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SELMAP - SELEX affinity landscape MAPping of transcription factor binding sites using integrated microfluidics

Identifieur interne : 001028 ( Main/Exploration ); précédent : 001027; suivant : 001029

SELMAP - SELEX affinity landscape MAPping of transcription factor binding sites using integrated microfluidics

Auteurs : Dana Chen [Israël] ; Yaron Orenstein [Israël] ; Rada Golodnitsky [Israël] ; Michal Pellach [Israël] ; Dorit Avrahami [Israël] ; Chaim Wachtel [Israël] ; Avital Ovadia-Shochat [Israël] ; Hila Shir-Shapira [Israël] ; Adi Kedmi [Israël] ; Tamar Juven-Gershon [Israël] ; Ron Shamir [Israël] ; Doron Gerber [Israël]

Source :

RBID : PMC:5024299

Descripteurs français

English descriptors

Abstract

Transcription factors (TFs) alter gene expression in response to changes in the environment through sequence-specific interactions with the DNA. These interactions are best portrayed as a landscape of TF binding affinities. Current methods to study sequence-specific binding preferences suffer from limited dynamic range, sequence bias, lack of specificity and limited throughput. We have developed a microfluidic-based device for SELEX Affinity Landscape MAPping (SELMAP) of TF binding, which allows high-throughput measurement of 16 proteins in parallel. We used it to measure the relative affinities of Pho4, AtERF2 and Btd full-length proteins to millions of different DNA binding sites, and detected both high and low-affinity interactions in equilibrium conditions, generating a comprehensive landscape of the relative TF affinities to all possible DNA 6-mers, and even DNA10-mers with increased sequencing depth. Low quantities of both the TFs and DNA oligomers were sufficient for obtaining high-quality results, significantly reducing experimental costs. SELMAP allows in-depth screening of hundreds of TFs, and provides a means for better understanding of the regulatory processes that govern gene expression.


Url:
DOI: 10.1038/srep33351
PubMed: 27628341
PubMed Central: 5024299


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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, Ramat-Gan, 5290002,
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, Ramat-Gan, 5290002,
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</nlm:aff>
<country xml:lang="fr">Israël</country>
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<term>Base Sequence</term>
<term>Binding Sites</term>
<term>Gene Library</term>
<term>Microarray Analysis</term>
<term>Microfluidics (methods)</term>
<term>Nucleotide Motifs (genetics)</term>
<term>Protein Binding</term>
<term>Reproducibility of Results</term>
<term>SELEX Aptamer Technique (methods)</term>
<term>Sample Size</term>
<term>Transcription Factors (metabolism)</term>
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<keywords scheme="KwdFr" xml:lang="fr">
<term>Analyse sur microréseau</term>
<term>Banque de gènes</term>
<term>Facteurs de transcription (métabolisme)</term>
<term>Liaison aux protéines</term>
<term>Microfluidique ()</term>
<term>Motifs nucléotidiques (génétique)</term>
<term>Reproductibilité des résultats</term>
<term>Sites de fixation</term>
<term>Séquence nucléotidique</term>
<term>Taille d'échantillon</term>
<term>Technique SELEX ()</term>
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<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en">
<term>Transcription Factors</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Nucleotide Motifs</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr">
<term>Motifs nucléotidiques</term>
</keywords>
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<term>Microfluidics</term>
<term>SELEX Aptamer Technique</term>
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<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr">
<term>Facteurs de transcription</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Base Sequence</term>
<term>Binding Sites</term>
<term>Gene Library</term>
<term>Microarray Analysis</term>
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<term>Reproducibility of Results</term>
<term>Sample Size</term>
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<term>Analyse sur microréseau</term>
<term>Banque de gènes</term>
<term>Liaison aux protéines</term>
<term>Microfluidique</term>
<term>Reproductibilité des résultats</term>
<term>Sites de fixation</term>
<term>Séquence nucléotidique</term>
<term>Taille d'échantillon</term>
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<p>Transcription factors (TFs) alter gene expression in response to changes in the environment through sequence-specific interactions with the DNA. These interactions are best portrayed as a landscape of TF binding affinities. Current methods to study sequence-specific binding preferences suffer from limited dynamic range, sequence bias, lack of specificity and limited throughput. We have developed a microfluidic-based device for SELEX Affinity Landscape MAPping (SELMAP) of TF binding, which allows high-throughput measurement of 16 proteins in parallel. We used it to measure the relative affinities of Pho4, AtERF2 and Btd full-length proteins to millions of different DNA binding sites, and detected both high and low-affinity interactions in equilibrium conditions, generating a comprehensive landscape of the relative TF affinities to all possible DNA 6-mers, and even DNA10-mers with increased sequencing depth. Low quantities of both the TFs and DNA oligomers were sufficient for obtaining high-quality results, significantly reducing experimental costs. SELMAP allows in-depth screening of hundreds of TFs, and provides a means for better understanding of the regulatory processes that govern gene expression.</p>
</div>
</front>
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