Single-Cell Transcriptome in Chronic Myeloid Leukemia: Pseudotime Analysis Reveals Evidence of Embryonic and Transitional Stem Cell States.

Recent experimental data suggest that the heterogeneity of chronic myeloid leukemia (CML) stem cells may be the result of the development of unique molecular events generating functional consequences in terms of the resistance and persistence of leukemic stem cells. To explore this phenomenon, we designed a single-cell transcriptome assay evaluating simultaneously the expression of 87 genes. Highly purified CD34+ cells from three CML patients at diagnosis were immobilized in microfluidic chips, and the expression of 87 genes was evaluated in each cell. This analysis identified a group of 13 highly connected genes including NANOG, POU5F1, LIN28A, and SOX2, representing on average 8.59% of the cell population analyzed. Bioinformatics analysis with the corrected matrix and t-distributed stochastic neighbor embedding (tSNE) algorithm identified four distinct clusters, and the pseudotime analysis confirmed the presence of seven stem cell states in the four clusters identified. ALOX5 expression was associated with the group of cells expressing the pluripotency markers. In in vitro analyses, two genes that were predicted to undergo similar regulation using pseudotime analysis (ALOX5 and FGFR) were found to be similarly inhibited by ponatinib, an FGFR inhibitor. Finally, in an independent cohort of CML patients, we found that pluripotency gene expression is a common feature of CD34+ CML cells at diagnosis. Overall, these experiments allowed identification of individual CD34+ cells expressing high levels of pluripotency genes at diagnosis, in which a continuum of transitional states were identified using pseudotime analysis. These results suggest that leukemic stem cell persistence in CML needs to be targeted simultaneously rather than using a single pathway.

A novel neuronal organoid model mimicking glioblastoma (GBM) features from induced pluripotent stem cells (iPSC).

BACKGROUND: Current experimental models using either human or mouse cell lines, are not representative of the complex features of GBM. In particular, there is no model to study patient-derived iPSCs to generate a GBM model. Overexpression of c-met gene is one of the molecular features of GBM leading to increased signaling via STAT3 phosphorylation. We generated an iPSC line from a patient with c-met mutation and we asked whether we could use it to generate neuronal-like organoids mimicking features of GBM. METHODS: We have generated iPSC-aggregates differentiating towards organoids. We analyzed them by gene expression profiling, immunostaining and transmission electronic microscopy analyses (TEM). RESULTS: Herein we describe that c-met-mutated iPSC aggregates spontaneously differentiate into dopaminergic neurons more rapidly than control iPSC aggregates in culture. Gene expression profiling of c-met-mutated iPSC aggregates at day +90 showed neuronal- and GBM-related genes, reproducing a genomic network described in primary human GBM. Comparative TEM analyses confirmed the enrichment of these structures in intermediate filaments and abnormal cilia, a feature described in human GBM. The c-met-mutated iPSC-derived organoids, as compared to controls expressed high levels of glial fibrillary acidic protein (GFAP), which is a typical marker of human GBM, as well as high levels of phospho-MET and phospho-STAT3. The use of temozolomide (TMZ) showed a preferential cytotoxicity of this drug in c-met-mutated neuronal-like organoids. GENERAL SIGNIFICANCE: This study shows the feasibility of generating "off-the shelf" neuronal-like organoid model mimicking GBM using c-met-mutated iPSC aggregates and its potential future use in research.

Experimental and integrative analyses identify an ETS1 network downstream of BCR-ABL in chronic myeloid leukemia (CML).

The BCR-ABL oncogene, the hallmark of chronic myeloid leukemia (CML), has been shown to activate several signaling pathways in leukemic cells. The natural history of this disease has been radically modified by tyrosine kinase inhibitors (TKIs). However, resistance to several lines of TKI therapies and progression to blast crisis (BC) remain significant concerns. To identify novel signaling pathways induced by BCR-ABL, we performed a transcriptome analysis in a BCR-ABL-expressing UT-7 cell line. More than 2000 genes differentially expressed between BCR-ABL-expressing and parental UT-7 cells were identified and ETS1 was found to be the most upregulated. ETS1 protein expression was also shown to be highly increased in UT-7 cells expressing BCR-ABL either constitutively or under the control of TET-inducible promoters. ETS1 expression is tyrosine-kinase dependent because it was reduced by TKIs. A significant increase of ETS1 messenger RNA (mRNA) expression was observed in blood cells from CML patients at diagnosis compared with healthy controls. Integration of publicly available chromatin immunoprecipitation sequencing and transcriptomic data with our results allowed us to identify potential ETS1 targets, some of which are involved in the progression of CML. The messenger RNA expression of two of these genes (DNM3 and LIMS1) was found to be associated with the absence of major cytogenetic response after 1 year of imatinib therapy. The present work demonstrates for the first time the involvement of the ETS1 transcriptional program in the experimental UT-7 model and a large cohort of CML patients.