A synthetic library of RNA control modules for predictable tuning of gene expression in yeast

Advances in synthetic biology have resulted in the development of genetic tools that support the design of complex biological systems encoding desired functions. The majority of efforts have focused on the development of regulatory tools in bacteria, whereas fewer tools exist for the tuning of expression levels in eukaryotic organisms. Here, we describe a novel class of RNA-based control modules that provide predictable tuning of expression levels in the yeast Saccharomyces cerevisiae. A library of synthetic control modules that act through posttranscriptional RNase cleavage mechanisms was generated through an in vivo screen, in which structural engineering methods were applied to enhance the insulation and modularity of the resulting components. This new class of control elements can be combined with any promoter to support titration of regulatory strategies encoded in transcriptional regulators and thus more sophisticated control schemes. We applied these synthetic controllers to the systematic titration of flux through the ergosterol biosynthesis pathway, providing insight into endogenous control strategies and highlighting the utility of this control module library for manipulating and probing biological systems

Engineering ligand-responsive RNA controllers in yeast through the assembly of RNase III tuning modules

The programming of cellular networks to achieve new biological functions depends on the development of genetic tools that link the presence of a molecular signal to gene-regulatory activity. Recently, a set of engineered RNA controllers was described that enabled predictable tuning of gene expression in the yeast Saccharomyces cerevisiae through directed cleavage of transcripts by an RNase III enzyme, Rnt1p. Here, we describe a strategy for building a new class of RNA sensing-actuation devices based on direct integration of RNA aptamers into a region of the Rnt1p hairpin that modulates Rnt1p cleavage rates. We demonstrate that ligand binding to the integrated aptamer domain is associated with a structural change sufficient to inhibit Rnt1p processing. Three tuning strategies based on the incorporation of different functional modules into the Rnt1p switch platform were demonstrated to optimize switch dynamics and ligand responsiveness. We further demonstrated that these tuning modules can be implemented combinatorially in a predictable manner to further improve the regulatory response properties of the switch. The modularity and tunability of the Rnt1p switch platform will allow for rapid optimization and tailoring of this gene control device, thus providing a useful tool for the design of complex genetic networks in yeast

Synthetic RNA modules for fine-tuning gene expression levels in yeast by modulating RNase III activity

The design of synthetic gene networks requires an extensive genetic toolbox to control the activities and levels of protein components to achieve desired cellular functions. Recently, a novel class of RNA-based control modules, which act through post-transcriptional processing of transcripts by directed RNase III (Rnt1p) cleavage, were shown to provide predictable control over gene expression and unique properties for manipulating biological networks. Here, we increase the regulatory range of the Rnt1p control elements, by modifying a critical region for enzyme binding to its hairpin substrates, the binding stability box (BSB). We used a high throughput, cell-based selection strategy to screen a BSB library for sequences that exhibit low fluorescence and thus high Rnt1p processing efficiencies. Sixteen unique BSBs were identified that cover a range of protein expression levels, due to the ability of the sequences to affect the hairpin cleavage rate and to form active cleavable complexes with Rnt1p. We further demonstrated that the activity of synthetic Rnt1p hairpins can be rationally programmed by combining the synthetic BSBs with a set of sequences located within a different region of the hairpin that directly modulate cleavage rates, providing a modular assembly strategy for this class of RNA-based control elements

Identification of non‐reported bupropion metabolites in human plasma

Bupropion and its three active metabolites exhibit clinical efficacy in the treatment of major depression, seasonal depression and smoking cessation. The pharmacokinetics of bupropion in humans is highly variable. It is not known if there are any non‐reported metabolites formed in humans in addition to the three known active metabolites. This paper reports newly identified and non‐reported metabolites of bupropion in human plasma samples. Human subjects were dosed with a single oral dose of 75 mg of an immediate release bupropion HCl tablet. Plasma samples were collected and analysed by LC–MS/MS at 0, 6 and 24 h. Two non‐reported metabolites (M1 and M3) were identified with mass‐to‐charge (m/z) ratios of 276 (M1, hydration of bupropion) and 258 (M3, hydroxylation of threo/erythrohydrobupropion) from human plasma in addition to the known hydroxybupropion, threo/erythrohydrobupropion and the glucuronidation products of the major metabolites (M2 and M4–M7). These new metabolites may provide new insight and broaden the understanding of bupropion’s variability in clinical pharmacokinetics. © 2016 The Authors Biopharmaceutics & Drug Disposition Published by John Wiley & Sons Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134787/1/bdd2046_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134787/2/bdd2046.pd

SYNZIP Protein Interaction Toolbox: in Vitro and in Vivo Specifications of Heterospecific Coiled-Coil Interaction Domains

The synthetic biology toolkit contains a growing number of parts for regulating transcription and translation, but very few that can be used to control protein association. Here we report characterization of 22 previously published heterospecific synthetic coiled-coil peptides called SYNZIPs. We present biophysical analysis of the oligomerization states, helix orientations, and affinities of 27 SYNZIP pairs. SYNZIP pairs were also tested for interaction in two cell-based assays. In a yeast two-hybrid screen, >85% of 253 comparable interactions were consistent with prior in vitro measurements made using coiled-coil microarrays. In a yeast-signaling assay controlled by coiled-coil mediated scaffolding, 12 SYNZIP pairs were successfully used to down-regulate the expression of a reporter gene following treatment with α-factor. Characterization of these interaction modules dramatically increases the number of available protein interaction parts for synthetic biology and should facilitate a wide range of molecular engineering applications. Summary characteristics of 27 SYNZIP peptide pairs are reported in specification sheets available in the Supporting Information and at the SYNZIP Web site [http://keatingweb.mit.edu/SYNZIP/].National Science Foundation (U.S.) (NSF award MCB 0950233)National Institutes of Health (U.S.) (grant RO1 GM55040)National Institutes of Health (U.S.) (grant PN2 EY016546)National Institutes of Health (U.S.) (grant P50 GMO81879)National Science Foundation (U.S.). Synthetic Biology Engineering Research CenterHoward Hughes Medical Institut

Development of RNA-Based Genetic Control Elements for Predictable Tuning of Protein Expression in Yeast

The proper functioning of many biological processes and synthetic genetic networks depends on the precise tuning of expression levels of key protein components. With growing interests in eukaryotic hosts and the increasing complexity of networks in synthetic biology, there is a need for the expansion of the genetic toolbox, particularly for the bioprocessing and biosynthesis applications in the yeast Saccharomyces cerevisiae. The available control elements in yeast generally focus on the regulation of transcription through alternative promoter systems. Synthetic RNA-based control elements placed in the untranslated regions (UTRs) of transcripts have the ability to regulate the posttranscriptional mechanisms of translation initiation and transcript stability. Such posttranscriptional elements have the added advantage of being coupled to any promoter for enhanced control strategies. Two types of posttranscriptional elements were examined in this thesis. The first type is a class of RNA hairpins baring AGNN tetraloops that are cleaved by the S. cerevisiae RNase III enzyme Rnt1p. By locating these hairpins in the 3’ UTR of a transcript, the endonucleolytic cleavage due to Rnt1p activity resulted in the rapid degradation of the transcript. We developed two libraries of RNA hairpins based on the randomization of critical regions in Rnt1p substrates that affect the enzyme’s ability to associate and/or cleave the hairpin. The modulation of the strength of binding and cleavage by Rnt1p resulted in changes in the steady-state transcript levels and thus protein levels. Through integration of an aptamer into the stem of an Rnt1p hairpin, we were able to develop a riboswitch based upon the direction inhibition of Rnt1p cleavage through association of the ligand in the sites of cleavage. The second type of posttranscriptional elements examined is the placement of internal ribosome entry sites (IRESes) in the 5’ UTR that initiate translation independent of the 5’ cap through direct interaction with the ribosomal machinery. We propose that the activity of small sequential IRESes can be tuned through varying the complementarity with the 18S ribosomal RNA (rRNA) to advance the creation of yeast multicistronic vectors. The application of Rnt1p hairpins and IRESes provide a key tool in synthetic biology for the construction of complex genetic networks in yeast where the predictable tuning of gene expression is necessitated.</p