Literature DB >> 22101854

Counting absolute numbers of molecules using unique molecular identifiers.

Teemu Kivioja1, Anna Vähärautio, Kasper Karlsson, Martin Bonke, Martin Enge, Sten Linnarsson, Jussi Taipale.   

Abstract

Counting individual RNA or DNA molecules is difficult because they are hard to copy quantitatively for detection. To overcome this limitation, we applied unique molecular identifiers (UMIs), which make each molecule in a population distinct, to genome-scale human karyotyping and mRNA sequencing in Drosophila melanogaster. Use of this method can improve accuracy of almost any next-generation sequencing method, including chromatin immunoprecipitation-sequencing, genome assembly, diagnostics and manufacturing-process control and monitoring.

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Year:  2011        PMID: 22101854     DOI: 10.1038/nmeth.1778

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  20 in total

1.  Digital PCR.

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Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

2.  Regionalized GC content of template DNA as a predictor of PCR success.

Authors:  Yair Benita; Ronald S Oosting; Martin C Lok; Michael J Wise; Ian Humphery-Smith
Journal:  Nucleic Acids Res       Date:  2003-08-15       Impact factor: 16.971

3.  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

4.  Direct RNA sequencing.

Authors:  Fatih Ozsolak; Adam R Platt; Dan R Jones; Jeffrey G Reifenberger; Lauryn E Sass; Peter McInerney; John F Thompson; Jayson Bowers; Mirna Jarosz; Patrice M Milos
Journal:  Nature       Date:  2009-09-23       Impact factor: 49.962

5.  Reverse transcriptase template switching: a SMART approach for full-length cDNA library construction.

Authors:  Y Y Zhu; E M Machleder; A Chenchik; R Li; P D Siebert
Journal:  Biotechniques       Date:  2001-04       Impact factor: 1.993

6.  Amplification-free digital gene expression profiling from minute cell quantities.

Authors:  Fatih Ozsolak; David T Ting; Ben S Wittner; Brian W Brannigan; Suchismita Paul; Nabeel Bardeesy; Sridhar Ramaswamy; Patrice M Milos; Daniel A Haber
Journal:  Nat Methods       Date:  2010-07-18       Impact factor: 28.547

7.  Quantification of the yeast transcriptome by single-molecule sequencing.

Authors:  Doron Lipson; Tal Raz; Alix Kieu; Daniel R Jones; Eldar Giladi; Edward Thayer; John F Thompson; Stan Letovsky; Patrice Milos; Marie Causey
Journal:  Nat Biotechnol       Date:  2009-07-05       Impact factor: 54.908

8.  A method for counting PCR template molecules with application to next-generation sequencing.

Authors:  James A Casbon; Robert J Osborne; Sydney Brenner; Conrad P Lichtenstein
Journal:  Nucleic Acids Res       Date:  2011-04-13       Impact factor: 16.971

9.  Differential expression analysis for sequence count data.

Authors:  Simon Anders; Wolfgang Huber
Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

10.  iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution.

Authors:  Julian König; Kathi Zarnack; Gregor Rot; Tomaz Curk; Melis Kayikci; Blaz Zupan; Daniel J Turner; Nicholas M Luscombe; Jernej Ule
Journal:  Nat Struct Mol Biol       Date:  2010-07-04       Impact factor: 15.369

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  373 in total

1.  Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes.

Authors:  Katsuyuki Shiroguchi; Tony Z Jia; Peter A Sims; X Sunney Xie
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-09       Impact factor: 11.205

Review 2.  Single-cell epigenomics: techniques and emerging applications.

Authors:  Omer Schwartzman; Amos Tanay
Journal:  Nat Rev Genet       Date:  2015-10-13       Impact factor: 53.242

3.  Q-RRBS: a quantitative reduced representation bisulfite sequencing method for single-cell methylome analyses.

Authors:  Kangli Wang; Xianfeng Li; Shanshan Dong; Jialong Liang; Fengbiao Mao; Cheng Zeng; Honghu Wu; Jinyu Wu; Wanshi Cai; Zhong Sheng Sun
Journal:  Epigenetics       Date:  2015-07-25       Impact factor: 4.528

4.  Transcript Barcoding Illuminates the Expression Level of Synthetic Constructs in E. coli Nissle Residing in the Mammalian Gut.

Authors:  Nathan Crook; Aura Ferreiro; Zevin Condiotte; Gautam Dantas
Journal:  ACS Synth Biol       Date:  2020-04-29       Impact factor: 5.110

5.  Quantitative single-cell RNA-seq with unique molecular identifiers.

Authors:  Saiful Islam; Amit Zeisel; Simon Joost; Gioele La Manno; Pawel Zajac; Maria Kasper; Peter Lönnerberg; Sten Linnarsson
Journal:  Nat Methods       Date:  2013-12-22       Impact factor: 28.547

Review 6.  Single-cell sequencing-based technologies will revolutionize whole-organism science.

Authors:  Ehud Shapiro; Tamir Biezuner; Sten Linnarsson
Journal:  Nat Rev Genet       Date:  2013-07-30       Impact factor: 53.242

7.  Practical innovations for high-throughput amplicon sequencing.

Authors:  Derek S Lundberg; Scott Yourstone; Piotr Mieczkowski; Corbin D Jones; Jeffery L Dangl
Journal:  Nat Methods       Date:  2013-09-01       Impact factor: 28.547

8.  Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes.

Authors:  Amalie Kai Bentzen; Andrea Marion Marquard; Rikke Lyngaa; Sunil Kumar Saini; Sofie Ramskov; Marco Donia; Lina Such; Andrew J S Furness; Nicholas McGranahan; Rachel Rosenthal; Per Thor Straten; Zoltan Szallasi; Inge Marie Svane; Charles Swanton; Sergio A Quezada; Søren Nyboe Jakobsen; Aron Charles Eklund; Sine Reker Hadrup
Journal:  Nat Biotechnol       Date:  2016-08-29       Impact factor: 54.908

9.  Single-Cell RNA Sequencing of Ovarian Cancer: Promises and Challenges.

Authors:  Shobhana Talukdar; Zenas Chang; Boris Winterhoff; Timothy K Starr
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 10.  RNA-Seq methods for transcriptome analysis.

Authors:  Radmila Hrdlickova; Masoud Toloue; Bin Tian
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-05-19       Impact factor: 9.957

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