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  • Journal article
    Yu W, Jin K, Wang D, Wang N, Li Y, Liu Y, Li J, Du G, Lv X, Chen J, Ledesma-Amaro R, Liu Let al., 2024,

    De novo engineering of programmable and multi-functional biomolecular condensates for controlled biosynthesis.

    , Nat Commun, Vol: 15

    There is a growing interest in the creation of engineered condensates formed via liquid-liquid phase separation (LLPS) to exert precise cellular control in prokaryotes. However, de novo design of cellular condensates to control metabolic flux or protein translation remains a challenge. Here, we present a synthetic condensate platform, generated through the incorporation of artificial, disordered proteins to realize specific functions in Bacillus subtilis. To achieve this, the "stacking blocks" strategy is developed to rationally design a series of LLPS-promoting proteins for programming condensates. Through the targeted recruitment of biomolecules, our investigation demonstrates that cellular condensates effectively sequester biosynthetic pathways. We successfully harness this capability to enhance the biosynthesis of 2'-fucosyllactose by 123.3%. Furthermore, we find that condensates can enhance the translation specificity of tailored enzyme fourfold, and can increase N-acetylmannosamine titer by 75.0%. Collectively, these results lay the foundation for the design of engineered condensates endowed with multifunctional capacities.

  • Journal article
    Davies JC, Polineni D, Boyd AC, Donaldson S, Gill DR, Griesenbach U, Hyde SC, Jain R, McLachlan G, Mall MA, Alton EWet al., 2024,

    Lentiviral Gene Therapy for Cystic Fibrosis: A Promising Approach and First-In-Human Trial.

    , Am J Respir Crit Care Med

    Cystic fibrosis is a genetic disease caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. While cystic fibrosis is a multi-organ disease, the leading causes of morbidity and mortality are related to progressive lung disease. Current understanding of the effects of the broad spectrum of CFTR mutations on CFTR function has allowed for the development of CFTR modulator therapies. Despite the remarkable impact that these therapies have had, there remains a significant proportion of people with cystic fibrosis (estimated at 10-15% of the global cystic fibrosis population) who are genetically ineligible for, or intolerant to, current CFTR-targeting therapies and whose therapeutic needs remain unmet. Inhaled genetic therapies offer the prospect of addressing the unmet pulmonary treatment need in people with cystic fibrosis, with several approaches, including gene addition therapy (the focus of this review), RNA-based therapies, antisense oligonucleotides and gene editing, being explored. Various non-viral and viral vectors have been investigated for cystic fibrosis gene addition therapy for mutation-agnostic restoration of CFTR function in the lungs. Lentiviral vectors offer the prospect of highly efficient and long-lasting gene expression, and the potential to be safely and, in contrast to other commonly used viral vectors, effectively re-dosed. A third-generation lentiviral vector pseudotyped with Sendai virus F and HN envelope proteins (rSIV.F/HN) has been developed for the treatment of cystic fibrosis. Promising preclinical results support the progression of this vector carrying a full-length CFTR transgene (BI 3720931) into a first-in-human clinical trial expected to begin in 2024.

  • Journal article
    Cioccolo S, Barritt JD, Pollock N, Hall Z, Babuta J, Sridhar P, Just A, Morgner N, Dafforn T, Gould I, Byrne Bet al., 2024,

    The mycobacterium lipid transporter MmpL3 is dimeric in detergent solution, SMALPs and reconstituted nanodiscs

    , RSC Chemical Biology, Vol: 5, Pages: 901-913, ISSN: 2633-0679

    The mycobacterial membrane protein large 3 (MmpL3) transports key precursor lipids to the outer membrane of Mycobacterium species. Multiple structures of MmpL3 from both M. tuberculosis and M. smegmatis in various conformational states indicate that the protein is both structurally and functionally monomeric. However, most other resistance, nodulation and cell division (RND) transporters structurally characterised to date are either dimeric or trimeric. Here we present an in depth biophysical and computational analysis revealing that MmpL3 from M. smegmatis exists as a dimer in a variety of membrane mimetic systems (SMALPs, detergent-based solution and nanodiscs). Sucrose gradient separation of MmpL3 populations from M. smegmatis, reconstituted into nanodiscs, identified monomeric and dimeric populations of the protein using laser induced liquid bead ion desorption (LILBID), a native mass spectrometry technique. Preliminary cryo-EM analysis confirmed that MmpL3 forms physiological dimers. Untargeted lipidomics experiments on membrane protein co-purified lipids revealed PE and PG lipid classes were predominant. Molecular dynamics simulations, in the presence of physiologically-relevant lipid compositions revealed the likely dimer interface.

  • Journal article
    Versi A, Azim A, Ivan FX, Abdel-Aziz M, Bates S, Riley J, Maitland-Van der Zee A, Dahlen S-E, Djukanovic R, Chotirmall S, Howarth P, Zounemat Kermani N, Chung KF, Adcock Iet al., 2024,

    Host-microbial interactions differ with age of asthma onset

    , European Respiratory Journal, Vol: 64, ISSN: 0903-1936
  • Journal article
    Moratto E, Tang Z, Bozkurt T, Sena Get al., 2024,

    Reduction of Phytophthora palmivora plant root infection in weak electric fields

    , Scientific Reports, Vol: 14, ISSN: 2045-2322

    The global food security crisis is partly caused by significant crop losses due to pests and pathogens, leading to economic burdens. Phytophthora palmivora, an oomycete pathogen, affects many plantation crops and costs over USD 1 billion each year. Unfortunately, there is currently no prevention plan in place, highlighting the urgent need for an effective solution. P. palmivora produces motile zoospores that respond to weak electric fields. Here, we show that external electric fields can be used to reduce root infection in two plant species. We developed two original essays to study the effects of weak electric fields on the interaction between P. palmivora’s zoospores and roots of Arabidopsis thaliana and Medicago truncatula. In the first configuration, a global artificial electric field is set up to induce ionic currents engulfing the plant roots while, in the second configuration, ionic currents are induced only locally and at a distance from the roots. In both cases, we found that weak ionic currents (250–550 μA) are sufficient to reduce zoospore attachment to Arabidopsis and Medicago roots, without affecting plant health. Moreover, we show that the same configurations decrease P. palmivora mycelial growth in Medicago roots after 24 h. We conclude that ionic currents can reduce more than one stage of P. palmivora root infection in hydroponics. Overall, our findings suggest that weak external electric fields can be used as a sustainable strategy for preventing P. palmivora infection, providing innovative prospects for agricultural crop protection.

  • Journal article
    Liu C, Cheng S, Shi M, Shah A, Bai W, Arcucci Ret al., 2024,

    IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training.

    , IEEE Trans Med Imaging, Vol: PP

    In the field of medical Vision-Language Pretraining (VLP), significant efforts have been devoted to deriving text and image features from both clinical reports and associated medical images. However, most existing methods may have overlooked the opportunity in leveraging the inherent hierarchical structure of clinical reports, which are generally split into 'findings' for descriptive content and 'impressions' for conclusive observation. Instead of utilizing this rich, structured format, current medical VLP approaches often simplify the report into either a unified entity or fragmented tokens. In this work, we propose a novel clinical prior guided VLP framework named IMITATE to learn the structure information from medical reports with hierarchical vision-language alignment. The framework derives multi-level visual features from the chest X-ray (CXR) images and separately aligns these features with the descriptive and the conclusive text encoded in the hierarchical medical report. Furthermore, a new clinical-informed contrastive loss is introduced for cross-modal learning, which accounts for clinical prior knowledge in formulating sample correlations in contrastive learning. The proposed model, IMITATE, outperforms baseline VLP methods across six different datasets, spanning five medical imaging downstream tasks. Comprehensive experimental results highlight the advantages of integrating the hierarchical structure of medical reports for vision-language alignment.

  • Journal article
    Moiseenko A, Sinadinos A, Sergijenko A, Pineault K, Saleh A, Nekola K, Strang N, Eleftheraki A, Boyd AC, Davies JC, Gill DR, Hyde SC, McLachlan G, Rath T, Rothe M, Schambach A, Hobbie S, Schuler M, Maier U, Thomas MJ, Mennerich D, Schmidt M, Griesenbach U, Alton EWFW, Kreuz Set al., 2024,

    Pharmacological and pre-clinical safety profile of rSIV.F/HN, a hybrid lentiviral vector for cystic fibrosis gene therapy.

    , Eur Respir J

    RATIONALE AND OBJECTIVE: Cystic fibrosis (CF) is caused by mutations in the CF Transmembrane Conductance Regulator (CFTR) gene. CFTR modulators offer significant improvements, but approximately 10% of patients remain nonresponsive or are intolerant. This study provides an analysis of rSIV.F/HN, a lentiviral vector optimized for lung delivery, including CFTR protein expression, functional correction of CFTR defects and genomic integration site analysis in preparation for a first-in-human clinical trial. METHODS: Air-liquid interface cultures of primary human bronchial epithelial cells (HBEC) from CF patients (F508del/F508del), as well as a CFTR-deficient immortalized human lung epithelial cell line mimicking Class I (CFTR-null) homozygous mutations, were used to assess transduction efficiency. Quantification methods included a novel proximity ligation assay (PLA) for CFTR protein expression. For assessment of CFTR channel activity, Ussing chamber studies were conducted. The safety profile was assessed using integration site analysis and in vitro insertional mutagenesis studies. RESULTS: rSIV.F/HN expressed CFTR and restored CFTR-mediated chloride currents to physiological levels in primary F508del/F508del HBECs as well as in a Class I cells. In contrast, the latter could not be achieved by small-molecule CFTR modulators, underscoring the potential of gene therapy for this mutation class. Combination of rSIV.F/HN-CFTR with the potentiator ivacaftor showed a greater than additive effect. The genomic integration pattern showed no site predominance (frequency of occurrence ≤10%), and a low risk of insertional mutagenesis was observed in an in vitro immortalization assay. CONCLUSIONS: The results underscore rSIV.F/HN as a promising gene therapy vector for CF, providing a mutation-agnostic treatment option.

  • Journal article
    sun M, Xiong Gao A, Liu X, Ledesma Amaro R, Bai Zet al., 2024,

    Microbial conversion of ethanol to high-value products: progress and challenges

    , Biotechnology for Biofuels and Bioproducts, Vol: 17, ISSN: 2731-3654

    Industrial biotechnology heavily relies on the microbial conversion of carbohydrate substrates derived from sugar- or starch-rich crops. This dependency poses significant challenges in the face of a rising population and food scarcity. Consequently, exploring renewable, non-competing carbon sources for sustainable bioprocessing becomes increasingly important. Ethanol, a key C2 feedstock, presents a promising alternative, especially for producing acetyl-CoA derivatives. In this review, we offer an in-depth analysis of ethanol's potential as an alternative carbon source, summarizing its distinctive characteristics when utilized by microbes, microbial ethanol metabolism pathway, and microbial responses and tolerance mechanisms to ethanol stress. We provide an update on recent progress in ethanol-based biomanufacturing and ethanol biosynthesis, discuss current challenges, and outline potential research directions to guide future advancements in this field. The insights presented here could serve as valuable theoretical support for researchers and industry professionals seeking to harness ethanol's potential for the production of high-value products.

  • Journal article
    Dobra R, Carroll S, Davies JC, Dowdall F, Duff A, Elderton A, Georgiopoulos AM, Massey-Chase R, McNally P, Puckey M, Madge Set al., 2024,

    Exploring the complexity of cystic fibrosis (CF) and psychosocial wellbeing in the 2020s: current and future challenges

    , Paediatric Respiratory Reviews, ISSN: 1526-0542

    Cystic fibrosis (CF) is traditionally associated with considerable and progressive multisystem pathology, onerous treatment burden, complex psychosocial challenges, and reduced life-expectancy [1], [2], [3], [4], [5], [6], [7], [8], [9].This decade has seen transformative change in management for many, but not all, people with CF. The most notable change comes from Cystic Fibrosis Transmembrane Receptor (CFTR) modulators, which bring significant benefits for people who are eligible for, and able to access, them [10]. However alongside, or perhaps because of, this exciting progress, the past few years have also brought important novel challenges to the psychosocial wellbeing of people with CF.This article, written as a collaboration between CF psychologists, social workers, physicians and nurses aims to provide an accessible overview of the novel psychosocial challenges now faced by children, their families, and adults with CF, and to invite consideration of their changing psychosocial requirements to inform future holistic care. Themes include geopolitical stressors such as the pandemic and its wake, a growing divide between those able or unable to access CFTR modulators, potential rapid changes in life expectancy secondary to these drugs and the inevitable associated challenges this brings; evolving body image, mental health side effects of CFTR modulators, the challenges of adherence in apparently well children and young adults, as well as the diagnostic conundrum and associated anxiety of the cystic fibrosis screen positive inconclusive diagnosis (CFSPID) label. It also highlights some unmet research and service delivery needs in the area.

  • Journal article
    Thillai M, Oldham JM, Ruggiero A, Kanavati F, McLellan T, Saini G, Johnson SR, Ble F-X, Azim A, Ostridge K, Platt A, Belvisi M, Maher TM, Molyneaux PLet al., 2024,

    Deep Learning-based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis.

    , Am J Respir Crit Care Med, Vol: 210, Pages: 465-472

    Rationale: Despite evidence demonstrating a prognostic role for computed tomography (CT) scans in idiopathic pulmonary fibrosis (IPF), image-based biomarkers are not routinely used in clinical practice or trials. Objectives: To develop automated imaging biomarkers using deep learning-based segmentation of CT scans. Methods: We developed segmentation processes for four anatomical biomarkers, which were applied to a unique cohort of treatment-naive patients with IPF enrolled in the PROFILE (Prospective Observation of Fibrosis in the Lung Clinical Endpoints) study and tested against a further United Kingdom cohort. The relationships among CT biomarkers, lung function, disease progression, and mortality were assessed. Measurements and Main Results: Data from 446 PROFILE patients were analyzed. Median follow-up duration was 39.1 months (interquartile range, 18.1-66.4 mo), with a cumulative incidence of death of 277 (62.1%) over 5 years. Segmentation was successful on 97.8% of all scans, across multiple imaging vendors, at slice thicknesses of 0.5-5 mm. Of four segmentations, lung volume showed the strongest correlation with FVC (r = 0.82; P < 0.001). Lung, vascular, and fibrosis volumes were consistently associated across cohorts with differential 5-year survival, which persisted after adjustment for baseline gender, age, and physiology score. Lower lung volume (hazard ratio [HR], 0.98 [95% confidence interval (CI), 0.96-0.99]; P = 0.001), increased vascular volume (HR, 1.30 [95% CI, 1.12-1.51]; P = 0.001), and increased fibrosis volume (HR, 1.17 [95% CI, 1.12-1.22]; P < 0.001) were associated with reduced 2-year progression-free survival in the pooled PROFILE cohort. Longitudinally, decreasing lung volume (HR, 3.41 [95% CI, 1.36-8.54]; P = 0.009) and increasing fibrosis volume (HR, 2.23 [95% CI, 1.22-4.08]; P = 0.009) were associated with differen

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