Integrated multi-omics analyses identify anti-viral host factors and pathways controlling SARS-CoV-2 infection.

Host anti-viral factors are essential for controlling SARS-CoV-2 infection but remain largely unknown due to the biases of previous large-scale studies toward pro-viral host factors. To fill in this knowledge gap, we perform a genome-wide CRISPR dropout screen and integrate analyses of the multi-omics data of the CRISPR screen, genome-wide association studies, single-cell RNA-Seq, and host-virus proteins or protein/RNA interactome. This study uncovers many host factors that are currently underappreciated, including the components of V-ATPases, ESCRT, and N-glycosylation pathways that modulate viral entry and/or replication. The cohesin complex is also identified as an anti-viral pathway, suggesting an important role of three-dimensional chromatin organization in mediating host-viral interaction. Furthermore, we discover another anti-viral regulator KLF5, a transcriptional factor involved in sphingolipid metabolism, which is up-regulated, and harbors genetic variations linked to COVID-19 patients with severe symptoms. Anti-viral effects of three identified candidates (DAZAP2/VTA1/KLF5) are confirmed individually. Molecular characterization of DAZAP2/VTA1/KLF5-knockout cells highlights the involvement of genes related to the coagulation system in determining the severity of COVID-19. Together, our results provide further resources for understanding the host anti-viral network during SARS-CoV-2 infection and may help develop new countermeasure strategies.

Faslpr gene dosage tunes the extent of lymphoproliferation and T cell differentiation in lupus.

Sle1 and Faslpr are two lupus susceptibility loci that lead to manifestations of systemic lupus erythematosus. To evaluate the dosage effects of Faslpr in determining cellular and serological phenotypes associated with lupus, we developed a new C57BL/6 (B6) congenic lupus strain, B6.Sle1/Sle1.Faslpr/+ (Sle1homo.lprhet) and compared it with B6.Faslpr/lpr (lprhomo), B6.Sle1/Sle1 (Sle1homo), and B6.Sle1/Sle1.Faslpr/lpr (Sle1homo.lprhomo) strains. Whereas Sle1homo.lprhomo mice exhibited profound lymphoproliferation and early mortality, Sle1homo.lprhet mice had a lifespan comparable to B6 mice, with no evidence of splenomegaly or lymphadenopathy. Compared to B6 monogenic lupus strains, Sle1homo.lprhet mice exhibited significantly elevated serum ANA antibodies and increased proteinuria. Additionally, Sle1homo.lprhet T cells had an increased propensity to differentiate into Th1 cells. Gene dose effects of Faslpr were noted in upregulating serum IL-1⍺, IL-2, and IL-27. Taken together, Sle1homo.lprhet strain is a new C57BL/6-based model of lupus, ideal for genetic studies, autoantibody repertoire investigation, and for exploring Th1 effector cell skewing without early-age lymphoproliferative autoimmunity.

Integrating genome-wide CRISPR immune screen with multi-omic clinical data reveals distinct classes of tumor intrinsic immune regulators.

BACKGROUND: Despite approval of immunotherapy for a wide range of cancers, the majority of patients fail to respond to immunotherapy or relapse following initial response. These failures may be attributed to immunosuppressive mechanisms co-opted by tumor cells. However, it is challenging to use conventional methods to systematically evaluate the potential of tumor intrinsic factors to act as immune regulators in patients with cancer. METHODS: To identify immunosuppressive mechanisms in non-responders to cancer immunotherapy in an unbiased manner, we performed genome-wide CRISPR immune screens and integrated our results with multi-omics clinical data to evaluate the role of tumor intrinsic factors in regulating two rate-limiting steps of cancer immunotherapy, namely, T cell tumor infiltration and T cell-mediated tumor killing. RESULTS: Our studies revealed two distinct types of immune resistance regulators and demonstrated their potential as therapeutic targets to improve the efficacy of immunotherapy. Among them, PRMT1 and RIPK1 were identified as a dual immune resistance regulator and a cytotoxicity resistance regulator, respectively. Although the magnitude varied between different types of immunotherapy, genetically targeting PRMT1 and RIPK1 sensitized tumors to T-cell killing and anti-PD-1/OX40 treatment. Interestingly, a RIPK1-specific inhibitor enhanced the antitumor activity of T cell-based and anti-OX40 therapy, despite limited impact on T cell tumor infiltration. CONCLUSIONS: Collectively, the data provide a rich resource of novel targets for rational immuno-oncology combinations.

A comparison of exosome purification methods using serum of Marek's disease virus (MDV)-vaccinated and -tumor-bearing chickens.

Marek's disease (MD) is an alphaherpesvirus (Marek's disease virus, MDV)-induced pathology of chickens associated with paralysis, immunosuppression, neurological signs, and T-cell lymphomas. MD is controlled in poultry production via live attenuated vaccines. The purpose of the current study was to compare methods for precipitating exosomes from vaccinated and protected chicken sera (VEX) and tumor-bearing chicken sera (TEX) for biomarker analysis of vaccine-induced protection and MD lymphomas respectively. A standard polyethylene glycol (PEG, 8%) method was compared to a commercial reagent (total exosome isolation reagent, TEI) for exosome yield and RNA content. Although exosomes purified by PEG or TEI were comparable in size and morphology, TEI-reagent yielded 3-4-fold greater concentration. Relative expression of 8 out of 10 G. gallus- and MDV1-encoded miRNAs examined displayed significant difference depending upon the precipitation method used. Standard PEG yields comparable, albeit lower amounts of exosomes than the TEI-reagent and a distinctive miRNA composition.

Comparison of exosomes purified via ultracentrifugation (UC) and Total Exosome Isolation (TEI) reagent from the serum of Marek's disease virus (MDV)-vaccinated and tumor-bearing chickens.

Extracellular vesicles (EVs) is a collective term used to refer microparticles, exosomes, and apoptotic bodies produced by a variety of cells and released into interstitial spaces and bodily fluids. Serum exosomes can serve as invaluable biomarkers, containing m/miRNAs, lipids, and proteins, indicative of various conditions. There are currently limited studies on the characterization and mutual consensus of biomarker profiles of serum exosomes purified by different methods. Here we compared the advantages and disadvantages of two commonly used serum exosome purification procedures including ultracentrifugation (UC) and Total Exosome Isolation (TEI) reagent, by analyzing exosome size distribution, concentration, morphology and miRNA expression profiles. Serum was obtained from Marek's disease virus (MDV)-infected chickens that were either vaccinated against Marek's disease (MD), and thus protected, or unvaccinated and bearing MDV-induced tumors. Nanoparticle tracking analysis (NTA) and Transmission Electron Microscopy (TEM) were performed to evaluate particle size, concentration, and morphological integrity, respectively. Our results indicate that the size distribution of particles purified by either procedure is consistent with that of exosomes (30-150 nm). TEI reagent generated higher yields and co-isolated additional EV populations that are slightly larger (∼180 nm). Based on the miRNA expression profiles from a previous high throughput sequencing experiment of exosome small RNAs, we selected six cellular and four MDV1 miRNAs, to validate their expression in UC- and TEI-purified exosomes. miRNA expression profiles displayed relative correlation between the two procedures, but distinctive differences were observed in abundance with TEI-purified exosomes showing higher miRNA expression consistent with higher yield than those purified by UC. TEI-purified exosomes from vaccinated chickens exhibited greater expression of tumor suppressor miRNA, gga-mir-146b and least expression of oncomiR, gga-mir-21 compared to those obtained from tumor-bearing chickens. We propose that gga-mir-146 and -21 can serve as serum exosome biomarkers for vaccine-induced protection and MD tumors respectively.

Vaccine Effects on Heterogeneity in Susceptibility and Implications for Population Health Management.

Heterogeneity in host susceptibility is a key determinant of infectious disease dynamics but is rarely accounted for in assessment of disease control measures. Understanding how susceptibility is distributed in populations, and how control measures change this distribution, is integral to predicting the course of epidemics with and without interventions. Using multiple experimental and modeling approaches, we show that rainbow trout have relatively homogeneous susceptibility to infection with infectious hematopoietic necrosis virus and that vaccination increases heterogeneity in susceptibility in a nearly all-or-nothing fashion. In a simple transmission model with an R0 of 2, the highly heterogeneous vaccine protection would cause a 35 percentage-point reduction in outbreak size over an intervention inducing homogenous protection at the same mean level. More broadly, these findings provide validation of methodology that can help to reduce biases in predictions of vaccine impact in natural settings and provide insight into how vaccination shapes population susceptibility.IMPORTANCE Differences among individuals influence transmission and spread of infectious diseases as well as the effectiveness of control measures. Control measures, such as vaccines, may provide leaky protection, protecting all hosts to an identical degree, or all-or-nothing protection, protecting some hosts completely while leaving others completely unprotected. This distinction can have a dramatic influence on disease dynamics, yet this distribution of protection is frequently unaccounted for in epidemiological models and estimates of vaccine efficacy. Here, we apply new methodology to experimentally examine host heterogeneity in susceptibility and mode of vaccine action as distinct components influencing disease outcome. Through multiple experiments and new modeling approaches, we show that the distribution of vaccine effects can be robustly estimated. These results offer new experimental and inferential methodology that can improve predictions of vaccine effectiveness and have broad applicability to human, wildlife, and ecosystem health.