Biology subjects

Ward, T. R.

Publications and source records attributed to Ward, T. R..

6 recordsLinked to original sources

bioRxiv2024

Biotin-Independent Saccharomyces cerevisiae with Enhanced Growth: Engineering an Acetyl-CoA Carboxylase Bypass

Throughout evolution, most Saccharomyces cerevisiae strains have lost their ability to synthesize biotin, an essential cofactor of several carboxylating enzymes. As a result, the essential vitamin or its precursors must be uptaken from the environment and frequently supplemented in fermentations to achieve high cell densities. Engineering of a biotin-independent S. cerevisiae strain is of interest to eliminate the need for the external biotin supply. Herein, we describe the construction of a biotin-independent yeast strain by engineering a bypass of acetyl-CoA carboxylase, an essential biotin-dependent enzyme in the synthesis of fatty acids. Besides complete rescue of growth in biotin-free media, the resulting S. cerevisiae strains showed significantly improved growth on malonate compared to biotin. Beyond their industrial relevance, the yeast strains reported here can be valuable in areas of fundamental research, e.g., for developing a new selection marker or increasing the versatility of biotin-streptavidin technologies in living systems.

synthetic biology↗

bioRxiv2024

Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning

Tailored enzymes hold great potential to accelerate the transition to a sustainable bioeconomy. Yet, enzyme engineering remains challenging as it relies largely on serendipity and is, therefore, highly laborious and prone to failure. The efficiency and success rates of engineering campaigns may be improved substantially by applying machine learning to construct a comprehensive representation of the sequence-activity landscape from small sets of experimental data. However, it often proves challenging to reliably model a large protein sequence space while keeping the experimental effort tractable. To address this challenge, we present an integrated pipeline combining large-scale screening with active machine learning and model-guided library design. We applied this strategy to efficiently engineer an artificial metalloenzyme (ArM) catalysing a new-to-nature hydroamination reaction. By combining lab automation and next-generation sequencing, we acquired sequence-activity data for several thousand ArM variants. We then used Gaussian process regression to model the activity landscape and guide further screening rounds according to user-defined objectives. Crucial characteristics of our enhanced enzyme engineering pipeline include i) the cost-effective generation of information-rich experimental data sets, ii) the integration of an explorative round to improve the performance of the model, as well as iii) the consideration of experimental noise during modelling. Our approach led to an order-of-magnitude boost in the hit rate of screening while making efficient use of experimental resources. Smart search strategies like this should find broad utility in enzyme engineering and accelerate the development of novel biocatalysts.

synthetic biology↗

bioRxiv2021

Single-Round Remodeling of the Active Site of an Artificial Metalloenzyme using an Ultrahigh-Throughput Double Emulsion Screening Assay

The potential of high-throughput compartmentalization renders droplet microfluidics an attractive tool for directed evolution of enzymes as it permits maintenance of the phenotype-genotype linkage throughout the entire optimization procedure. In particular, water-in-oil-in-water double emulsions droplets (DEs) produced by microfluidics enable the analysis of reaction compartments at ultra-high-throughput using commercially available fluorescence-activated cell sorting (FACS) devices. Here we report a streamlined method applicable for the ultrahigh-throughput screening of an artificial metalloenzyme (ArM), an artificial deallylase (ADAse), in double emulsions. The DE-protocol was validated by screening a four hundred member, double-mutant streptavidin library for the CpRu-catalyzed uncaging of aminocoumarin. The most active variants, identified by next generation sequencing of the sorted DE droplets with highest fluorescent intensity, are in good agreement with 96-well plate screening hits. These findings, thus, pave the way towards the systematic implementation of commercially available FACS for the directed evolution of metalloenzymes making ultrahigh-throughput screening more broadly accessible. The use of microfluidics for the formation of uniform compartments with precise control over reagents and cell encapsulation further facilitates the establishment of highly reliable quantitative assays.

biochemistry↗

bioRxiv2020

Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions

Artificial metalloenzymes (ArMs) catalyzing new-to-nature reactions under mild conditions could play an important role in the transition to a sustainable, circular economy. While ArMs have been created for a variety of bioorthogonal transformations, attempts at optimizing their performance by enzyme engineering have been case-specific and resulted only in modest improvements. To realize the full potential of ArMs, methods that enable the rapid discovery of highly active ArM variants for any reaction of interest are required. Here, we introduce a broadly applicable, automation-compatible ArM engineering platform, which relies on periplasmic compartmentalization in Escherichia coli to rapidly and reliably identify improved ArM variants based on the biotin-streptavidin technology. We systematically assess 400 ArM mutants for five bioorthogonal transformations involving different metal cofactors, reaction mechanisms and substrate-product pairs, including novel ArMs for gold-catalyzed hydroamination and hydroarylation. The achieved activity enhancements of up to fifteen-fold over wild type highlight the potential of the systematic approach to ArM engineering. We further capitalize on the sequence-activity data to suggest and validate smart strategies for future screening campaigns. This systematic, multi-reaction study has important implications for the development of highly active ArMs for novel applications in biocatalysis and synthetic biology.

synthetic biology↗

bioRxiv2020

Genome-wide molecular effects of the neuropsychiatric 16p11 CNVs in an iPSC-to-iN neuronal model

Copy number variants (CNVs), either deletions or duplications, at the 16p11.2 locus in the human genome are known to increase the risk for autism spectrum disorders (ASD), schizophrenia, and for several other developmental conditions. Here, we investigate the global effects on gene expression and DNA methylation using a 16p11.2 CNV patient-derived induced pluripotent stem cell (iPSC) to induced neuron (iN) cell model system. This approach revealed genome-wide and cell-type specific alterations to both gene expression and DNA methylation patterns and also yielded specific leads on genes potentially contributing to some of the known 16p11.2 patient phenotypes. PCSK9 is identified as a possible contributing factor to the symptoms seen in carriers of the 16p11.2 CNVs. The protocadherin (PCDH) gene family is found to have altered DNA methylation patterns in the CNV patient samples. The iPSC lines used for this study are available through a repository as a resource for research into the molecular etiology of the clinical phenotypes of 16p11.2 CNVs and into that of neuropsychiatric and neurodevelopmental disorders in general.

genetics↗

bioRxiv2018

Haplotype-phased Callithrix jacchus embryonic stem cell line for genome editing using CRISPR/Cas9

Due to anatomical and physiological similarities to humans, the common marmoset (Callithrix jacchus) is an ideal organism for the study human diseases. Researchers are currently leveraging genome-editing technologies such as CRISPR/Cas9 to genetically engineer marmosets for the in vivo biomedical modeling of human neuropsychiatric and neurodegenerative diseases. The genome characterization of these cell lines greatly reinforces these transgenic efforts. It also provides the genomic contexts required for the accurate interpretation of functional genomics data. We performed haplotype-resolved whole-genome characterization for marmoset ESC line cj367 from the Wisconsin National Primate Research Center. This is the first haplotype-resolved analysis of a marmoset genome and the first whole-genome characterization of any marmoset ESC line. We identified and phased single-nucleotide variants (SNVs) and Indels across the genome. By leveraging this haplotype information, we then compiled a list of cj367 ESC allele-specific CRISPR targeting sites. Furthermore, we demonstrated successful Cas9 Endonuclease Dead (dCas9) expression and targeted localization in cj367 as well as sustained pluripotency after dCas9 transfection by teratoma assay. Lastly, we show that these ESCs can be directly induced into functional neurons in a rapid, single-step process. Our study provides a valuable set of genomic resources for primate transgenics in this post-genome era.

genetics↗