16 research outputs found

    Immune-epigenetic crosstalk in haematological malignancies

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    Haematological malignancies comprise a diverse set of lymphoid and myeloid neoplasms which can arise during any stage of haematopoiesis in the bone marrow. Accumulating evidence suggests that chronic inflammation generated by inflammatory cytokines secreted by tumour and the tumour-associated cells within the bone marrow microenvironment initiates signalling pathways in malignant cells, resulting in activation of master transcription factors including Smads, STAT3, and NF-κB which confer cancer stem cell phenotypes and drive disease progression. Deciphering the molecular mechanisms for how immune cells interact with malignant cells to induce such epigenetic modifications, specifically DNA methylation, histone modification, expression of miRNAs and lnRNAs to perturbate haematopoiesis could provide new avenues for developing novel targeted therapies for haematological malignancies. Here, the complex positive and negative feedback loops involved in inflammatory cytokine-induced cancer stem cell generation and drug resistance are reviewed to highlight the clinical importance of immune-epigenetic crosstalk in haematological malignancies

    ZEB2 and MEIS1 independently contribute to hematopoiesis via early hematopoietic enhancer activation

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    血球細胞分化に必要な新たな因子を同定. 京都大学プレスリリース. 2023-09-29.Delineating the dynamic transcriptional and epigenetic landscape regulating hematopoiesis. 京都大学プレスリリース. 2023-10-17.Cell differentiation is achieved by acquiring a cell type-specific transcriptional program and epigenetic landscape. While the cell type-specific patterning of enhancers has been shown to precede cell fate decisions, it remains unclear how regulators of these enhancers are induced to initiate cell specification and how they appropriately restrict cells that differentiate. Here, using embryonic stem cell–derived hematopoietic cell differentiation cultures, we show the activation of some hematopoietic enhancers during arterialization of hemogenic endothelium, a prerequisite for hematopoiesis. We further reveal that ZEB2, a factor involved in the transcriptional regulation of arterial endothelial cells, and a hematopoietic regulator MEIS1 are independently required for activating these enhancers. Concomitantly, ZEB2 or MEIS1 deficiency impaired hematopoietic cell development. These results suggest that multiple regulators expressed from an earlier developmental stage non-redundantly contribute to the establishment of hematopoietic enhancer landscape, thereby restricting cell differentiation despite the unrestricted expression of these regulators to hematopoietic cells

    Single-Cell Approaches to Deconvolute the Development of HSCs

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    Hematopoietic stem cells (HSCs) play a core role in blood development. The ability to efficiently produce HSCs from various pluripotent stem cell sources is the Holy Grail in the hematology field. However, in vitro or in vivo HSC production remains low, which may be attributable to the lack of understanding of hematopoiesis. Here, we review the recent progress in this area and introduce advanced technologies, such as single-cell RNA-seq, spatial transcriptomics, and molecular barcoding, which may help to acquire missing information about HSC generation. We finally discuss unresolved questions, the answers to which may be conducive to HSC production, providing a promising path toward HSC-based immunotherapies

    The prospect of genetically engineering natural killer cells for cancer immunotherapy

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    The use of natural killer (NK) cells in cancer immunotherapy demonstrates promising potential, yet its efficacy is often limited due to the loss of tumor-killing capacity and lack of specificity in vivo. Here, we review current approaches to confer enhanced tumor-killing capacity and specificity by genetic engineering. Increasing sensitivity to cytokines and protecting NK cells from the immune checkpoint endowed sustainability of NK cells in the tumor microenvironment. Transducing chimeric antigen receptor (CAR) in NK cells successfully targeted both hematologic and solid tumors in preclinical models. The use of human pluripotent stem cells as an expandable and genetically amenable platform offers a stable source of engineered NK cells for cancer immunotherapy. We highlight that CAR-NK cells from human pluripotent stem cells are a promising approach for cancer immunotherapy

    IPSC-derived CAR-NK cells for cancer immunotherapy

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    Adoptive cell therapies (ACT) based on chimeric antigen receptor (CAR)-modified immune cells have made great progress with six CAR-T cell products approved by the U.S. FDA for hematological malignancies. Compared with CAR-T cells, CAR-NK cells have attracted increasing attention owing to their multiple killing mechanisms, higher safety profile, and broad sources. Induced pluripotent stem cell (iPSC)-derived NK (iPSC-NK) cells possess a mature phenotype and potent cytolytic activity, and can provide a homogeneous population of CAR-NK cells that can be expanded to clinical scale. Thus, iPSC-derived CAR-NK (CAR-iNK) cells could be used as a standardized and “off-the-shelf” product for cancer immunotherapy. In this review, we summarize the current status of the manufacturing techniques, genetic modification strategies, preclinical and clinical evidence of CAR-iNK cells, and discuss the challenges and future prospects of CAR-iNK cell therapy as a novel cellular immunotherapy in cancer

    Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope

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    Abstract The rapid emergence of spatial transcriptomics (ST) technologies is revolutionizing our understanding of tissue spatial architecture and biology. Although current ST methods, whether based on next-generation sequencing (seq-based approaches) or fluorescence in situ hybridization (image-based approaches), offer valuable insights, they face limitations either in cellular resolution or transcriptome-wide profiling. To address these limitations, we present SpatialScope, a unified approach integrating scRNA-seq reference data and ST data using deep generative models. With innovation in model and algorithm designs, SpatialScope not only enhances seq-based ST data to achieve single-cell resolution, but also accurately infers transcriptome-wide expression levels for image-based ST data. We demonstrate SpatialScope’s utility through simulation studies and real data analysis from both seq-based and image-based ST approaches. SpatialScope provides spatial characterization of tissue structures at transcriptome-wide single-cell resolution, facilitating downstream analysis, including detecting cellular communication through ligand-receptor interactions, localizing cellular subtypes, and identifying spatially differentially expressed genes
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