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dc.contributor.authorNutiu, Razvan
dc.contributor.authorFriedman, Robin Carl
dc.contributor.authorLuo, Shujun
dc.contributor.authorKhrebtukova, Irina
dc.contributor.authorSilva, David
dc.contributor.authorLi, Robin
dc.contributor.authorZhang, Lu
dc.contributor.authorSchroth, Gary P.
dc.contributor.authorBurge, Christopher B.
dc.date.accessioned2012-09-07T15:19:12Z
dc.date.available2012-09-07T15:19:12Z
dc.date.issued2011-06
dc.date.submitted2011-01
dc.identifier.issn1087-0156
dc.identifier.issn1546-1696
dc.identifier.urihttp://hdl.handle.net/1721.1/72567
dc.description.abstractSeveral methods for characterizing DNA-protein interactions are available, but none have demonstrated both high throughput and quantitative measurement of affinity. Here we describe 'high-throughput sequencing'-'fluorescent ligand interaction profiling' (HiTS-FLIP), a technique for measuring quantitative protein-DNA binding affinity at unprecedented depth. In this approach, the optics built into a high-throughput sequencer are used to visualize in vitro binding of a protein to sequenced DNA in a flow cell. Application of HiTS-FLIP to the protein Gcn4 (Gcn4p), the master regulator of the yeast amino acid starvation response, yielded [approx]440 million binding measurements, enabling determination of dissociation constants for all 12-mer sequences having submicromolar affinity. These data revealed a complex interdependency between motif positions, allowed improved discrimination of in vivo Gcn4p binding sites and regulatory targets relative to previous methods and showed that sets of genes with different promoter affinities to Gcn4p have distinct functions and expression kinetics. Broad application of this approach should increase understanding of the interactions that drive transcription.en_US
dc.description.sponsorshipUnited States. Dept. of Energy (Office of Science, Computational Science Graduate Fellowship, Contract No. DE-FG02-97ER25308)en_US
dc.description.sponsorshipUnited States. Dept. of Energy (Human Frontiers Science Program long-term fellowship, Contract No. DE-FG02-97ER25308)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (equipment grant no. 0821391)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nbt.1882en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourcePMCen_US
dc.titleDirect visualization of DNA affinity landscapes using a highthroughput sequencing instrumenten_US
dc.title.alternativeDirect measurement of DNA affinity landscapes on a high-throughput sequencing instrumenten_US
dc.typeArticleen_US
dc.identifier.citationNutiu, Razvan et al. “Direct Measurement of DNA Affinity Landscapes on a High-throughput Sequencing Instrument.” Nature Biotechnology 29.7 (2011): 659–664. Web.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Programen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.approverBurge, Christopher B.
dc.contributor.mitauthorBurge, Christopher B.
dc.contributor.mitauthorFriedman, Robin Carl
dc.contributor.mitauthorNutiu, Razvan
dc.relation.journalNature Biotechnologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsNutiu, Razvan; Friedman, Robin C; Luo, Shujun; Khrebtukova, Irina; Silva, David; Li, Robin; Zhang, Lu; Schroth, Gary P; Burge, Christopher Ben
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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