Author Contributions RAL, AHN, and SEB contributed equally to this publication. RAL, SEB, ZC, WRPN, and DB conceived of the idea and initial steps for designing protein switches from de novo designed helical bundles. RAL and DB developed the thermodynamic model and the code upon which it works. RAL, SEB, and WRPN designed and biophysically characterized LOCKR scaffolds and BimLOCKR. RAL performed mutagenesis and Bio-layer interferometry experiments. SB characterized Bim interactions to Bcl2 homologs and aided experimental design. RAL performed design calculations for orthogonal LOCKR designs using code from SEB and VKM. AHN and RAL conceived of caging cODC. RAL performed design calculations to cage cODC and tune degronLOCKR. AHN conceived of and contributed to all experiments with degronLOCKR. THN performed dynamic measurement of degronLOCKR. AMW tested degronLOCKR in HEK293T cells. MJL, SEB, and RAL performed design calculations for asymmetric LOCKR. GD performed experiments with degronLOCKR and dCas9. GD contributed to plasmid and strain construction. RAL, SEB, and MJL conceived of caging sequences to control subcellular location and RAL performed design calculations for nesLOCKR. JAS and AHN performed all experiments for nesLOCKR. RAL, SEB, AHN, HE-S, and DB wrote the manuscript, all authors edited and approved.

Highlights d Compositional context affects gene-induction response in synthetic gene networks d Supercoiling models can explain the experimental effects of compositional context d Relaxing positive supercoiling with gyrase reduces compositional context effects d We use compositional context effects to design and build an improved toggle switch

The CRISPR-Cas9 system provides the ability to edit, repress, activate, or mark any gene (or DNA element) by pairing of a programmable single guide RNA (sgRNA) with a complementary sequence on the DNA target. Here we present a new method for small-molecule control of CRISPR-Cas9 function through insertion of RNA aptamers into the sgRNA. We show that CRISPR-Cas9-based gene repression (CRISPRi) can be either activated or deactivated in a dose-dependent fashion over a >10-fold dynamic range in response to two different small-molecule ligands. Since our system acts directly on each target-specific sgRNA, it enables new applications that require differential and opposing temporal control of multiple genes.

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Cyanobacteria are photosynthetic cell factories that use solar energy to convert CO 2 into useful products. Despite this attractive feature, the development of tools for engineering cyanobacterial chassis has lagged behind that for heterotrophs such as Escherichia coli or Saccharomyces cerevisiae. Heterologous genes in cyanobacteria are often integrated at presumptively "neutral" chromosomal sites, with unknown effects. We used transcriptome sequencing (RNA-seq) data for the model cyanobacterium Synechocystis sp. strain PCC 6803 to identify neutral sites from which no transcripts are expressed. We characterized the two largest such sites on the chromosome, a site on an endogenous plasmid, and a shuttle vector by integrating an enhanced yellow fluorescent protein (EYFP) expression cassette expressed from either the P cpc560 or the P trc1O promoter into each locus. Expression from the endogenous plasmid was as much as 14-fold higher than that from the chromosome, with intermediate expression from the shuttle vector. The expression characteristics of each locus correlated predictably with the promoters used. These findings provide novel, characterized tools for synthetic biology and metabolic engineering in cyanobacteria.C yanobacteria are oxygenic photosynthetic prokaryotes that use solar energy to fix CO 2 , converting it into biomass and valuable products. Since these organisms do not require fixed carbon feedstocks, they have great potential for synthetic biology and metabolic engineering applications (1-4). Several strains of cyanobacteria have been engineered to act as microbial cellular factories for the production of fuels and chemicals, such as isobutanol, 2,3-butanediol, free fatty acids, and D-lactate (5-7). Despite these advances, none of these engineered strains has been able to achieve industrially relevant levels of productivity. A lack of effective and well-characterized tools for synthetic biology in cyanobacteria has limited progress relative to that with other established microbial chassis, such as Escherichia coli or Saccharomyces cerevisiae (1). Synechocystis sp. strain PCC 6803 is a naturally transformable cyanobacterial chassis for synthetic biology. This strain carries several endogenous plasmids in addition to its single chromosome (8-11). Since there are a limited number of self-replicating exogenous plasmids for the expression of heterologous genes in Synechocystis PCC 6803 (12) and other cyanobacteria, these endogenous plasmids may prove to be attractive parts for synthetic biology (13). Additionally, these plasmids increase their copy numbers during the transition from the exponential-growth phase to the stationary phase (14). Thus, we have hypothesized that the expression of heterologous genes from sites in these plasmids could be autoinduced by such a growth transition. This induction could be advantageous in a production system that first yields a dense culture of light-harvesting cyanobacteria and later uses those microbial cell factories to churn out a product of interest.One strat...

Highlights d Integral control allows perfect adaptation but can be slow or even unstable d Molecular proportional and derivative control modules improve adaptation performance d Control modules can be composed in a modular fashion to achieve design specifications

The ability to rapidly assemble and prototype cellular circuits is vital for biological research and its applications in biotechnology and medicine. Current methods that permit the assembly of DNA circuits in mammalian cells are laborious, slow, expensive and mostly not permissive of rapid prototyping of constructs. Here we present the Mammalian ToolKit (MTK), a Golden Gate-based cloning toolkit for fast, reproducible and versatile assembly of large DNA vectors and their implementation in mammalian models. The MTK consists of a curated library of characterized, modular parts that can be easily mixed and matched to combinatorially assemble one transcriptional unit with different characteristics, or a hierarchy of transcriptional units weaved into complex circuits. MTK renders many cell engineering operations facile, as showcased by our ability to use the toolkit to generate single-integration landing pads, to create and deliver libraries of protein variants and sgRNAs, and to iterate through Cas9-based prototype circuits. As a biological proof of concept, we used the MTK to successfully design and rapidly construct in mammalian cells a challenging multicistronic circuit encoding the Ebola virus (EBOV) replication complex. This construct provides a non-infectious biosafety level 2 (BSL2) cellular assay for exploring the transcription and replication steps of the EBOV viral life cycle in its host. Its construction also demonstrates how the MTK can enable important and time sensitive applications such as the rapid testing of pharmacological inhibitors of emerging BSL4 viruses that pose a major threat to human health..

The ability of cells to regulate their function through feedback control is a fundamental underpinning of life. The capability to engineer de novo feedback control with biological molecules is ushering in an era of robust functionality for many applications in biotechnology and medicine. To fulfill their potential, feedback control strategies implemented with biological molecules need to be generalizable, modular and operationally predictable. Proportional-Integral-Derivative (PID) control fulfills this role for technological systems and is a commonly used strategy in engineering. Integral feedback control allows a system to return to an invariant steady-state value after step disturbances, hence enabling its robust operation. Proportional and derivative feedback control used with integral control help sculpt the dynamics of the return to steady-state following perturbation. Recently, a biomolecular implementation of integral control was proposed based on an antithetic motif in which two molecules interact stoichiometrically to annihilate each other's function. In this work, we report how proportional and derivative implementations can be layered on top of this integral architecture to achieve a biochemical PID control design. We illustrate through computational and analytical treatments that the addition of proportional and derivative control improves performance, and discuss practical biomolecular implementations of these control strategies.