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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2012
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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. |
format | Online Article Text |
id | pubmed-3374032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
record_format | MEDLINE/PubMed |
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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