Ziyi Li

TL;DR: This comprehensive analysis of key myeloid subsets in human and mouse identifies critical cellular interactions regulating tumor immunity and defines mechanisms underlying myeloids-targeted immunotherapies currently undergoing clinical testing.

TL;DR: A pan-cancer analysis of single myeloid cells from 210 patients across 15 human cancer types identified distinct features of TIMs across cancer types and suggested future avenues for rational, targeted immunotherapies.

TL;DR: A review of the advances in knowledge of tumor immune microenvironments acquired from scRNA-seq studies across multiple types of human tumors, with a particular emphasis on the study of phenotypic plasticity and lineage dynamics of immune cells in the tumor environment is presented in this article.

TL;DR: This study provides the first benchmarking to evaluate the performances of different SNV detection tools for scRNA-seq data and recommends SAMtools, Strelka2, FreeBayes, or CTAT, depending on the specific conditions of usage.

TL;DR: It is demonstrated that the ROGUE metric is broadly applicable, and enables accurate, sensitive and robust assessment of cluster purity on a wide range of simulated and real datasets, and can be applied to all tested scRNA-seq datasets.