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Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters

Despite much research, our understanding of the rules by which cis-regulatory sequences are translated into expression levels is still lacking. We devised a method for obtaining parallel and highly accurate expression measurements of thousands of fully designed promoters, and applied it to measure t...

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Autores principales: Sharon, Eilon, Kalma, Yael, Sharp, Ayala, Raveh-Sadka, Tali, Levo, Michal, Zeevi, Danny, Keren, Leeat, Yakhini, Zohar, Weinberger, Adina, Segal, Eran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374032/
https://www.ncbi.nlm.nih.gov/pubmed/22609971
http://dx.doi.org/10.1038/nbt.2205
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author Sharon, Eilon
Kalma, Yael
Sharp, Ayala
Raveh-Sadka, Tali
Levo, Michal
Zeevi, Danny
Keren, Leeat
Yakhini, Zohar
Weinberger, Adina
Segal, Eran
author_facet Sharon, Eilon
Kalma, Yael
Sharp, Ayala
Raveh-Sadka, Tali
Levo, Michal
Zeevi, Danny
Keren, Leeat
Yakhini, Zohar
Weinberger, Adina
Segal, Eran
author_sort Sharon, Eilon
collection PubMed
description Despite much research, our understanding of the rules by which cis-regulatory sequences are translated into expression levels is still lacking. We devised a method for obtaining parallel and highly accurate expression measurements of thousands of fully designed promoters, and applied it to measure the effect of systematic changes to location, number, orientation, affinity and organization of transcription factor (TF) binding sites and of nucleosome disfavoring sequences. Our analyses reveal a clear relationship between expression and binding site number, and TF-specific dependencies of expression on the distance between sites and gene starts including a striking ~10bp periodic relationship. We also demonstrate the utility of our approach for measuring TF sequence specificities and sensitivity of TF sites to surrounding sequence context, and for profiling the activity of most yeast transcription factors. Our method is readily applicable for studying both the cis and trans effects of genotype on transcriptional, post-transcriptional, and translational control.
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spelling pubmed-33740322012-12-01 Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters Sharon, Eilon Kalma, Yael Sharp, Ayala Raveh-Sadka, Tali Levo, Michal Zeevi, Danny Keren, Leeat Yakhini, Zohar Weinberger, Adina Segal, Eran Nat Biotechnol Article Despite much research, our understanding of the rules by which cis-regulatory sequences are translated into expression levels is still lacking. We devised a method for obtaining parallel and highly accurate expression measurements of thousands of fully designed promoters, and applied it to measure the effect of systematic changes to location, number, orientation, affinity and organization of transcription factor (TF) binding sites and of nucleosome disfavoring sequences. Our analyses reveal a clear relationship between expression and binding site number, and TF-specific dependencies of expression on the distance between sites and gene starts including a striking ~10bp periodic relationship. We also demonstrate the utility of our approach for measuring TF sequence specificities and sensitivity of TF sites to surrounding sequence context, and for profiling the activity of most yeast transcription factors. Our method is readily applicable for studying both the cis and trans effects of genotype on transcriptional, post-transcriptional, and translational control. 2012-05-20 /pmc/articles/PMC3374032/ /pubmed/22609971 http://dx.doi.org/10.1038/nbt.2205 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Sharon, Eilon
Kalma, Yael
Sharp, Ayala
Raveh-Sadka, Tali
Levo, Michal
Zeevi, Danny
Keren, Leeat
Yakhini, Zohar
Weinberger, Adina
Segal, Eran
Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
title Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
title_full Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
title_fullStr Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
title_full_unstemmed Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
title_short Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
title_sort inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374032/
https://www.ncbi.nlm.nih.gov/pubmed/22609971
http://dx.doi.org/10.1038/nbt.2205
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