ArticleMolecular systems biology2009
Environment-specific combinatorial cis-regulation in synthetic promoters.
Article in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- Generating information-dense promoter sequences with optimal string packing.PLoS computational biology · 2024Article
- In silico design of context-responsive mammalian promoters with user-defined functionality.Nucleic acids research · 2017Article
- Programming mRNA decay to modulate synthetic circuit resource allocation.Nature communications · 2017Article
- A Simple Grammar Defines Activating and Repressing cis-Regulatory Elements in Photoreceptors.Cell reports · 2016Article
- Interactions between pluripotency factors specify cis-regulation in embryonic stem cells.Genome research · 2016Article
- Combinatorial Cis-regulation in Saccharomyces Species.G3 (Bethesda, Md.) · 2016Article
- Prediction of fine-tuned promoter activity from DNA sequence.F1000Research · 2016Article
- Understanding how cis-regulatory function is encoded in DNA sequence using massively parallel reporter assays and designed sequences.Genomics · 2015Review
- Discrimination between thermodynamic models of cis-regulation using transcription factor occupancy data.Nucleic acids research · 2014Article
- A multi-scale model of hepcidin promoter regulation reveals factors controlling systemic iron homeostasis.PLoS computational biology · 2014Article
- Massively parallel synthetic promoter assays reveal the in vivo effects of binding site variants.Genome research · 2013Article
- Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach.Genome research · 2013Article
- Distinct properties of cell-type-specific and shared transcription factor binding sites.Molecular cell · 2013Article
- Mapping the fine structure of a eukaryotic promoter input-output function.Nature genetics · 2013Article
- Combinatorial control of gene expression.BioMed research international · 2013Review
- A model of spatially restricted transcription in opposing gradients of activators and repressors.Molecular systems biology · 2012Article
- Article
- Predicting promoter activities of primary human DNA sequences.Nucleic acids research · 2011Article
- Mathematical modeling of gene expression: a guide for the perplexed biologist.Critical reviews in biochemistry and molecular biology · 2011Review
- Quantitative models of the mechanisms that control genome-wide patterns of transcription factor binding during early Drosophila development.PLoS genetics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
When a cell's environment changes, a large transcriptional response often takes place. The exquisite sensitivity and specificity of these responses are controlled in large part by the combinations of cis-regulatory elements that reside in gene promoters and adjacent control regions. Here, we present a study aimed at accurately modeling the relationship between combinations of cis-regulatory elements and the expression levels they drive in different environments. We constructed four libraries of synthetic promoters in yeast, consisting of combinations of transcription factor binding sites and assayed their expression in four different environments. Thermodynamic models relating promoter sequences to their corresponding four expression levels explained at least 56% of the variation in expression in each library through the different conditions. Analyses of these models suggested that a large fraction of regulated gene expression is explained by changes in the effective concentration of sequence-specific transcription factors, and we show that in most cases, the corresponding transcription factors are expressed in a pattern that is predicted by the thermodynamic models. Our analysis uncovered two binding sites that switch from activators to repressors in different environmental conditions. In both the cases, the switch was not the result of a single transcription factor changing regulatory modes, but most likely due to competition between multiple factors binding to the same site. Our analysis suggests that this mode of regulation allows for large and steep changes in expression in response to changing transcription factor concentrations. Our results demonstrate that many complex changes in gene expression are accurately explained by simple changes in the effective concentrations of transcription factors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.