Biology subjects

Milla, C.

Publications and source records attributed to Milla, C..

6 recordsLinked to original sources

bioRxiv2026

Purification of filamentous phage ssDNA genomes using Chaotropic salt/silica methods

Filamentous phages play important roles in molecular biology and bacterial pathogenesis. There is therefore great interest in the genomes of the phages, including M13 and Pf, which infect Escherichia coli and Pseudomonas aeruginosa, respectively. However, efficient methods for purifying single-stranded DNA (ssDNA) from filamentous phages are scarce and rely mainly on repurposed commercial kits developed for dsDNA. These kits yield variable amounts of ssDNA, varying considerably from one phage to another, their solutions are proprietary and troubleshooting, and customizing the protocol to improve purification is not possible. Here, we developed and optimized two protocols based on ssDNA binding to silica columns in the presence of guanidine hydrochloride and potassium iodide chaotropic salts, for filamentous phages M13KO7 and Pf4. The protocols achieved 60 to 100% recovery, equal to or higher than the Monarch Spin gDNA Extraction and DNeasy Blood and Tissue kits, with similar A260/280 and A260/230 ratios, intact DNA in agarose gels, and no detectable host genomic DNA by PCR. Recovery depended critically on the chaotropic salts and on ethanol, and did not increase at lower pH, consistent with a water-exclusion model in which hydrophobic interactions and hydrogen bonding dominate over electrostatic repulsion. Phage-specific differences in recovery indicate that optimization may be needed for some phages, which the fully customizable nature of these protocols facilitates. Comparing the virion ssDNA with the double-stranded replicative form (RF) revealed genome variants in both phages, including a shorter M13KO7 form lacking the kanamycin resistance-p15A insert, and illustrates the value of analyzing both RF and ssDNA forms to study filamentous phage biology. Implementing these protocols in routine filamentous phage workflows should facilitate their characterization and engineering.

molecular biology↗

bioRxiv2025

Durable reconstitution of sinonasal epithelium by transplant of CFTR gene corrected airway stem cells

Modulator agents that restore cystic fibrosis transmembrane conductance regulator (CFTR) function have revolutionized outcomes in cystic fibrosis, an incurable multisystem disease. Barriers exist to modulator use, making local CFTR gene and cell therapies attractive, especially in the respiratory tract. We used CRISPR to gene-correct CFTR in upper airway basal stem cells (UABCs) and show durable local engraftment into recipient murine respiratory epithelium. Interestingly, the human cells recapitulate the in vivo organization and differentiation of human sinus epithelium, with little expansion or contraction of the engrafted population over time, while retaining expression of the CFTR transgene. Our results indicate that human airway stem cell transplantation with locoregional restoration of CFTR function is a feasible approach for treating CF and potentially other diseases of the respiratory tract.

bioengineering↗

bioRxiv2025

Pseudomonas superinfection drives Pf phage transmission within airway infections in patients with cystic fibrosis

Pf bacteriophages, lysogenic viruses that infect Pseudomonas aeruginosa (Pa), are implicated in the pathogenesis of chronic Pa infections; phage-infected (Pf+) strains are known to predominate in people with cystic fibrosis (pwCF) who are older and have more severe disease. However, the transmission patterns of Pf underlying the progressive dominance of Pf+ strains are unclear. In particular, it is unknown whether phage transmission commonly occurs horizontally between bacteria within the airway via viral particles or if Pf+ bacteria are mostly acquired via new Pseudomonas infections. Here, we have studied Pa genomic sequences from 3 patient cohorts totaling 663 clinical isolates from 105 pwCF. We identify Pf+ isolates and analyze transmission patterns of Pf within patients between genetically similar groups of bacteria called "clone types". We find that Pf is predominantly passed down vertically within Pa lineages and rarely via horizontal transfer between clone types within the airway. Conversely, we find extensive evidence of Pa superinfection by a new, genetically distinct Pa that is Pf+. Finally, we find that clinical isolates show reduced activity of the type IV pilus and reduced susceptibility to Pf in vitro. These results cast new light on the transmission of virulence-associated phages in the clinical setting.

microbiology↗

bioRxiv2024

Vascular FLRT2 regulates venous-mediated angiogenic expansion and CNS barriergenesis

Veins have emerged as the origin of all other endothelial cell subtypes needed to expand vascular networks during developmental and pathological neoangiogenesis. Here, we uncover the significant role of the angioneurin Fibronectin Leucine Rich Transmembrane protein (FLRT) 2 in central nervous system (CNS) vascular development in the mouse. Early postnatal FLRT2 deletion reveals specific defects in retinal veins, impacting endothelial cell proliferation, sprouting and polarity that result in reduced tip cells at the vascular front. FLRT2 interacts with VE-cadherin and together with the endocytic adaptor protein Numb contribute to the modulation of adherens junction morphology in both retina and cerebral cortex in vivo. Utilizing expansion microscopy, we visualize the altered dynamic distribution of VE-cadherin in tissue of FLRT2 endothelial mutants. Additionally, FLRT2 in cortical vessels regulates the crosstalk between adherens and tight junctions, influencing blood-brain barrier development. Our findings position FLRT2 as a vein-specific crucial regulator of CNS vascular development.

neuroscience↗

bioRxiv2024

Pf bacteriophages hinder sputum antibiotic diffusion via electrostatic binding

Despite great progress in the field, chronic Pseudomonas aeruginosa (Pa) infections remain a major cause of morbidity and mortality in patients with cystic fibrosis, necessitating treatment with inhaled antibiotics. Pf phage is a filamentous bacteriophage produced by Pa that has been reported to act as a structural element in Pa biofilms. Pf presence has been associated with resistance to antibiotics and poor outcomes in cystic fibrosis, though the underlying mechanisms are unclear. Here, we have investigated how Pf phages and sputum biopolymers impede antibiotic diffusion using human sputum samples and fluorescent recovery after photobleaching. We demonstrate that tobramycin interacts with Pf phages and sputum polymers through electrostatic interactions. We also developed a set of mathematical models to analyze the complex observations. Our analysis suggests that Pf phages in sputum reduce the diffusion of charged antibiotics due to a greater binding constant associated with organized liquid crystalline structures formed between Pf phages and sputum polymers. This study provides insights into antibiotic tolerance mechanisms in chronic Pa infections and may offer potential strategies for novel therapeutic approaches. TeaserPf phages and sputum polymers reduce antibiotic diffusion via electrostatic interactions and liquid crystal formation.

microbiology↗

bioRxiv2017

DEVELOPING GENE-SPECIFIC META-PREDICTOR OF VARIANT PATHOGENICITY

Rapid, accurate, and inexpensive genome sequencing promises to transform medical care. However, a critical hurdle to enabling personalized genomic medicine is predicting the functional impact of novel genomic variation. Various methods of missense variants pathogenicity prediction have been developed by now. Here we present a new strategy for developing a pathogenicity predictor of improved accuracy by applying and training a supervised machine learning model in a gene-specific manner. Our meta-predictor combines outputs of various existing predictors, supplements them with an extended set of stability and structural features of the protein, as well as its physicochemical properties, and adds information about allele frequency from various datasets. We used such a supervised gene-specific meta-predictor approach to train the model on the CFTR gene, and to predict pathogenicity of about 1,000 variants of unknown significance that we collected from various publicly available and internal resources. Our CFTR-specific meta-predictor based on the Random Forest model performs better than other machine learning algorithms that we tested, and also outperforms other available tools, such as CADD, MutPred, SIFT, and PolyPhen-2. Our predicted pathogenicity probability correlates well with clinical measures of Cystic Fibrosis patients and experimental functional measures of mutated CFTR proteins. Training the model on one gene, in contrast to taking a genome wide approach, allows taking into account structural features specific for a particular protein, thus increasing the overall accuracy of the predictor. Collecting data from several separate resources, on the other hand, allows to accumulate allele frequency information, estimated as the most important feature by our approach, for a larger set of variants. Finally, our predictor will be hosted on the ClinGen Consortium database to make it available to CF researchers and to serve as a feasibility pilot study for other Mendelian diseases.

bioinformatics↗