Literature DB >> 21720315

Linear amplification for deep sequencing.

Wieteke A M Hoeijmakers1, Richárd Bártfai, Kees-Jan Françoijs, Hendrik G Stunnenberg.   

Abstract

Linear amplification for deep sequencing (LADS) is an amplification method that produces representative libraries for Illumina next-generation sequencing within 2 d. The method relies on attaching two different sequencing adapters to blunt-end repaired and A-tailed DNA fragments, wherein one of the adapters is extended with the sequence for the T7 RNA polymerase promoter. Ligated and size-selected DNA fragments are transcribed in vitro with high RNA yields. Subsequent cDNA synthesis is initiated from a primer complementary to the first adapter, ensuring that the library will only contain full-length fragments with two distinct adapters. Contrary to the severely biased representation of AT- or GC-rich fragments in standard PCR-amplified libraries, the sequence coverage in T7-amplified libraries is indistinguishable from that of nonamplified libraries. Moreover, in contrast to amplification-free methods, LADS can generate sequencing libraries from a few nanograms of DNA, which is essential for all applications in which the starting material is limited.

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Year:  2011        PMID: 21720315     DOI: 10.1038/nprot.2011.345

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  39 in total

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Authors:  Leighton J Core; Joshua J Waterfall; John T Lis
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3.  Digital transcriptome profiling using selective hexamer priming for cDNA synthesis.

Authors:  Christopher D Armour; John C Castle; Ronghua Chen; Tomas Babak; Patrick Loerch; Stuart Jackson; Jyoti K Shah; John Dey; Carol A Rohl; Jason M Johnson; Christopher K Raymond
Journal:  Nat Methods       Date:  2009-08-09       Impact factor: 28.547

4.  Mapping and quantifying mammalian transcriptomes by RNA-Seq.

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Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

5.  Stem cell transcriptome profiling via massive-scale mRNA sequencing.

Authors:  Nicole Cloonan; Alistair R R Forrest; Gabriel Kolle; Brooke B A Gardiner; Geoffrey J Faulkner; Mellissa K Brown; Darrin F Taylor; Anita L Steptoe; Shivangi Wani; Graeme Bethel; Alan J Robertson; Andrew C Perkins; Stephen J Bruce; Clarence C Lee; Swati S Ranade; Heather E Peckham; Jonathan M Manning; Kevin J McKernan; Sean M Grimmond
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

Review 6.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

7.  Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence.

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8.  A large genome center's improvements to the Illumina sequencing system.

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Journal:  Nat Methods       Date:  2008-12       Impact factor: 28.547

9.  Development and validation of a T7 based linear amplification for genomic DNA.

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10.  Substantial biases in ultra-short read data sets from high-throughput DNA sequencing.

Authors:  Juliane C Dohm; Claudio Lottaz; Tatiana Borodina; Heinz Himmelbauer
Journal:  Nucleic Acids Res       Date:  2008-07-26       Impact factor: 16.971

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  41 in total

1.  Single-tube linear DNA amplification for genome-wide studies using a few thousand cells.

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Journal:  Nat Protoc       Date:  2012-01-26       Impact factor: 13.491

2.  Incorporation of unique molecular identifiers in TruSeq adapters improves the accuracy of quantitative sequencing.

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Journal:  Biotechniques       Date:  2017-11-01       Impact factor: 1.993

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Journal:  ISME J       Date:  2014-03-06       Impact factor: 10.302

Review 4.  Metatranscriptome of the Oral Microbiome in Health and Disease.

Authors:  J Solbiati; J Frias-Lopez
Journal:  J Dent Res       Date:  2018-03-08       Impact factor: 6.116

Review 5.  ChIP-ping the branches of the tree: functional genomics and the evolution of eukaryotic gene regulation.

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Journal:  Brief Funct Genomics       Date:  2018-03-01       Impact factor: 4.241

6.  A Multiplexed System for Quantitative Comparisons of Chromatin Landscapes.

Authors:  Peter van Galen; Aaron D Viny; Oren Ram; Russell J H Ryan; Matthew J Cotton; Laura Donohue; Cem Sievers; Yotam Drier; Brian B Liau; Shawn M Gillespie; Kaitlin M Carroll; Michael B Cross; Ross L Levine; Bradley E Bernstein
Journal:  Mol Cell       Date:  2015-12-10       Impact factor: 17.970

7.  microDuMIP: target-enrichment technique for microarray-based duplex molecular inversion probes.

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Journal:  Nucleic Acids Res       Date:  2014-11-20       Impact factor: 16.971

8.  Ultrasensitive detection of circulating tumour DNA via deep methylation sequencing aided by machine learning.

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9.  Metagenomic and Metatranscriptomic Analyses Reveal the Structure and Dynamics of a Dechlorinating Community Containing Dehalococcoides mccartyi and Corrinoid-Providing Microorganisms under Cobalamin-Limited Conditions.

Authors:  Yujie Men; Ke Yu; Jacob Bælum; Ying Gao; Julien Tremblay; Emmanuel Prestat; Ben Stenuit; Susannah G Tringe; Janet Jansson; Tong Zhang; Lisa Alvarez-Cohen
Journal:  Appl Environ Microbiol       Date:  2017-03-31       Impact factor: 4.792

10.  GDV1 induces sexual commitment of malaria parasites by antagonizing HP1-dependent gene silencing.

Authors:  Michael Filarsky; Sabine A Fraschka; Igor Niederwieser; Nicolas M B Brancucci; Eilidh Carrington; Elvira Carrió; Suzette Moes; Paul Jenoe; Richárd Bártfai; Till S Voss
Journal:  Science       Date:  2018-03-16       Impact factor: 47.728

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