The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors
Open accessAbstract
Protein-binding microarray (PBM) technology provides a rapid, high-throughput means of characterizing the in vitro DNA-binding specificities of transcription factors (TFs). Using high-density, custom-designed microarrays containing all 10-mer sequence variants, one can obtain comprehensive binding-site measurements for any TF, regardless of its structural class or species of origin. Here, we present a protocol for the examination and analysis of TF-binding specificities at high resolution using such 'all 10-mer' universal PBMs. This procedure involves double-stranding a commercially synthesized DNA oligonucleotide array, binding a TF directly to the double-stranded DNA microarray and labeling the protein-bound microarray with a fluorophore-conjugated antibody. We describe how to computationally extract the relative binding preferences of the examined TF for all possible contiguous and gapped 8-mers over the full range of affinities, from highest affinity sites to nonspecific sites. Multiple proteins can be tested in parallel in separate chambers on a single microarray, enabling the processing of a dozen or more TFs in a single day.
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Cites
A Global Map of p53 Transcription-Factor Binding Sites in the Human Genome
Wei, C.-L., Wu, Q., Vega, V. B., Chiu, K. P., Ng, P., Zhang, T., Shahab, A., Yong, H. C., Fu, Y., Weng, Z., et al. (2006) · Cell · doi:10.1016/j.cell.2005.10.043 · Cited by 1,141
Variation in Homeodomain DNA Binding Revealed by High-Resolution Analysis of Sequence Preferences
Berger, M. F., Badis, G., Gehrke, A. R., Talukder, S., Philippakis, A. A., Peña-Castillo, L., Alleyne, T. M., Mnaimneh, S., Botvinnik, O. B., Chan, E. T., et al. (2008) · Cell · doi:10.1016/j.cell.2008.05.024 · Cited by 606
Self-citationA systems approach to measuring the binding energy landscapes of transcription factors.
Maerkl, S. J., & Quake, S. R. (2007) · Science · doi:10.1126/science.1131007 · Cited by 584
Cited by
A compendium of RNA-binding motifs for decoding gene regulation
Ray, D., Kazan, H., Cook, K. B., Weirauch, M. T., Najafabadi, H. S., Li, X., Gueroussov, S., Albu, M., Zheng, H., Yang, A., et al. (2013) · Nature · doi:10.1038/nature12311 · Cited by 1,480
Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape
O’Malley, R. C., Huang, S.-S. C., Song, L., Lewsey, M. G., Bartlett, A., Nery, J. R., Galli, M., Gallavotti, A., & Ecker, J. R. (2016) · Cell · doi:10.1016/j.cell.2016.04.038 · Cited by 1,608
DREME: motif discovery in transcription factor ChIP-seq data
Bailey, T. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr261 · Cited by 1,044
Diversity and Complexity in DNA Recognition by Transcription Factors
Badis, G., Berger, M. F., Philippakis, A. A., Talukder, S., Gehrke, A. R., Jaeger, S. A., Chan, E. T., Metzler, G., Vedenko, A., Chen, X., et al. (2009) · Science · doi:10.1126/science.1162327 · Cited by 990
Self-citationDNA-binding specificities of plant transcription factors and their potential to define target genes
Franco-Zorrilla, J. M., López-Vidriero, I., Carrasco, J. L., Godoy, M., Vera, P., & Solano, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316278111 · Cited by 746
Metadata
- Authors
- Berger, M. F., & Bulyk, M. L.
- Venue
- Nature Protocols
- Published
- 2009-03
- Volume
- 4
- Issue
- 3
- Pages
- 393-411
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W2061834804
- Cited by
- 396
- References
- 3
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- green
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