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Olberg, S.

Publications and source records attributed to Olberg, S..

3 recordsLinked to original sources

Connecting adhesion dynamics and trail formation in malaria parasites by imaging the major surface antigens CSP and TRAP

Malaria infections are initiated by mosquito bites, during which Plasmodium sporozoites are injected into the host skin. Sporozoites migrate rapidly to find and enter blood capillaries and ultimately invade hepatocytes. Sporozoite migration and invasion is mediated by the transmembrane protein thrombospondin-related anonymous protein (TRAP), which links the extracellular substrate to the actomyosin complex powering gliding motility, while the abundant, GPI-anchored circumsporozoite protein (CSP) covers most of the parasite membrane and modulates adhesion. Both proteins are secreted onto the parasite surface and deposited in a membranous trail originating at the parasite rear. The surface dynamics of these essential sporozoite proteins and the mechanism of deposition, however, are not understood. Here, using orbital total internal reflection fluorescence microscopy (TIRF), we reveal the dynamics of TRAP adhesion site formation and disassembly as well as CSP and TRAP deposition rates. We find that TRAP assembles into distinct adhesion sites, which then undergo retrograde translocation as the sporozoite moves forward. Around half of the TRAP adhesins, together with CSP, remain associated in small membrane droplets on the substrate after the sporozoite has disengaged from the adhesion site. These droplets seem to originate from nanotubes, that presumably decay under high tension. Strikingly, we observe a change in actin filament accumulation if proteolytic cleavage of TRAP is inhibited, providing the first visual evidence for outside-in signaling in sporozoites. Our study reveals a relation between adhesion dynamics and trail formation in Plasmodium sporozoites that might also be relevant for other cell types.

cell biology↗

Global-scale quantification of responses to anthropogenic stressors in six riverine organism groups

Rivers globally are impacted by numerous anthropogenic stressors, including water pollution, habitat degradation, and climate change, which collectively stress biodiversity and ecosystem functioning. This study systematically reviews and analyses published and unpublished data to understand how five aquatic organism groups (bacteria, algae, macrophytes, invertebrates, fish) respond to seven common stressors (salinization, oxygen depletion, fine sediment enrichment, temperature increase, flow modifications and nitrogen or phosphorus enrichment). Using an analytical framework that includes Generalized Linear Models (GLMs) and Robust Bayesian Meta Analysis (RoBMA), we extracted data from 143 relevant datasets out of 29,749 screened articles. Our results reveal a negative relationship between invertebrates and salinity, fine sediment enrichment, and temperature increase, while fish respond positively to increased oxygen levels and temperature. Bacteria and algae show variable responses, with algae positively associated with nitrogen. The findings highlight strong variability in stressor-response relations across organism groups and stressor types, and emphasize the need for more targeted studies on underrepresented groups like macrophytes and microorganisms. This analysis enhances the predictive understanding of stressor impacts on riverine biodiversity, informing future river ecosystem management and restoration efforts.

ecology↗

Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera

Emergence of the novel pathogenic coronavirus SARS-CoV-2 and its rapid pandemic spread presents numerous questions and challenges that demand immediate attention. Among these is the urgent need for a better understanding of humoral immune response against the virus as a basis for developing public health strategies to control viral spread. For this, sensitive, specific and quantitative serological assays are required. Here we describe the development of a semi-quantitative high-content microscopy-based assay for detection of three major classes (IgG, IgA and IgM) of SARS-CoV-2 specific antibodies in human samples. The possibility to detect antibodies against the entire viral proteome together with a robust semi-automated image analysis workflow resulted in specific, sensitive and unbiased assay which complements the portfolio of SARS-CoV-2 serological assays. The procedure described here has been used for clinical studies and provides a general framework for the application of quantitative high-throughput microscopy to rapidly develop serological assays for emerging virus infections.

microbiology↗