Biology subjects

Bradley, J.

Publications and source records attributed to Bradley, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Streamlined Production of Recombinant Adeno-Associated Viruses Using Gateway Cloning Technology for Neural Circuit All-Optical Interrogation

The advent of optogenetics and the rapid development of genetically encoded actuators and reporters for calcium, voltage, neurotransmitters, and other molecules have revolutionized neuroscience research by enabling precise, non-invasive optical interrogation of neural circuits. Successful implementation, however, critically depends on efficient reporter expression in defined neuronal populations. We present a Gateway(R)-based cloning platform providing a robust pipeline for rapid, efficient construction of recombinant adeno-associated virus (rAAV) vectors optimized for neuroscience applications. This platform addresses promoter selection, indicator engineering, and capsid-type optimization, and enables systematic optimization of vector components across a range of optical tools. The benefit of this modular approach is illustrated in the case of ULoVE, a two-photon microscopy method based on acousto-optic deflectors (AODs). This method provides serial light-targeting with kHz sampling rates and high signal-to-noise ratio in vivo, which imposes stringent requirements on indicator expression -- including cell-type specificity, sparse labelling, and precise control of expression levels-- efficiently met through the combinatorial flexibility of the Gateway pipeline. As specific examples, Gateway-constructed Cre-driver viruses combined with Cre-dependent reporters enabled cell-type-specific labelling for two complementary applications. In cerebellar Purkinje cells, an L7::Cre driver virus paired with a Gateway-constructed voltage indicator (JEDI2P-Kv) and ULoVE two-photon excitation at ~5 kHz enables resolution of sub-millisecond dendritic voltage dynamics in awake, behaving mice, including optical detection of dendritic spikelets previously accessible only via intracellular electrophysiology. The same driver virus paired with calcium indicators (GCaMP6f, jRGECO1a) resolves climbing fiber-evoked calcium kinetics under the same conditions. In acute cerebellar slices, a kit::Cre driver virus enabled cell-type-specific expression of the optogenetic actuator ChR2(H134R) in molecular layer interneurons, where ULoVE doughnut-pattern photostimulation achieved single-cell, sub-millisecond optogenetic activation with micron-scale spatial resolution. Beyond ULoVE applications, the same sparse, strong labelling also proved suitable for anatomical tracing of axonal projections in cleared cerebellar tissue, resolving individual DCN axon terminals at the granule cell layer --molecular layer boundary. Taken together, our dual-front approach --combining a modular AAV expression pipeline with AOD-based optical acquisition --provides an integrated platform for developing sophisticated optical tools, including but not limited to AOD-based microscopy, for neural circuit interrogation.

neuroscience↗

bioRxiv2026

A red-emitting, genetically encoded indicator for two-photon voltage recording in vivo

Genetically encoded voltage indicators (GEVIs) enable minimally invasive, cell-type-specific optical measurements of neuronal membrane potential with millisecond temporal resolution. Red-shifted GEVIs are especially advantageous because they permit spectral multiplexing with complementary sensors and enable all-optical circuit interrogation in combination with blue-light-activated opsins. Despite these advantages, existing red GEVIs remain poorly suited for in vivo use due to limited performance under two-photon (2P) excitation, the predominant modality for deep-tissue imaging. Here, we introduce VADER1, a red GEVI that overcomes this limitation and enables reliable spike detection in vivo under 2P illumination. Under 2P excitation, VADER1 supports extended voltage imaging with both random-access and resonant-scanning microscopy, enables recordings from neurons as deep as cortical layer 5, and allows dual-color imaging with calcium indicators. By filling a critical spectral gap, VADER1 enables integrated optical measurements of fast electrical activity alongside other neural signals and establishes a foundation for two-photon all-optical electrophysiology.

neuroscience↗

bioRxiv2026

Mitigation of imprinted antibody responses in elderly COVID-19 highly vaccinated individuals

SARS-CoV-2 continues to evolve from the Omicron serotype, with BA.2.86 sublineage JN.1 and descendants predominating in 2025-26 and recent emergence of the highly divergent BA.3.2 saltation variant. Elderly individuals continue to be at greatest risk of clinical complications from COVID-19, yet contemporary data on kinetics of immune potency and breadth following multiple vaccinations remain limited in this group. We studied a cohort of forty-three healthy older adults (median age = 85 years, IQR 75-88, 40% female). Using both pseudotyped virus (PVNT) and surrogate virus (SVNT) neutralization-based assays, we demonstrate that JN.1 and KP.2 vaccinations six months apart elicit high potency neutralization across all studied variants except BA.3.2.2, where titres were around 2-3 fold lower. Waning of serum neutralizing activity was modest between vaccine doses, suggesting sustained immunity following multiple vaccines. Importantly, the half-life of serum neutralization against Wu-1 (179 days) was substantially longer compared to JN.1 subvariants (43.7-70.1days), consistent with imprinted and longer-lived Wu-1-specific responses. Furthermore, half-life for BA.3.2.2 neutralisation was prolonged at 107 days compared to JN.1 subvariants, implicating imprinted ancestral variant targeting antibodies in neutralization of this saltation variant. While absolute neutralization titers remained highest against ancestral Wu-1 at all timepoints due to multiple historical exposures and accumulation, the recall responses after the recent KP.2 vaccine revealed a shift in immunodominance: neutralization against full-length Wu-1 spike was not boosted, whereas all tested JN.1 descendants and BA.3.2.2 showed significant boosts, indicating that immune imprinting against ancestral Wu-1 was partially overcome. These data indicate that in the elderly, protective neutralizing antibody responses against recent VOC can be achieved, with alleviation of immune imprinting and reduction of waned responses through biannual, strain-updated booster vaccines. Imprinted antibodies against ancestral pre Omicron variants may still be relevant for protection against further highly immune evasive variants such as BA.3.2.2, highlighting that careful characterisation of population level COVID-19 humoral immunity is still warranted.

microbiology↗

bioRxiv2026

Designer indicators for two-photon recording of subthreshold voltage dynamics

Subthreshold voltage dynamics are critical for neuronal information integration, yet they remain understudied in vivo due to the limitations of current tools. While genetically encoded voltage indicators (GEVIs) offer a promising alternative, their application for deep-tissue recording using two-photon (2P) microscopy--a preferred method for deep-tissue recording--has been hindered by insufficient sensitivity for detecting millivolt-scale subthreshold signals. Here, we refined our multiparametric two-photon high-throughput screening platform to develop two novel GEVIs, JEDI3sub and JEDI3hyp, tailored explicitly for subthreshold voltage detection. Through fast 2P optical recording in awake, behaving mice, we demonstrated the superior sensitivity of JEDI3 indicators compared to JEDI-2P. We also showed that JEDI3sub can track population-level subthreshold optical tuning, while JEDI3hyp reliably captured subthreshold dynamics associated with sharp-wave ripple oscillations in hippocampal PV interneurons. Finally, JEDI3hyp facilitated extended imaging of brain-state-dependent, millivolt-scale subthreshold voltage changes across deep-layer somas, fine dendritic structures, and diverse cell types. By addressing the critical gap in 2P optical recording of subthreshold voltage dynamics, JEDI3 indicators open new avenues for studying neural information processing and its alterations in health and disease.

neuroscience↗

bioRxiv2026

A versatile, positive-going voltage indicator that enables accessible two-photon recordings in vivo

Genetically encoded voltage indicators (GEVIs) enable cell-type-specific optical readout of membrane potential, but two-photon (2P) spike detection has been hampered by low signal-to-noise and ultrafast off-kinetics, restricting use to specialized microscopes. We introduce FORCE1s, a green, positive-going GEVI engineered to make robust 2P voltage imaging broadly accessible. FORCE1s brightens from a dark baseline during depolarization, reports spikes with [~]100% {Delta}F/F in awake mice, and displays repolarization kinetics that are tuned for reliable spike detection at sub-kilohertz frame rates. As a result, FORCE1s supports spike-resolved multi-cell recordings on standard resonant-scanning microscopes, and further scales to larger fields of view and neuron counts on advanced modalities. FORCE1s also enables multiplexed voltage-neurotransmitter imaging and extended recordings in freely moving mice using a compact, affordable MEMS-based 2P miniscope. Together, these advances establish FORCE1s as a community-ready tool that democratizes deep-tissue voltage imaging across platforms and experimental contexts.

neuroscience↗

bioRxiv2026

A genome-wide in vivo screen reveals fitness pathways required for streptococcal infective endocarditis

Infective endocarditis (IE) is a life-threatening disease most often caused by blood-borne bacteria that infect previously damaged cardiac tissue. Despite the importance of this disease, the genetic basis for IE virulence remains poorly defined. Here, we present the first genome-wide in vivo analysis of bacterial fitness in a vertebrate model of IE. We identified 146 genes in Streptococcus sanguinis required for IE fitness, the majority of which had not previously been linked to endocarditis. These determinants cluster into conserved metabolic, cell envelope, transport, and regulatory pathways, representing a vast reservoir of potential targets for novel antimicrobial intervention. A subset of these genes was examined in Streptococcus mutans; all were found to be essential for IE fitness in this distantly related oral species as well, suggesting broad conservation. Using experimental evolution, we further show that disruption of key fitness pathways triggers reproducible compensatory "bypass" mechanisms that reveal the inherent physiological constraints of the IE fitness landscape and identify vulnerable nodes for multi-target drug strategies. Together, these findings redefine streptococcal infective endocarditis as a disease shaped by conserved bacterial fitness networks that may be exploited for therapeutic development. HighlightsO_LIA genome-wide in vivo screen identified 146 Streptococcus sanguinis genes required for infective endocarditis fitness. C_LIO_LI94% of these genes represent previously unrecognized determinants of endocarditis. C_LIO_LIMultiple pathways--including CoA biosynthesis, the shikimate pathway, and rhamnan synthesis--are required for cardiac colonization. C_LIO_LIA subset of infective endocarditis fitness factors are conserved between S. sanguinis and S. mutans, with species-specific adaptations. C_LIO_LIExperimental evolution revealed compensatory metabolic networks that buffer IE fitness defects. C_LI

genetics↗

bioRxiv2026

A joint Bayesian framework for modeling Plasmodium vivax transmission

Plasmodium vivax transmission from humans to mosquitoes depends on the density of gametocytes that in turn depends on asexual parasite replication and gametocyte commitment. These processes are often analyzed separately, despite being biologically linked and measured with substantial uncertainty. We used a joint Bayesian latent-variable model to simultaneously analyze parasite density, gametocyte density, and mosquito infectivity while accounting for measurement error and propagating uncertainty across linked processes. The model was applied to individual-level data from three P. vivax transmission studies conducted in Ethiopia (n = 455). A tenfold increase in gametocyte density was associated with more than a twofold increase in the odds of mosquito infection (odds ratio [OR] = 2.32, 95% credible interval [CrI]: 2.12-2.54). Asexual parasite density was also positively associated with infectivity after accounting for gametocyte density (OR = 1.74, 95% CrI: 1.60-1.90), and inclusion of parasite density improved predictive performance. Pathway decomposition within the joint model indicated that approximately 41% of the parasite-infectivity association operated through gametocyte density. Increasing age was associated with lower asexual parasite density but higher gametocyte density, resulting in minimal overall association with infectivity. Predicted infection probability increased sigmoidally with gametocyte density, remaining low at lower densities before increasing sharply and approaching a plateau at higher densities. Gametocyte density produced the largest predicted changes in the proportion of infected mosquitoes, while asexual parasite density added predictive information not fully captured by measured gametocyte density alone. This approach links molecular parasite measurements with mosquito infection risk while accounting for measurement uncertainty and provides an interpretable framework for studying the P. vivax infectious reservoir. Author SummaryMalaria transmission occurs when mosquitoes ingest sexual-stage parasites, called gametocytes, during a blood meal. In Plasmodium vivax infections, human-to-mosquito transmission depends on linked biological stages, including asexual parasite replication, gametocyte production, and mosquito infection. These processes are closely connected and often measured with uncertainty, making them difficult to study using standard approaches that analyze them separately. In this study, we applied a joint Bayesian model that analyzes parasite density, gametocyte density, and mosquito infectivity together while accounting for uncertainty in laboratory measurements. Using data from three studies in Ethiopia, we quantified how parasite density, gametocyte density, and host characteristics relate to mosquito infection. The analysis showed that measured gametocyte density alone did not fully explain variation in infectivity, and that asexual parasite density provided additional predictive information. We also found that age was associated differently with asexual parasite and gametocyte densities, resulting in little overall association with infectivity. This approach helps link molecular parasite measurements with transmission outcomes and improves understanding of the P. vivax infectious reservoir in endemic settings.

microbiology↗

bioRxiv2026

STRESS HISTORY ESTABLISHES A TRANSIENT TOLERANT STATE THAT SHAPES ANTIBIOTIC SURVIVAL UPON RESUSCITATION

Antibiotic treatment failure, often driven by non-genetic mechanisms such as tolerance and persistence, remains a major global health challenge. {beta}-lactams, the most widely prescribed antibiotic class, are particularly compromised by tolerance in dormant, non-growing cells; yet, how these drugs act on cells resuscitating from dormancy remains poorly understood. Here, we investigate the resuscitation phase at an unprecedented scale using Hi-DFA (High-throughput Dynamic Fate Analyser), a single-cell microfluidic platform integrating time-lapse imaging with machine-learning-based image analysis for dynamic cell-fate tracking. We identify a distinct survival strategy: a significant fraction of resuscitating cells transiently slow their growth, facilitating survival upon {beta}-lactam exposure. This transiently tolerant phenotype is considerably less frequent in unstressed, exponentially growing cells, indicating that prior starvation history predisposes cells to this state. Using simulated in vitro pharmacokinetic treatment profiles, we show that suboptimal dosing selectively enriches for this transient tolerance state. A population dynamics model built from this single-cell antibiotic-response data suggests that these transient-tolerant cells, not typical starvation-triggered persisters, may be the primary drivers of rapid population regrowth post-treatment under clinically relevant conditions. Together, our findings define a distinct class of antibiotic survival shaped by stress history and treatment profile, offering a quantitative framework for optimising antibiotic dosing strategy.

systems biology↗

bioRxiv2026

datadrivenhypothesis.org: A resource for metabolic gene discovery through integrated pathway co-essentiality mapping

datadrivenhypothesis.org (DDH) integrates gene dependency, expression, literature data, and beyond from [~]20,000 human genes to reveal hidden metabolic connections. Through pathway-level co-essentiality analysis with novelty scoring, DDH uncovered unexpected links including Complex II coupled to purine nucleotide biosynthesis. This broad platform offers intuitive tools for hypothesis generation via gene queries, pathway analysis, and network visualization, plus publication-ready downloads. Automated updates make DDH a dynamic resource, bridging genes with unknown function to actionable metabolic insights.

systems biology↗

bioRxiv2025

CBL mutations in pediatric solid and CNS tumors are a marker of receptor tyrosine kinase activation and a potential therapeutic target

Mutations in CBL, an E3 ubiquitin ligase that negatively regulates receptor tyrosine kinases (RTKs) and potentiates intracellular signaling, have been extensively characterized in hematological malignancies. However, the impacts are unknown in other cancer types. We have identified established and novel aberrations in CBL in molecularly diverse pediatric CNS and solid tumors. Additionally, we present novel CBL splice mutations, including in the germline of a high-grade glioma patient, and alternative CBL splicing without corresponding genomic alterations. Functionally, we demonstrate that CBL exon 8/9{Delta}, typically associated with acute myeloid leukemia, is RTK activating in neuroblastoma and that novel CBL variants, CBL E366_E373del and CBL C384G, can cooperate with overexpression of EGFR to transform Ba/F3 cells. Collectively, these data represent a novel form of RTK activation in pediatric patients with solid and CNS tumors who might benefit from RTK-targeted therapies. Statement of significanceMolecularly targeted therapies improve childhood cancer outcomes. Therapies targeting genes called receptor tyrosine kinases are particularly effective. We have identified new genetic alterations that may be a marker for receptor tyrosine kinase activation and drug sensitivity, enabling more patients to benefit from targeted treatments.

cancer biology↗

bioRxiv2025

Fair-weather friends: Unequal partnerships between Parastagonospora nodorum and Pyrenophora tritici-repentis define disease dynamics in wheat

Parastagonospora nodorum and Pyrenophora tritici-repentis are the causal agents of septoria nodorum blotch and tan spot of wheat, respectively. Though these fungal phytopathogens have been found to frequently cohabitate the same leaf, their interaction dynamics in the manifestation of disease remain poorly understood due to limitations in species-specific detection methods. We developed a digital PCR based model targeting conserved regions of the -tubulin gene, enabling biomass quantification of both pathogens during infection. Field surveys revealed up to two in three symptomatic infections involved both pathogens, with co-infected plants showing significantly higher individual pathogen biomass than single-species infections. Host plants in the field with moderate resistance to both pathogens were found to be significantly more necrotic under co-infection, with individual pathogen biomass up to twice that observed value for single infections. However, like fair-weather friends the partnership between these two pathogens seems to be conditional.When P. tritici-repentisestablished first, secondary P. nodorumcolonisationled to a breakdown of host resistance. Conversely, when P. nodorum established on the host first, it suppressed P. tritici-repentis colonisation regardless of host resistance. To our knowledge this is the first description of asymmetric priority effects overcoming host resistance in a plant pathosystem. Resistance breeding strategies evaluating single pathogen challenges may inadvertently select for cultivars vulnerable to sequential co-infection, necessitating integrated disease complex approaches for durable resistance development.

microbiology↗

bioRxiv2025

Evaluating Multiomics Integration Architectures for Training With Structured Missingness

Multimodal bioinformatics datasets are increasingly common in biomedical research, for tasks such as cancer subtyping and outcome prediction. It is feasible that data from a given patient, or even all data from a given institution, does not have coverage across all modalities; the available data is contingent on both the assay choice at the institution alongside technical aspects and associated drop-out. Consequently, algorithms for machine learning models must be tolerant to structured data missingness (or occurrence) for entire modalities when training. In this paper, we compare general strategies for training multimodal models in the context of structured modality missingness, employing suitable strategies for the stage of modality integration: early by concatenation of features, intermediate by max pooling of latent features, and late by aggregating model predictions probabilistically. We evaluate our strategies on a real-world bioinformatics dataset for the task of breast cancer subtyping, constructing a range of structured missingness scenarios. We highlight that, despite their inability to learn cross-modality interactions, late integration models outperform against early and intermediate integration strategies across a range of scenarios according to the level and nature of missingness. Logistic regression models, although simple, also outperform neural networks within the same settings. Fundamentally, we show that understanding the structure of missingness within a dataset is necessary when selecting a method of integration, and that simple models and approaches should not be dismissed when working with structured missingness.

bioinformatics↗

bioRxiv2025

Mapping the Transcriptional Landscape of Drug Responses in Primary Human Cells Using High-Throughput DRUG-seq

To advance our understanding of drug action in physiologically-relevant systems, we developed a high-throughput transcriptomic atlas of compound responses in primary human cell types. Leveraging the scalable and cost-effective Digital RNA with the pertUrbation of Genes (DRUG-seq) assay, we profiled gene expression responses to 89 pharmacologically-active compounds across six concentrations in four distinct primary cell types: aortic smooth muscle cells (AoSMCs), skeletal muscle myoblasts (SkMMs), dermal fibroblasts, and melanocytes. Through rigorous quality control and normalization, we generated reproducible and cell type-resolved transcriptomic signatures, enabling the discovery of both shared and divergent regulatory programs. This dataset revealed core cellular responses, such as brefeldin A-mediated ER stress across all cell types, as well as lineage-specific effects, including dexamethasone-induced hypoxia signaling in AoSMCs, complex inflammatory responses linked to epithelial-to-mesenchymal transition pathways in SkMMs, TGF-{beta}-modulated states in fibroblasts, and dabrafenib-driven transcriptional shifts towards quiescence in melanocytes. By integrating systematic perturbations with primary models, this dataset serves as a resource for building systems-level models of drug response and mechanism. Ultimately, we aim to accelerate predictive pharmacology by enabling high-throughput data generation grounded in human biology and readily usable by artificial intelligence models.

systems biology↗

bioRxiv2025

Pathway Coessentiality Mapping Reveals Complex II is Required for de novo Purine Biosynthesis in Acute Myeloid Leukemia

Understanding how cellular pathways interact is crucial for treating complex diseases like cancer, yet our ability to map these connections systematically remains limited. Individual gene-gene interaction studies have provided insights1,2, but they miss the emergent properties of pathways working together. To address this challenge, we developed a multi-gene approach to pathway mapping and applied it to CRISPR data from the Cancer Dependency Map3. Our analysis of the electron transport chain revealed certain blood cancers, including acute myeloid leukemia (AML), depend on an unexpected link between Complex II and purine metabolism. Through stable isotope metabolomic tracing, we found that Complex II directly supports de novo purine biosynthesis and exogenous purines rescue AML from Complex II inhibition. The mechanism involves a metabolic circuit where glutamine provides nitrogen to build the purine ring, producing glutamate that Complex II must oxidize to sustain purine synthesis. This connection translated to a metabolic vulnerability whereby increasing intracellular glutamate levels suppresses purine production and sensitizes AML to Complex II inhibition. In mouse models, targeting Complex II triggered rapid disease regression and extended survival in aggressive AML. The clinical relevance of this pathway emerged in human studies, where higher Complex II gene expression correlates with both resistance to mitochondria-targeted therapies and worse survival outcomes specifically in AML patients. These findings establish Complex II as a central regulator of de novo purine biosynthesis and identify it as a promising therapeutic target in AML.

cancer biology↗

bioRxiv2024

Cigarette smoke induces PPP1R15A via oxidative stress to modulate inflammatory cytokine production by bronchial epithelial cells

Cigarette smoke is the principal cause of chronic obstructive pulmonary disease (COPD) in western societies. It induces pulmonary inflammation and activates multiple stress signaling pathways in bronchial epithelial cells, including the integrated stress response (ISR). The ISR is triggered by phosphorylation of the translation initiation factor eIF2 in response to a variety of insults and is functionally antagonised by the eIF2 phosphatase subunit PPP1R15A. Deletion of PPP1R15A exaggerates the ISR and in many models protects against a cellular stress. However, loss of PPP1R15A was recently shown to exaggerate pulmonary fibrosis in bleomycin-challenged mice. We therefore wished to understand the role of PPP1R15A in the pulmonary response to cigarette smoke, which can cause both COPD and pulmonary fibrosis. Whole cigarette smoke rapidly activated the ISR in mucociliary differentiated human primary bronchial epithelial cells with those from COPD patients exhibiting higher levels of ISR. Acute exposure to cigarette smoke condensate induced a pro-inflammatory cytokine response accompanied by PPP1R15A expression. In this model, PPP1R15A induction was independent of eIF2 phosphorylation but was suppressed by antioxidants suggesting a response to oxidative stress. In vivo studies in mice revealed that PPP1R15A deficiency enhanced the secretion of proinflammatory cytokines in mice, suggesting a regulatory role for PPP1R15A in modulating the inflammatory response to smoke. Taken together, these data suggest that PPP1R15A is induced by cigarette smoke by an ISR-independent oxidative stress mechanism and ameliorates the pro-inflammatory cytokine response to cigarette smoke.

cell biology↗

bioRxiv2024

A novel rhodopsin-based voltage indicator for simultaneous two-photon optical recording with GCaMP in vivo

Genetically encoded voltage indicators (GEVIs) allow optical recording of membrane potential from targeted cells in vivo. However, red GEVIs that are compatible with two-photon microscopy and that can be multiplexed in vivo with green reporters like GCaMP, are currently lacking. To address this gap, we explored diverse rhodopsin proteins as GEVIs and engineered a novel GEVI, 2Photron, based on a rhodopsin from the green algae Klebsormidium nitens. 2Photron, combined with two photon ultrafast local volume excitation (ULoVE), enabled multiplexed readout of spiking and subthreshold voltage simultaneously with GCaMP calcium signals in visual cortical neurons of awake, behaving mice. These recordings revealed the cell-specific relationship of spiking and subthreshold voltage dynamics with GCaMP responses, highlighting the challenges of extracting underlying spike trains from calcium imaging.

neuroscience↗

bioRxiv2024

A novel infective endocarditis virulence factor related to multiple functions for bacterial survival in blood was discovered in Streptococcus sanguinis

We identified the role of a conserved hypothetical protein (SSA_0451) in S. sanguinis that is involved in the virulence of infective endocarditis. An in vitro whole blood killing assay and rabbit endocarditis model studies revealed that the SSA_0451 mutant ({Delta}SSA_0451) was significantly less virulent than the wild-type (SK36) and its complementation mutant ({Delta}SSA_0451C). The mechanism underlying the SSA_0451 mutants reduced virulence in infective endocarditis was evidentially linked to oxidative stress and environmental stress. The genes related to the survival of S. sanguinis in an oxidative stress environment were downregulated in {Delta}SSA_0451, which affected its survival in blood. Our findings suggest that SSA_0451 is a novel IE virulence factor and a new target for drug discovery against IE. Author summaryThis study focused on SSA_0451, a conserved hypothetical protein in S. sanguinis, to explore its potential role as a virulence factor. Through in vitro whole blood killing assays and rabbit IE models, it was found that the SSA_0451 mutant exhibited reduced virulence compared to the wild-type and a complemented mutant. The study linked the mutants diminished virulence in IE to heightened susceptibility to oxidative and environmental stresses, supported by downregulation of genes crucial for oxidative stress survival in S. sanguinis. These findings identify SSA_0451 as a novel virulence factor in IE and propose it as a promising target for future drug development against this condition.

microbiology↗

bioRxiv2023

Identification and organization of a postural anti-gravity module in the cerebellar vermis

The cerebellum is known to control the proper balance of isometric muscular contractions that maintain body posture. Current optogenetic manipulations of the cerebellar cortex output, however, have focused on ballistic body movements, examining movement initiation or perturbations. Here, by optogenetic stimulations of cerebellar Purkinje cells, the output of the cerebellar cortex, we evaluate body posture maintenance. By sequential analysis of body movement, we dissect the effect of optogenetic stimulation into a directly induced movement that is then followed by a compensatory reflex to regain body posture. We identify a module in the medial part of the anterior vermis which, through multiple muscle tone regulation, is involved in postural anti-gravity maintenance of the body. Moreover, we report an antero-posterior and medio-lateral functional segregation over the vermal lobules IV/V/VI. Taken together our results open new avenues for better understanding of the modular functional organization of the cerebellar cortex and its role in postural anti-gravity maintenance. HighlightsO_LIVermal Purkinje cell activation elicits a graded postural collapse in the standing mouse C_LIO_LIThe collapse triggers a secondary composite postural reflex C_LIO_LIAn identified cerebellar module is involved in postural anti-gravity tone maintenance C_LIO_LIThe anti-gravity function is somatotopically organized within this module C_LI

neuroscience↗