Biology subjects

Rosenberg, G.

Publications and source records attributed to Rosenberg, G..

7 recordsLinked to original sources

bioRxiv2026

Visualizing micro- nanoplastics in the human brain: Early evidence for roles in microvascular pathology

Our environment has become progressively contaminated with non-biological materials, especially synthetic carbon polymers, plastics. Unsurprisingly some of these make it into the human body as detected by chemical analyses, yet it is unknown whether they cause harm or are innocent bystanders. Building on our observations of glossy deposits and unusual non-biological fluorescent particles in blood vessels, we aimed to determine whether these objects represented plastics. To do this we prepared plastics-enriched pellets from brain and subjected them to pyrolysis gas-chromatography/mass spectroscopy (py-GC/MS), electron microscopy and confocal laser scanning microscopy. Py-GC/MS confirmed the presence of 10 different plastics. Contents of pellets were examined by thin-section EM. We then used laser scanning confocal microscopy to acquire hyperspectral profiles of each type of plastic in suspensions. We found fluorescent particles in all pellets from brains. All 12 plastics in the calibration standard fluoresced. We obtained hyperspectral profiles of single species plastics from industry: Polyethylene, polypropylene and polystyrene. Controls included chemical analysis of brain storage buffer, which had no detectable plastics; and imaging water only and areas on slides lacking tissue. Abundant particles with emission profiles similar to polyethylene and polypropylene decorated the walls of both arterioles and venules. These particles were coincident with glossy deposits we first observed in white matter, suggesting that both features represent plastics. In summary our results demonstrate that synthetic polymers exhibit detectable fluorescence, and particles with similar spectral properties are visible in histologic sections. This opens the door to investigating correlations between plastics and pathology.

pathology↗

bioRxiv2026

Monitoring intracellular antibiotic concentrations in real-time using allosteric biosensors

Antibiotic treatment can fail due to insufficient drug availability at the site of infection or limited accumulation within bacterial pathogens. However, it is poorly understood how antibiotics penetrate infected tissues and complex bacterial aggregates, limiting insights into the mechanisms of treatment failure. Here, we present genetically-encoded allosteric biosensors for two antibiotic classes, trimethoprim and tetracycline, which enable real-time monitoring of antibiotic concentrations inside bacterial cells. The biosensors consist of circularly permuted EGFP linked to the sensory domains DHFR or TetR. To extend this approach to low oxygen environments, we engineered an oxygen-independent trimethoprim biosensor by fusing DHFR to a circularly permuted version of the fluorogenic protein FAST. Using these biosensors, we monitored the antibiotic exposure dynamics of intracellular Salmonella enterica during macrophage infection at the single-cell level, and antibiotic penetration into anaerobic regions of Vibrio cholerae biofilms, as well as antibiotic availability in microoxic conditions in a human bladder tissue model infected with uropathogenic Escherichia coli. These fluorescent biosensors have the potential to be broadly applied for determining antibiotic distributions at infection sites with high spatial and temporal resolution.

microbiology↗

bioRxiv2025

Quantifying Population Reversibility of Sensor Performance inMulti-Cycle Single-Sensor Recovery Assay

Quantitative chemical imaging requires sensors that reliably recover across repeated exposures. While solution-phase bulk measurements provide an averaged response of the sensor population, imaging at the single-sensor level enables mapping of biological processes with spatiotemporal resolution, revealing localized events and interaction sites. To translate such imaging into calibrated measurements, sensor variability under repeated analyte exposures must be analyzed. This work introduces a generic workflow that combines an automated microfluidic flow imaging platform with systematic characterization of the response, recovery, and reversibility of individual nanosensors across multi-cycle challenges. For representative implementation, three near-infrared fluorescent single-walled carbon nanotube (SWCNT) sensor models are tested, each with a distinct functionalization rendering it optically responsive to a corresponding exemplar target: dopamine, thiocholine, or serotonin. While first-cycle responses averaged over the entire field of view recapitulate ensemble calibration, single-sensor analysis uncovers broad heterogeneity in response magnitude, signal recovery, and reversibility across hundreds of individual SWCNTs under repeated exposure and wash cycles. To compare performance across cycles, a standardized Population Reversibility Score based on Kullback-Leibler Divergence is introduced, condensing response distributions into a single cycle- and concentration-dependent, quantitative metric. This framework is generally applicable to other sensor-analyte systems with transient readouts, guiding optimization for spatiotemporal analyte mapping.

bioengineering↗

bioRxiv2022

Paired single-cell host profiling with multiplex-tagged bacterial mutants reveals intracellular virulence-immune networks

Encounters between host cells and intracellular bacterial pathogens lead to complex phenotypes that determine the outcome of infection. Single-cell RNA-sequencing (scRNA-seq) are increasingly used to study the host factors underlying diverse cellular phenotypes. But current approaches do not permit the simultaneous unbiased study of both host and bacterial factors during infection. Here, we developed scPAIR-seq, an approach to analyze both host and pathogen factors during infection by combining multiplex-tagged mutant bacterial library with scRNA-seq to identify mutant-specific changes in host transcriptomes. We applied scPAIR-seq to macrophages infected with a library of Salmonella Typhimurium secretion system effector mutants. We developed a pipeline to independently analyze redundancy between effectors and mutant-specific unique fingerprints, and mapped the global virulence network of each individual effector by its impact on host immune pathways. ScPAIR-seq is a powerful tool to untangle bacterial virulence strategies and their complex interplay with host defense strategies that drive infection outcome.

microbiology↗

bioRxiv2022

Bacterial lifestyle switch in response to algal metabolites

Unicellular algae, termed phytoplankton, greatly impact the marine environment by serving as the basis of marine food webs and by playing central roles in biogeochemical cycling of elements. The interactions between phytoplankton and heterotrophic bacteria affect the fitness of both partners. It is becoming increasingly recognized that metabolic exchange determines the nature of such interactions, but the underlying molecular mechanisms remain underexplored. Here, we investigated the molecular and metabolic basis for the bacterial lifestyle switch, from coexistence to pathogenicity, in Sulfitobacter D7 during its interaction with Emiliania huxleyi, a cosmopolitan bloom-forming phytoplankter. To unravel the bacterial lifestyle switch, we profiled bacterial transcriptomes in response to infochemicals derived from algae in exponential and stationary growth, which induced the Sulfitobacter D7 coexistence and pathogenicity lifestyles, respectively. We found that algal dimethylsulfoniopropionate (DMSP) was a pivotal signaling molecule that mediated the transition between the lifestyles. However, the coexisting and pathogenic lifestyles were evident only in the presence of additional algal metabolites. In the pathogenic mode, Sulfitobacter D7 upregulated flagellar motility and many transport systems, presumably to maximize assimilation of E. huxleyi-derived metabolites released by algal cells upon cell death. Specifically, we discovered that algae-produced benzoate promoted the growth of Sulfitobacter D7, and negated the DMSP-inducing lifestyle switch to pathogenicity, demonstrating that benzoate is important for maintaining the coexistence of algae and bacteria. We propose that bacteria can sense the physiological status of the algal host through changes in the metabolic composition, which will determine the bacterial lifestyle during the interactions. Significance StatementMicroorganisms in the marine environment play crucial roles in the regulation of Earths climate and elemental cycling. Understanding microbial interactions and the metabolic exchange that drives them is necessary for disentangling the complexity of the marine ecosystem. Here we demonstrate how the opportunistic pathogen Sulfitobacter D7 switches its lifestyle from coexistence to pathogenicity in response to metabolites released by Emiliania huxleyi, a bloom-forming unicellular alga. By mapping bacterial transcriptional profiles, we show that the algal metabolite dimethylsulfoniopropionate (DMSP), an important signaling molecule in the marine environment, is essential for the bacterial lifestyle switch. However, the activity of DMSP depended on additional algal signals. This work emphasizes how metabolic crosstalk can influence the nature and fate of microbial interactions, which have cascading effects on large-scale oceanic processes.

microbiology↗

bioRxiv2021

scRNA-seq Reveals A Macrophage Subset That Provides A Splenic Replication Niche For Intracellular Salmonella

Interactions between intracellular bacteria and mononuclear phagocytes give rise to diverse cellular phenotypes that may determine the outcome of infection. Recent advances in single cell RNA-seq (scRNA-seq) have identified multiple subsets within the mononuclear population defined by unique molecular features, but the implications to their function during infection is unknown. Here, we applied high resolution kinetic analysis using microscopy, flow cytometry and scRNA-seq to survey the mononuclear niche of intracellular Salmonella Typhimurium (S.Tm) during early systemic infection in mice. We describe an eclipse like growth kinetics in the spleen, with a first phase of bacterial control mediated by tissue resident red pulp macrophages. A second phase involved bacterial growth mediated by intracellular replication within a macrophage population we termed CD9 macrophages, that originate from non-classical monocytes. Nr4a1e2-/- mice, specifically depleted of non-classical monocytes but not other mononuclear cells, are more resistant to S.Tm infection. Our study underscores a cell-type specific host-pathogen interaction that determines early infection growth dynamics and has implications to the infection outcome of the entire organism.

immunology↗

bioRxiv2018

A matrix protein acts as a cue to preserve collective motility of B. subtilis biofilm cells

Bacteria in nature are usually found in complex multicellular communities, termed biofilms. Biofilms are generally seen as sessile structures, resulting from downregulation of motility. However, during interspecies competition and predation, biofilm cells were shown to migrate towards competitor colonies. Here, we show that a specific extracellular matrix (ECM) protein, TasA, is essential for collective migration toward potential competitors and serves as a developmental cue that increases the formation of motile offspring from sessile chains. We reveal an effective strategy to maintain migration capacities in bacterial biofilms: besides providing a three-dimensional adhesive scaffold for the cells, TasA acts as a signal within the bacterial community.

microbiology↗