Literature DB >> 24810852

Theoretical and experimental assessment of degenerate primer tagging in ultra-deep applications of next-generation sequencing.

Richard H Liang1, Theresa Mo2, Winnie Dong2, Guinevere Q Lee2, Luke C Swenson2, Rosemary M McCloskey2, Conan K Woods2, Chanson J Brumme2, Cynthia K Y Ho3, Janke Schinkel3, Jeffrey B Joy2, P Richard Harrigan4, Art F Y Poon4.   

Abstract

Primer IDs (pIDs) are random oligonucleotide tags used in next-generation sequencing to identify sequences that originate from the same template. These tags are produced by degenerate primers during the reverse transcription of RNA molecules into cDNA. The use of pIDs helps to track the number of RNA molecules carried through amplification and sequencing, and allows resolution of inconsistencies between reads sharing a pID. Three potential issues complicate the above applications. First, multiple cDNAs may share a pID by chance; we found that while preventing any cDNAs from sharing a pID may be unfeasible, it is still practical to limit the number of these collisions. Secondly, a pID must be observed in at least three sequences to allow error correction; as such, pIDs observed only one or two times must be rejected. If the sequencing product contains copies from a high number of RT templates but produces few reads, our findings indicate that rejecting such pIDs will discard a great deal of data. Thirdly, the use of pIDs could influence amplification and sequencing. We examined the effects of several intrinsic and extrinsic factors on sequencing reads at both the individual and ensemble level.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2014        PMID: 24810852      PMCID: PMC4081055          DOI: 10.1093/nar/gku355

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  11 in total

1.  Accurate sampling and deep sequencing of the HIV-1 protease gene using a Primer ID.

Authors:  Cassandra B Jabara; Corbin D Jones; Jeffrey Roach; Jeffrey A Anderson; Ronald Swanstrom
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-30       Impact factor: 11.205

2.  Degenerate Primer IDs and the birthday problem.

Authors:  Daniel J Sheward; Ben Murrell; Carolyn Williamson
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-19       Impact factor: 11.205

3.  Deep sequencing to infer HIV-1 co-receptor usage: application to three clinical trials of maraviroc in treatment-experienced patients.

Authors:  Luke C Swenson; Theresa Mo; Winnie W Y Dong; Xiaoyin Zhong; Conan K Woods; Mark A Jensen; Alexander Thielen; Douglass Chapman; Marilyn Lewis; Ian James; Jayvant Heera; Hernan Valdez; P Richard Harrigan
Journal:  J Infect Dis       Date:  2011-01-15       Impact factor: 5.226

4.  Comparative performance of high-density oligonucleotide sequencing and dideoxynucleotide sequencing of HIV type 1 pol from clinical samples.

Authors:  H F Günthard; J K Wong; C C Ignacio; D V Havlir; D D Richman
Journal:  AIDS Res Hum Retroviruses       Date:  1998-07-01       Impact factor: 2.205

5.  Detection and quantification of rare mutations with massively parallel sequencing.

Authors:  Isaac Kinde; Jian Wu; Nick Papadopoulos; Kenneth W Kinzler; Bert Vogelstein
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-17       Impact factor: 11.205

6.  Quantitative detection of HIV-1 drug resistance mutations by automated DNA sequencing.

Authors:  B A Larder; A Kohli; P Kellam; S D Kemp; M Kronick; R D Henfrey
Journal:  Nature       Date:  1993-10-14       Impact factor: 49.962

7.  Analysis of heterogeneous viral populations by direct DNA sequencing.

Authors:  T Leitner; E Halapi; G Scarlatti; P Rossi; J Albert; E M Fenyö; M Uhlén
Journal:  Biotechniques       Date:  1993-07       Impact factor: 1.993

8.  Worldwide evaluation of DNA sequencing approaches for identification of drug resistance mutations in the human immunodeficiency virus type 1 reverse transcriptase.

Authors:  R Schuurman; L Demeter; P Reichelderfer; J Tijnagel; T de Groot; C Boucher
Journal:  J Clin Microbiol       Date:  1999-07       Impact factor: 5.948

9.  Phenotypic assays and sequencing are less sensitive than point mutation assays for detection of resistance in mixed HIV-1 genotypic populations.

Authors:  K Van Laethem; K Van Vaerenbergh; J C Schmit; S Sprecher; P Hermans; V De Vroey; R Schuurman; T Harrer; M Witvrouw; E Van Wijngaerden; L Stuyver; M Van Ranst; J Desmyter; E De Clercq; A M Vandamme
Journal:  J Acquir Immune Defic Syndr       Date:  1999-10-01       Impact factor: 3.731

10.  Use of cellular HIV DNA to predict virologic response to maraviroc: performance of population-based and deep sequencing.

Authors:  Luke C Swenson; Winnie W Y Dong; Theresa Mo; James Demarest; Doug Chapman; Suzanne Ellery; Jayvant Heera; Hernan Valdez; Art F Y Poon; P Richard Harrigan
Journal:  Clin Infect Dis       Date:  2013-02-21       Impact factor: 9.079

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  14 in total

1.  Short Communication: Analysis of Minor Populations of Human Immunodeficiency Virus by Primer Identification and Insertion-Deletion and Carry Forward Correction Pipelines.

Authors:  Paul Hughes; Wenjie Deng; Scott C Olson; Robert W Coombs; Michael H Chung; Lisa M Frenkel
Journal:  AIDS Res Hum Retroviruses       Date:  2015-12-15       Impact factor: 2.205

2.  Primer ID Validates Template Sampling Depth and Greatly Reduces the Error Rate of Next-Generation Sequencing of HIV-1 Genomic RNA Populations.

Authors:  Shuntai Zhou; Corbin Jones; Piotr Mieczkowski; Ronald Swanstrom
Journal:  J Virol       Date:  2015-06-03       Impact factor: 5.103

3.  Short Communication: HIV-DRLink: A Tool for Reporting Linked HIV-1 Drug Resistance Mutations in Large Single-Genome Data Sets Using the Stanford HIV Database.

Authors:  Wei Shao; Valerie F Boltz; Junko Hattori; Michael J Bale; Frank Maldarelli; John M Coffin; Mary F Kearney
Journal:  AIDS Res Hum Retroviruses       Date:  2020-08-27       Impact factor: 2.205

Review 4.  Enhancing the accuracy of next-generation sequencing for detecting rare and subclonal mutations.

Authors:  Jesse J Salk; Michael W Schmitt; Lawrence A Loeb
Journal:  Nat Rev Genet       Date:  2018-03-26       Impact factor: 53.242

5.  MT-Toolbox: improved amplicon sequencing using molecule tags.

Authors:  Scott M Yourstone; Derek S Lundberg; Jeffery L Dangl; Corbin D Jones
Journal:  BMC Bioinformatics       Date:  2014-08-22       Impact factor: 3.169

6.  Challenges with using primer IDs to improve accuracy of next generation sequencing.

Authors:  Johanna Brodin; Charlotte Hedskog; Alexander Heddini; Emmanuel Benard; Richard A Neher; Mattias Mild; Jan Albert
Journal:  PLoS One       Date:  2015-03-05       Impact factor: 3.240

7.  Benefits and Challenges with Applying Unique Molecular Identifiers in Next Generation Sequencing to Detect Low Frequency Mutations.

Authors:  Ruqin Kou; Ham Lam; Hairong Duan; Li Ye; Narisra Jongkam; Weizhi Chen; Shifang Zhang; Shihong Li
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

8.  Ultrasensitive single-genome sequencing: accurate, targeted, next generation sequencing of HIV-1 RNA.

Authors:  Valerie F Boltz; Jason Rausch; Wei Shao; Junko Hattori; Brian Luke; Frank Maldarelli; John W Mellors; Mary F Kearney; John M Coffin
Journal:  Retrovirology       Date:  2016-12-20       Impact factor: 4.602

9.  The efficacy and further functional advantages of random-base molecular barcodes for absolute and digital quantification of nucleic acid molecules.

Authors:  Taisaku Ogawa; Kirill Kryukov; Tadashi Imanishi; Katsuyuki Shiroguchi
Journal:  Sci Rep       Date:  2017-10-19       Impact factor: 4.379

Review 10.  Practical guidelines for B-cell receptor repertoire sequencing analysis.

Authors:  Gur Yaari; Steven H Kleinstein
Journal:  Genome Med       Date:  2015-11-20       Impact factor: 11.117

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