Biology subjects

Baumer, Z. T.

Publications and source records attributed to Baumer, Z. T..

7 recordsLinked to original sources

bioRxiv2025

Design of post-translational, ligand-controlled inverters and switches

Rational control over diverse, ligand-responsive output networks is a foundational challenge in synthetic biology, particularly for systems based on post-translational signaling. Here, we present the design and engineering of minimal, modular protein architectures for chemically responsive molecular inverters and digital switches. Our inverter design modifies the plant-derived PYR1-HAB1 chemically inducible dimerization module by incorporating a constitutive activator, which is then competitively displaced by the ligand-bound PYR1 receptor, converting the native dimerization-on mechanism into a signal-off inverter. We establish key design features and demonstrate predictable tuning of the inverters transfer function, including its maximum output, half-maximal inhibitory concentration, and minimum output, solely by adjusting protein stoichiometry. The architecture is modular, enabling plug-and-play response to diverse, user-defined drug-like small molecules. We show that an inverter biosensor for an environmental contaminant functions in engineered living cells with a low nanomolar sensitivity. Additionally, we convert the PYR1-HAB1 sensor into a digital switch by adding an engineered molecular titrant to the system. Overall, this work provides a generalizable, minimal, and tunable protein scaffold for programming complex, post-translational signaling logic, significantly expanding the toolkit for sophisticated biological circuit design.

synthetic biology↗

bioRxiv2025

Computational redesign of a thermostable T7 RNA polymerase

T7 RNA polymerase (T7 RNAP) is a foundational enzyme for biotechnology, but its utility for many potential applications is limited by low thermal stability of 43-44{degrees}C. While stabilized variants exist, the most stable commercial version has a proprietary sequence. In this work we developed a highly stable T7 RNAP using structure-based computational design. We combined mutations from previous stabilized variants (M5, M8, V7abcd) with new mutations identified by PROSS. These mutations were filtered using data-driven heuristics to preserve function. Our final design, T7T+, contains 30 point mutations from the original T7 RNAP and demonstrates a functional stability (T50) of 54.9{degrees}C in a thermal challenge assay, which is 2.4{degrees}C higher than the most stable, published open-source variant to date. Circular dichroism spectroscopy showed an apparent melting temperature of 53.8{degrees}C. T7T+ retains 59% of wild-type activity at 37{degrees}C. 16 of the 18 tested protein designs had higher stability against thermal challenge compared with the genetic background, attesting to the high success rates of existing non deep learning computational methods for the design of stable, functional proteins. A plasmid encoding T7T+ has been deposited in AddGene and is freely available for non-commercial use.

biochemistry↗

bioRxiv2025

Computational design of dynamic biosensors for emerging synthetic opioids

Nitazenes are an emergent class of synthetic opioids that rival or exceed fentanyl in their potency. These compounds have been detected internationally in illicit drugs and are the cause of increasing numbers of hospitalizations and overdoses. New analogs are consistently released, making detection challenging - new ways of testing a wide range of nitazenes and their metabolic products are urgently needed. Here, we developed a computational protocol to redesign the plant abscisic acid receptor PYR1 to bind diverse nitazenes and maintain its dynamic transduction mechanism. The best design has a low nanomolar limit of detection in vitro against nitazene and menitazene. Deep mutational scanning yielded sensors able to recognize a range of clinically relevant nitazenes and the common metabolic byproduct in complex biological matrices with limited cross-specificity against unrelated opioids. Application of protein design tools on privileged receptors like PYR1 may yield general sensors for a wide range of applications in vitro and in vivo.

biochemistry↗

bioRxiv2024

in vitro analysis of a competitive inhibition model for T7 RNA polymerase biosensors

T7 RNA polymerase (T7 RNAP) biosensors, in which T7 RNAP transcribes some reporter gene or signal in response to external stimuli, have wide applications in synthetic biology and metabolic engineering. We adapted a biochemical reaction network model and used an in vitro transcription assay to determine network parameters for different T7 RNAP constructs. Under conditions where template DNA is limiting, the EC50 values of native and engineered T7 RNAPs ranged from 33 nM (29 -37 95% c.i.) to 570 nM (258 -714 95% c.i.) (wild-type T7 RNAP). The measured EC50 values were largely insensitive to free magnesium, pH, or other buffer conditions. Many biosensor configurations use a split RNAP construct, where the C-terminal (CT7) and N-terminal T7 (NT7) are fused to proximity induced dimerization modules. We used proteolysis and ion exchange chromatography to prepare a CT7 (80 kDa) product. The impact of free CT7 on T7 RNAP transcriptional activity was well described by a competitive inhibition model, with an inhibitory constant KI = 24 nM (22-26 95% c.i.) of the sensor. These model parameters will be useful for forward modeling and design of T7 RNAP-based genetic circuits. HighlightsO_LIEC50 values for natural and engineered T7 RNAPs measured in vitro C_LIO_LIC-terminal T7 RNAP is a competitive inhibitor of full-length T7 RNAP C_LIO_LIThe inhibition constant of C-terminal T7 RNAP is lower than the EC50 of T7 RNAP C_LI

bioengineering↗

bioRxiv2024

Dynamic regulation of engineered T7 RNA polymerases by endogenous metabolites

For many enzymes, activity is regulated post-translationally by endogenous metabolites. Designing liganded control of essential activities like transcription would advance predictive control of biological processes, a fundamental goal of synthetic biology. Here we demonstrate that full-length, single subunit T7-derived RNA polymerases (T7 RNAP) can be controlled by physiologically relevant concentrations of indoles. We used rational design and directed evolution to identify T7 RNAP variants with minimal transcriptional activity in the absence of indole, and a 29-fold increase in activity with an EC50 of 344 {micro}M. Indoles control T7-dependent gene expression exogenously, endogenously, and inter-cellularly. We also demonstrate indole-dependent bacteriophage viability and propagation in trans. Specificity of different indoles, T7 promoter specificities, and portability to different bacteria are shown. Our ligand activated RNA polymerases (LARPs) represent a new chemically inducible platform immediately deployable for novel synthetic biology applications, including for modulation of synthetic co-cultures.

bioengineering↗

bioRxiv2024

An integrated technology for quantitative wide mutational scanning of human antibody Fab libraries

Antibodies are engineerable quantities in medicine. Learning antibody molecular recognition would enable the in silico design of high affinity binders against nearly any proteinaceous surface. Yet, publicly available experiment antibody sequence-binding datasets may not contain the mutagenic, antigenic, or antibody sequence diversity necessary for deep learning approaches to capture molecular recognition. In part, this is because limited experimental platforms exist for assessing quantitative and simultaneous sequence-function relationships for multiple antibodies. Here we present MAGMA-seq, an integrated technology that combines multiple antigens and multiple antibodies and determines quantitative biophysical parameters using deep sequencing. We demonstrate MAGMA-seq on two pooled libraries comprising mutants of ten different human antibodies spanning light chain gene usage, CDR H3 length, and antigenic targets. We demonstrate the comprehensive mapping of potential antibody development pathways, sequence-binding relationships for multiple antibodies simultaneously, and identification of paratope sequence determinants for binding recognition for broadly neutralizing antibodies (bnAbs). MAGMA-seq enables rapid and scalable antibody engineering of multiple lead candidates because it can measure binding for mutants of many given parental antibodies in a single experiment.

biochemistry↗

bioRxiv2023

Benchmarking cassette-based deep mutagenesis by Golden Gate assembly

Protocols for the construction of large, deeply mutagenized protein encoding libraries via Golden Gate assembly of synthetic DNA cassettes employ disparate, system specific methodology. Here we benchmark a broadly applicable Golden Gate method for building user-defined libraries. We demonstrate that a 25 l reaction, using 40 fmol of input DNA, can generate a library on the order of 1x106 members and that reaction volume or input DNA concentration can be scaled up with no losses in transformation efficiency. Such libraries can be constructed from dsDNA cassettes generated either by degenerate oligonucleotides or oligo pools. We demonstrate its real-world effectiveness by building custom, user-defined libraries on the order of 104 to 107 unique protein encoding variants for two orthogonal protein engineering systems. We include a detailed protocol and provide several general-use destination vectors.

bioengineering↗