Probes for INS

To detail early tissue distribution and innate immune response to rabbit hemorrhagic disease virus 2 (RHDV2), 13 rabbits were orally ( Oryctolagus cuniculus ) inoculated with liver homogenate made from a feral rabbit that succumbed to RHDV2 during the 2020 outbreak in Oregon, USA. Rabbits were monitored regularly, with euthanasia and collection of tissues and swabs, at 12, 24, 36, 48, 96, and 144 hours post inoculation. Livers from these rabbits were positive by RT-rtPCR for presence of the virus. Using RNAscope for viral and replicative intermediates, rabbits had detectable viral genomic RNA at each time point, initially within the gastrointestinal tract, then in the liver by 36 hours post inoculation. Also using RNAscope, there were increasing amounts of mRNA coding for TNF-α, IL-6, and IL-1β within the liver and spleen through 48 hours post inoculation. The results of this study aided our understanding of the local innate immune response to RHDV2, as well as aspects of pathogenesis.

The mechanisms explaining progression to severe COVID-19 remain poorly understood. It has been proposed that immune system dysregulation/over-stimulation may be implicated, but it is not clear how such processes would lead to respiratory failure. We performed comprehensive multiparameter immune monitoring in a tightly controlled cohort of 128 COVID-19 patients, and used the ratio of oxygen saturation to fraction of inspired oxygen (SpO2 / FiO2) as a physiologic measure of disease severity. Machine learning algorithms integrating 139 parameters identified IL-6 and CCL2 as two factors predictive of severe disease, consistent with the therapeutic benefit observed with anti-IL6-R antibody treatment. However, transcripts encoding these cytokines were not detected among circulating immune cells. Rather, in situ analysis of lung specimens using RNAscope and immunofluorescent staining revealed that elevated IL-6 and CCL2 were dominantly produced by infected lung type II pneumocytes. Severe disease was not associated with higher viral load, deficient antibody responses, or dysfunctional T cell responses. These results refine our understanding of severe COVID-19 pathophysiology, indicating that aberrant cytokine production by infected lung epithelial cells is a major driver of immunopathology. We propose that these factors cause local immune regulation towards the benefit of the virus.

Single-cell RNA sequencing data can unveil the molecular diversity of cell types. Cell type atlases of the mouse spinal cord have been published in recent years but have not been integrated together. Here, we generate an atlas of spinal cell types based on single-cell transcriptomic data, unifying the available datasets into a common reference framework. We report a hierarchical structure of postnatal cell type relationships, with location providing the highest level of organization, then neurotransmitter status, family, and finally, dozens of refined populations. We validate a combinatorial marker code for each neuronal cell type and map their spatial distributions in the adult spinal cord. We also show complex lineage relationships among postnatal cell types. Additionally, we develop an open-source cell type classifier, SeqSeek, to facilitate the standardization of cell type identification. This work provides an integrated view of spinal cell types, their gene expression signatures, and their molecular organization.