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Luckhart, S.

Publications and source records attributed to Luckhart, S..

5 recordsLinked to original sources

Space-Time Light-Sheet Microscopy

Light-sheet microscopy (LSM) has revolutionized bioimaging by delivering high-contrast volumetric resolution with minimal photodamage. Spatial wavefront shaping, used to gen{-}erate lattice and Airy light-sheets, has been particularly effective in advancing LSM be{-}yond the Rayleigh limit. Despite its broad adoption, most LSM implementations rely on rigid dual-objective geometries that complicate sample handling and impose a trade-off between imaging field of view (FoV) and axial resolution. Here, we introduce space-time light-sheet microscopy (ST-LSM), a single-objective strategy that exploits space-time (ST) correlations for the first time. ST-LSM goes beyond separate spatial or temporal modulation to jointly modulate the spatiotemporal spectral structure of a pulse. This uniquely enabled light-sheets with wavelength-scale thickness over millimeter-scale dis{-}tances. When compared to state-of-the-art approaches, ST-LSM eliminates the dual-objective constraint, expands the sample-accessible volume by 25x, and increases the FoV by 10x without sacrificing sectioning resolution. We demonstrate the versatility of ST-LSM by using a single setup to image specimens across four orders of magnitude in size, from whole roots and developing embryos, down to mammalian cells with sub-cellular axial resolution. These results position ST-LSM as an accessible and high-performance optical microscopy platform at a variety of biological scales, by translating space-time wave-packet physics into a practical imaging modality.

biophysics↗

Noisy hemoglobin consumption by erythrocytic Plasmodium falciparum parasites: origins and possible implications

Non-genetic cell-to-cell phenotypic differences can significantly impact pathogen physiol-ogy and virulence, leading to unexpected phenomena such as antibiotic persistence. Here, we introduce the role of such non-genetic phenotypic differences in the host, with a focus on hemoglobin consumption by Plasmodium falciparum during the erythrocytic stage of parasite development. Through imaging, we quantified the substantial variability in hemoglobin (Hb) concentration among uninfected red blood cells (RBCs), and subse-quently measured the rate of Hb consumption by parasites at different stages of their life cycle. This revealed a similarly significant variability among different infected RBCs. By employing a mathematical model, we demonstrated that this variability in Hb consumption can be attributed to non-genetic differences in host RBCs, marking the first evidence of this phenomenon in malaria parasite physiology. These findings underscore the im-portance of incorporating non-genetic host variability into models of disease progression and treatment strategies for malaria and potentially other pathogen-related diseases.

biophysics↗

Antiviral insulin signaling during West Nile virus infection results in viral mutations

Arthropod-borne viruses or arboviruses, including West Nile virus (WNV), dengue virus (DENV), and Zika virus (ZIKV) pose significant threats to public health. It is imperative to develop novel methods to control these mosquito-borne viral infections. We previously showed that insulin/insulin-like growth factor-1 signaling (IIS)-dependent activation of ERK and JAK-STAT signaling has significant antiviral activity. Continuous immune pressure can lead to adaptive mutations of viruses during infection. We aim to elucidate how IIS-signaling in mosquitoes selects for West Nile virus escape variants, to help formulate future transmission blocking strategies. We hypothesize that passage of WNV under activation of IIS will induce adaptive mutations or escape variants in the infecting virus. To test our hypothesis, WNV was serially passaged through Culex quinquefasciatus Hsu cells in the presence or absence of bovine insulin to activate IIS antiviral pressure. We sequenced WNV genes encoding for E, NS2B, NS3, and NS5 and identified variants in E and NS5 arising from IIS antiviral pressure. In parallel to the genetic analyses, we also report differences in the levels of virus replication and Akt activation in human cells using virus passaged in the presence or absence of insulin. Finally, using adult Culex quinquefasciatus, we demonstrated the enhancement of immune response gene expression in virus-infected mosquitoes fed on insulin, compared to control. Notably, virus collected from insulin-fed mosquitoes contained a non-synonymous mutation in NS3. These results contribute towards achieving our long-term goal of manipulating mosquito IIS-dependent antiviral immunity to reduce WNV or other flavivirus transmission to mammalian hosts.

immunology↗

Coupled small molecules target RNA interference and JAK/STAT signaling to reduce Zika virus infection in Aedes aegypti

The recent global Zika epidemics have revealed the significant threat that mosquito-borne viruses pose. There are currently no effective vaccines or prophylactics to prevent Zika virus (ZIKV) infection. Limiting exposure to infected mosquitoes is best way to reduce disease incidence. Recent studies have focused on targeting mosquito reproduction and immune responses to reduce transmission. In particular, previous work evaluated the effect of insulin signaling on antiviral JAK/STAT and RNAi in vector mosquitoes. In this work, we demonstrate that targeting insulin signaling through the repurposing of small molecule drugs results in the activation of both of these antiviral pathways. Activation of this coordinated response additively reduced ZIKV levels in Aedes aegypti mosquitoes. This effect included a quantitatively greater reduction in salivary gland ZIKV levels relative to single pathway activation, indicating the potential for field delivery of these small molecules to substantially reduce virus transmission.

microbiology↗

Insulin potentiates JAK/STAT signaling to broadly inhibit flavivirus replication in insect vectors

The World Health Organization estimates that over half of the worlds population is at risk for vector-borne diseases, such as those caused by arboviral infection. Because many arboviruses are mosquito-borne, investigation of the insect immune response will help identify targets that could reduce the spread of these viruses by the mosquito. In this study, we used a genetic screening approach to identify insulin-like receptor as a novel component of the immune response to arboviral infection. We determined that vertebrate insulin reduces West Nile virus (WNV) replication in Drosophila melanogaster as well as WNV, Zika, and dengue virus titers in mosquito cells. Mechanistically, we showed that insulin signaling activates the JAK/STAT, but not RNAi, pathway to control infection. Finally, we validated that insulin priming of adult female Culex mosquitoes through a blood meal reduces WNV infection, demonstrating an essential role for insulin signaling in insect antiviral responses to emerging human pathogens.

microbiology↗