Biology subjects

Peter, S.

Publications and source records attributed to Peter, S..

13 recordsLinked to original sources

bioRxiv2026

Neural graft elimination via dual safety switch compromises therapeutic recovery after stroke

Safety switch systems are increasingly incorporated into stem cell therapies to enable selective graft elimination in the event of adverse outcomes. Yet how removing transplanted cells affects the underlying pathology remains largely unexplored. Here, we show that iPSC-derived neural stem cells (NSCs) co-transduced with herpes simplex virus thymidine kinase (HSV-TK) and inducible caspase-9 (iC9) are more efficiently ablated by combined ganciclovir (GCV) and chemical inducer of dimerization (CID) treatment than either single switch alone, under both proliferating and differentiating conditions. Using bioluminescence imaging to track graft survival longitudinally, we demonstrate that dual safety switch NSC (DS-NSC) grafts are selectively eliminated by GCV and CID administration in immunodeficient mice following photothrombotic stroke. The combination treatment initiated on day 8 post-transplantation resulted in reduced graft volume, lower NSC proliferation, and persistently reduced bioluminescence signal compared to mice receiving only solvent. Histological analysis revealed that combination treatment was associated with larger stroke lesions, higher IBA1 fluorescence intensity, and reduced vascular density in the ischemic border zone. Mice receiving GCV and CID showed persistently elevated contralateral hindlimb error rates on a ladder walk task from day 28 post-stroke onward compared to solvent-treated mice. These findings demonstrate that while DS-NSC elimination is feasible, the pharmacological activation of the safety switch system is associated with impaired functional stroke recovery.

neuroscience↗

bioRxiv2026

Genomic instability and biofilm determinants in Streptococcus mutans: insights from a sequence-defined arrayed transposon library

Streptococcus mutans is a primary architect of dental caries, utilizing complex genetic networks to build resilient, acid-producing biofilms. While pooled screens (Tn-seq) have identified important fitness factors, they often fail to capture extracellular or moderate-effect determinants due to community-level masking. Therefore, to study biofilm phenotypes, we constructed a comprehensive arrayed library of 9,216 mutants and used Cartesian Pooling-Coordinate Sequencing (CP-CSeq) to establish a sequence-defined resource covering 51% of non-essential genes. By screening the entire collection in isolation, we identified several novel biofilm determinants, including the putative metal transporter SMU_635 and the glycosylation-associated protein SMU_2160. However, systematic whole-genome sequencing (WGS) of our hits revealed an interesting level of genomic instability: 25% of biofilm-defective mutants had undergone spontaneous recombination at the gtfBC locus, while 7% had lost the TnSmu1 element, an excision rate 1,000-fold higher than previously reported. While targeted mutagenesis confirmed that TnSmu1 loss does not impact biofilm integrity, the gtfBC deletions directly accounted for the most severe phenotypes, highlighting a systemic risk of misattributing gene functions to primary transposon insertions. Our findings provide a powerful new genetic resource for the S. mutans community while establishing a critical new standard: an arrayed library is only as defined as its underlying genome, making systematic genomic verification an essential prerequisite for accurate functional genomics. ImportanceStreptococcus mutans is a major human pathogen responsible for dental caries, a global public health challenge driven in part by the organisms ability to form resilient, acidogenic biofilms. While traditional pooled genetic screens have identified many fitness factors, they often fail to capture extracellular or moderate-effect determinants because neighboring healthy bacteria can mask these defects. This work provides the scientific community with a sequence-defined arrayed mutant library, an essential resource for dissecting the individual contributions of genes to biofilm integrity in isolation. Beyond identifying well-known machinery, this study uncovers novel determinants, including the putative metal transporter SMU_635 and the putative glycosylation-associated protein SMU_2160. Crucially, the discovery of pervasive genomic instability within the library, specifically at the gtfBC and TnSmu1 loci, reveals a systemic risk in functional genomics: the potential to misattribute phenotypes to primary mutations when the underlying background has undergone large-scale rearrangements. By establishing systematic whole-genome verification as a necessary standard, this research ensures that the identification of future therapeutic targets is built upon a verified genetic foundation.

microbiology↗

bioRxiv2025

Viral infection collapses intracytoplasmic membrane integrity and autotrophic metabolism in ammonia-oxidizing Nitrosomonas europaea

Ammonia-oxidizing bacteria (AOB) catalyze the first and rate-limiting step of nitrification. They are essential for nitrogen cycling in engineered and natural environments, yet little is known about their viruses or the consequences of phage infection for host physiology. Here, we report the isolation and characterization of a novel lytic bacteriophage, vB_NeuP-Nir1 (Nir1), infecting the model AOB Nitrosomonas europaea. Phage Nir1 was highly virulent, ceased ammonia oxidation within hours, and caused complete lysis of host populations even at multiplicities of infection as low as 10-6. Electron microscopy revealed drastic host cell remodeling during infection, including pronounced cell bloating and large-scale disintegration of intracytoplasmic membranes. Integrated transcriptomic and metabolomic analyses showed that loss of these ATP and reducing equivalent generating membrane systems was accompanied by signatures of compromised lipid homeostasis and collapse of autotrophic CO2 fixation. In parallel, Nir1 infection induced metabolic rewiring of the host, including upregulation of uptake systems for nucleic acids, amino acids, and small organic compounds, increased expression of iron acquisition and putative iron-dependent respiratory components, as well as accumulation of metabolites associated with membrane breakdown and stabilization of viral DNA. Together, these results provide the first detailed mechanistic insight into phage-induced host modulation in a chemolithoautotrophic nitrifier. Our study establishes the Nir1-N. europaea system as a model for investigating virus-host interactions in AOB and lays the foundation for assessing the role of phages in shaping nitrification and nitrogen cycling in engineered and natural ecosystems.

microbiology↗

bioRxiv2025

Modeling AP2M1 Developmental and Epileptic Encephalopathy in Drosophila

Genetic defects in AP2M1, which encodes the -subunit of the adaptor protein complex 2 (AP-2) essential for clathrin-mediated endocytosis (CME), cause a rare form of developmental and epileptic encephalopathy (DEE). In this study, we modeled AP2M1-DEE in Drosophila melanogaster to gain deeper insights into the underlying disease mechanisms. Pan-neuronal knock-down of the Drosophila AP2M1 ortholog, AP-2{micro}, resulted in a consistent heat-sensitive paralysis phenotype and altered morphology in class IV dendritic arborization (c4da) neurons. Unexpectedly, affected flies were resistant to antiseizure medications and exhibited increased resistance to electrically induced seizures. A CRISPR-engineered fly line carrying the recurrent human disease variant p.Arg170Trp displayed a milder seizure resistance phenotype. While these findings contrast with the human phenotype, they align with previous studies on other CME-related genes in Drosophila. Our results suggest that hyperexcitability and seizures in AP2M1-DEE may stem from broader defects in neuronal development rather than direct synaptic dysfunction.

neuroscience↗

bioRxiv2024

Comprehensive Analysis of Human Dendritic Spine Morphology and Density: Exploring Diversity of Human Dendritic Spines

Dendritic spines, small protrusions on neuronal dendrites, play a crucial role in brain function by changing shape and size in response to neural activity. So far, in depth analysis of dendritic spines in human brain tissue is lacking. This study presents a comprehensive analysis of human dendritic spine morphology and density using a unique dataset from human brain tissue from 27 patients (8 females, 19 males, aged 18-71) undergoing tumor or epilepsy surgery at three neurosurgery sites. We used acute slices and organotypic brain slice cultures to examine dendritic spines, classifying them into the three main morphological subtypes: Mushroom, Thin, and Stubby, via 3D reconstruction using ZEISS arivis Pro software. A deep learning model, trained on 39 diverse datasets, automated spine segmentation and 3D reconstruction, achieving a 74% F1-score and reducing processing time by over 50%. We show significant differences in spine density by sex, dendrite type, and tissue condition. Females had higher spine densities than males, and apical dendrites were denser in spines than basal ones. Acute tissue showed higher spine densities compared to cultured human brain tissue. With time in culture, Mushroom spines decreased, while Stubby and Thin spine percentages increased, particularly from 7-9 to 14 days in vitro, reflecting potential synaptic plasticity changes. Our study underscores the importance of using human brain tissue to understand unique synaptic properties and shows that integrating deep learning with traditional methods enables efficient large-scale analysis, revealing key insights into sex- and tissue-specific dendritic spine dynamics relevant to neurological diseases. New and NoteworthyThis study presents a dataset of nearly 4,000 morphologically reconstructed human dendritic spines across different ages, gender, and tissue conditions. The dataset was further used to evaluate a deep learning algorithm for three-dimensional spine reconstruction, offering a scalable method for semi-automated spine analysis across various tissues and microscopy setups. The findings enhance understanding of human neurology, indicating potential connections between spine morphology, brain function, and the mechanisms of neurological and psychiatric diseases.

neuroscience↗

bioRxiv2023

Expanding the DNA editing toolbox: novel lambda integrase variants targeting microalgal and human genome sequences.

Recombinase enzymes are extremely efficient at integrating very large DNA fragments into target genomes. However, intrinsic sequence specificities curtail their use to DNA sequences with sufficient homology to endogenous target motifs. Extensive engineering is therefore required to broaden applicability and robustness. Here, we describe the directed evolution of novel lambda integrase variants capable of editing exogenous target sequences identified in the diatom Phaeodactylum tricornutum and the algae Nannochloropsis oceanica. These microorganisms hold great promise as conduits for green biomanufacturing and carbon sequestration. The evolved enzyme variants show >1000-fold switch in specificity towards the non-natural target sites when assayed in vitro. A single-copy target motif in the human genome with homology to the Nannochloropsis oceanica site can also be efficiently targeted using an engineered integrase, both in vitro and in human cells. The developed integrase variants represent useful additions to the DNA editing toolbox, with particular application for targeted genomic insertion of large DNA cargos.

bioengineering↗

bioRxiv2023

Novel Biomarkers and Distinct Transcriptomic Profile of Barrett's Esophagus Epithelial Stem Cells

Barretts esophagus, a metaplastic condition that originates in the distal esophagus, is the only known precursor lesion for the development of esophageal adenocarcinoma, which has a devasting 5-year survival rate of <20%. The large number of subjects diagnosed with Barretts esophagus, and therefore at higher risk for esophageal adenocarcinoma, underscores the necessity for biomarkers that would benefit surveillance and potentially early treatment. To address this, we generated epithelial stem cell organoids from normal gastric cardia, non-dysplastic and dysplastic Barretts esophagus, and esophageal and gastric adenocarcinoma. Interestingly, non-dysplastic and dysplastic Barretts esophagus displayed higher expression of multiple archetypical cancer-associated genes compared with both esophageal and gastric adenocarcinoma in addition to expression of the novel biomarker CT83. ST6GAL1, a Golgi sialyltransferase upregulated in multiple epithelioid cancers, was strongly upregulated in dysplastic Barretts esophagus at both mRNA and protein levels. ST6GAL1 protein also was highly expressed in esophageal adenocarcinoma, suggesting that regulation of ST6GAL1 may play a role in Barretts esophagus progression to esophageal adenocarcinoma and serve as a potential biomarker of the development of esophageal cancer.

cancer biology↗

bioRxiv2023

Purine nucleotide limitation undermines antibiotic action in clinical Escherichia coli

Metabolic variation across pathogenic bacterial strains can impact their susceptibility to antibiotics1-4 and promote evolution of antimicrobial resistance (AMR)5,6. However, little is known about which metabolic pathways contribute to AMR, and the underlying mechanisms. Here, we measured antibiotic resistance of 15,120 Escherichia coli mutants, each with a single amino acid change in one of 346 essential proteins. Most of the mutant strains that showed resistance to either of the two tested antibiotics carried mutations in metabolic genes. Resistance mutations against a {beta}-lactam antibiotic (carbenicillin) were associated with purine nucleotide biosynthesis and limited the supply of ATP. We show that ATP limitation confers both resistance and tolerance against {beta}-lactam antibiotics by upregulating the purine nucleoside transporter PunC. These results are clinically relevant, because an E. coli strain isolated from a clinical specimen had a purine nucleotide limitation, which reduced its susceptibility to antibiotics.

microbiology↗

bioRxiv2020

Landscape management for grassland multifunctionality

Land-use intensification has contrasting effects on different ecosystem services, often leading to land-use conflicts. While multiple studies have demonstrated how landscape-scale strategies can minimise the trade-off between agricultural production and biodiversity conservation, little is known about which land-use strategies maximise the landscape-level supply of multiple ecosystem services (landscape multifunctionality), a common goal of stakeholder communities. We combine comprehensive data collected from 150 German grassland sites with a simulation approach to identify landscape compositions, with differing proportions of low-, medium-, and high-intensity grasslands, that minimise trade-offs between the six main grassland ecosystem services prioritised by local stakeholders: biodiversity conservation, aesthetic value, productivity, carbon storage, foraging, and regional identity. Results are made accessible through an online tool that provides information on which compositions best meet any combination of user-defined priorities (https://neyret.shinyapps.io/landscape_composition_for_multifunctionality/). Results show that an optimal landscape composition can be identified for any pattern of ecosystem service priorities. However, multifunctionality was similar and low for all landscape compositions in cases where there are strong trade-offs between services (e.g. aesthetic value and fodder production), where many services were prioritised, and where drivers other than land use played an important role. We also found that if moderate service levels are deemed acceptable, then strategies in which both high and low intensity grasslands are present can deliver landscape multifunctionality. The tool presented can aid informed decision-making by predicting the impact of future changes in landscape composition, and by allowing for the relative roles of stakeholder priorities and biophysical trade-offs to be understood by scientists and practitioners alike. HighlightsO_LIAn online tool identifies optimal landscape compositions for desired ecosystem services C_LIO_LIWhen the desired services are synergic, the optimum is their common best landscape composition C_LIO_LIWhen the desired services trade-off, a mix of grassland intensity is most multifunctional C_LIO_LISuch tools could support decision-making processes and aid conflict resolution C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/208199v5_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@3273f6org.highwire.dtl.DTLVardef@5b3a5aorg.highwire.dtl.DTLVardef@153f526org.highwire.dtl.DTLVardef@103cbea_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗

bioRxiv2019

Human gut mobileome during antibiotic therapy. A trajectory-based approach to analysis of the metagenomic time-series datasets

MotivationAntibiotic resistance is widely recognized as a severe threat to current medical practice. Each antibiotic therapy drives the emergence and subsequent retention of antibiotics resistance genes within the human gut microbiome. However, the details on how the resistance spreads between bacteria within the human gut remain unknown, as does the role of horizontal gene transfer in this process, too.\n\nResultsWe present a novel approach to the analysis of time-series whole-genome metagenomic sequencing data. This involves partitioning the scaffolds from the metagenomic assembly into groups corresponding to bacterial chromosomes, plasmids and those with prophages and transposons. Using specialized sequencing of the bacteriophages we were able to track the flow of ciprofloxacin resistance genes from bacterial chromosomes, through the plasmids, to prophages and phages.\n\nContactanna.gorska@univr.it.

bioinformatics↗

bioRxiv2019

Tracking of antibiotic resistance transfer and rapid plasmid evolution in a hospital setting by Nanopore sequencing

BackgroundInfection of patients with multidrug-resistant (MDR) bacteria often leave very limited or no treatment options. The transfer of antimicrobial resistance genes (ARG) carrying plasmids between bacterial species by horizontal gene transfer represents an important mode of expansion of ARGs. Here, we evaluated the application of Nanopore sequencing technology in a hospital setting for monitoring the transfer and rapid evolution of antibiotic resistance plasmids within and across multiple species.\n\nResultsIn 2009 we experienced an outbreak with an extensively multidrug resistant P. aeruginosa harboring the carbapenemase enzyme blaIMP-8, and in 2012 the first Citrobacter freundii and Citrobacter werkmanii harboring the same enzyme were detected. Using Nanopore and Illumina sequencing we conducted a comparative analysis of all blaIMP-8 bacteria isolated in our hospital over a 6-year period (n = 54). We developed the computational platforms pathoLogic and plasmIDent for Nanopore-based characterization of clinical isolates and monitoring of ARG transfer, comprising de-novo assembly of genomes and plasmids, polishing, QC, plasmid circularization, ARG annotation, comparative genome analysis of multiple isolates and visualization of results. Using plasmIDent we identified a 40 kb plasmid carrying blaIMP-8 in P. aeruginosa and C. freundii, verifying that plasmid transfer had occurred. Within C. freundii the plasmid underwent further evolution and plasmid fusion, resulting in a 164 kb mega-plasmid, which was transferred to C. werkmanii. Moreover, multiple rearrangements of the multidrug resistance gene cassette were detected in P. aeruginosa, including deletions and translocations of complete ARGs.\n\nConclusionPlasmid transfer, plasmid fusion and rearrangement of the multidrug resistance gene cassette mediated the rapid evolution of opportunistic pathogens in our hospital. We demonstrated the feasibility of tracking plasmid evolution dynamics and ARG transfer in clinical settings in a timely manner. The approach will allow for successful countermeasures to contain not only clonal, but also plasmid mediated outbreaks.

genomics↗

bioRxiv2018

Multi-omics approach identifies novel pathogen-derived prognostic biomarkers in patients with Pseudomonas aeruginosa bloodstream infection

Pseudomonas aeruginosa is a human pathogen that causes health-care associated blood stream infections (BSI). Although P. aeruginosa BSI are associated with high mortality rates, the clinical relevance of pathogen-derived prognostic biomarker to identify patients at risk for unfavorable outcome remains largely unexplored. We found novel pathogen-derived prognostic biomarker candidates by applying a multi-omics approach on a multicenter sepsis patient cohort. Multi-level Cox regression was used to investigate the relation between patient characteristics and pathogen features (2298 accessory genes, 1078 core protein levels, 107 parsimony-informative variations in reported virulence factors) with 30-day mortality. Our analysis revealed that presence of the helP gene encoding a putative DEAD-box helicase was independently associated with a fatal outcome (hazard ratio 2.01, p = 0.05). helP is located within a region related to the pathogenicity island PAPI-1 in close proximity to a pil gene cluster, which has been associated with horizontal gene transfer. Besides helP, elevated protein levels of the bacterial flagellum protein FliL (hazard ratio 3.44, p < 0.001) and of a bacterioferritin-like protein (hazard ratio 1.74, p = 0.003) increased the risk of death, while high protein levels of a putative aminotransferase were associated with an improved outcome (hazard ratio 0.12, p < 0.001). The prognostic potential of biomarker candidates and clinical factors was confirmed with different machine learning approaches using training and hold-out datasets. The helP genotype appeared the most attractive biomarker for clinical risk stratification due to its relevant predictive power and ease of detection.

microbiology↗

bioRxiv2016

Rapid and consistent evolution of colistin resistance in Pseudomonas aeruginosa during morbidostat culture

Colistin is a last resort antibiotic commonly used against multidrug-resistant strains of Pseudomonas aeruginosa. To investigate the potential for in-situ evolution of resistance against colistin and map the molecular targets of colistin resistance, we exposed two P. aeruginosa isolates to colistin using a continuous culture device known as morbidostat. Colistin resistance emerged within two weeks along with highly stereotypic yet strain specific mutation patterns. The majority of mutations hit the prmAB two component signaling system and genes involved in lipopolysaccharide synthesis, including lpxC, pmrE, and migA. In seven out of 18 cultures, we observed mutations in mutS along with a mutator phenotype that seemed to facilitate resistance evolution.

microbiology↗