Wille, S. J. | bioRxiv Science

bioRxiv2025

The protease inhibitor Nirmatrelvir synergizes with inhibitors of GRP78 to suppress SARS-CoV-2 replication

Nirmatrelvir, the active compound of the drug Paxlovid, inhibits the Main protease of SARS-CoV-2 (MPro, 3CLPro, NSP5). Its therapeutic application reduces but does not abolish the progression of COVID-19 in humans. Here we report a strong synergy of Nirmatrelvir with inhibitors of the ER chaperone GRP78 (HSPA5, BiP). Combining Nirmatrelvir with the GRP78-antagonizing drug candidate HA15 strongly inhibits the replication of SARS-CoV-2, to a far greater extent than either drug alone, as observed by diminished cytopathic effect, levels of detectable virus RNA, TCID50 titers, accumulation of the non-structural protein 3 (NSP3), as well as Spike and N proteins. The original SARS-CoV-2 strain as well as an Omicron variant were similarly susceptible towards the drug combination. Other GRP78 inhibitors or siRNAs targeting GRP78 also fortified the antiviral effect of Nirmatrelvir. In a hamster model of COVID-19, the combination of Nirmatrelvir with HA15 alleviated pneumonia-induced pulmonary atelectasis more effectively than the single drugs. In conclusion, inhibition of the virus Main protease and cellular GRP78 cooperatively diminishes virus replication and may improve COVID-19 therapy.

microbiology↗

bioRxiv2024

Comparison of spatial transcriptomics technologies used for tumor cryosections

BackgroundSpatial transcriptomics (ST) technologies are revolutionizing our understanding of intra-tumor heterogeneity and the tumor microenvironment by revealing single-cell molecular profiles within their spatial tissue context. The rapid evolution of ST methods, each with unique features, presents a challenge in selecting the most appropriate technology for specific research objectives. Here, we compare four imaging-based ST methods - RNAscope HiPlex, Molecular Cartography, MERFISH/Merscope, and Xenium - together with sequencing-based ST (Visium). These technologies were used to study cryosections of medulloblastoma with extensive nodularity (MBEN), a tumor chosen for its distinct microanatomical features. ResultsOur analysis reveals that automated imaging-based ST methods are well suited to delineating the intricate MBEN microanatomy, capturing cell-type-specific transcriptome profiles. We devise approaches to compare the sensitivity and specificity of the different methods together with their unique attributes to guide method selection based on the research aim. Furthermore, we demonstrate how reimaging of slides after the ST analysis can markedly improve cell segmentation accuracy and integrate additional transcript and protein readouts to expand the analytical possibilities and depth of insights. ConclusionsThis study highlights key distinctions between various ST technologies and provides a set of parameters for evaluating their performance. Our findings aid in the informed choice of ST methods and delineate approaches for enhancing the resolution and breadth of spatial transcriptomic analyses, thereby contributing to advancing ST applications in solid tumor research.

genomics↗