The yeast Yarrowia lipolytica has been widely studied for its ability to synthesize and accumulate intracellular lipids to high levels. Recent studies have identified native genes that enable growth on biomass-derived sugars, but these genes are not sufficiently expressed to facilitate robust metabolism. In this work, a CRISPR-dCas9 activation (CRISPRa) system in Y. lipolytica is developed and is used it to activate native β-glucosidase expression to support growth on cellobiose. A series of different transcriptional activators are compared for their effectiveness in Y. lipolytica, with the synthetic tripartite activator VPR yielding the highest activation. A VPR-dCas9 fusion is then targeted to various locations in a synthetic promoter driving hrGFP expression, and activation is achieved. Subsequently, the CRISPRa system is used to activate transcription of two different native β-glucosidase genes, facilitating enhanced growth on cellobiose as the sole carbon source. This work expands the synthetic biology toolbox for metabolic engineering in Y. lipolytica and demonstrates how the programmability of the CRISPR-Cas9 system can enable facile investigation of transcriptionally silent regions of the genome.

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Recent studies have demonstrated that effective protein production requires coordination of multiple cotranslational cellular processes, which are heavily affected by translation timing. Until recently, protein engineering has focused on codon optimization to maximize protein production rates, mostly considering the effect of tRNA abundance. However, as it relates to complex multidomain proteins, it has been hypothesized that strategic translational pauses between domains and between distinct individual structural motifs can prevent interactions between nascent chain fragments that generate kinetically trapped misfolded peptides and thereby enhance protein yields. In this study, we introduce synthetic transient pauses between structural domains in a heterologous model protein based on designed patterns of affinity between the mRNA and the anti-Shine-Dalgarno (aSD) sequence on the ribosome. We demonstrate that optimizing translation attenuation at domain boundaries can predictably affect solubility patterns in bacteria. Exploration of the affinity space showed that modifying less than 1% of the nucleotides (on a small 12 amino acid linker) can vary soluble protein yields up to ∼7-fold without altering the primary sequence of the protein. In the context of longer linkers, where a larger number of distinct structural motifs can fold outside the ribosome, optimal synonymous codon variations resulted in an additional 2.1-fold increase in solubility, relative to that of nonoptimized linkers of the same length. While rational construction of 54 linkers of various affinities showed a significant correlation between protein solubility and predicted affinity, only weaker correlations were observed between tRNA abundance and protein solubility. We also demonstrate that naturally occurring high-affinity clusters are present between structural domains of β-galactosidase, one of Escherichia coli's largest native proteins. Interdomain ribosomal affinity is an important factor that has not previously been explored in the context of protein engineering.

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Recent advancements in paired B cell receptor (BCR) sequencing technologies have accelerated the development of simpler, higher-throughput pipelines for generating native antibody heavy and light chain pairs used to elucidate novel antibodies and provide insights into antibody response against pathogenic targets. These technologies involve single-cell isolation, using either single wells or emulsified droplets to maintain physical separation of individual cells, followed by sequencing. The development of novel single well and emulsion-based workflows address key challenges by improving throughput of single-cell analyses, reducing method complexity, and integrating functional assays into existing workflows. Enabled by paired BCR sequencing, functional characterization of pathogen-specific antibodies reveals immunological insights beyond bulk sequencing.