Recent advances in single-cell RNA-sequencing (scRNA-seq) technology increase the understanding of immune differentiation and activation processes, as well as the heterogeneity of immune cell types. Although the number of available immune-related scRNA-seq datasets increases rapidly, their large size and various formats render them hard for the wider immunology community to use, and read-level data are practically inaccessible to the non-computational immunologist. To facilitate datasets reuse, we created the JingleBells repository for immune-related scRNA-seq datasets ready for analysis and visualization of reads at the single-cell level (http://jinglebells.bgu.ac.il/). To this end, we collected the raw data of publicly available immune-related scRNA-seq datasets, aligned the reads to the relevant genome, and saved aligned reads in a uniform format, annotated for cell of origin. We also added scripts and a step-by-step tutorial for visualizing each dataset at the single-cell level, through the commonly used Integrated Genome Viewer (www.broadinstitute.org/igv/). The uniform scRNA-seq format used in JingleBells can facilitate reuse of scRNA-seq data by computational biologists. It also enables immunologists who are interested in a specific gene to visualize the reads aligned to this gene to estimate cell-specific preferences for splicing, mutation load, or alleles. Thus JingleBells is a resource that will extend the usefulness of scRNA-seq datasets outside the programming aficionado realm.

Background The aim of this study was to assess the survival outcomes of head and neck cancer (HNC) by socioeconomic status. Methods A national retrospective population‐based cohort of HNC patients diagnosed in Israel between 2000 and 2017 was conducted. Site of residence and socioeconomic status were correlated with overall survival (OS), controlling for prognostic factors that included tumor site, stage, age, sex, and ethnic group. Results Overall, 11 826 patients were identified. Patients from high socioeconomic areas had better overall 5‐year survival than patients from low socioeconomic areas (p < 0.005). Patients in stage 3 from a high socioeconomic status had a longer median survival rate of 1.5 years than patients in the low‐status group. In a cox proportional hazards analysis, we found age >65 (HR 2.91, 95% confidence interval [CI]: 2.75–3.09, p < 0.001) and low socioeconomic group (HR 1.25, 95% CI: 1.18–1.33, p < 0.001) to be correlated with inferior OS. Conclusion Our findings show that patients with HNC living in low socioeconomic areas had worse OS.