作者
Lijun Yao,Reyka Jayasinghe,Brian H. Lee,Swati S. Bhasin,William Pilcher,Deon B. Doxie,Edgar Gonzalez‐Kozlova,Surendra Dasari,Mark A. Fiala,Yered Pita-Juárez,Michael Strausbauch,Geoffrey Kelly,Beena Thomas,Shaji Kumar,Hearn Jay Cho,Emilie Anderson,Michael C. Wendl,Travis Dawson,Darwin D’souza,Stephen T. Oh,Giulia Cheloni,Ying Li,John F. DiPersio,Adeeb Rahman,Kavita M. Dhodapkar,Seunghee Kim‐Schulze,Ravi Vij,Ioannis S. Vlachos,Shaadi Mehr,Mark Hamilton,Daniel Auclair,Taxiarchis Kourelis,David Avigan,Madhav V. Dhodapkar,Sacha Gnjatic,Manoj Bhasin,Li Ding
摘要
As part of the Multiple Myeloma Research Foundation (MMRF) immune atlas pilot project, we compared immune cells of multiple myeloma bone marrow samples from 18 patients assessed by single-cell RNA sequencing (scRNA-seq), mass cytometry (CyTOF), and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to understand the concordance of measurements among single-cell techniques. Cell type abundances are relatively consistent across the three approaches, while variations are observed in T cells, macrophages, and monocytes. Concordance and correlation analysis of cell type marker gene expression across different modalities highlighted the importance of choosing cell type marker genes best suited to particular modalities. By integrating data from these three assays, we found International Staging System stage 3 patients exhibited decreased CD4+ T/CD8+ T cells ratio. Moreover, we observed upregulation of RAC2 and PSMB9, in natural killer cells of fast progressors compared with those of nonprogressors, as revealed by both scRNA-seq and CITE-seq RNA measurement. This detailed examination of the immune microenvironment in multiple myeloma using multiple single-cell technologies revealed markers associated with multiple myeloma rapid progression which will be further characterized by the full-scale immune atlas project. Significance: scRNA-seq, CyTOF, and CITE-seq are increasingly used for evaluating cellular heterogeneity. Understanding their concordances is of great interest. To date, this study is the most comprehensive examination of the measurement of the immune microenvironment in multiple myeloma using the three techniques. Moreover, we identified markers predicted to be significantly associated with multiple myeloma rapid progression.