Biology subjects

Yu, M.

Publications and source records attributed to Yu, M..

At least 145 records · Page 8Linked to original sources

bioRxiv2020

Biodegradation of polyester polyurethane by Aspergillus flavus G10

Polyurethanes (PU) are integral to many aspects of our daily lives. Due to the extensive use of and difficulties in recycling or reusing PU, it mostly accumulates as waste. Various bacteria and fungi have been reported to degrade PU. We examined the fungus Aspergillus flavus G10 in that regard, after isolating it from the guts of Gryllus bimaculatus, a common cricket species. We observed surficial and chemical changes of PU with atomic force microscopy, scanning electron microscopy, and attenuated total reflectance Fourier-transform infrared spectroscopy. We measured physical changes as loss in tensile stress, stretching force, and weight of PU after incubations. Fungal hydrolysis of urethane bonds in the polymer backbone was demonstrated by detecting the formation of methylene di-aniline during incubations. Trapped CO2 during incubations equaled 52.6% of PU carbon. Biodegradation of PU was maximal by fungi cultured on a malt extract medium at 25 °C, pH 12, and 14:10 hrs light to dark ratio. Pretreating PU films with UV light or 1% FeSO4 or NaCl solutions further enhanced the rate of biodegradation. A range of techniques are needed to fully characterize the degradation of PU or other plastic polymers and to optimize conditions for their microbial degradation.View Full Text

bioengineering↗

bioRxiv2020

Phenotype Spectrum reflects Synergies among the Cell Architecture over Stages of the Cell Cycle

The heterogeneity of cell phenotypes remains a barrier in progressing cell research and a challenge in conquering cancer-related drug resistance. Cell morphology, the most direct property of cell phenotype, evolves along the progression of the cell cycle; meanwhile, cell motility, the dynamic property of cell phenotype, also alters over the cell cycle. However, a quantifiable research understanding the strict relationship between the cell cycle and cell migration is missing. Herein, we separately elucidate the correspondence of single NIH 3T3 fibroblast migratory behaviors with the G1, S, and G2 phases of the cell cycle, an underlying property of proliferation. The results show that synergies among the highly spatiotemporal arrangements of signals in Rho GTPases and cyclin-dependent kinase inhibitors, p21Cip1, and p27Kip1 coordinates proliferation and migration. Taken together, we explain the synergies among these processes through providing an interactive molecular mechanism between the cell cycle and cell migration and demonstrate that both cell morphology and the dynamic subcellular behavior are homogenous within each stage of the cell cycle phases, posing potential implications in countering drug resistance.

cell biology↗

bioRxiv2020

Inhibition of 2-Hydroxyglutrate Elicits Metabolic-reprograming and Mutant IDH1 Glioma Immunity

Mutant isocitrate-dehydrogenase-1 (IDH1-R132H; mIDH1) is a hallmark of adult gliomas. Lower grade mIDH1 gliomas are classified into two molecular subgroups: (i) 1p/19q co-deletion/TERT-promoter mutations or (ii) inactivating mutations in -thalassemia/mental retardation syndrome X-linked (ATRX) and TP53. This work, relates to the gliomas subtype harboring mIDH1, TP53 and ATRX inactivation. IDH1-R132H is a gain-of-function mutation that converts -ketoglutarate into 2-hydroxyglutarate (D-2HG). The role of D-2HG within the tumor microenvironment of mIDH1/mATRX/mTP53 gliomas remains unexplored. Inhibition of 2HG, when used as monotherapy or in combination with radiation and temozolomide (IR/TMZ), led to increased median survival (MS) of mIDH1 glioma bearing mice. Also, 2HG inhibition elicited anti-mIDH1 glioma immunological memory. In response to 2HG inhibition, PD-L1 expression levels on mIDH1-glioma cells increased to similar levels as observed in wild-type-IDH1 gliomas. Thus, we combined 2HG inhibition/IR/TMZ with anti-PDL1 immune checkpoint-blockade and observed complete tumor regression in 60% of mIDH1 glioma bearing mice. This combination strategy reduced T-cell exhaustion and favored the generation of memory CD8+T-cells. Our findings demonstrate that metabolic reprogramming elicits anti-mIDH1 glioma immunity, leading to increased MS and immunological memory. Our preclinical data supports the testing of IDH-R132H inhibitors in combination with IR/TMZ and anti-PDL1 as targeted therapy for mIDH1/mATRX/mTP53 glioma patients. Brief SummaryInhibition of 2-Hydroxyglutrate in mutant-IDH1 glioma in the genetic context of ATRX and TP53 inactivation elicits metabolic-reprograming and anti-glioma immunity.

immunology↗

bioRxiv2020

Predicting Metastasis with a Novel Biophysical Cell-Adhesion Force Technique

Metastasis is widely accepted to be responsible for approximately 90% of all cancer deaths. Current research on metastasis prediction often centers on gene sequencing; however, these analyses must account for the complexity of gene regulation and rely on comprehensive datasets. To investigate the process from a simpler, non-genomic angle, some studies indicate differences in cell adhesion force, an important physical process in metastasizing cells. However, cell adhesion force methods tend to focus on cell population approaches and therefore have their drawbacks in cost or efficiency, rendering them impractical outside a research setting. In this work, we test a novel and inexpensive bead-pipette assay to investigate the adhesion forces of non-metastatic NIH3T3 cells and mutated RasV12 cells, a metastatic model cell line. Control cells and RasV12 cells were evaluated with wound healing, spreading area, and focal adhesion (FA) analysis assays. Then cells were tested by the novel bead-pipette assay, which uses a fibronectin-coated bead and a glass micropipette to measure cell adhesion force using Hookes law. The RasV12 cells had faster migration, polarized cell shape, and smaller FA area than control cells. The RasV12 cells also exerted higher adhesion forces than control cells and a potential force threshold was determined for distinguishing metastatic cells through a Receiver Operating Characteristic (ROC) curve. An ROC curve was computed for all other assays and the bead-pipette assay was shown to perform higher as a classifier than other assays. The RasV12 cells had increased metastatic potential compared to control. The novel bead-pipette assay showed potential as a classifier for determining metastasizing cells from non-metastatic cells. With further work, it may serve as a clinical diagnostic tool for cancer patients or as a testbed to be used in the development of anti-metastatic drugs.

biophysics↗

bioRxiv2020

Distinct trends in chemical composition of proteins from metagenomes in redox and salinity gradients

Thermodynamic influences on the chemical compositions of proteins have remained enigmatic despite much work that demonstrates the impact of environmental conditions on amino acid frequencies. Here, we show that the dehydrating effect of salinity is apparent in protein sequences inferred from metagenomes and metatranscriptomes. The stoichiometric hydration state (nH2O), derived from the number of water molecules in theoretical reactions to form proteins from a particular set of basis species (glutamine, glutamic acid, cysteine, O2, H2O), decreases along salinity gradients including the Baltic Sea, Amazon River and ocean plume, and other samples from freshwater and marine environments. Analysis of other metagenomic datasets shows that differences in carbon oxidation state, rather than stoichiometric hydration state, are a stronger indicator of redox gradients than salinity gradients. These compositional metrics can help to identify thermodynamic effects in the distribution of proteins along chemical gradients at scales from geologic systems to cells.

biochemistry↗

bioRxiv2020

CTCF Promotes Long-range Enhancer-promoter Interactions and Lineage-specific Gene Expression in Mammalian Cells

Topologically associating domains (TAD) and insulated neighborhoods (INs) have been proposed to constrain enhancer-promoter communications to enable cell-type specific transcription programs, but recent studies show that disruption of TADs and INs resulted in relatively mild changes in gene expression profiles. To better understand the role of chromatin architecture in dynamic enhancer-promoter contacts and lineage-specific gene expression, we have utilized the auxin-inducible degron system to acutely deplete CTCF, a key factor involved in TADs and IN formation, in mouse embryonic stem cells (mESCs) and examined chromatin architecture and gene regulation during neural differentiation. We find that while CTCF depletion leads to global weakening of TAD boundaries and loss of INs, only a minor fraction of enhancer-promoter contacts are lost, affecting a small subset of genes. The CTCF-dependent enhancer-promoter contacts tend to be long-range, spanning hundreds of kilobases, and are established directly by CTCF binding to promoters. Disruption of CTCF binding at the promoter reduces enhancer-promoter contacts and transcription, while artificial tethering of CTCF to the promoter restores the enhancer-promoter contacts and gene activation. Genome-wide analysis of CTCF binding and gene expression across multiple mouse tissues suggests that CTCF-dependent promoter-enhancer contacts may regulate expression of additional mouse genes, particularly those expressed in the brain. Our results uncover both CTCF-dependent and independent enhancer-promoter contacts, and highlight a distinct role for CTCF in promoting enhancer-promoter contacts and gene activation in addition to its insulator function.

genomics↗

bioRxiv2020

Limited Environmental Serine Confers Sensitivity to PHGDH Inhibition in Brain Metastasis

A hallmark of metastasis is the adaptation of tumor cells to new environments. Although it is well established that the metabolic milieu of the brain is severely deprived of nutrients, particularly the amino acids serine and its catabolite glycine, how brain metastases rewire their metabolism to survive in the nutrient-limited environment of the brain is poorly understood. Here we demonstrate that cell-intrinsic de novo serine synthesis is a major determinant of brain metastasis. Whole proteome comparison of triple-negative breast cancer (TNBC) cells that differ in their capacity to colonize the brain reveals that 3-phosphoglycerate dehydrogenase (PHGDH), which catalyzes the rate-limiting step of glucose-derived serine synthesis, is the most significantly upregulated protein in cells that efficiently metastasize to the brain. Genetic silencing or pharmacological inhibition of PHGDH attenuated brain metastasis and improved overall survival in mice, whereas expression of catalytically active PHGDH in a non-brain trophic cell line promoted brain metastasis. Collectively, these findings indicate that nutrient availability determines serine synthesis pathway dependence in brain metastasis, and suggest that PHGDH inhibitors may be useful in the treatment of patients with cancers that have spread to the brain. Statement of SignificanceOur study highlights how limited serine and glycine availability within the brain microenvironment potentiates tumor cell sensitivity to serine synthesis inhibition. This finding underscores the importance of studying cancer metabolism in physiologically-relevant contexts, and provides a rationale for using PHGDH inhibitors to treat brain metastasis.

cancer biology↗

bioRxiv2020

The CEPR2-mediated phosphorylation of NRT1.2 mainly regulates ABA import in Arabidopsis

Abscisic acid (ABA) transport plays important role in systematic plant responses to environmental factors. Here, we showed that C-terminally encoded peptide receptor 2 (CEPR2) directly interacted with the ABA transporter NRT1.2. Using transgenic seedlings, we demonstrated that NRT1.2 positively regulated the ABA response, and that CEPR2 acted on NRT1.2 epistatically and negatively. Under normal conditions, CEPR2 phosphorylated NRT1.2 at least at serine 292 to promote the degradation of NRT1.2. However, ABA and serine 292 nonphospharylation strongly inhibited the degradation of NRT1.2, indicating that ABA-inhibited the phosphorylation of NRT1.2. Transport assays in yeast and Xenopus oocytes showed that nonphosphorylated NRT1.2 had high levels of ABA-import activity, but phosphorylated NRT1.2 did not import ABA. Analyses of complement nrt1.2 mutants by mimicking nonphospharylated and phospharylated NRT1.2 confirmed that nonphospharylated NRT1.2S292A had high stability and ABA import activity in planta. Further experiments indicated that NRT1.2 was degraded via the 26S proteasome and vacuolar degradation pathways. UBC32, UBC33, and UBC34 interacted with, and mediated the ubiquitination of NRT1.2. UBC32, UBC33, and UBC34 acted on NRT1.2 epistatically and negatively in planta. Thus, our results suggested the existence of novel plant mechanisms regulating NRT1.2 stability and ABA import activity in response to environmental conditions.

molecular biology↗

bioRxiv2020

Diversity and Structural Variability of Bacterial Microbial Communities in Rhizocompartments of Desert Leguminous Plants

By assessing diversity variations of bacterial communities under different rhizocompartment types (i.e., roots, rhizosphere soil, root zone soil, and inter-shrub bulk soil), we explore the structural variability of bacterial communities in different root microenvironments under desert leguminous plant shrubs. Results will enable the influence of niche differentiation of plant roots and root soil on the structural stability of bacterial communities under three desert leguminous plant shrubs to be examined. High-throughput 16S rRNA genome sequencing was used to characterize diversity and structural differences of bacterial microbes in the rhizocompartments of three xeric leguminous plants. Results from this study confirm previous findings relating to niche differentiation in rhizocompartments under related shrubs, and they demonstrate that diversity and structural composition of bacterial communities have significant hierarchical differences across four rhizocompartment types under leguminous plant shrubs. Desert leguminous plants had significant effects on the enrichment and filtration of specific bacterial microbiomes across different rhizocompartments (P<0.05). The core bacterial microbiomes causing structure and composition variability of bacterial communities across different niches of desert leguminous plants are also identified. By investigating the influence of niches on the structural variability of soil bacterial communities with the differentiation of rhizocompartments under desert leguminous plant shrubs, we provide data support for the identification of dominant bacteria and future preparation of inocula, and provide a foundation for further study of the host plants-microbial interactions. IMPORTANCEColonization by plant communities make valued contribution to sand-fixing in poor ecological desert environments, thereby reducing the effects of wind erosion in these areas. Our study revealed that specific core bacterial microbiomes in under-shrub soil microbial communities had a significant hierarchical enrichment effect among rhizocompartments, and were filtered into roots. The root endophyte microbiomes thus formed had low abundance and diversity, but their structural variability was the highest. In addition, our data also verified that the rhizocompartments of under desert leguminous plant shrubs had a significant differentiation effect for the core bacterial microbiomes enriched and filtered by host plants, and that each rhizocompartment represented a unique niche of bacterial communities. Understanding the interactions between xeric shrubs and soil microbial communities is a fundamental step for describing desert soil ecosystems, which in turn can offer a microbe-associated reference for evaluating the restoration of desert vegetation.

ecology↗

bioRxiv2019

A translational kidney organoid system bolsters human relevance of clinical development candidate

A major challenge in drug discovery is gaining confidence in the human relevance of pre-clinical animal studies. While human iPSC-derived organoids offer exciting opportunities to address this, concerns about applicability and scalability remain. Here, we report a high-throughput organoid platform for assessment of kidney disease targeting compounds in a human system. We confirmed platform reproducibility by single cell RNA-Seq (scRNA-Seq) and derived a NanoString panel for efficient quality control (QC). Organoid transplantation in rats for 2 to 4 weeks promoted organoid maturation and vascularization. In functional studies, cyclosporine A (CsA) and GFB-887, a novel TRPC5 channel blocker, protected kidney organoids from injury. Pharmacodynamic studies with GFB-887 delivered orally to rats were also successfully performed in human transplanted organoids. These data show how human organoids can deliver confidence in taking development candidate compounds to the clinic, fulfilling their promise to revolutionize drug discovery.

genomics↗

bioRxiv2019

Simulation-based comprehensive study of batch effects in metabolomics studies

Batch effects will influence the interpretation of metabolomics data. In order to avoid misleading results, batch effects should be corrected and normalized prior to statistical analysis. Metabolomics studies are usually performed without targeted compounds (e.g., internal standards) and it is a challenging task to validate batch effects correction methods. In addition, statistical properties of metabolomics data are quite different from genomics data (where most of the currently used batch correction methods have originated from). In this study, we firstly analyzed already published metabolomics datasets so as to summarize and discuss their statistical properties. Then, based on available datasets, we developed novel statistical properties-based in silico simulations of metabolomics peaks intensity data so as to analyze the influence of batch effects on metabolomic data with the use of currently available batch correction strategies. Overall, 252000 batch corrections on 14000 different in silico simulated datasets and related differential analyses were performed in order to evaluate and validate various batch correction methods. The obtained results indicate that log transformations strongly influence the performance of all investigated batch correction methods. False positive rates increased after application of batch correction methods with almost no improvement on true positive rates among the analyzed batch correction methods. Hence, in metabolomic studies it is recommended to implement preliminary experiments to simulate batch effects from real data in order to select adequate batch correction method, based on a given distribution of peaks intensity. The presented study is reproducible and related R package mzrtsim software can be found online (https://github.com/yufree/mzrtsim).

bioinformatics↗

bioRxiv2019

Reactomics: Using mass spectrometry as a chemical reaction detector

Untargeted metabolomics analysis captures chemical reactions among small molecules. Common mass spectrometry-based metabolomics workflows first identify the small molecules significantly associated with the outcome of interest, then begin exploring their biochemical relationships to understand biological fate (environmental studies) or biological impact (physiological response). We suggest an alternative by which biochemical relationships can be directly retrieved through untargeted high-resolution paired mass distance (PMD) analysis without a priori knowledge of the identities of participating compounds. Retrieval is done using high resolution mass spectrometry as a chemical reaction detector, where PMDs calculated from the mass spectrometry data are linked to biochemical reactions obtained via data mining of small molecule and reaction databases, i.e. Reactomics. We demonstrate applications of reactomics including PMD network analysis, source appointment of unknown compounds, and biomarker reaction discovery as a complement to compound discovery analyses used in traditional untargeted workflows. An R implementation of reactomics analysis and the reaction/PMD databases is available as the pmd package (https://yufree.github.io/pmd/).

bioinformatics↗

bioRxiv2019

Found in Transcription: Gene fusions arise through defects in RNA processing in the absence of chromosomal rearrangements.

Recent advancements in high throughput sequencing analysis have enabled the characterization of cancer-driving fusions, improving our understanding of cancer development. Most fusion calling methods, however, examine either RNA or DNA information alone and are limited to a rigid definition of what constitutes a fusion. For this study we developed a pipeline that incorporates several fusion calling methods and considers both RNA and DNA to capture a more complete representation of the tumour fusion landscape. Interestingly, most of the fusions we identified were specific to RNA, with no evidence of corresponding genomic restructuring. Further, while the average total number of fusions in tumour and normal brain tissue samples is comparable, their overall fusion profiles vary significantly. Tumours have an over-representation of fusions occurring between coding genes, whereas fusions involving intergenic or non-coding regions comprised the vast majority of those in normals. Tumours were also more abundant in unique, sample-specific fusions compared to normals, though several fusions exhibited strong recurrence in the tumour type examined (diffuse intrinsic pontine glioma; DIPG) and were absent from both normal tissues and other cancers. Intriguingly, tumours also show broad up- or down-regulation of spliceosomal gene expression, which significantly correlates with fusion number (p=0.007). Our results show that RNA-specific fusions are abundant in both tumour and normal tissue and are associated with spliceosomal gene dysregulation. RNA-specific fusions should be considered as a potential mechanism that may contribute to cancer formation initiation and maintenance alongside more traditional structural events.

genomics↗

bioRxiv2019

Cell type-specific enhancer-promoter connectivity maps in the human brain and disease risk association

Unique cell type-specific patterns of activated enhancers can be leveraged to interpret non-coding genetic variation associated with complex traits and diseases such as neurological and psychiatric disorders. Here, we have defined active promoters and enhancers for major cell types of the human brain. Whereas psychiatric disorders were primarily associated with regulatory regions in neurons, idiopathic Alzheimers disease (AD) variants were largely confined to microglia enhancers. Interactome maps connecting GWAS variants in cell type-specific enhancers to gene promoters revealed an extended microglia gene network in AD. Deletion of a microglia-specific enhancer harboring AD-risk variants ablated BIN1 expression in microglia but not in neurons or astrocytes. These findings revise and expand the genes likely to be influenced by non-coding variants in AD and suggest the probable brain cell types in which they function.\n\nOne Sentence SummaryIdentification of cell type-specific regulatory elements in the human brain enables interpretation of non-coding GWAS risk variants.

neuroscience↗

bioRxiv2019

Identification of Escherichia coli ClpAP in regulating susceptibility to type VI secretion system-mediated attack by Agrobacterium tumefaciens

Type VI secretion system (T6SS) is an effector delivery system used by gram-negative bacteria to kill other bacteria or eukaryotic host to gain fitness. In Agrobacterium tumefaciens, T6SS has been shown to kill other bacteria such as Escherichia coli. Interestingly, the A. tumefaciens T6SS killing efficiency differs when using different E. coli strains as recipient cells. Thus, we hypothesize that a successful T6SS killing not only relies on attacker T6SS activity but also depends on recipient factors. A high-throughput interbacterial competition assay was employed to test the hypothesis by screening for mutants with reduced killing outcomes caused by A. tumefaciens strain C58. From the 3909 E. coli Keio mutants screened, 16 candidate mutants were filtered out. One strain, {Delta}clpP::Kan, showed ten times more resistant to T6SS-mediating killing but restored its susceptibility when complemented with clpP in trans. ClpP is a universal and highly conserved protease that exists in both prokaryotes and eukaryotic organelles. In E. coli, ClpP uses either ClpA or ClpX as an adaptor for substrate specificity. Therefore, the susceptibility of the {Delta}clpA::Kan and {Delta}clpX::Kan was also tested. The T6SS attack susceptibility of {Delta}clpA::Kan is at the same level as {Delta}clpP::Kan, while {Delta}clpX::Kan showed no difference as compared to that of wild-type E. coli BW25113. The data also suggest that ClpA-ClpP interaction, rather than its protease activity, is responsible for enhancing susceptibility to T6SS killing. This study highlights the importance of recipient factors in determining the outcome of T6SS killing.

microbiology↗

bioRxiv2019

A hydrogen dependent geochemical analogue of primordial carbon and energy metabolism

Hydrogen gas, H2, is generated in alkaline hydrothermal vents from reactions of iron containing minerals with water during a geological process called serpentinization. It has been a source of electrons and energy since there was liquid water on the early Earth, and it fuelled early anaerobic ecosystems in the Earths crust1-3. H2 is the electron donor for the most ancient route of biological CO2 fixation, the acetyl-CoA (or Wood-Ljungdahl) pathway, which unlike any other autotrophic pathway simultaneously supplies three key requirements for life: reduced carbon in the form of acetyl groups, electrons in the form of reduced ferredoxin, and ion gradients for energy conservation in the form of ATP4,5. The pathway is linear, not cyclic, it releases energy rather than requiring energy input, its enzymes are replete with primordial metal cofactors6,7, it traces to the last universal common ancestor8 and abiotic, geochemical organic syntheses resembling segments of the pathway occur in hydrothermal vents today9,10. Laboratory simulations of the acetyl-CoA pathways reactions include the nonenzymatic synthesis of thioesters from CO and methylsulfide11, the synthesis of acetate12 and pyruvate13 from CO2 using native iron or external electrochemical potentials14 as the electron source. However, a full abiotic analogue of the acetyl-CoA pathway from H2 and CO2 as it occurs in life has not been reported to date. Here we show that three hydrothermal minerals -- awaruite (Ni3Fe), magnetite (Fe3O4) and greigite (Fe3S4) -- catalyse the fixation of CO2 with H2 at 100 {degrees}C under alkaline aqueous conditions. The product spectrum includes formate (100 mM), acetate (100 M), pyruvate (10 M), methanol (100 M), and methane. With these simple catalysts, the overall exergonic reaction of the acetyl-CoA pathway is facile, shedding light on both the geochemical origin of microbial metabolism and on the nature of abiotic formate and methane synthesis in modern hydrothermal vents.

evolutionary biology↗

bioRxiv2019

Widespread positive selection for mRNA secondary structure at synonymous sites in domesticated yeast

mRNA secondary structure assumes a critical role in gene regulation, especially for translational efficiency. Previous studies have a growing appreciation of purifying selection for the conserved mRNA structure across lineages of different species. However, the effect of mRNA structure on positive evolution remains unclear. Here, we construct a large-scale dataset of single nucleotide polymorphisms (SNPs) at synonymous sites in the population of Saccharomyces cerevisiae, combined with the experimental assessment of mRNA structure, and perform empirical population genetics data analysis through unfolded site-frequency spectra. Our results suggest that functional mRNA stem drives faster evolution of increasing GC contents itself with the purpose of regulating translational speed, which is greatly influenced by length. At the synonymous site without codon usage bias, this kind of positive selection still exists. Furthermore, mRNA secondary structure is subject to positive selection widespread among the yeast genome, particularly related to mitochondria activities, which is possibly aimed to achieve a balance between cellular respiration and alcoholic fermentation precisely at a non-protein level. It is conducive to the adaption of the dramatic environment alterations from wild to man-made environments during the domestication.

evolutionary biology↗

bioRxiv2019

Modulating pathogenesis with Mobile-CRISPRi

Pathogens express a set of proteins required for establishing and maintaining an infection, termed virulence life-style genes (VLGs). Due to their outsized importance in pathogenesis, VLG products are attractive targets for the next generation of antimicrobials. However, precise manipulation of VLG expression in the context of infection is technically challenging, limiting our ability to understand the roles of VLGs in pathogenesis and accordingly design effective inhibitors. We previously developed a suite of gene knockdown tools that are transferred by conjugation and stably integrate into pathogen genomes that we call \"Mobile-CRISPRi\". Here we show the efficacy of Mobile-CRISPRi in controlling VLG expression in a murine infection model. We optimize Mobile-CRISPRi in Pseudomonas aeruginosa for use in a murine model of pneumonia by tuning the expression of CRISPRi components to avoid non-specific toxicity. As a proof of principle, we demonstrate that knockdown of a VLG encoding the type III secretion system (T3SS) activator ExsA blocks effector protein secretion in culture and attenuates virulence in mice. We anticipate that Mobile-CRISPRi will be a valuable tool to probe the function of VLGs across many bacterial species and pathogenesis models.\n\nImportanceAntibiotic resistance is a growing threat to global health. To optimize the use of our existing antibiotics and identify new targets for future inhibitors, understanding the fundamental drivers of bacterial growth in the context of the host immune response is paramount. Historically these genetic drivers have been difficult to manipulate, as they are requisite for pathogen survival. Here, we provide the first application of Mobile-CRISPRi to study virulence life-style genes in mouse models of lung infection through partial gene perturbation. We envision the use of Mobile-CRISPRi in future pathogenesis models and antibiotic target discovery efforts.

microbiology↗