Literature DB >> 32461370

A parallelized, automated platform enabling individual or sequential ChIP of histone marks and transcription factors.

Riccardo Dainese1,2, Vincent Gardeux1,2, Gerard Llimos1,2, Daniel Alpern1,2, Jia Yuan Jiang1, Antonio Carlos Alves Meireles-Filho1,2, Bart Deplancke3,2.   

Abstract

Despite its popularity, chromatin immunoprecipitation followed by sequencing (ChIP-seq) remains a tedious (>2 d), manually intensive, low-sensitivity and low-throughput approach. Here, we combine principles of microengineering, surface chemistry, and molecular biology to address the major limitations of standard ChIP-seq. The resulting technology, FloChIP, automates and miniaturizes ChIP in a beadless fashion while facilitating the downstream library preparation process through on-chip chromatin tagmentation. FloChIP is fast (<2 h), has a wide dynamic range (from 106 to 500 cells), is scalable and parallelized, and supports antibody- or sample-multiplexed ChIP on both histone marks and transcription factors. In addition, FloChIP's interconnected design allows for straightforward chromatin reimmunoprecipitation, which allows this technology to also act as a microfluidic sequential ChIP-seq system. Finally, we ran FloChIP for the transcription factor MEF2A in 32 distinct human lymphoblastoid cell lines, providing insights into the main factors driving collaborative DNA binding of MEF2A and into its role in B cell-specific gene regulation. Together, our results validate FloChIP as a flexible and reproducible automated solution for individual or sequential ChIP-seq.

Entities:  

Keywords:  ChIP-seq; epigenetics; microfluidics; transcription factor

Year:  2020        PMID: 32461370      PMCID: PMC7306797          DOI: 10.1073/pnas.1913261117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  46 in total

1.  A bivalent chromatin structure marks key developmental genes in embryonic stem cells.

Authors:  Bradley E Bernstein; Tarjei S Mikkelsen; Xiaohui Xie; Michael Kamal; Dana J Huebert; James Cuff; Ben Fry; Alex Meissner; Marius Wernig; Kathrin Plath; Rudolf Jaenisch; Alexandre Wagschal; Robert Feil; Stuart L Schreiber; Eric S Lander
Journal:  Cell       Date:  2006-04-21       Impact factor: 41.582

Review 2.  Transcription factors: from enhancer binding to developmental control.

Authors:  François Spitz; Eileen E M Furlong
Journal:  Nat Rev Genet       Date:  2012-08-07       Impact factor: 53.242

3.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

4.  HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis.

Authors:  Ivan V Kulakovskiy; Ilya E Vorontsov; Ivan S Yevshin; Ruslan N Sharipov; Alla D Fedorova; Eugene I Rumynskiy; Yulia A Medvedeva; Arturo Magana-Mora; Vladimir B Bajic; Dmitry A Papatsenko; Fedor A Kolpakov; Vsevolod J Makeev
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

Review 5.  The Genetics of Transcription Factor DNA Binding Variation.

Authors:  Bart Deplancke; Daniel Alpern; Vincent Gardeux
Journal:  Cell       Date:  2016-07-28       Impact factor: 41.582

6.  reChIP-seq reveals widespread bivalency of H3K4me3 and H3K27me3 in CD4(+) memory T cells.

Authors:  Sarah Kinkley; Johannes Helmuth; Julia K Polansky; Ilona Dunkel; Gilles Gasparoni; Sebastian Fröhler; Wei Chen; Jörn Walter; Alf Hamann; Ho-Ryun Chung
Journal:  Nat Commun       Date:  2016-08-17       Impact factor: 14.919

7.  ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia.

Authors:  Stephen G Landt; Georgi K Marinov; Anshul Kundaje; Pouya Kheradpour; Florencia Pauli; Serafim Batzoglou; Bradley E Bernstein; Peter Bickel; James B Brown; Philip Cayting; Yiwen Chen; Gilberto DeSalvo; Charles Epstein; Katherine I Fisher-Aylor; Ghia Euskirchen; Mark Gerstein; Jason Gertz; Alexander J Hartemink; Michael M Hoffman; Vishwanath R Iyer; Youngsook L Jung; Subhradip Karmakar; Manolis Kellis; Peter V Kharchenko; Qunhua Li; Tao Liu; X Shirley Liu; Lijia Ma; Aleksandar Milosavljevic; Richard M Myers; Peter J Park; Michael J Pazin; Marc D Perry; Debasish Raha; Timothy E Reddy; Joel Rozowsky; Noam Shoresh; Arend Sidow; Matthew Slattery; John A Stamatoyannopoulos; Michael Y Tolstorukov; Kevin P White; Simon Xi; Peggy J Farnham; Jason D Lieb; Barbara J Wold; Michael Snyder
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

8.  A microfluidic device for epigenomic profiling using 100 cells.

Authors:  Zhenning Cao; Changya Chen; Bing He; Kai Tan; Chang Lu
Journal:  Nat Methods       Date:  2015-07-27       Impact factor: 28.547

9.  Fully automated high-throughput chromatin immunoprecipitation for ChIP-seq: identifying ChIP-quality p300 monoclonal antibodies.

Authors:  William C Gasper; Georgi K Marinov; Florencia Pauli-Behn; Max T Scott; Kimberly Newberry; Gilberto DeSalvo; Susan Ou; Richard M Myers; Jost Vielmetter; Barbara J Wold
Journal:  Sci Rep       Date:  2014-06-12       Impact factor: 4.379

10.  ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors.

Authors:  Christian Schmidl; André F Rendeiro; Nathan C Sheffield; Christoph Bock
Journal:  Nat Methods       Date:  2015-08-17       Impact factor: 28.547

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  1 in total

1.  Single-cell joint detection of chromatin occupancy and transcriptome enables higher-dimensional epigenomic reconstructions.

Authors:  Haiqing Xiong; Yingjie Luo; Qianhao Wang; Xianhong Yu; Aibin He
Journal:  Nat Methods       Date:  2021-05-06       Impact factor: 28.547

  1 in total

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