Comprehensive Characterization of the Check for updates Multiple Myeloma Immune Microenvironment Using Integrated scRNA-seq, CyTOF, and CITE-seq Analysis

Lijun Yao, Reyka G. Jayasinghe, Brian H. Lee, Swati S. Bhasin, William Pilcher, Deon Bryant Doxie, Edgar Gonzalez-Kozlova, Surendra Dasari, Mark A. Fiala, Yered Pita-Juarez, Michael Strausbauch, Geoffrey Kelly, Beena E. Thomas, Shaji K. Kumar, Hearn Jay Cho, Emilie Anderson, Michael Wendl, Travis Dawson, Darwin D’souza, Stephen T. OhGiulia Cheloni, Ying Li, John F. DiPersio, Adeeb H. 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 K. Bhasin, Li Ding

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1255-1265
Number of pages11
JournalCancer research communications
Volume2
Issue number10
DOIs
StatePublished - 2022

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