Literature DB >> 23090257

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

Terrence S Furey1.   

Abstract

Chromatin immunoprecipitation experiments followed by sequencing (ChIP-seq) detect protein-DNA binding events and chemical modifications of histone proteins. Challenges in the standard ChIP-seq protocol have motivated recent enhancements in this approach, such as reducing the number of cells that are required and increasing the resolution. Complementary experimental approaches - for example, DNaseI hypersensitive site mapping and analysis of chromatin interactions that are mediated by particular proteins - provide additional information about DNA-binding proteins and their function. These data are now being used to identify variability in the functions of DNA-binding proteins across genomes and individuals. In this Review, I describe the latest advances in methods to detect and functionally characterize DNA-bound proteins.

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Year:  2012        PMID: 23090257      PMCID: PMC3591838          DOI: 10.1038/nrg3306

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  104 in total

1.  Heritable individual-specific and allele-specific chromatin signatures in humans.

Authors:  Ryan McDaniell; Bum-Kyu Lee; Lingyun Song; Zheng Liu; Alan P Boyle; Michael R Erdos; Laura J Scott; Mario A Morken; Katerina S Kucera; Anna Battenhouse; Damian Keefe; Francis S Collins; Huntington F Willard; Jason D Lieb; Terrence S Furey; Gregory E Crawford; Vishwanath R Iyer; Ewan Birney
Journal:  Science       Date:  2010-03-18       Impact factor: 47.728

2.  Variation in transcription factor binding among humans.

Authors:  Maya Kasowski; Fabian Grubert; Christopher Heffelfinger; Manoj Hariharan; Akwasi Asabere; Sebastian M Waszak; Lukas Habegger; Joel Rozowsky; Minyi Shi; Alexander E Urban; Mi-Young Hong; Konrad J Karczewski; Wolfgang Huber; Sherman M Weissman; Mark B Gerstein; Jan O Korbel; Michael Snyder
Journal:  Science       Date:  2010-03-18       Impact factor: 47.728

3.  ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing.

Authors:  Guoliang Li; Melissa J Fullwood; Han Xu; Fabianus Hendriyan Mulawadi; Stoyan Velkov; Vinsensius Vega; Pramila Nuwantha Ariyaratne; Yusoff Bin Mohamed; Hong-Sain Ooi; Chandana Tennakoon; Chia-Lin Wei; Yijun Ruan; Wing-Kin Sung
Journal:  Genome Biol       Date:  2010-02-25       Impact factor: 13.583

4.  ChIP-PaM: an algorithm to identify protein-DNA interaction using ChIP-Seq data.

Authors:  Song Wu; Jianmin Wang; Wei Zhao; Stanley Pounds; Cheng Cheng
Journal:  Theor Biol Med Model       Date:  2010-06-03       Impact factor: 2.432

5.  De novo motif identification improves the accuracy of predicting transcription factor binding sites in ChIP-Seq data analysis.

Authors:  Valentina Boeva; Didier Surdez; Noëlle Guillon; Franck Tirode; Anthony P Fejes; Olivier Delattre; Emmanuel Barillot
Journal:  Nucleic Acids Res       Date:  2010-04-07       Impact factor: 16.971

6.  Fast and SNP-tolerant detection of complex variants and splicing in short reads.

Authors:  Thomas D Wu; Serban Nacu
Journal:  Bioinformatics       Date:  2010-02-10       Impact factor: 6.937

7.  Evidence-ranked motif identification.

Authors:  Stoyan Georgiev; Alan P Boyle; Karthik Jayasurya; Xuan Ding; Sayan Mukherjee; Uwe Ohler
Journal:  Genome Biol       Date:  2010-02-15       Impact factor: 13.583

8.  Genetic analysis of variation in transcription factor binding in yeast.

Authors:  Wei Zheng; Hongyu Zhao; Eugenio Mancera; Lars M Steinmetz; Michael Snyder
Journal:  Nature       Date:  2010-03-17       Impact factor: 49.962

9.  Evaluation of algorithm performance in ChIP-seq peak detection.

Authors:  Elizabeth G Wilbanks; Marc T Facciotti
Journal:  PLoS One       Date:  2010-07-08       Impact factor: 3.240

10.  On the detection and refinement of transcription factor binding sites using ChIP-Seq data.

Authors:  Ming Hu; Jindan Yu; Jeremy M G Taylor; Arul M Chinnaiyan; Zhaohui S Qin
Journal:  Nucleic Acids Res       Date:  2010-01-06       Impact factor: 16.971

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  260 in total

1.  SpDamID: Marking DNA Bound by Protein Complexes Identifies Notch-Dimer Responsive Enhancers.

Authors:  Matthew R Hass; Hien-Haw Liow; Xiaoting Chen; Ankur Sharma; Yukiko U Inoue; Takayoshi Inoue; Ashley Reeb; Andrew Martens; Mary Fulbright; Saravanan Raju; Michael Stevens; Scott Boyle; Joo-Seop Park; Matthew T Weirauch; Michael R Brent; Raphael Kopan
Journal:  Mol Cell       Date:  2015-08-06       Impact factor: 17.970

Review 2.  Unravelling the genomic targets of small molecules using high-throughput sequencing.

Authors:  Raphaël Rodriguez; Kyle M Miller
Journal:  Nat Rev Genet       Date:  2014-10-14       Impact factor: 53.242

3.  SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.

Authors:  Siwen Hu-Lieskovan; Srabani Bhaumik; Kavita Dhodapkar; Jean-Charles J B Grivel; Sumati Gupta; Brent A Hanks; Sylvia Janetzki; Thomas O Kleen; Yoshinobu Koguchi; Amanda W Lund; Cristina Maccalli; Yolanda D Mahnke; Ruslan D Novosiadly; Senthamil R Selvan; Tasha Sims; Yingdong Zhao; Holden T Maecker
Journal:  J Immunother Cancer       Date:  2020-12       Impact factor: 13.751

4.  Emerging Chemistry Strategies for Engineering Native Chromatin.

Authors:  Yael David; Tom W Muir
Journal:  J Am Chem Soc       Date:  2017-06-27       Impact factor: 15.419

Review 5.  Vision from next generation sequencing: multi-dimensional genome-wide analysis for producing gene regulatory networks underlying retinal development, aging and disease.

Authors:  Hyun-Jin Yang; Rinki Ratnapriya; Tiziana Cogliati; Jung-Woong Kim; Anand Swaroop
Journal:  Prog Retin Eye Res       Date:  2015-02-07       Impact factor: 21.198

6.  Discriminative motif optimization based on perceptron training.

Authors:  Ronak Y Patel; Gary D Stormo
Journal:  Bioinformatics       Date:  2013-12-24       Impact factor: 6.937

7.  Highly expressed loci are vulnerable to misleading ChIP localization of multiple unrelated proteins.

Authors:  Leonid Teytelman; Deborah M Thurtle; Jasper Rine; Alexander van Oudenaarden
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-30       Impact factor: 11.205

Review 8.  The role of replicates for error mitigation in next-generation sequencing.

Authors:  Kimberly Robasky; Nathan E Lewis; George M Church
Journal:  Nat Rev Genet       Date:  2013-12-10       Impact factor: 53.242

Review 9.  The future of whole-cell modeling.

Authors:  Derek N Macklin; Nicholas A Ruggero; Markus W Covert
Journal:  Curr Opin Biotechnol       Date:  2014-02-17       Impact factor: 9.740

10.  An epigenetic roadmap for cardiomyocyte differentiation.

Authors:  Michael S Parmacek; Jonathan A Epstein
Journal:  Circ Res       Date:  2013-03-15       Impact factor: 17.367

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