Biology subjects

Levy, C.

Publications and source records attributed to Levy, C..

8 recordsLinked to original sources

bioRxiv2026

Quantifying the mechanisms of vaccine-induced serotype replacement in Streptococcus pneumoniae using genome-informed modelling

Streptococcus pneumoniae is a colonizer of the childs nasopharynx and a leading cause of invasive pneumococcal disease (IPD). Despite widespread use of pneumococcal conjugate vaccines, recent rebounds in IPD incidence have coincided with serotype replacement. Whether this phenomenon is driven by the replacement of serotypes within lineages or the replacement of the lineages themselves is unclear. Here, we quantified the relative contribution of these two mechanisms to serotype replacement in carriage and their consequences for IPD. We combined nationwide longitudinal surveillance of carriage and IPD in children from 2002 to 2023 with whole-genome sequencing. Observed lineage-specific carriage rates across PCV-related periods were fitted with polynomial logistic regression and compared with two counterfactual scenarios, each isolating one mechanism with: (i) fixed serotype composition within varying lineages and (ii) serotype shifts within fixed lineage carriage rates over time. Carriage dynamics were consistent with an 82% contribution of serotype shifts within persistent lineages. Estimates of serotype-specific IPD incidence derived from this predominant scenario correlated with observed IPD trends. These findings quantify the dominant role of serotype replacement within persistent lineages, disentangling the vaccine-driven adaptive history of S. pneumoniae.

microbiology↗

bioRxiv2026

A de novo CO2 Reductase Featuring a Cysteine-Ligated Cobalt Porphyrin Cofactor

Modern protein design methods based on deep learning allow generation of customized protein scaffolds with diverse geometries and functionalities. Here, we capitalize on these recent advances to develop hyper-thermostable de novo CO2 reductases featuring a cobalt porphyrin IX cofactor (CoPPIX). CoPPIX containing enzymes were assembled in vivo through media supplementation with cobalt salts and assessed for photocatalytic CO2 reductase activity. We identified two cysteine-ligated designs that exhibit high activity (>1000 turnovers at rates of up to 25 min-1) while suppressing competing hydrogen evolution pathways. A 2.1 [A] crystal structure shows close agreement to the design model with the Co-Cys bond programmed as intended. This study showcases the power of computational protein design in developing artificial enzymes to activate challenging molecules such as CO2.

biochemistry↗

bioRxiv2025

Decoy Antibodies Block Extracellular HSP70, Prevent Self Signaling and Inhibit Melanoma Cell Survival

Melanoma cells actively secrete melanosomes-large, extracellular vesicles (EVs) enriched with oncogenic factors that reprogram the tumor microenvironment, enhance self-signaling, and promote tumor growth. Despite their abundance and immunogenic potential, humoral responses to melanoma-derived melanosomes remain unexplored. Here, we identify a novel immune surveillance mechanism in which melanosome-elicited decoy antibodies target melanoma-derived melanosomes by binding to the extracellular form of heat shock protein 70 (HSP70), a chaperone broadly implicated in cancer cell survival and stress adaptation. Anti-HSP70 decoy antibodies potently and effector-independently inhibit growth and survival of both murine and human melanoma cells and suppress key transcriptional programs involved in proliferation, cytoskeletal dynamics, and metabolism. In a preclinical B16 melanoma model, prophylactic administration of decoy monoclonal antibodies Mel322-34 and Mel321-35 conferred significant survival benefits of 27% and 48%, respectively. Strikingly, anti-HSP70 antibodies were enriched in the sera of melanoma patients achieving complete responses to immune checkpoint blockade, in contrast to non-responders with progressive disease. Collectively, our findings uncover a novel EV-antibody axis as a promising avenue to block cancer-promoting signaling pathways. Decoy autoantibodies targeting the extracellular form of HSP70 advance the understanding of tumor-intrinsic vulnerability and promote biomarker-driven immunotherapy in melanoma.

immunology↗

bioRxiv2024

Fragment-based development of small molecule inhibitors targeting Mycobacterium tuberculosis cholesterol metabolism

Mycobacterium tuberculosis (Mtb) is the worlds most deadly infectious pathogen and new drugs are urgently required to combat the emergence of multi-(MDR) and extensively-(XDR) drug resistant strains. The bacterium specifically upregulates sterol uptake pathways in infected macrophages and the metabolism of host-derived cholesterol is essential for Mtbs long-term survival in vivo. Here, we report the development of antitubercular small molecules that inhibit the Mtb cholesterol oxidases CYP125 and CYP142, which catalyze the initial step of cholesterol metabolism. An efficient biophysical fragment screen was used to characterize the structure-activity relationships of CYP125 and CYP142, and identify a non-azole small molecule 1a that can bind to the heme cofactor of both enzymes. A structure-guided fragment-linking strategy was used to optimize the binding affinity of 1a, yielding a potent dual CYP125/142 inhibitor 5m (KD CYP125/CYP142 = 0.04/0.16 {micro}M). Compound 5m potently inhibits the catalytic activity of CYP125 and CYP142 in vitro (KI values < 0.1 {micro}M), and rapidly depletes Mtb intracellular ATP (IC50 = 0.15 {micro}M). The compound has antimicrobial activity against both drug susceptible and MDR Mtb (MIC99 values 0.4 - 1.5 {micro}M) in extracellular assays, and inhibits the growth of Mtb in human macrophages (MIC = 1.7 {micro}M) with good selectivity over mammalian cytotoxicity (LD50 [≥] 50 {micro}M). The combination of small molecule inhibitors and structural data reported here provide useful tools to study the role of cholesterol metabolism in Mtb and are a promising step towards novel antibiotics targeting bioenergetic pathways, which could be used to help combat MDR-TB.

pharmacology and toxicology↗

bioRxiv2024

Computational Microbiome Pharmacology Analysis Elucidates the Anti-Cancer Potential of Vaginal Microbes and Metabolites

The vaginal microbiomes role in risk, progression, and treatment of female cancers has been widely explored. Yet, there remains a need to develop methods to understand the interaction of microbiome factors with host cells and to characterize their potential therapeutic functions. To address this challenge, we developed a systems biology framework we term the Pharmacobiome for microbiome pharmacology analysis. The Pharmacobiome framework evaluates similarities between microbes and microbial byproducts and known drugs based on their impact on host transcriptomic cellular signatures. Here, we apply our framework to characterization of the Anti-Gynecologic Cancer Vaginal Pharmacobiome. Using published vaginal microbiome multi-omics data from the Partners PrEP clinical trial, we constructed vaginal epithelial gene signatures associated with each profiled vaginal microbe and metabolite. We compared these microbiome-associated host gene signatures to post-drug perturbation host gene signatures associated with 35 FDA-approved anti-cancer drugs from the Library of Integrated Network-based Cellular Signatures database to identify vaginal microbes and metabolites with high statistical and functional similarity to these drugs. We found that Lactobacilli and their metabolites can regulate host gene expression in ways similar to many anti-cancer drugs. Additionally, we experimentally tested our model prediction that taurine, a metabolite produced by L. crispatus, kills cancerous breast and endometrial cancer cells. Our study shows that the Pharmacobiome is a powerful framework for characterizing the anti-cancer therapeutic potential of vaginal microbiome factors with generalizability to other cancers, microbiomes, and diseases.

systems biology↗

bioRxiv2023

Binary classification machine-learning Unveils Sex-Dependent mutated gene Signatures in Melanoma

There are significant differences in the prevalence of cancer type, primary tumor body site, and mutation load between men and women, but the mechanisms underlying these sex-dependent differences is mostly unknown. Here we used binary classification machine-learning methodology to study sex-correlated somatic mutations signatures in cutaneous melanoma. We identified a number of genes that are more frequently mutated in females compared to males. Mutations in two genes, LAMA2 and TPTE, together with a set of specific genes that are not mutated, can predict sex of melanoma patients. Over representation analysis of genes clustered with LAMA2 revealed significant enrichment in androgen and estrogen biosynthesis and metabolism pathways, suggesting that mutation of LAMA2 might be involved in biased sex hormone synthesis in melanoma. Taken together, our analysis shows that gender can be predicted based on mutation status of genes in melanoma and that certain mutations are predictive of survival beyond sex differences. Our results will lead to better diagnosis and more effective personalized treatment of melanoma. SummaryIt was observed that between men and women there is a significant difference in the prevalence of cancer type, the primary tumor body site, and the number of mutations found in a given tumor type. However, the mechanisms behind these gender differences are mostly unknown. To investigate sex corelated somatic mutation signatures in cutaneous melanoma we used binary classification machine-learning methodology. We identified specific genes that are more frequently mutated in females compared to males, including LAMA2 and TPTE, which are predictive of gender. We also found a significant enrichment in androgen and estrogen biosynthesis and metabolism pathways clustered with LAMA2, suggesting that mutation of LAMA2 might be involved in biased sex hormone synthesis in melanoma. We showed that gender can be predicted based on mutation status of genes in melanoma and that certain mutations are predictive of survival. Our findings could lead to better diagnosis and more effective personalized treatment of melanoma.

bioinformatics↗

bioRxiv2019

How the dual PDZ domain from Postsynaptic density protein 95 clusters ion channels and receptors.

PSD-95 is a member of Membrane Associated Guanylate Kinase class of proteins which form scaffolding interactions with partner proteins including ion and receptor channels. PSD-95 is directly implicated in modulating the electrical responses of excitable cells. The first two PSD-95/Disks Large/Zona Occludens domains of PSD-95 have been shown to be the key component in the formation of channel clusters. We report crystal structures of the dual domain in both in apo and ligand-bound form; thermodynamic analysis of ligand association and Small Angle X-ray Scattering of the dual domain in the absence and presence of ligands. These experiments reveal that the ligated double domain forms a scaffold in the complete sense of the word. The concentration of the components in this study is comparable to those found in compartments of excitable cells such as the postsynaptic density and juxta-paranodes of Ranvier. The properties of the dual domain explain the basis of the scaffolding function of PSD-95, and provide a more detailed understanding of the integration of key components of neuronal specializations involved in nervous signal transmission.

biophysics↗

bioRxiv2017

OCT4 Impedes Cell Fate Redirection By The Melanocyte Lineage Master Regulator MITF

Ectopic expression of lineage master regulators induces transdifferentiation. Whether cell fate transitions can be induced during various developmental stages has never been systemically examined. Here we discovered that amongst different developmental stages, embryonic stem cells (ESCs) were resistant to cell fate conversion induced by the melanocyte lineage master regulator MITF. We generated a transgenic system and found that in ESCs, the pluripotency master regulator, OCT4, counteracts pro-differentiation induced by MITF by physical interference with MITF transcriptional activity. We further found that ESCs must be released from OCT4-maintained pluripotency prior to ectopically induced differentiation. Moreover, OCT4 induction in various differentiated cells repressed their lineage identity in vivo. Alongside, chromatin architecture combined with ChIP-seq analysis suggested that OCT4 competes with various lineage master regulators for binding promoters and enhancers. Our analysis reveals pluripotency and transdifferentiation regulatory principles and could open new opportunities in the field of regenerative medicine.

developmental biology↗