Dataset Information

Cluster regulation of RUNX family by "gene switch" triggers a profound tumor regression of diverse origins.

ABSTRACT: Although Runt-related transcription factor 1 (RUNX1) has been generally considered to be a tumor suppressor, a growing body of evidence strongly suggests its pro-oncogenic property in acute myeloid leukemia (AML), Here we demonstrate that anti-leukemic effect mediated by RUNX1 depletion is highly dependent on a functional p53-mediated cell death pathway. Based on our present findings, anti-tumor effect elicited by RUNX1 silencing was compensated by the other RUNX family members such as RUNX2 and RUNX3, and a simultaneous attenuation of whole RUNX family members as a cluster displayed a much stronger anti-tumor effect relative to their individual suppression. Notably, switching off RUNX cluster utilizing the novel alkylating agent-conjugated pyrrole-imidazole (PI) polyamides, which specifically bound to the consensus RUNX-binding sequences, was highly effective against leukemia as well as dismal-prognostic solid tumors arising from diverse origins in vivo without any significant adverse events. Together, this work identifies the crucial role of RUNX cluster in the maintenance and the progression of cancer cells, and the indicated gene switch technology-dependent its modulation would be a novel strategy to control malignancies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE94835 | GEO | 2017/03/26

SECONDARY ACCESSION(S): PRJNA374547

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Runx1 and Runx3 function redundantly in early T-development, and together drive T-lineage developmental progression by regulating distinct sets of genes in different stages. Context-specific Runx target genes are particularly enriched near Runx binding sites that dynamically shift from pre-T-commitment stages (Phase 1) to post-T-commitment stages (Phase 2). As total Runx activities (Runx1+Runx3) are maintained stably throughout early T-development stages, yet Runx factors physically interact with multiple collaborators, we hypothesized that different Runx-collaborating transcription factors compete to recruit a limited pool of Runx transcription factors. To test whether increasing Runx availability can alter Runx DNA-binding site choices, Runx1 overexpression vectors were introduced to two different systems. First, we increased Runx1 expression in a DN3-like cell line (representing a post-commitment, Phase 2 stage) in the presence or absence of exogenous Phase 1 co-factor, PU.1. Second, we increased Runx1 expression in Phase 1 primary cells which naturally express PU.1 and other Phase 1 collaborators. Then, Runx1 binding behaviors were measured using ChIP-seq or CUT&RUN (C&R). A modest increase of Runx1 levels (about 2-3 fold increase) substantially increased the number of Runx binding sites seen and the intensity of occupancy in both systems. When Runx expression was at physiological levels, PU.1 dominated Runx1 site choice before T commitment by recruiting Runx1 to PU.1 sites. The Phase 2 cell line system showed that it did this while depleting Runx1 from alternative high quality Runx motif sites. However, when Runx1 was overexpressed, Runx1 was still recruited to PU.1 sites, but this recruitment did not evacuate Runx1 occupancy from default preferred sites. Notably, Runx1 overexpression in primary Phase 1 cells caused precocious occupancy of post-commitment, Phase 2-specific sites. We found that these are often co-occupied with TCF1, E2A, and HEB, but have minimal co-binding with PU.1. In addition, Runx1 overexpression resulted in new binding sites that were not normally observed in pro-T cells, which are mostly sequestered by closed chromatin normally although they harbor more numerous Runx motifs. Thus, these data suggest that Runx DNA binding site choices are sensitive to Runx concentration and co-factors during early T-development.

Project description:Runx transcription factors play pivotal roles in the development of hematopoietic cells, including T cells. However, the Runx-target genes in early stages of thymic T cell development have been only partially elucidated. Moreover, the relationships of different Runx paralogs, whether they compete or collaborate with each other, are unknown. We have performed CRISPR-Cas9 mediated acute deletion of Runx1 and Runx3, alone and in combination, to define the functions of Runx factors and their target genes. We focused on two distinct stages of early T cell development; before lineage commitment (Phase1) and after commitment (Phase2). Our data suggest that Runx1 and Runx3 are functionally redundant in Phase1, hence the absence of one factor was compensated by the other factor. In Phase2, Runx1 becomes a major contributor, while low levels of Runx3 still strengthened the Runx1-mediated target gene regulation and showed an additive effect. Of importance, we found that Runx1 and Runx3 upregulate T cell programs and inhibit alternative lineage genes. In order to capture the developmental status of Runx-perturbed cells, we performed supervised principal component analysis (PCA) using a fixed frame of PC loadings from single cell RNA-seq analysis of normal in vivo-derived thymocytes. Unlike the reference in vitro and in vivo pro-T cell population or sgControl introduced cells, Runx knockout cells either failed to progress fully (Phase1) or deflected from the normal developmental trajectory (Phase2), suggesting essential roles of Runx factors in early stages of T development. In addition, we analyzed the correlation between stage-specific genomic occupancy of Runx1 and Runx3 (using previously published data for Runx1, GSE103953) and Runx-mediated gene regulation responses at each stage. Interestingly, genes with dynamic, stage-sensitive expression showed a very significant association with phase-specific genomic interactions of Runx factors, and an especially strong correlation with Runx activated target genes. In summary, our data suggest a pivotal role for Runx transcription factors in thymic T cell development by imposing T lineage specification in Phase1 and instructing the lineage-committed progenitor cells to progress through a normal T developmental trajectory.

Project description:Runx transcription factors are essential for generating functional T cells starting from the earliest stages in thymic T-development. To evaluate how Runx factors instruct T cell development, we perturbed Runx activities using 1) CRISPR-Cas9, simultaneously deleting two predominant, redundant Runx factors, Runx1 and Runx3, and 2) Runx1-overepxression at a stage before pro-T cells commit to a T cell fate. Then single-cell transcriptome analysis was performed. Runx1/Runx3 knockout (KO) vs. Runx1 overexpression (OE) resulted in contrasting deviations from the normal developmental trajectory. The separation of both perturbation conditions from the controls implied that Runx factors regulate gene networks in individual cells to control separate pathways instead of changing distributions of cells among different stages along the control pathway. Notably, a common core set of genes responded to both KO and OE, in opposite directions. Runx activation target genes were selectively enriched for T-identity program and innate lymphoid cell program genes, whereas inhibition targets were significantly associated with stem/progenitor program and myeloid lineage pathways. Pseudotime inference analysis suggested that Runx perturbations also substantially regulate developmental speed, as Runx KO significantly slowed down developmental progression, whereas Runx1 OE resulted in pronounced acceleration. This interpretation was largely supported by Runx activities regulating key transcription factors involved in establishing distinct gene network modules during T cell development. Indeed, further analysis showed that Runx target genes get combinatorial inputs from these Runx-regulated transcription factors as well as from Runx factors themselves. Together, our data suggest that Runx transcription factors drive early T developmental progression by launching gene expression modules associated with T-identity and innate lymphoid cells through mediating other transcription factor cooperativities.

Dataset Information

Cluster regulation of RUNX family by "gene switch" triggers a profound tumor regression of diverse origins.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure