Project description:Characterizing the compositional and phenotypic characteristics of tumor-infiltrating B cells (TIBs) is important for advancing our understanding of their role in cancer development. Here, we establish a comprehensive resource of human B cells by integrating single-cell RNA sequencing data of B cells from 649 patients across 19 major cancer types. We demonstrate substantial heterogeneity in their total abundance and subtype composition and observe immunoglobulin G (IgG)-skewness of antibody-secreting cell isotypes. Moreover, we identify stress-response memory B cells and tumor-associated atypical B cells (TAABs), two tumor-enriched subpopulations with prognostic potential, shared in a pan-cancer manner. In particular, TAABs, characterized by a high clonal expansion level and proliferative capacity as well as by close interactions with activated CD4 T cells in tumors, are predictive of immunotherapy response. Our integrative resource depicts distinct clinically relevant TIB subsets, laying a foundation for further exploration of functional commonality and diversity of B cells in cancer.
Project description:Systemic juvenile idiopathic arthritis (SJIA) is a clinically heterogenous systemic inflammatory disorder sometimes complicated by macrophage activation syndrome (MAS) and lung disease (LD), which are thought to be driven by IFN signaling. To identify cellular sources and novel gene programs underlying SJIA pathogenesis, we performed the first in-depth single-cell RNA Sequencing (scRNA-Seq) analysis of 21 SJIA, SJIA-LD, and SJIA-MAS patient PBMCs. To define novel heterogenous patient-subtypes associated with shared transcriptional responses and associate these with clinical and diagnostic metadata, we developed the tools UDON and SATAY-UDON. These tools identify hidden patient-subtypes, including a novel Complement and IFN signaling gene program expressed by SJIA-LD monocyte populations, unravel cellular sources of IFN signaling in SJIA-MAS as CD4 T cells and monocytic cell types, and identify a previously unknown role for platelets and S100 proteins as drivers of systemic inflammation. These data provide insights into new potential therapeutic targets for SJIA complications.
Project description:Molecular subtyping is expected to enable bladder cancer (BC) precise treatment. However, reliable subtyping strategies for clinical application remains defective and controversial. Given the significance of tumor immune dysfunction and exclusion (TIDE) in tumor immune escape and immunotherapy, we aimed to develop a novel TIDE-based subtyping method to facilitate personalized management. Transcriptome data of BC was used to evaluate the heterogeneity and the status of TIDE patterns. We identified 69 TIDE biomarker genes and classified BC samples into three subtypes using consensus clustering. Subtype I showed the lowest TIDE status and malignancy with the best prognosis and highest sensitivity to immune checkpoint blockade (ICB) treatment, which was enriched of metabolic related signaling pathways. Subtype III represented the highest TIDE status and malignancy with the poorest prognosis and resistance to ICB treatment, resulting from its inhibitory immune microenvironment and T cell terminal exhaustion. Subtype II was in a transitional state with intermediate TIDE level, malignancy, and prognosis. We further confirmed the existence and characteristics of our novel TIDE subtypes using real-world BC samples. This subtyping method was proved to be more efficient than previous known methods in identifying non-responders to immunotherapy. We also propose that combining our TIDE subtypes with known biomarkers can potentially improve the sensitivity and specificity of these biomarkers. Moreover, besides guiding ICB treatment, this classification approach can assist in selecting the frontline or recommended drugs. Finally, we confirmed that the TIDE subtypes are conserved across the pan-tumors. In conclusion, our novel TIDE-based subtyping method can serve as a powerful clinical tool for BC and pan-cancer patients, and potentially guiding personalized therapy decisions for selecting potential beneficiaries and excluding resistant patients of ICB therapy.
Project description:dendritic cells = improtant APC -different subtypes characterized by surface markers by FACS -combination of FACS and LC-MS powerful tool, especially for low cell numbers -direct sorting of cells into SP3-compatible lysis buffer -new protocol without washing steps after sort and before protein digestion