Literature DB >> 21642965

Single-tube linear DNA amplification (LinDA) for robust ChIP-seq.

Pattabhiraman Shankaranarayanan1, Marco-Antonio Mendoza-Parra, Mannu Walia, Li Wang, Ning Li, Luisa M Trindade, Hinrich Gronemeyer.   

Abstract

Genome-wide profiling of transcription factors based on massive parallel sequencing of immunoprecipitated chromatin (ChIP-seq) requires nanogram amounts of DNA. Here we describe a high-fidelity, single-tube linear DNA amplification method (LinDA) for ChIP-seq and reChIP-seq with picogram DNA amounts obtained from a few thousand cells. This amplification technology will facilitate global analyses of transcription-factor binding and chromatin with very small cell populations, such as stem or cancer-initiating cells.

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Year:  2011        PMID: 21642965     DOI: 10.1038/nmeth.1626

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


  14 in total

1.  Genomic sequencing and methylation analysis by ligation mediated PCR.

Authors:  G P Pfeifer; S D Steigerwald; P R Mueller; B Wold; A D Riggs
Journal:  Science       Date:  1989-11-10       Impact factor: 47.728

2.  Comparison of sample preparation methods for ChIP-chip assays.

Authors:  Henriette O'Geen; Charles M Nicolet; Kim Blahnik; Roland Green; Peggy J Farnham
Journal:  Biotechniques       Date:  2006-11       Impact factor: 1.993

3.  Genome-scale ChIP-chip analysis using 10,000 human cells.

Authors:  Luis G Acevedo; A Leonardo Iniguez; Heather L Holster; Xinmin Zhang; Roland Green; Peggy J Farnham
Journal:  Biotechniques       Date:  2007-12       Impact factor: 1.993

4.  Genome-wide chromatin maps derived from limited numbers of hematopoietic progenitors.

Authors:  Mazhar Adli; Jiang Zhu; Bradley E Bernstein
Journal:  Nat Methods       Date:  2010-07-11       Impact factor: 28.547

5.  Chromatin profiling by directly sequencing small quantities of immunoprecipitated DNA.

Authors:  Alon Goren; Fatih Ozsolak; Noam Shoresh; Manching Ku; Mazhar Adli; Chris Hart; Melissa Gymrek; Or Zuk; Aviv Regev; Patrice M Milos; Bradley E Bernstein
Journal:  Nat Methods       Date:  2009-11-29       Impact factor: 28.547

6.  seqMINER: an integrated ChIP-seq data interpretation platform.

Authors:  Tao Ye; Arnaud R Krebs; Mohamed-Amin Choukrallah; Celine Keime; Frederic Plewniak; Irwin Davidson; Laszlo Tora
Journal:  Nucleic Acids Res       Date:  2010-12-21       Impact factor: 16.971

7.  Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing.

Authors:  Robert Pinard; Alex de Winter; Gary J Sarkis; Mark B Gerstein; Karrie R Tartaro; Ramona N Plant; Michael Egholm; Jonathan M Rothberg; John H Leamon
Journal:  BMC Genomics       Date:  2006-08-23       Impact factor: 3.969

8.  Whole genome amplification and its impact on CGH array profiles.

Authors:  Bente A Talseth-Palmer; Nikola A Bowden; Alyssa Hill; Cliff Meldrum; Rodney J Scott
Journal:  BMC Res Notes       Date:  2008-07-29

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

Authors:  Chih Long Liu; Stuart L Schreiber; Bradley E Bernstein
Journal:  BMC Genomics       Date:  2003-05-09       Impact factor: 3.969

10.  Model-based analysis of ChIP-Seq (MACS).

Authors:  Yong Zhang; Tao Liu; Clifford A Meyer; Jérôme Eeckhoute; David S Johnson; Bradley E Bernstein; Chad Nusbaum; Richard M Myers; Myles Brown; Wei Li; X Shirley Liu
Journal:  Genome Biol       Date:  2008-09-17       Impact factor: 13.583

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  62 in total

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

Authors:  Pattabhiraman Shankaranarayanan; Marco-Antonio Mendoza-Parra; Wouter van Gool; Luisa M Trindade; Hinrich Gronemeyer
Journal:  Nat Protoc       Date:  2012-01-26       Impact factor: 13.491

2.  Cell type-specific chromatin immunoprecipitation from multicellular complex samples using BiTS-ChIP.

Authors:  Stefan Bonn; Robert P Zinzen; Alexis Perez-Gonzalez; Andrew Riddell; Anne-Claude Gavin; Eileen E M Furlong
Journal:  Nat Protoc       Date:  2012-04-26       Impact factor: 13.491

Review 3.  Advances in the profiling of DNA modifications: cytosine methylation and beyond.

Authors:  Nongluk Plongthongkum; Dinh H Diep; Kun Zhang
Journal:  Nat Rev Genet       Date:  2014-08-27       Impact factor: 53.242

Review 4.  Maintaining and reprogramming genomic androgen receptor activity in prostate cancer.

Authors:  Ian G Mills
Journal:  Nat Rev Cancer       Date:  2014-03       Impact factor: 60.716

Review 5.  Spatially resolved transcriptomics and beyond.

Authors:  Nicola Crosetto; Magda Bienko; Alexander van Oudenaarden
Journal:  Nat Rev Genet       Date:  2014-12-02       Impact factor: 53.242

6.  aFARP-ChIP-seq, a convenient and reliable method for genome profiling in as few as 100 cells with a capability for multiplexing ChIP-seq.

Authors:  Wenbin Liu; Sibiao Yue; Xiaobin Zheng; Minjie Hu; Jia Cao; Yixian Zheng
Journal:  Epigenetics       Date:  2019-06-06       Impact factor: 4.528

7.  Induced Genome-Wide Binding of Three Arabidopsis WRKY Transcription Factors during Early MAMP-Triggered Immunity.

Authors:  Rainer P Birkenbihl; Barbara Kracher; Mario Roccaro; Imre E Somssich
Journal:  Plant Cell       Date:  2016-12-23       Impact factor: 11.277

Review 8.  Epigenetic States of nephron progenitors and epithelial differentiation.

Authors:  Mazhar Adli; Mahmut Parlak; Yuwen Li; Samir S El-Dahr
Journal:  J Cell Biochem       Date:  2015-06       Impact factor: 4.429

9.  Microfluidic Low-Input Fluidized-Bed Enabled ChIP-seq Device for Automated and Parallel Analysis of Histone Modifications.

Authors:  Travis W Murphy; Yuan-Pang Hsieh; Sai Ma; Yan Zhu; Chang Lu
Journal:  Anal Chem       Date:  2018-06-08       Impact factor: 6.986

Review 10.  ChIP-seq and beyond: new and improved methodologies to detect and characterize protein-DNA interactions.

Authors:  Terrence S Furey
Journal:  Nat Rev Genet       Date:  2012-10-23       Impact factor: 53.242

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