Literature DB >> 26914206

Genome-wide footprinting: ready for prime time?

Myong-Hee Sung1, Songjoon Baek1, Gordon L Hager1.   

Abstract

High-throughput sequencing technologies have allowed many gene locus-level molecular biology assays to become genome-wide profiling methods. DNA-cleaving enzymes such as DNase I have been used to probe accessible chromatin. The accessible regions contain functional regulatory sites, including promoters, insulators and enhancers. Deep sequencing of DNase-seq libraries and computational analysis of the cut profiles have been used to infer protein occupancy in the genome at the nucleotide level, a method introduced as 'digital genomic footprinting'. The approach has been proposed as an attractive alternative to the analysis of transcription factors (TFs) by chromatin immunoprecipitation followed by sequencing (ChIP-seq), and in theory it should overcome antibody issues, poor resolution and batch effects. Recent reports point to limitations of the DNase-based genomic footprinting approach and call into question the scope of detectable protein occupancy, especially for TFs with short-lived chromatin binding. The genomics community is grappling with issues concerning the utility of genomic footprinting and is reassessing the proposed approaches in terms of robust deliverables. Here we summarize the consensus as well as different views emerging from recent reports, and we describe the remaining issues and hurdles for genomic footprinting.

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Year:  2016        PMID: 26914206      PMCID: PMC5140282          DOI: 10.1038/nmeth.3766

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


  58 in total

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Authors:  J G McNally; W G Müller; D Walker; R Wolford; G L Hager
Journal:  Science       Date:  2000-02-18       Impact factor: 47.728

2.  Epigenetic priors for identifying active transcription factor binding sites.

Authors:  Gabriel Cuellar-Partida; Fabian A Buske; Robert C McLeay; Tom Whitington; William Stafford Noble; Timothy L Bailey
Journal:  Bioinformatics       Date:  2011-11-08       Impact factor: 6.937

3.  High-resolution genome-wide in vivo footprinting of diverse transcription factors in human cells.

Authors:  Alan P Boyle; Lingyun Song; Bum-Kyu Lee; Darin London; Damian Keefe; Ewan Birney; Vishwanath R Iyer; Gregory E Crawford; Terrence S Furey
Journal:  Genome Res       Date:  2010-11-24       Impact factor: 9.043

4.  A method for mapping intranuclear protein-DNA interactions and its application to a nuclease hypersensitive site.

Authors:  P D Jackson; G Felsenfeld
Journal:  Proc Natl Acad Sci U S A       Date:  1985-04       Impact factor: 11.205

5.  Evaluation of methods for modeling transcription factor sequence specificity.

Authors:  Matthew T Weirauch; Atina Cote; Raquel Norel; Matti Annala; Yue Zhao; Todd R Riley; Julio Saez-Rodriguez; Thomas Cokelaer; Anastasia Vedenko; Shaheynoor Talukder; Harmen J Bussemaker; Quaid D Morris; Martha L Bulyk; Gustavo Stolovitzky; Timothy R Hughes
Journal:  Nat Biotechnol       Date:  2013-01-27       Impact factor: 54.908

6.  Architecture of the human regulatory network derived from ENCODE data.

Authors:  Mark B Gerstein; Anshul Kundaje; Manoj Hariharan; Stephen G Landt; Koon-Kiu Yan; Chao Cheng; Xinmeng Jasmine Mu; Ekta Khurana; Joel Rozowsky; Roger Alexander; Renqiang Min; Pedro Alves; Alexej Abyzov; Nick Addleman; Nitin Bhardwaj; Alan P Boyle; Philip Cayting; Alexandra Charos; David Z Chen; Yong Cheng; Declan Clarke; Catharine Eastman; Ghia Euskirchen; Seth Frietze; Yao Fu; Jason Gertz; Fabian Grubert; Arif Harmanci; Preti Jain; Maya Kasowski; Phil Lacroute; Jing Jane Leng; Jin Lian; Hannah Monahan; Henriette O'Geen; Zhengqing Ouyang; E Christopher Partridge; Dorrelyn Patacsil; Florencia Pauli; Debasish Raha; Lucia Ramirez; Timothy E Reddy; Brian Reed; Minyi Shi; Teri Slifer; Jing Wang; Linfeng Wu; Xinqiong Yang; Kevin Y Yip; Gili Zilberman-Schapira; Serafim Batzoglou; Arend Sidow; Peggy J Farnham; Richard M Myers; Sherman M Weissman; Michael Snyder
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

7.  Overlapping chromatin-remodeling systems collaborate genome wide at dynamic chromatin transitions.

Authors:  Stephanie A Morris; Songjoon Baek; Myong-Hee Sung; Sam John; Malgorzata Wiench; Thomas A Johnson; R Louis Schiltz; Gordon L Hager
Journal:  Nat Struct Mol Biol       Date:  2013-12-08       Impact factor: 15.369

8.  Refined DNase-seq protocol and data analysis reveals intrinsic bias in transcription factor footprint identification.

Authors:  Housheng Hansen He; Clifford A Meyer; Sheng'en Shawn Hu; Mei-Wei Chen; Chongzhi Zang; Yin Liu; Prakash K Rao; Teng Fei; Han Xu; Henry Long; X Shirley Liu; Myles Brown
Journal:  Nat Methods       Date:  2013-12-08       Impact factor: 28.547

9.  Single-molecule imaging of transcription factor binding to DNA in live mammalian cells.

Authors:  J Christof M Gebhardt; David M Suter; Rahul Roy; Ziqing W Zhao; Alec R Chapman; Srinjan Basu; Tom Maniatis; X Sunney Xie
Journal:  Nat Methods       Date:  2013-03-24       Impact factor: 28.547

10.  An expansive human regulatory lexicon encoded in transcription factor footprints.

Authors:  Shane Neph; Jeff Vierstra; Andrew B Stergachis; Alex P Reynolds; Eric Haugen; Benjamin Vernot; Robert E Thurman; Sam John; Richard Sandstrom; Audra K Johnson; Matthew T Maurano; Richard Humbert; Eric Rynes; Hao Wang; Shinny Vong; Kristen Lee; Daniel Bates; Morgan Diegel; Vaughn Roach; Douglas Dunn; Jun Neri; Anthony Schafer; R Scott Hansen; Tanya Kutyavin; Erika Giste; Molly Weaver; Theresa Canfield; Peter Sabo; Miaohua Zhang; Gayathri Balasundaram; Rachel Byron; Michael J MacCoss; Joshua M Akey; M A Bender; Mark Groudine; Rajinder Kaul; John A Stamatoyannopoulos
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

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  24 in total

Review 1.  Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes Using ATAC-seq.

Authors:  Georgi K Marinov; Zohar Shipony
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Genome-wide analysis of chromatin accessibility using ATAC-seq.

Authors:  Tanvi Shashikant; Charles A Ettensohn
Journal:  Methods Cell Biol       Date:  2018-12-21       Impact factor: 1.441

3.  Profiling of Accessible Chromatin Regions across Multiple Plant Species and Cell Types Reveals Common Gene Regulatory Principles and New Control Modules.

Authors:  Kelsey A Maher; Marko Bajic; Kaisa Kajala; Mauricio Reynoso; Germain Pauluzzi; Donnelly A West; Kristina Zumstein; Margaret Woodhouse; Kerry Bubb; Michael W Dorrity; Christine Queitsch; Julia Bailey-Serres; Neelima Sinha; Siobhan M Brady; Roger B Deal
Journal:  Plant Cell       Date:  2017-12-11       Impact factor: 11.277

4.  Bivariate Genomic Footprinting Detects Changes in Transcription Factor Activity.

Authors:  Songjoon Baek; Ido Goldstein; Gordon L Hager
Journal:  Cell Rep       Date:  2017-05-23       Impact factor: 9.423

5.  BiFET: sequencing Bias-free transcription factor Footprint Enrichment Test.

Authors:  Ahrim Youn; Eladio J Marquez; Nathan Lawlor; Michael L Stitzel; Duygu Ucar
Journal:  Nucleic Acids Res       Date:  2019-01-25       Impact factor: 16.971

6.  Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data.

Authors:  Yong Wang; Rui Jiang; Wing Hung Wong
Journal:  Natl Sci Rev       Date:  2016-04-19       Impact factor: 17.275

7.  Dynamic Gene Regulatory Networks of Human Myeloid Differentiation.

Authors:  Ricardo N Ramirez; Nicole C El-Ali; Mikayla Anne Mager; Dana Wyman; Ana Conesa; Ali Mortazavi
Journal:  Cell Syst       Date:  2017-03-29       Impact factor: 10.304

Review 8.  Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns.

Authors:  Divyanshi Srivastava; Shaun Mahony
Journal:  Biochim Biophys Acta Gene Regul Mech       Date:  2019-10-19       Impact factor: 4.490

Review 9.  Transcription factor-DNA binding: beyond binding site motifs.

Authors:  Sachi Inukai; Kian Hong Kock; Martha L Bulyk
Journal:  Curr Opin Genet Dev       Date:  2017-03-27       Impact factor: 5.578

Review 10.  Chromatin reprogramming in breast cancer.

Authors:  Erin E Swinstead; Ville Paakinaho; Gordon L Hager
Journal:  Endocr Relat Cancer       Date:  2018-04-24       Impact factor: 5.678

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