       Impact factor: 9.941

4.  Predatory flying squids are detritivores during their early planktonic life.

Authors:  Fernando Á Fernández-Álvarez; Annie Machordom; Ricardo García-Jiménez; César A Salinas-Zavala; Roger Villanueva
Journal:  Sci Rep       Date:  2018-02-21       Impact factor: 4.379

Review 5.  New Molecular Technologies for Minimal Residual Disease Evaluation in B-Cell Lymphoid Malignancies.

Authors:  Irene Dogliotti; Daniela Drandi; Elisa Genuardi; Simone Ferrero
Journal:  J Clin Med       Date:  2018-09-18       Impact factor: 4.241

6.  The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice.

Authors:  Alida Kindt; Gerhard Liebisch; Thomas Clavel; Dirk Haller; Gabriele Hörmannsperger; Hongsup Yoon; Daniela Kolmeder; Alexander Sigruener; Sabrina Krautbauer; Claudine Seeliger; Alexandra Ganzha; Sabine Schweizer; Rosalie Morisset; Till Strowig; Hannelore Daniel; Dominic Helm; Bernhard Küster; Jan Krumsiek; Josef Ecker
Journal:  Nat Commun       Date:  2018-09-14       Impact factor: 14.919

Review 7.  Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance.

Authors:  Alexander M Piper; Jana Batovska; Noel O I Cogan; John Weiss; John Paul Cunningham; Brendan C Rodoni; Mark J Blacket
Journal:  Gigascience       Date:  2019-08-01       Impact factor: 6.524

8.  Upregulation of Anti-Oxidative Stress Response Improves Metabolic Changes in L-Selectin-Deficient Mice but Does Not Prevent NAFLD Progression or Fecal Microbiota Shifts.

Authors:  Sreepradha Eswaran; Anshu Babbar; Hannah K Drescher; Thomas C A Hitch; Thomas Clavel; Moritz Muschaweck; Thomas Ritz; Daniela C Kroy; Christian Trautwein; Norbert Wagner; Angela Schippers
Journal:  Int J Mol Sci       Date:  2021-07-07       Impact factor: 5.923

9.  The gut microbiota drives the impact of bile acids and fat source in diet on mouse metabolism.

Authors:  Sarah Just; Stanislas Mondot; Josef Ecker; Katrin Wegner; Eva Rath; Laura Gau; Theresa Streidl; Genevieve Hery-Arnaud; Sinah Schmidt; Till Robin Lesker; Valentin Bieth; Andreas Dunkel; Till Strowig; Thomas Hofmann; Dirk Haller; Gerhard Liebisch; Philippe Gérard; Sascha Rohn; Patricia Lepage; Thomas Clavel
Journal:  Microbiome       Date:  2018-08-02       Impact factor: 14.650

10.  Sample tracking in microbiome community profiling assays using synthetic 16S rRNA gene spike-in controls.

Authors:  Dieter M Tourlousse; Akiko Ohashi; Yuji Sekiguchi
Journal:  Sci Rep       Date:  2018-06-14       Impact factor: 4.379

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