The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
De novo identification and biophysical characterization of transcription-factor binding sites with microfluidic affinity analysis
Open accessAbstract
Gene expression is regulated in part by protein transcription factors that bind target regulatory DNA sequences. Predicting DNA binding sites and affinities from transcription factor sequence or structure is difficult; therefore, experimental data are required to link transcription factors to target sequences. We present a microfluidics-based approach for de novo discovery and quantitative biophysical characterization of DNA target sequences. We validated our technique by measuring sequence preferences for 28 Saccharomyces cerevisiae transcription factors with a variety of DNA-binding domains, including several that have proven difficult to study by other techniques. For each transcription factor, we measured relative binding affinities to oligonucleotides covering all possible 8-bp DNA sequences to create a comprehensive map of sequence preferences; for four transcription factors, we also determined absolute affinities. We expect that these data and future use of this technique will provide information essential for understanding transcription factor specificity, improving identification of regulatory sites and reconstructing regulatory interactions.
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Cites
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
A 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
Self-citationA quantitative model of transcription factor–activated gene expression
Kim, H. D., & O'Shea, E. K. (2008) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1500 · Cited by 142
Cited by
Absence of a simple code: how transcription factors read the genome
Slattery, M., Zhou, T., Yang, L., Dantas Machado, A. C., Gordân, R., & Rohs, R. (2014) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2014.07.002 · Cited by 537
Evaluation of methods for modeling transcription factor sequence specificity
DREAM5 Consortium, Weirauch, M. T., Cote, A., Norel, R., Annala, M., Zhao, Y., Riley, T. R., Saez-Rodriguez, J., Cokelaer, T., Vedenko, A., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2486 · Cited by 381
Microfluidics: reframing biological enquiry
Duncombe, T. A., Tentori, A. M., & Herr, A. E. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm4041 · Cited by 345
Determining the specificity of protein–DNA interactions
Stormo, G. D., & Zhao, Y. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2845 · Cited by 311
Micro Total Analysis Systems for Cell Biology and Biochemical Assays
Kovarik, M. L., Gach, P. C., Ornoff, D. M., Wang, Y., Balowski, J., Farrag, L., & Allbritton, N. L. (2012) · Analytical Chemistry · doi:10.1021/ac202611x · Cited by 270
Metadata
- Authors
- Fordyce, P. M., Gerber, D., Tran, D., Zheng, J., Li, H., DeRisi, J. L., & Quake, S. R.
- Venue
- Nature Biotechnology
- Published
- 2010-08-29
- Volume
- 28
- Issue
- 9
- Pages
- 970-975
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2062237921
- Cited by
- 184
- References
- 3
- FWCI
- 9.65
- Type
- journal article
- Language
- en
- Open access
- green
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