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Tiniakou I, Hsu PF, Lopez-Zepeda LS, Garipler G, Esteva E, Adams NM, Jang G, Soni C, Lau CM, Liu F, Khodadadi-Jamayran A, Rodrick TC, Jones D, Tsirigos A, Ohler U, Bedford MT, Nimer SD, Kaartinen V, Mazzoni EO, Reizis B. Genome-wide screening identifies Trim33 as an essential regulator of dendritic cell differentiation. Sci Immunol 2024; 9:eadi1023. [PMID: 38608038 PMCID: PMC11182672 DOI: 10.1126/sciimmunol.adi1023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 03/21/2024] [Indexed: 04/14/2024]
Abstract
The development of dendritic cells (DCs), including antigen-presenting conventional DCs (cDCs) and cytokine-producing plasmacytoid DCs (pDCs), is controlled by the growth factor Flt3 ligand (Flt3L) and its receptor Flt3. We genetically dissected Flt3L-driven DC differentiation using CRISPR-Cas9-based screening. Genome-wide screening identified multiple regulators of DC differentiation including subunits of TSC and GATOR1 complexes, which restricted progenitor growth but enabled DC differentiation by inhibiting mTOR signaling. An orthogonal screen identified the transcriptional repressor Trim33 (TIF-1γ) as a regulator of DC differentiation. Conditional targeting in vivo revealed an essential role of Trim33 in the development of all DCs, but not of monocytes or granulocytes. In particular, deletion of Trim33 caused rapid loss of DC progenitors, pDCs, and the cross-presenting cDC1 subset. Trim33-deficient Flt3+ progenitors up-regulated pro-inflammatory and macrophage-specific genes but failed to induce the DC differentiation program. Collectively, these data elucidate mechanisms that control Flt3L-driven differentiation of the entire DC lineage and identify Trim33 as its essential regulator.
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Affiliation(s)
- Ioanna Tiniakou
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
| | - Pei-Feng Hsu
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
| | - Lorena S. Lopez-Zepeda
- Department of Biology, Humboldt Universität zu Berlin; Berlin, Germany
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine; Berlin, Germany
| | - Görkem Garipler
- Department of Biology, New York University; New York, NY, USA
| | - Eduardo Esteva
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
| | - Nicholas M. Adams
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
| | - Geunhyo Jang
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
| | - Chetna Soni
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
| | - Colleen M. Lau
- Department of Microbiology and Immunology, Cornell University College of Veterinary Medicine; Ithaca, NY, USA
| | - Fan Liu
- Department of Biochemistry and Molecular Biology, Department of Medicine and Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine; Miami, FL, USA
| | - Alireza Khodadadi-Jamayran
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
- Applied Bioinformatics Laboratories, New York University Grossman School of Medicine; New York, NY, USA
| | - Tori C. Rodrick
- Metabolomics Laboratory, Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine; New York, NY, USA
| | - Drew Jones
- Metabolomics Laboratory, Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine; New York, NY, USA
| | - Aristotelis Tsirigos
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
- Applied Bioinformatics Laboratories, New York University Grossman School of Medicine; New York, NY, USA
| | - Uwe Ohler
- Department of Biology, Humboldt Universität zu Berlin; Berlin, Germany
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine; Berlin, Germany
| | - Mark T. Bedford
- Department of Epigenetics & Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center; Houston, TX, USA
| | - Stephen D. Nimer
- Department of Biochemistry and Molecular Biology, Department of Medicine and Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine; Miami, FL, USA
| | - Vesa Kaartinen
- Department of Biologic and Materials Sciences, University of Michigan School of Dentistry; Ann Arbor, MI, USA
| | | | - Boris Reizis
- Department of Pathology, New York University Grossman School of Medicine; New York, NY, USA
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2
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Nagel S, Rand U, Pommerenke C, Meyer C. Transcriptional Landscape of CUT-Class Homeobox Genes in Blastic Plasmacytoid Dendritic Cell Neoplasm. Int J Mol Sci 2024; 25:2764. [PMID: 38474011 DOI: 10.3390/ijms25052764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/20/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Homeobox genes encode developmental transcription factors regulating tissue-specific differentiation processes and drive cancerogenesis when deregulated. Dendritic cells (DCs) are myeloid immune cells occurring as two types, either conventional or plasmacytoid DCs. Recently, we showed that the expression of NKL-subclass homeobox gene VENTX is restricted to conventional DCs, regulating developmental genes. Here, we identified and investigated homeobox genes specifically expressed in plasmacytoid DCs (pDCs) and derived blastic plasmacytoid dendritic cell neoplasm (BPDCN). We analyzed gene expression data, performed RQ-PCR, protein analyses by Western blot and immuno-cytology, siRNA-mediated knockdown assays and subsequent RNA-sequencing and live-cell imaging. Screening of public gene expression data revealed restricted activity of the CUT-class homeobox gene CUX2 in pDCs. An extended analysis of this homeobox gene class in myelopoiesis showed that additional CUX2 activity was restricted to myeloid progenitors, while BPDCN patients aberrantly expressed ONECUT2, which remained silent in the complete myeloid compartment. ONECUT2 expressing BPDCN cell line CAL-1 served as a model to investigate its regulation and oncogenic activity. The ONECUT2 locus at 18q21 was duplicated and activated by IRF4, AUTS2 and TNF-signaling and repressed by BMP4-, TGFb- and IL13-signalling. Functional analyses of ONECUT2 revealed the inhibition of pDC differentiation and of CDKN1C and CASP1 expression, while SMAD3 and EPAS1 were activated. EPAS1 in turn enhanced survival under hypoxic conditions which thus may support dendritic tumor cells residing in hypoxic skin lesions. Collectively, we revealed physiological and aberrant activities of CUT-class homeobox genes in myelopoiesis including pDCs and in BPDCN, respectively. Our data may aid in the diagnosis of BPDCN patients and reveal novel therapeutic targets for this fatal malignancy.
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Affiliation(s)
- Stefan Nagel
- Department of Human and Animal Cell Lines, Leibniz-Institute DSMZ, 38124 Braunschweig, Germany
| | - Ulfert Rand
- Department of Human and Animal Cell Lines, Leibniz-Institute DSMZ, 38124 Braunschweig, Germany
| | - Claudia Pommerenke
- Department of Human and Animal Cell Lines, Leibniz-Institute DSMZ, 38124 Braunschweig, Germany
| | - Corinna Meyer
- Department of Human and Animal Cell Lines, Leibniz-Institute DSMZ, 38124 Braunschweig, Germany
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3
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Beumer J, Clevers H. Hallmarks of stemness in mammalian tissues. Cell Stem Cell 2024; 31:7-24. [PMID: 38181752 PMCID: PMC10769195 DOI: 10.1016/j.stem.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/03/2023] [Accepted: 12/08/2023] [Indexed: 01/07/2024]
Abstract
All adult tissues experience wear and tear. Most tissues can compensate for cell loss through the activity of resident stem cells. Although the cellular maintenance strategies vary greatly between different adult (read: postnatal) tissues, the function of stem cells is best defined by their capacity to replace lost tissue through division. We discuss a set of six complementary hallmarks that are key enabling features of this basic function. These include longevity and self-renewal, multipotency, transplantability, plasticity, dependence on niche signals, and maintenance of genome integrity. We discuss these hallmarks in the context of some of the best-understood adult stem cell niches.
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Affiliation(s)
- Joep Beumer
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Basel, Switzerland.
| | - Hans Clevers
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Basel, Switzerland.
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4
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Isobe T, Kucinski I, Barile M, Wang X, Hannah R, Bastos HP, Chabra S, Vijayabaskar MS, Sturgess KHM, Williams MJ, Giotopoulos G, Marando L, Li J, Rak J, Gozdecka M, Prins D, Shepherd MS, Watcham S, Green AR, Kent DG, Vassiliou GS, Huntly BJP, Wilson NK, Göttgens B. Preleukemic single-cell landscapes reveal mutation-specific mechanisms and gene programs predictive of AML patient outcomes. CELL GENOMICS 2023; 3:100426. [PMID: 38116120 PMCID: PMC10726426 DOI: 10.1016/j.xgen.2023.100426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/13/2023] [Accepted: 09/29/2023] [Indexed: 12/21/2023]
Abstract
Acute myeloid leukemia (AML) and myeloid neoplasms develop through acquisition of somatic mutations that confer mutation-specific fitness advantages to hematopoietic stem and progenitor cells. However, our understanding of mutational effects remains limited to the resolution attainable within immunophenotypically and clinically accessible bulk cell populations. To decipher heterogeneous cellular fitness to preleukemic mutational perturbations, we performed single-cell RNA sequencing of eight different mouse models with driver mutations of myeloid malignancies, generating 269,048 single-cell profiles. Our analysis infers mutation-driven perturbations in cell abundance, cellular lineage fate, cellular metabolism, and gene expression at the continuous resolution, pinpointing cell populations with transcriptional alterations associated with differentiation bias. We further develop an 11-gene scoring system (Stem11) on the basis of preleukemic transcriptional signatures that predicts AML patient outcomes. Our results demonstrate that a single-cell-resolution deep characterization of preleukemic biology has the potential to enhance our understanding of AML heterogeneity and inform more effective risk stratification strategies.
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Affiliation(s)
- Tomoya Isobe
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Iwo Kucinski
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Melania Barile
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Xiaonan Wang
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Rebecca Hannah
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Hugo P Bastos
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Shirom Chabra
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - M S Vijayabaskar
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Katherine H M Sturgess
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Matthew J Williams
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - George Giotopoulos
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Ludovica Marando
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Juan Li
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Justyna Rak
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK; Hematological Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Malgorzata Gozdecka
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK; Hematological Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Daniel Prins
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Mairi S Shepherd
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Sam Watcham
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Anthony R Green
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - David G Kent
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK; York Biomedical Research Institute, Department of Biology, University of York, York, UK
| | - George S Vassiliou
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK; Hematological Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Brian J P Huntly
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK
| | - Nicola K Wilson
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK.
| | - Berthold Göttgens
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Hematology, University of Cambridge, Cambridge, UK.
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5
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Nagel S, Meyer C, Pommerenke C. Establishment of the lymphoid ETS-code reveals deregulated ETS genes in Hodgkin lymphoma. PLoS One 2023; 18:e0288031. [PMID: 37428779 DOI: 10.1371/journal.pone.0288031] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/16/2023] [Indexed: 07/12/2023] Open
Abstract
The human family of ETS transcription factors numbers 28 genes which control multiple aspects of development, notably the differentiation of blood and immune cells. Otherwise, aberrant expression of ETS genes is reportedly involved in forming leukemia and lymphoma. Here, we comprehensively mapped ETS gene activities in early hematopoiesis, lymphopoiesis and all mature types of lymphocytes using public datasets. We have termed the generated gene expression pattern lymphoid ETS-code. This code enabled identification of deregulated ETS genes in patients with lymphoid malignancies, revealing 12 aberrantly expressed members in Hodgkin lymphoma (HL). For one of these, ETS gene ETV3, expression in stem and progenitor cells in addition to that in developing and mature T-cells was mapped together with downregulation in B-cell differentiation. In contrast, subsets of HL patients aberrantly overexpressed ETV3, indicating oncogenic activity in this B-cell malignancy. Analysis of ETV3-overexpressing HL cell line SUP-HD1 demonstrated genomic duplication of the ETV3 locus at 1q23, GATA3 as mutual activator, and suppressed BMP-signalling as mutual downstream effect. Additional examination of the neighboring ETS genes ETS1 and FLI1 revealed physiological activities in B-cell development and aberrant downregulation in HL patient subsets. SUP-HD1 showed genomic loss on chromosome 11, del(11)(q22q25), targeting both ETS1 and FLI1, underlying their downregulation. Furthermore, in the same cell line we identified PBX1-mediated overexpression of RIOK2 which inhibited ETS1 and activated JAK2 expression. Collectively, we codified normal ETS gene activities in lymphopoiesis and identified oncogenic ETS members in HL.
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Affiliation(s)
- Stefan Nagel
- Department of Human and Animal Cell Lines, Leibniz-Institute DSMZ, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Corinna Meyer
- Department of Human and Animal Cell Lines, Leibniz-Institute DSMZ, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Claudia Pommerenke
- Department of Human and Animal Cell Lines, Leibniz-Institute DSMZ, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
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6
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MacNabb BW, Rothenberg EV. Speed and navigation control of thymocyte development by the fetal T-cell gene regulatory network. Immunol Rev 2023; 315:171-196. [PMID: 36722494 PMCID: PMC10771342 DOI: 10.1111/imr.13190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
T-cell differentiation is a tightly regulated developmental program governed by interactions between transcription factors (TFs) and chromatin landscapes and affected by signals received from the thymic stroma. This process is marked by a series of checkpoints: T-lineage commitment, T-cell receptor (TCR)β selection, and positive and negative selection. Dynamically changing combinations of TFs drive differentiation along the T-lineage trajectory, through mechanisms that have been most extensively dissected in adult mouse T-lineage cells. However, fetal T-cell development differs from adult in ways that suggest that these TF mechanisms are not fully deterministic. The first wave of fetal T-cell differentiation occurs during a unique developmental window during thymic morphogenesis, shows more rapid kinetics of differentiation with fewer rounds of cell division, and gives rise to unique populations of innate lymphoid cells (ILCs) and invariant γδT cells that are not generated in the adult thymus. As the characteristic kinetics and progeny biases are cell-intrinsic properties of thymic progenitors, the differences could be based on distinct TF network circuitry within the progenitors themselves. Here, we review recent single-cell transcriptome data that illuminate the TF networks involved in T-cell differentiation in the fetal and adult mouse thymus.
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Affiliation(s)
- Brendan W MacNabb
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, California, USA
| | - Ellen V Rothenberg
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, California, USA
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7
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EVI1 drives leukemogenesis through aberrant ERG activation. Blood 2023; 141:453-466. [PMID: 36095844 DOI: 10.1182/blood.2022016592] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/10/2022] [Accepted: 08/28/2022] [Indexed: 02/07/2023] Open
Abstract
Chromosomal rearrangements involving the MDS1 and EVI1 complex locus (MECOM) on chromosome 3q26 define an aggressive subtype of acute myeloid leukemia (AML) that is associated with chemotherapy resistance and dismal prognosis. Established treatment regimens commonly fail in these patients, therefore, there is an urgent need for new therapeutic concepts that will require a better understanding of the molecular and cellular functions of the ecotropic viral integration site 1 (EVI1) oncogene. To characterize gene regulatory functions of EVI1 and associated dependencies in AML, we developed experimentally tractable human and murine disease models, investigated the transcriptional consequences of EVI1 withdrawal in vitro and in vivo, and performed the first genome-wide CRISPR screens in EVI1-dependent AML. By integrating conserved transcriptional targets with genetic dependency data, we identified and characterized the ETS transcription factor ERG as a direct transcriptional target of EVI1 that is aberrantly expressed and selectively required in both human and murine EVI1-driven AML. EVI1 controls the expression of ERG and occupies a conserved intragenic enhancer region in AML cell lines and samples from patients with primary AML. Suppression of ERG induces terminal differentiation of EVI1-driven AML cells, whereas ectopic expression of ERG abrogates their dependence on EVI1, indicating that the major oncogenic functions of EVI1 are mediated through aberrant transcriptional activation of ERG. Interfering with this regulatory axis may provide entry points for the development of rational targeted therapies.
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8
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Nagel S. The Role of IRX Homeobox Genes in Hematopoietic Progenitors and Leukemia. Genes (Basel) 2023; 14:genes14020297. [PMID: 36833225 PMCID: PMC9957183 DOI: 10.3390/genes14020297] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/17/2023] [Accepted: 01/20/2023] [Indexed: 01/24/2023] Open
Abstract
IRX genes are members of the TALE homeobox gene class and encode six related transcription factors (IRX1-IRX6) controlling development and cell differentiation of several tissues in humans. Classification of TALE homeobox gene expression patterns for the hematopoietic compartment, termed TALE-code, has revealed exclusive IRX1 activity in pro-B-cells and megakaryocyte erythroid progenitors (MEPs), highlighting its specific contribution to developmental processes at these early stages of hematopoietic lineage differentiation. Moreover, aberrant expression of IRX homeobox genes IRX1, IRX2, IRX3 and IRX5 has been detected in hematopoietic malignancies, including B-cell precursor acute lymphoblastic leukemia (BCP-ALL), T-cell ALL, and some subtypes of acute myeloid leukemia (AML). Expression analyses of patient samples and experimental studies using cell lines and mouse models have revealed oncogenic functions in cell differentiation arrest and upstream and downstream genes, thus, revealing normal and aberrant regulatory networks. These studies have shown how IRX genes play key roles in the development of both normal blood and immune cells, and hematopoietic malignancies. Understanding their biology serves to illuminate developmental gene regulation in the hematopoietic compartment, and may improve diagnostic classification of leukemias in the clinic and reveal new therapeutic targets and strategies.
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Affiliation(s)
- Stefan Nagel
- Department of Human and Animal Cell Cultures, Leibniz-Institute DSMZ, 38124 Braunschweig, Germany
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9
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Adamo A, Chin P, Keane P, Assi SA, Potluri S, Kellaway SG, Coleman D, Ames L, Ptasinska A, Delwel HR, Cockerill PN, Bonifer C. Identification and interrogation of the gene regulatory network of CEBPA-double mutant acute myeloid leukemia. Leukemia 2023; 37:102-112. [PMID: 36333583 PMCID: PMC9883165 DOI: 10.1038/s41375-022-01744-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous hematological malignancy caused by mutations in genes encoding transcriptional and epigenetic regulators together with signaling genes. It is characterized by a disturbance of differentiation and abnormal proliferation of hematopoietic progenitors. We have previously shown that each AML subtype establishes its own core gene regulatory network (GRN), consisting of transcription factors binding to their target genes and imposing a specific gene expression pattern that is required for AML maintenance. In this study, we integrate gene expression, open chromatin and ChIP data with promoter-capture Hi-C data to define a refined core GRN common to all patients with CEBPA-double mutant (CEBPAN/C) AML. These mutations disrupt the structure of a major regulator of myelopoiesis. We identify the binding sites of mutated C/EBPα proteins in primary cells, we show that C/EBPα, AP-1 factors and RUNX1 colocalize and are required for AML maintenance, and we employ single cell experiments to link important network nodes to the specific differentiation trajectory from leukemic stem to blast cells. Taken together, our study provides an important resource which predicts the specific therapeutic vulnerabilities of this AML subtype in human cells.
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Affiliation(s)
- Assunta Adamo
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Paulynn Chin
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Peter Keane
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Salam A Assi
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Sandeep Potluri
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Sophie G Kellaway
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Daniel Coleman
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Luke Ames
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Anetta Ptasinska
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - H Ruud Delwel
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Peter N Cockerill
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Constanze Bonifer
- Institute of Cancer and Genomic Sciences, University of Birmingham, B152TT, Birmingham, UK.
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10
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Lenaerts A, Kucinski I, Deboutte W, Derecka M, Cauchy P, Manke T, Göttgens B, Grosschedl R. EBF1 primes B-lymphoid enhancers and limits the myeloid bias in murine multipotent progenitors. J Exp Med 2022; 219:e20212437. [PMID: 36048017 PMCID: PMC9437269 DOI: 10.1084/jem.20212437] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/23/2022] [Accepted: 08/03/2022] [Indexed: 11/04/2022] Open
Abstract
Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) generate all cells of the blood system. Despite their multipotency, MPPs display poorly understood lineage bias. Here, we examine whether lineage-specifying transcription factors, such as the B-lineage determinant EBF1, regulate lineage preference in early progenitors. We detect low-level EBF1 expression in myeloid-biased MPP3 and lymphoid-biased MPP4 cells, coinciding with expression of the myeloid determinant C/EBPα. Hematopoietic deletion of Ebf1 results in enhanced myelopoiesis and reduced HSC repopulation capacity. Ebf1-deficient MPP3 and MPP4 cells exhibit an augmented myeloid differentiation potential and a transcriptome with an enriched C/EBPα signature. Correspondingly, EBF1 binds the Cebpa enhancer, and the deficiency and overexpression of Ebf1 in MPP3 and MPP4 cells lead to an up- and downregulation of Cebpa expression, respectively. In addition, EBF1 primes the chromatin of B-lymphoid enhancers specifically in MPP3 cells. Thus, our study implicates EBF1 in regulating myeloid/lymphoid fate bias in MPPs by constraining C/EBPα-driven myelopoiesis and priming the B-lymphoid fate.
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Affiliation(s)
- Aurelie Lenaerts
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- International Max Planck Research School for Molecular and Cellular Biology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Iwo Kucinski
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Ward Deboutte
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Marta Derecka
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Pierre Cauchy
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Thomas Manke
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Berthold Göttgens
- Wellcome-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Rudolf Grosschedl
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
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11
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Che JLC, Bode D, Kucinski I, Cull AH, Bain F, Becker HJ, Jassinskaja M, Barile M, Boyd G, Belmonte M, Zeng AGX, Igarashi KJ, Rubio‐Lara J, Shepherd MS, Clay A, Dick JE, Wilkinson AC, Nakauchi H, Yamazaki S, Göttgens B, Kent DG. Identification and characterization of in vitro expanded hematopoietic stem cells. EMBO Rep 2022; 23:e55502. [PMID: 35971894 PMCID: PMC9535767 DOI: 10.15252/embr.202255502] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/21/2022] [Accepted: 07/27/2022] [Indexed: 12/13/2022] Open
Abstract
Hematopoietic stem cells (HSCs) cultured outside the body are the fundamental component of a wide range of cellular and gene therapies. Recent efforts have achieved > 200-fold expansion of functional HSCs, but their molecular characterization has not been possible since the majority of cells are non-HSCs and single cell-initiated cultures have substantial clone-to-clone variability. Using the Fgd5 reporter mouse in combination with the EPCR surface marker, we report exclusive identification of HSCs from non-HSCs in expansion cultures. By directly linking single-clone functional transplantation data with single-clone gene expression profiling, we show that the molecular profile of expanded HSCs is similar to proliferating fetal HSCs and reveals a gene expression signature, including Esam, Prdm16, Fstl1, and Palld, that can identify functional HSCs from multiple cellular states. This "repopulation signature" (RepopSig) also enriches for HSCs in human datasets. Together, these findings demonstrate the power of integrating functional and molecular datasets to better derive meaningful gene signatures and opens the opportunity for a wide range of functional screening and molecular experiments previously not possible due to limited HSC numbers.
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Affiliation(s)
- James L C Che
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
| | - Daniel Bode
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
| | - Iwo Kucinski
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
| | - Alyssa H Cull
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
| | - Fiona Bain
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
| | - Hans J Becker
- Division of Stem Cell Biology, Distinguished Professor Unit, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- Institute for Stem Cell Biology and Regenerative MedicineStanford University School of MedicineStanfordCAUSA
| | - Maria Jassinskaja
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
| | - Melania Barile
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
| | - Grace Boyd
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
| | - Miriam Belmonte
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
| | - Andy G X Zeng
- Princess Margaret Cancer CentreUniversity Health NetworkTorontoONCanada
- Department of Molecular GeneticsUniversity of TorontoTorontoONCanada
| | - Kyomi J Igarashi
- Department of GeneticsStanford University School of MedicineStanfordCAUSA
| | - Juan Rubio‐Lara
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
| | - Mairi S Shepherd
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
| | - Anna Clay
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
| | - John E Dick
- Princess Margaret Cancer CentreUniversity Health NetworkTorontoONCanada
- Department of Molecular GeneticsUniversity of TorontoTorontoONCanada
| | - Adam C Wilkinson
- MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of MedicineUniversity of OxfordOxfordUK
| | - Hiromitsu Nakauchi
- Division of Stem Cell Biology, Distinguished Professor Unit, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- Institute for Stem Cell Biology and Regenerative MedicineStanford University School of MedicineStanfordCAUSA
- Department of GeneticsStanford University School of MedicineStanfordCAUSA
| | - Satoshi Yamazaki
- Division of Stem Cell Biology, Center for Stem Cell Biology and Regenerative Medicine, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- Laboratory of Stem Cell Therapy, Faculty of MedicineUniversity of TsukubaIbarakiJapan
| | - Berthold Göttgens
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
| | - David G Kent
- Wellcome MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUK
- Department of HaematologyUniversity of CambridgeCambridgeUK
- Department of Biology, York Biomedical Research InstituteUniversity of YorkYorkUK
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12
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The Hematopoietic TALE-Code Shows Normal Activity of IRX1 in Myeloid Progenitors and Reveals Ectopic Expression of IRX3 and IRX5 in Acute Myeloid Leukemia. Int J Mol Sci 2022; 23:ijms23063192. [PMID: 35328612 PMCID: PMC8952210 DOI: 10.3390/ijms23063192] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/11/2022] [Accepted: 03/14/2022] [Indexed: 12/10/2022] Open
Abstract
Homeobox genes encode transcription factors that control basic developmental decisions. Knowledge of their hematopoietic activities casts light on normal and malignant immune cell development. Recently, we constructed the so-called lymphoid TALE-code that codifies expression patterns of all active TALE class homeobox genes in early hematopoiesis and lymphopoiesis. Here, we present the corresponding myeloid TALE-code to extend this gene signature, covering the entire hematopoietic system. The collective data showed expression patterns for eleven TALE homeobox genes and highlighted the exclusive expression of IRX1 in megakaryocyte-erythroid progenitors (MEPs), implicating this TALE class member in a specific myeloid differentiation process. Analysis of public profiling data from acute myeloid leukemia (AML) patients revealed aberrant activity of IRX1 in addition to IRX3 and IRX5, indicating an oncogenic role for these TALE homeobox genes when deregulated. Screening of RNA-seq data from 100 leukemia/lymphoma cell lines showed overexpression of IRX1, IRX3, and IRX5 in megakaryoblastic and myelomonocytic AML cell lines, chosen as suitable models for studying the regulation and function of these homeo-oncogenes. Genomic copy number analysis of IRX-positive cell lines demonstrated chromosomal amplification of the neighboring IRX3 and IRX5 genes at position 16q12 in MEGAL, underlying their overexpression in this cell line model. Comparative gene expression analysis of these cell lines revealed candidate upstream factors and target genes, namely the co-expression of GATA1 and GATA2 together with IRX1, and of BMP2 and HOXA10 with IRX3/IRX5. Subsequent knockdown and stimulation experiments in AML cell lines confirmed their activating impact in the corresponding IRX gene expression. Furthermore, we demonstrated that IRX1 activated KLF1 and TAL1, while IRX3 inhibited GATA1, GATA2, and FST. Accordingly, we propose that these regulatory relationships may represent major physiological and oncogenic activities of IRX factors in normal and malignant myeloid differentiation, respectively. Finally, the established myeloid TALE-code is a useful tool for evaluating TALE homeobox gene activities in AML.
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13
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Barman PK, Goodridge HS. Microbial Sensing by Hematopoietic Stem and Progenitor Cells. Stem Cells 2022; 40:14-21. [PMID: 35511863 PMCID: PMC9072977 DOI: 10.1093/stmcls/sxab007] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 09/09/2021] [Indexed: 01/21/2023]
Abstract
Balanced production of immune cells is critical for the maintenance of steady-state immune surveillance, and increased production of myeloid cells is sometimes necessary to eliminate pathogens. Hematopoietic stem and progenitor cell (HSPC) sensing of commensal microbes and invading pathogens has a notable impact on hematopoiesis. In this review, we examine how commensal microbes regulate bone marrow HSPC activity to maintain balanced hematopoiesis in the steady state, and how HSPCs proliferate and differentiate during emergency myelopoiesis in response to infection. HSPCs express a variety of pattern recognition receptors and cytokine receptors that they use to sense the presence of microbes, either directly via detection of microbial components and metabolites, or indirectly by responding to cytokines produced by other host cells. We describe direct and indirect mechanisms of microbial sensing by HSPCs and highlight evidence demonstrating long-term effects of acute and chronic microbial stimuli on HSPCs. We also discuss a possible connection between myeloid-biased hematopoiesis and elevated levels of circulating microbiome-derived components in the context of aging and metabolic stress. Finally, we highlight the prospect of trained immunity-based vaccines that could exploit microbial stimulation of HSPCs.
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Affiliation(s)
- Pijus K Barman
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Research Division of Immunology, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Helen S Goodridge
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Research Division of Immunology, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Corresponding author: Helen S. Goodridge, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA.
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14
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Thoms JAI, Truong P, Subramanian S, Knezevic K, Harvey G, Huang Y, Seneviratne JA, Carter DR, Joshi S, Skhinas J, Chacon D, Shah A, de Jong I, Beck D, Göttgens B, Larsson J, Wong JWH, Zanini F, Pimanda JE. Disruption of a GATA2-TAL1-ERG regulatory circuit promotes erythroid transition in healthy and leukemic stem cells. Blood 2021; 138:1441-1455. [PMID: 34075404 DOI: 10.1182/blood.2020009707] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 05/03/2021] [Indexed: 10/21/2022] Open
Abstract
Changes in gene regulation and expression govern orderly transitions from hematopoietic stem cells to terminally differentiated blood cell types. These transitions are disrupted during leukemic transformation, but knowledge of the gene regulatory changes underpinning this process is elusive. We hypothesized that identifying core gene regulatory networks in healthy hematopoietic and leukemic cells could provide insights into network alterations that perturb cell state transitions. A heptad of transcription factors (LYL1, TAL1, LMO2, FLI1, ERG, GATA2, and RUNX1) bind key hematopoietic genes in human CD34+ hematopoietic stem and progenitor cells (HSPCs) and have prognostic significance in acute myeloid leukemia (AML). These factors also form a densely interconnected circuit by binding combinatorially at their own, and each other's, regulatory elements. However, their mutual regulation during normal hematopoiesis and in AML cells, and how perturbation of their expression levels influences cell fate decisions remains unclear. In this study, we integrated bulk and single-cell data and found that the fully connected heptad circuit identified in healthy HSPCs persists, with only minor alterations in AML, and that chromatin accessibility at key heptad regulatory elements was predictive of cell identity in both healthy progenitors and leukemic cells. The heptad factors GATA2, TAL1, and ERG formed an integrated subcircuit that regulates stem cell-to-erythroid transition in both healthy and leukemic cells. Components of this triad could be manipulated to facilitate erythroid transition providing a proof of concept that such regulatory circuits can be harnessed to promote specific cell-type transitions and overcome dysregulated hematopoiesis.
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Affiliation(s)
| | - Peter Truong
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Shruthi Subramanian
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Kathy Knezevic
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Gregory Harvey
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Yizhou Huang
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
| | - Janith A Seneviratne
- Children's Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, UNSW Sydney, Kensington, NSW, Australia
| | - Daniel R Carter
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
- Children's Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, UNSW Sydney, Kensington, NSW, Australia
| | - Swapna Joshi
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Joanna Skhinas
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Diego Chacon
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
| | - Anushi Shah
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Ineke de Jong
- Division of Molecular Medicine and Gene Therapy, Lund Stem Cell Center, Lund University, Lund, Sweden
| | - Dominik Beck
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
| | - Berthold Göttgens
- Wellcome and Medical Research Council (MRC) Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | - Jonas Larsson
- Division of Molecular Medicine and Gene Therapy, Lund Stem Cell Center, Lund University, Lund, Sweden
| | - Jason W H Wong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Fabio Zanini
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia; and
| | - John E Pimanda
- School of Medical Sciences
- Adult Cancer Program, and
- Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
- Department of Haematology, Prince of Wales Hospital, Randwick, NSW, Australia
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15
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NKL-Code in Normal and Aberrant Hematopoiesis. Cancers (Basel) 2021; 13:cancers13081961. [PMID: 33921702 PMCID: PMC8073162 DOI: 10.3390/cancers13081961] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/13/2021] [Accepted: 04/15/2021] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Gene codes represent expression patterns of closely related genes in particular tissues, organs or body parts. The NKL-code describes the activity of NKL homeobox genes in the hematopoietic system. NKL homeobox genes encode transcription factors controlling basic developmental processes. Therefore, aberrations of this code may contribute to deregulated hematopoiesis including leukemia and lymphoma. Normal and abnormal activities of NKL homeobox genes are described and mechanisms of (de)regulation, function, and diseases exemplified. Abstract We have recently described physiological expression patterns of NKL homeobox genes in early hematopoiesis and in subsequent lymphopoiesis and myelopoiesis, including terminally differentiated blood cells. We thereby systematized differential expression patterns of eleven such genes which form the so-called NKL-code. Due to the developmental impact of NKL homeobox genes, these data suggest a key role for their activity in normal hematopoietic differentiation processes. On the other hand, the aberrant overexpression of NKL-code-members or the ectopical activation of non-code members have been frequently reported in lymphoid and myeloid leukemia/lymphoma, revealing the oncogenic potential of these genes in the hematopoietic compartment. Here, I provide an overview of the NKL-code in normal hematopoiesis and instance mechanisms of deregulation and oncogenic functions of selected NKL genes in hematologic cancers. As well as published clinical studies, our conclusions are based on experimental work using hematopoietic cell lines which represent useful models to characterize the role of NKL homeobox genes in specific tumor types.
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16
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Edginton-White B, Bonifer C. The transcriptional regulation of normal and malignant blood cell development. FEBS J 2021; 289:1240-1255. [PMID: 33511785 DOI: 10.1111/febs.15735] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/11/2021] [Accepted: 01/26/2021] [Indexed: 11/27/2022]
Abstract
Development of multicellular organisms requires the differential usage of our genetic information to change one cell fate into another. This process drives the appearance of different cell types that come together to form specialized tissues sustaining a healthy organism. In the last decade, by moving away from studying single genes toward a global view of gene expression control, a revolution has taken place in our understanding of how genes work together and how cells communicate to translate the information encoded in the genome into a body plan. The development of hematopoietic cells has long served as a paradigm of development in general. In this review, we highlight how transcription factors and chromatin components work together to shape the gene regulatory networks controlling gene expression in the hematopoietic system and to drive blood cell differentiation. In addition, we outline how this process goes astray in blood cancers. We also touch upon emerging concepts that place these processes firmly into their associated subnuclear structures adding another layer of the control of differential gene expression.
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Affiliation(s)
- Benjamin Edginton-White
- Institute of Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, UK
| | - Constanze Bonifer
- Institute of Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, UK
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