Literature DB >> 16998473

Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities.

Michael F Berger1, Anthony A Philippakis, Aaron M Qureshi, Fangxue S He, Preston W Estep, Martha L Bulyk.   

Abstract

Transcription factors (TFs) interact with specific DNA regulatory sequences to control gene expression throughout myriad cellular processes. However, the DNA binding specificities of only a small fraction of TFs are sufficiently characterized to predict the sequences that they can and cannot bind. We present a maximally compact, synthetic DNA sequence design for protein binding microarray (PBM) experiments that represents all possible DNA sequence variants of a given length k (that is, all 'k-mers') on a single, universal microarray. We constructed such all k-mer microarrays covering all 10-base pair (bp) binding sites by converting high-density single-stranded oligonucleotide arrays to double-stranded (ds) DNA arrays. Using these microarrays we comprehensively determined the binding specificities over a full range of affinities for five TFs of different structural classes from yeast, worm, mouse and human. The unbiased coverage of all k-mers permits high-throughput interrogation of binding site preferences, including nucleotide interdependencies, at unprecedented resolution.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16998473      PMCID: PMC4419707          DOI: 10.1038/nbt1246

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  28 in total

1.  Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity range.

Authors:  Aimée M Dudley; John Aach; Martin A Steffen; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-28       Impact factor: 11.205

2.  JASPAR: an open-access database for eukaryotic transcription factor binding profiles.

Authors:  Albin Sandelin; Wynand Alkema; Pär Engström; Wyeth W Wasserman; Boris Lenhard
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

3.  Quantitative high-throughput analysis of transcription factor binding specificities.

Authors:  Jane Linnell; Richard Mott; Simon Field; Dominic P Kwiatkowski; Jiannis Ragoussis; Irina A Udalova
Journal:  Nucleic Acids Res       Date:  2004-02-27       Impact factor: 16.971

4.  Rapid analysis of the DNA-binding specificities of transcription factors with DNA microarrays.

Authors:  Sonali Mukherjee; Michael F Berger; Ghil Jona; Xun S Wang; Dale Muzzey; Michael Snyder; Richard A Young; Martha L Bulyk
Journal:  Nat Genet       Date:  2004-11-14       Impact factor: 38.330

5.  Defining the sequence-recognition profile of DNA-binding molecules.

Authors:  Christopher L Warren; Natasha C S Kratochvil; Karl E Hauschild; Shane Foister; Mary L Brezinski; Peter B Dervan; George N Phillips; Aseem Z Ansari
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-17       Impact factor: 11.205

6.  Proteome-scale purification of human proteins from bacteria.

Authors:  Pascal Braun; Yanhui Hu; Binghua Shen; Allison Halleck; Malvika Koundinya; Ed Harlow; Joshua LaBaer
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-05       Impact factor: 11.205

7.  Quantitative analysis of EGR proteins binding to DNA: assessing additivity in both the binding site and the protein.

Authors:  Jiajian Liu; Gary D Stormo
Journal:  BMC Bioinformatics       Date:  2005-07-13       Impact factor: 3.169

8.  Binding affinities and cooperative interactions with bHLH activators delimit threshold responses to the dorsal gradient morphogen.

Authors:  J Jiang; M Levine
Journal:  Cell       Date:  1993-03-12       Impact factor: 41.582

9.  Crystal structure of the Oct-1 POU domain bound to an octamer site: DNA recognition with tethered DNA-binding modules.

Authors:  J D Klemm; M A Rould; R Aurora; W Herr; C O Pabo
Journal:  Cell       Date:  1994-04-08       Impact factor: 41.582

10.  The yeast centromere CDEI/Cpf1 complex: differences between in vitro binding and in vivo function.

Authors:  A Wilmen; H Pick; R K Niedenthal; M Sen-Gupta; J H Hegemann
Journal:  Nucleic Acids Res       Date:  1994-07-25       Impact factor: 16.971

View more
  353 in total

1.  Artificially designed promoters: understanding the role of spatial features and canonical binding sites in transcription.

Authors:  Martina Baumann; Marc P Höppner; Michael Meier; Jens Pontiller; Wolfgang Ernst; Reingard Grabherr; Evan Mauceli; Manfred G Grabherr
Journal:  Bioeng Bugs       Date:  2012-03-01

Review 2.  Computational tools for the synthetic design of biochemical pathways.

Authors:  Marnix H Medema; Renske van Raaphorst; Eriko Takano; Rainer Breitling
Journal:  Nat Rev Microbiol       Date:  2012-01-23       Impact factor: 60.633

3.  Improved models for transcription factor binding site identification using nonindependent interactions.

Authors:  Yue Zhao; Shuxiang Ruan; Manishi Pandey; Gary D Stormo
Journal:  Genetics       Date:  2012-04-13       Impact factor: 4.562

4.  Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence.

Authors:  Justin B Kinney; Anand Murugan; Curtis G Callan; Edward C Cox
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-03       Impact factor: 11.205

5.  A quantitative RNA code for mRNA target selection by the germline fate determinant GLD-1.

Authors:  Jane E Wright; Dimos Gaidatzis; Mathias Senften; Brian M Farley; Eric Westhof; Sean P Ryder; Rafal Ciosk
Journal:  EMBO J       Date:  2010-12-17       Impact factor: 11.598

Review 6.  Systematic characterization of protein-DNA interactions.

Authors:  Zhi Xie; Shaohui Hu; Jiang Qian; Seth Blackshaw; Heng Zhu
Journal:  Cell Mol Life Sci       Date:  2011-01-05       Impact factor: 9.261

Review 7.  Experimental strategies for studying transcription factor-DNA binding specificities.

Authors:  Marcel Geertz; Sebastian J Maerkl
Journal:  Brief Funct Genomics       Date:  2010-09-23       Impact factor: 4.241

8.  Minimum epistasis interpolation for sequence-function relationships.

Authors:  Juannan Zhou; David M McCandlish
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

Review 9.  Determining causality and consequence of expression quantitative trait loci.

Authors:  A Battle; S B Montgomery
Journal:  Hum Genet       Date:  2014-04-26       Impact factor: 4.132

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.