4.5 Article

Single-cell RNA profiling identifies diverse cellular responses to EWSR1/FLI1 downregulation in Ewing sarcoma cells

期刊

CELLULAR ONCOLOGY
卷 45, 期 1, 页码 19-40

出版社

SPRINGER
DOI: 10.1007/s13402-021-00640-x

关键词

Ewing sarcoma; Heterogeneity; Single-cell RNA-seq; EWSR1/FLI1; Dormancy; Drug resistance; Survival; Stress response; Machine learning; Prediction

资金

  1. USPHS award from the National Cancer Institute [PO1CA169368]
  2. UTSA
  3. NIH [G12MD007591]
  4. NSF [DBI-1337513]
  5. UT Health San Antonio
  6. NIH Shared Instrument grant [1S10OD021805-01]
  7. CPRIT Core Facility Award [RP160732]
  8. NCI Cancer Center Support Grant [P30CA16672]
  9. UTHSCSA, NIH-NCI [P30 CA054174, UL1 TR001120]
  10. NIH-NCI [P30 CA054174]

向作者/读者索取更多资源

In this study, the researchers investigated the transcriptional states and phenotypes of cell proliferation and dormancy by suppressing the expression of the EWSR1/FLI1 gene. They found that the dynamics of subpopulations of cells can affect the stem cell characteristics and survival mechanisms of cells, which is of significant importance for understanding the occurrence and development of Ewing sarcoma.
Background The EWSR1/FLI1 gene fusion is the most common rearrangement leading to cell transformation in Ewing sarcoma (ES). Previous studies have indicated that expression at the cellular level is heterogeneous, and that levels of expression may oscillate, conferring different cellular characteristics. In ES the role of EWSR1/FLI1 in regulating subpopulation dynamics is currently unknown. Methods We used siRNA to transiently suppress EWSR1/FLI1 expression and followed population dynamics using both single cell expression profiling, CyTOF and functional assays to define characteristics of exponentially growing ES cells and of ES cells in which EWSR1/FLI1 had been downregulated. Novel transcriptional states with distinct features were assigned using random forest feature selection in combination with machine learning. Cells isolated from ES xenografts in immune-deficient mice were interrogated to determine whether characteristics of specific subpopulations of cells in vitro could be identified. Stem-like characteristics were assessed by primary and secondary spheroid formation in vitro, and invasion/ motility was determined for each identified subpopulation. Autophagy was determined by expression profiling, cell sorting and immunohistochemical staining. Results We defined a workflow to study EWSR1/FLI1 driven transcriptional states and phenotypes. We tracked EWSR1/FLI1 dependent proliferative activity over time to discover sources of intra-tumoral diversity. Single-cell RNA profiling was used to compare expression profiles in exponentially growing populations (si-Control) or in two dormant populations (D1, D2) in which EWSR1/FLI1 had been suppressed. Three distinct transcriptional states were uncovered contributing to ES intra-heterogeneity. Our predictive model identified similar to 1% cells in a dormant-like state and similar to 2-4% cells with stem-like and neural stem-like features in an exponentially proliferating ES cell line and in ES xenografts. Following EWSRI/FLII knockdown, cells re-entering the proliferative cycle exhibited greater stem-like properties, whereas for those cells remaining quiescent, FAM134B-dependent dormancy may provide a survival mechanism. Conclusions We show that time-dependent changes induced by suppression of oncogenic EWSR1/FLI1 expression induces dormancy, with different subpopulation dynamics. Cells re-entering the proliferative cycle show enhanced stem-like characteristics, whereas those remaining dormant for prolonged periods appear to survive through autophagy. Cells with these characteristics identified in exponentially growing cell populations and in tumor xenografts may confer drug resistance and could potentially contribute to metastasis.

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