Literature DB >> 15543148

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

Sonali Mukherjee1, Michael F Berger, Ghil Jona, Xun S Wang, Dale Muzzey, Michael Snyder, Richard A Young, Martha L Bulyk.   

Abstract

We developed a new DNA microarray-based technology, called protein binding microarrays (PBMs), that allows rapid, high-throughput characterization of the in vitro DNA binding-site sequence specificities of transcription factors in a single day. Using PBMs, we identified the DNA binding-site sequence specificities of the yeast transcription factors Abf1, Rap1 and Mig1. Comparison of these proteins' in vitro binding sites with their in vivo binding sites indicates that PBM-derived sequence specificities can accurately reflect in vivo DNA sequence specificities. In addition to previously identified targets, Abf1, Rap1 and Mig1 bound to 107, 90 and 75 putative new target intergenic regions, respectively, many of which were upstream of previously uncharacterized open reading frames. Comparative sequence analysis indicated that many of these newly identified sites are highly conserved across five sequenced sensu stricto yeast species and, therefore, are probably functional in vivo binding sites that may be used in a condition-specific manner. Similar PBM experiments should be useful in identifying new cis regulatory elements and transcriptional regulatory networks in various genomes.

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Year:  2004        PMID: 15543148      PMCID: PMC2692596          DOI: 10.1038/ng1473

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  47 in total

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Journal:  Nucleic Acids Res       Date:  1990-10-25       Impact factor: 16.971

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Journal:  Cell       Date:  1996-04-05       Impact factor: 41.582

6.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

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Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

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Journal:  Nature       Date:  2004-09-02       Impact factor: 49.962

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Authors:  D W Griggs; M Johnston
Journal:  Proc Natl Acad Sci U S A       Date:  1991-10-01       Impact factor: 11.205

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  169 in total

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Review 2.  Experimental strategies for studying transcription factor-DNA binding specificities.

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Review 3.  Determining the specificity of protein-DNA interactions.

Authors:  Gary D Stormo; Yue Zhao
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4.  Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning.

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Review 5.  Small Genetic Circuits and MicroRNAs: Big Players in Polymerase II Transcriptional Control in Plants.

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Review 7.  Issues in the analysis of oligonucleotide tiling microarrays for transcript mapping.

Authors:  Thomas E Royce; Joel S Rozowsky; Paul Bertone; Manoj Samanta; Viktor Stolc; Sherman Weissman; Michael Snyder; Mark Gerstein
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8.  Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework.

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9.  De novo prediction of DNA-binding specificities for Cys2His2 zinc finger proteins.

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10.  Genome-wide promoter analysis of the SOX4 transcriptional network in prostate cancer cells.

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