Biology subjects

Fischer, C. R.

Publications and source records attributed to Fischer, C. R..

7 recordsLinked to original sources

bioRxiv2021

A metabolomics pipeline enables mechanistic interrogation of the gut microbiome

Gut microbes modulate host phenotypes and are associated with numerous health effects in humans, ranging from cancer immunotherapy response to metabolic disease and obesity. However, difficulty in accurate and high-throughput functional analysis of human gut microbes has hindered defining mechanistic connections between individual microbial strains and host phenotypes. One key way the gut microbiome influences host physiology is through the production of small molecules1-3, yet progress in elucidating this chemical interplay has been hindered by limited tools calibrated to detect products of anaerobic biochemistry in the gut. Here we construct a microbiome-focused, integrated mass-spectrometry pipeline to accelerate the identification of microbiota-dependent metabolites (MDMs) in diverse sample types. We report the metabolic profiles of 178 gut microbe strains using our library of 833 metabolites. Leveraging this metabolomics resource we establish deviations in the relationships between phylogeny and metabolism, use machine learning to discover novel metabolism in Bacteroides, and employ comparative genomics-based discovery of candidate biochemical pathways. MDMs can be detected in diverse biofluids in gnotobiotic and conventional mice and traced back to corresponding metabolomic profiles of cultured bacteria. Collectively, our microbiome-focused metabolomics pipeline and interactive metabolomics profile explorer are a powerful tool for characterizing microbe and microbe-host interactions.

microbiology↗

bioRxiv2020

Identification of polyketide biosynthetic gene clusters that harbor self-resistance target genes

BackgroundPolyketide secondary metabolites have been a rich source of antibiotic discovery for decades. Thousands of novel polyketide synthase (PKS) gene clusters have been identified in recent years with advances in DNA sequencing. However, experimental characterization of novel and useful PKS activities remains complicated. As a result, computational tools to analyze sequence data are essential to identify and prioritize potentially novel PKS activities. Here we exploit the concept of genetically-encoded self-resistance to identify and rank biosynthetic gene clusters for their potential to encode novel antibiotics. ResultsTo identify PKS genes that are likely to produce an antibacterial compound, we developed an automated method to identify and catalog clusters that harbor potential self-resistance genes. We manually curated a list of known self-resistance genes and searched all NCBI genome databases for homologs of these self-resistance genes in biosynthetic gene clusters. The algorithm takes into account (1) the distance of the potential self-resistance gene to a core enzyme in the biosynthetic gene cluster; (2) the presence of a duplicated housekeeping copy of the self-resistance gene; (3) the presence of close homologs of the biosynthetic gene cluster in diverse species also harboring the putative self-resistance gene; (4) evidence for coevolution of the self-resistance gene and core biosynthetic gene; and (5) self-resistance gene ubiquity. We generated a catalog of 190 unique PKS clusters whose products likely target known enzymes of antibacterial importance. We also present an expanded set of putative self-resistance genes that may be useful in identifying small molecules active against novel microbial targets. ConclusionsWe developed a bioinformatic approach to identify and rank biosynthetic gene clusters that likely harbor self-resistance genes and may produce compounds with antibacterial properties. We compiled a list of putative self-resistance genes for novel antibacterial targets, and of orphan PKS clusters harboring these targets. These catalogues are a resource for discovery of novel antibiotics.

bioinformatics↗

bioRxiv2020

Complete Reconstitution and Deorphanization of the 3 MDa NOCAP (NOCardiosis-Associated Polyketide) Synthase

Several Nocardia strains associated with nocardiosis, a potentially life-threatening disease, house a nonamodular assembly-line polyketide synthase (PKS) that presumably synthesizes an unknown natural product. Here, we report the discovery and structure elucidation of the NOCAP (NOCardiosis-Associated Polyketide) aglycone by first fully reconstituting the NOCAP synthase in vitro from purified protein components followed by heterologous expression in E. coli and spectroscopic analysis of the purified products. The NOCAP aglycone has an unprecedented structure comprised of a substituted resorcylaldehyde headgroup linked to a 15-carbon tail that harbors two conjugated all-trans trienes separated by a stereogenic hydroxyl group. This report is the first example of reconstituting a trans-acyltransferase assembly-line PKS either in vitro or in E. coli, and of using these approaches to "deorphanize" a complete assembly-line PKS identified via genomic sequencing. With the NOCAP aglycone in hand, the stage is set for understanding how this PKS and associated tailoring enzymes confer an advantage to their native hosts during human Nocardia infections.

biochemistry↗

bioRxiv2019

A metabolic pathway for glucosinolate activation by the human gut symbiont Bacteroides thetaiotaomicron

Diet is the largest source of plant-derived metabolites that influence human health. The gut microbiota can metabolize these molecules, altering their biological function. However, little is known about the gut bacterial pathways that process plant-derived molecules. Glucosinolates are well-known metabolites in brassica vegetables and metabolic precursors to cancer-preventive isothiocyanates. Here, we identify a genetic and biochemical basis for isothiocyanate formation by Bacteroides thetaiotaomicron, a prominent gut commensal species. Using a genome-wide transposon insertion screen, we identified an operon required for glucosinolate metabolism in B. thetaiotaomicron. Expression of BT2159-BT2156 in a non-metabolizing relative, Bacteroides fragilis, resulted in gain of glucosinolate metabolism. We show that isothiocyanate formation requires the action of BT2158 and either BT2156 or BT2157 in vitro. Monocolonization of mice with mutant Bt{Delta}2157 showed reduced isothiocyanate production in the gastrointestinal tract. These data provide insight into the mechanisms by which a common gut bacterium processes an important dietary nutrient.

microbiology↗

bioRxiv2019

Systematic identification of regulators of antibody-drug conjugate toxicity using CRISPR-Cas9 screens

Antibody-drug conjugates (ADCs) selectively deliver highly toxic chemotherapeutic agents to target antigen-expressing cells and have become an important cancer treatment in recent years. However, the molecular mechanisms by which ADCs are internalized and activated within cells remain unclear. Here we use CRISPR-Cas9 screens to identify genes that control the toxicity of ADCs. Our results demonstrate critical roles for a range of known and novel endolysosomal trafficking regulators in ADC toxicity. We identify and characterize C18orf8/RMC1 as a regulator of ADC toxicity through its role in endosomal maturation. Through comparative analysis of CRISPR screens with ADCs bearing a noncleavable linker versus a cleavable valine-citrulline (VC) linker, we show that a subset of late endosomal and lysosomal regulators are selectively essential for toxicity of noncleavable linker ADCs. We further show that cleavable VC linkers are rapidly processed upon internalization and therefore surprisingly appear to bypass the requirement of lysosomal delivery. Lastly, we show that inhibition of sialic acid biosynthesis sensitizes cells to ADC treatment by increasing the rate of ADC internalization. This sensitization was observed using several ADCs targeting different antigens in diverse cancer cell types, including the FDA-approved ADC trastuzumab emtansine (T-DM1) in Her2-positive breast cancer cells. Together, these results reveal novel regulators of endolysosomal trafficking, provide important insights to guide future ADC design, and identify candidate combination therapy targets as well as potential mechanisms of ADC resistance.

cancer biology↗

bioRxiv2018

A pathogen-responsive gene cluster for the production of highly modified fatty acids in tomato

In response to biotic stress, plants reshape their complement of lipids to produce suites of highly modified fatty acids that bear unusual chemical functionality. Despite their chemical complexity, proposed roles in pathogen defense and presence in crop plants, little is known about the biosynthesis of these decorated fatty acids. Falcarindiol is a prototypical member of a suite of acetylenic lipids from carrot, tomato, and celery that inhibits growth of several fungal strains and human cancer cell lines. Here we report a set of clustered genes in tomato (Solanum lycopersicum) that are required for the production of falcarindiol in leaves in response to treatment with an adapted fungal pathogen, Cladosporium fulvum. Our approach is based on correlation of untargeted transcriptomic and metabolomic data sets in order to rapidly identify a candidate biosynthetic pathway. By reconstituting the initial biosynthetic steps in a heterologous host (Nicotiana benthamiana) and generating stable transgenic pathway mutants in tomato, we demonstrate a direct role for three genes in the cluster in falcarindiol biosynthesis. This work reveals a mechanism by which plants sculpt their lipid pool in response to pathogens, and provides critical insight into the biochemistry of alkynyl lipid production.\n\nOne Sentence SummaryA biosynthetic gene cluster for the production of falcarindiol, a highly modified antifungal oxylipin found in edible plants.

plant biology↗

bioRxiv2018

HEx: a heterologous expression platform for the discovery of fungal natural products

For decades, fungi have been a source of FDA-approved natural products such as penicillin, cyclosporine, and the statins. Recent breakthroughs in DNA sequencing suggest that millions of fungal species exist on Earth with each genome encoding pathways capable of generating as many as dozens of natural products. However, the majority of encoded molecules are difficult or impossible to access because the organisms are uncultivable or the genes are transcriptionally silent. To overcome this bottleneck in natural product discovery, we developed the HEx (Heterologous EXpression) synthetic biology platform for rapid, scalable expression of fungal biosynthetic genes and their encoded metabolites in Saccharomyces cerevisiae. We applied this platform to 41 fungal biosynthetic gene clusters from diverse fungal species from around the world, 22 of which produced detectable compounds. These included novel compounds with unexpected biosynthetic origins, particularly from poorly studied species. This result establishes the HEx platform for rapid discovery of natural products from any fungal species, even those that are uncultivable, and opens the door to discovery of the next generation of natural products.\n\nSummaryHere we present the largest scale effort reported to date toward the complete refactoring and heterologous expression of fungal biosynthetic gene clusters utilizing HEx, a novel synthetic biology platform.

synthetic biology↗