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Aurigemma I, Lanzetta O, Cirino A, Allegretti S, Lania G, Ferrentino R, Poondi Krishnan V, Angelini C, Illingworth E, Baldini A. Endothelial gene regulatory elements associated with cardiopharyngeal lineage differentiation. Commun Biol 2024; 7:351. [PMID: 38514806 PMCID: PMC10957928 DOI: 10.1038/s42003-024-06017-8] [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] [Received: 07/21/2023] [Accepted: 03/06/2024] [Indexed: 03/23/2024] Open
Abstract
Endothelial cells (EC) differentiate from multiple sources, including the cardiopharyngeal mesoderm, which gives rise also to cardiac and branchiomeric muscles. The enhancers activated during endothelial differentiation within the cardiopharyngeal mesoderm are not completely known. Here, we use a cardiogenic mesoderm differentiation model that activates an endothelial transcription program to identify endothelial regulatory elements activated in early cardiogenic mesoderm. Integrating chromatin remodeling and gene expression data with available single-cell RNA-seq data from mouse embryos, we identify 101 putative regulatory elements of EC genes. We then apply a machine-learning strategy, trained on validated enhancers, to predict enhancers. Using this computational assay, we determine that 50% of these sequences are likely enhancers, some of which are already reported. We also identify a smaller set of regulatory elements of well-known EC genes and validate them using genetic and epigenetic perturbation. Finally, we integrate multiple data sources and computational tools to search for transcriptional factor binding motifs. In conclusion, we show EC regulatory sequences with a high likelihood to be enhancers, and we validate a subset of them using computational and cell culture models. Motif analyses show that the core EC transcription factors GATA/ETS/FOS is a likely driver of EC regulation in cardiopharyngeal mesoderm.
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Affiliation(s)
- Ilaria Aurigemma
- PhD program in Molecular Medicine and Medical Biotechnology, University Federico II, Via Sergio Pansini 5, 80131, Naples, Italy
- Department of Chemistry and Biology, University of Salerno, Via Giovanni Paolo II 132, 84084, Fisciano, Italy
| | - Olga Lanzetta
- Institute of Genetics and Biophysics, National Research Council, Via Pietro Castellino 111, 80131, Naples, Italy
| | - Andrea Cirino
- Institute of Genetics and Biophysics, National Research Council, Via Pietro Castellino 111, 80131, Naples, Italy
| | - Sara Allegretti
- PhD program in Molecular Medicine and Medical Biotechnology, University Federico II, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Gabriella Lania
- Institute of Genetics and Biophysics, National Research Council, Via Pietro Castellino 111, 80131, Naples, Italy
| | - Rosa Ferrentino
- Institute of Genetics and Biophysics, National Research Council, Via Pietro Castellino 111, 80131, Naples, Italy
| | - Varsha Poondi Krishnan
- Institute of Genetics and Biophysics, National Research Council, Via Pietro Castellino 111, 80131, Naples, Italy
| | - Claudia Angelini
- Istituto Applicazioni del Calcolo, National Research Council, Via Pietro Castellino 111, 80131, Naples, Italy
| | - Elizabeth Illingworth
- Department of Chemistry and Biology, University of Salerno, Via Giovanni Paolo II 132, 84084, Fisciano, Italy
| | - Antonio Baldini
- PhD program in Molecular Medicine and Medical Biotechnology, University Federico II, Via Sergio Pansini 5, 80131, Naples, Italy.
- Department of Molecular Medicine and Medical Biotechnology, University Federico II, Via Sergio Pansini 5, 80131, Naples, Italy.
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2
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Thoms JAI, Koch F, Raei A, Subramanian S, Wong JH, Vafaee F, Pimanda J. BloodChIP Xtra: an expanded database of comparative genome-wide transcription factor binding and gene-expression profiles in healthy human stem/progenitor subsets and leukemic cells. Nucleic Acids Res 2024; 52:D1131-D1137. [PMID: 37870453 PMCID: PMC10767868 DOI: 10.1093/nar/gkad918] [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: 09/15/2023] [Revised: 10/04/2023] [Accepted: 10/09/2023] [Indexed: 10/24/2023] Open
Abstract
The BloodChIP Xtra database (http://bloodchipXtra.vafaeelab.com/) facilitates genome-wide exploration and visualization of transcription factor (TF) occupancy and chromatin configuration in rare primary human hematopoietic stem (HSC-MPP) and progenitor (CMP, GMP, MEP) cells and acute myeloid leukemia (AML) cell lines (KG-1, ME-1, Kasumi1, TSU-1621-MT), along with chromatin accessibility and gene expression data from these and primary patient AMLs. BloodChIP Xtra features significantly more datasets than our earlier database BloodChIP (two primary cell types and two cell lines). Improved methodologies for determining TF occupancy and chromatin accessibility have led to increased availability of data for rare primary cell types across the spectrum of healthy and AML hematopoiesis. However, there is a continuing need for these data to be integrated in an easily accessible manner for gene-based queries and use in downstream applications. Here, we provide a user-friendly database based around genome-wide binding profiles of key hematopoietic TFs and histone marks in healthy stem/progenitor cell types. These are compared with binding profiles and chromatin accessibility derived from primary and cell line AML and integrated with expression data from corresponding cell types. All queries can be exported to construct TF-gene and protein-protein networks and evaluate the association of genes with specific cellular processes.
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Affiliation(s)
- Julie A I Thoms
- School of Biomedical Sciences, University of New South Wales, Sydney, Australia
| | - Forrest C Koch
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Alireza Raei
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Shruthi Subramanian
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Jason W H Wong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Fatemeh Vafaee
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
- UNSW Data Science Hub, University of New South Wales, Sydney, Australia
| | - John E Pimanda
- School of Biomedical Sciences, University of New South Wales, Sydney, Australia
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Haematology Department, Prince of Wales Hospital, Sydney, Australia
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3
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Payne S, Neal A, De Val S. Transcription factors regulating vasculogenesis and angiogenesis. Dev Dyn 2024; 253:28-58. [PMID: 36795082 PMCID: PMC10952167 DOI: 10.1002/dvdy.575] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 02/06/2023] [Accepted: 02/06/2023] [Indexed: 02/17/2023] Open
Abstract
Transcription factors (TFs) play a crucial role in regulating the dynamic and precise patterns of gene expression required for the initial specification of endothelial cells (ECs), and during endothelial growth and differentiation. While sharing many core features, ECs can be highly heterogeneous. Differential gene expression between ECs is essential to pattern the hierarchical vascular network into arteries, veins and capillaries, to drive angiogenic growth of new vessels, and to direct specialization in response to local signals. Unlike many other cell types, ECs have no single master regulator, instead relying on differing combinations of a necessarily limited repertoire of TFs to achieve tight spatial and temporal activation and repression of gene expression. Here, we will discuss the cohort of TFs known to be involved in directing gene expression during different stages of mammalian vasculogenesis and angiogenesis, with a primary focus on development.
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Affiliation(s)
- Sophie Payne
- Department of Physiology, Anatomy and GeneticsInstitute of Developmental and Regenerative Medicine, University of OxfordOxfordUK
| | - Alice Neal
- Department of Physiology, Anatomy and GeneticsInstitute of Developmental and Regenerative Medicine, University of OxfordOxfordUK
| | - Sarah De Val
- Department of Physiology, Anatomy and GeneticsInstitute of Developmental and Regenerative Medicine, University of OxfordOxfordUK
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4
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Fechner J, Lausen J. Transcription Factor TAL1 in Erythropoiesis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1459:243-258. [PMID: 39017847 DOI: 10.1007/978-3-031-62731-6_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
Lineage-specific transcription factors (TFs) regulate differentiation of hematopoietic stem cells (HSCs). They are decisive for the establishment and maintenance of lineage-specific gene expression programs during hematopoiesis. For this they create a regulatory network between TFs, epigenetic cofactors, and microRNAs. They activate cell-type specific genes and repress competing gene expression programs. Disturbance of this process leads to impaired lineage fidelity and diseases of the blood system. The TF T-cell acute leukemia 1 (TAL1) is central for erythroid differentiation and contributes to the formation of distinct gene regulatory complexes in progenitor cells and erythroid cells. A TAL1/E47 heterodimer binds to DNA with the TFs GATA-binding factor 1 and 2 (GATA1/2), the cofactors LIM domain only 1 and 2 (LMO1/2), and LIM domain-binding protein 1 (LDB1) to form a core TAL1 complex. Furthermore, cell-type-dependent interactions of TAL1 with other TFs such as with runt-related transcription factor 1 (RUNX1) and Kruppel-like factor 1 (KLF1) are established. Moreover, TAL1 activity is regulated by the formation of TAL1 isoforms, posttranslational modifications (PTMs), and microRNAs. Here, we describe the function of TAL1 in normal hematopoiesis with a focus on erythropoiesis.
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Affiliation(s)
- Johannes Fechner
- Department of Eukaryotic Genetics, Institute of Biomedical Genetics, University of Stuttgart, Stuttgart, Germany
| | - Jörn Lausen
- Department of Eukaryotic Genetics, Institute of Biomedical Genetics, University of Stuttgart, Stuttgart, Germany.
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5
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Chang Y, Hummel SN, Jung J, Jin G, Deng Q, Bao X. Engineered hematopoietic and immune cells derived from human pluripotent stem cells. Exp Hematol 2023; 127:14-27. [PMID: 37611730 PMCID: PMC10615717 DOI: 10.1016/j.exphem.2023.08.006] [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: 05/31/2023] [Revised: 08/09/2023] [Accepted: 08/17/2023] [Indexed: 08/25/2023]
Abstract
For the past decade, significant advances have been achieved in human hematopoietic stem cell (HSC) transplantation for treating various blood diseases and cancers. However, challenges remain with the quality control, amount, and cost of HSCs and HSC-derived immune cells. The advent of human pluripotent stem cells (hPSCs) may transform HSC transplantation and cancer immunotherapy by providing a cost-effective and scalable cell source for fundamental studies and translational applications. In this review, we discuss the current developments in the field of stem cell engineering for hematopoietic stem and progenitor cell (HSPC) differentiation and further differentiation of HSPCs into functional immune cells. The key advances in stem cell engineering include the generation of HSPCs from hPSCs, genetic modification of hPSCs, and hPSC-derived HSPCs for improved function, further differentiation of HPSCs into functional immune cells, and applications of cell culture platforms for hematopoietic cell manufacturing. Current challenges impeding the translation of hPSC-HSPCs and immune cells as well as further directions to address these challenges are also discussed.
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Affiliation(s)
- Yun Chang
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana; Purdue University Institute for Cancer Research, West Lafayette, Indiana
| | - Sydney N Hummel
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana; Purdue University Institute for Cancer Research, West Lafayette, Indiana
| | - Juhyung Jung
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana; Purdue University Institute for Cancer Research, West Lafayette, Indiana
| | - Gyuhyung Jin
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana; Purdue University Institute for Cancer Research, West Lafayette, Indiana
| | - Qing Deng
- Purdue University Institute for Cancer Research, West Lafayette, Indiana; Department of Biological Sciences, Purdue University, West Lafayette, Indiana
| | - Xiaoping Bao
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana; Purdue University Institute for Cancer Research, West Lafayette, Indiana.
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6
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Subramanian S, Thoms JAI, Huang Y, Cornejo-Páramo P, Koch FC, Jacquelin S, Shen S, Song E, Joshi S, Brownlee C, Woll PS, Chacon-Fajardo D, Beck D, Curtis DJ, Yehson K, Antonenas V, O'Brien T, Trickett A, Powell JA, Lewis ID, Pitson SM, Gandhi MK, Lane SW, Vafaee F, Wong ES, Göttgens B, Alinejad-Rokny H, Wong JWH, Pimanda JE. Genome-wide transcription factor-binding maps reveal cell-specific changes in the regulatory architecture of human HSPCs. Blood 2023; 142:1448-1462. [PMID: 37595278 PMCID: PMC10651876 DOI: 10.1182/blood.2023021120] [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: 05/10/2023] [Revised: 07/06/2023] [Accepted: 07/25/2023] [Indexed: 08/20/2023] Open
Abstract
Hematopoietic stem and progenitor cells (HSPCs) rely on a complex interplay among transcription factors (TFs) to regulate differentiation into mature blood cells. A heptad of TFs (FLI1, ERG, GATA2, RUNX1, TAL1, LYL1, LMO2) bind regulatory elements in bulk CD34+ HSPCs. However, whether specific heptad-TF combinations have distinct roles in regulating hematopoietic differentiation remains unknown. We mapped genome-wide chromatin contacts (HiC, H3K27ac, HiChIP), chromatin modifications (H3K4me3, H3K27ac, H3K27me3) and 10 TF binding profiles (heptad, PU.1, CTCF, STAG2) in HSPC subsets (stem/multipotent progenitors plus common myeloid, granulocyte macrophage, and megakaryocyte erythrocyte progenitors) and found TF occupancy and enhancer-promoter interactions varied significantly across cell types and were associated with cell-type-specific gene expression. Distinct regulatory elements were enriched with specific heptad-TF combinations, including stem-cell-specific elements with ERG, and myeloid- and erythroid-specific elements with combinations of FLI1, RUNX1, GATA2, TAL1, LYL1, and LMO2. Furthermore, heptad-occupied regions in HSPCs were subsequently bound by lineage-defining TFs, including PU.1 and GATA1, suggesting that heptad factors may prime regulatory elements for use in mature cell types. We also found that enhancers with cell-type-specific heptad occupancy shared a common grammar with respect to TF binding motifs, suggesting that combinatorial binding of TF complexes was at least partially regulated by features encoded in DNA sequence motifs. Taken together, this study comprehensively characterizes the gene regulatory landscape in rare subpopulations of human HSPCs. The accompanying data sets should serve as a valuable resource for understanding adult hematopoiesis and a framework for analyzing aberrant regulatory networks in leukemic cells.
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Affiliation(s)
- Shruthi Subramanian
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Julie A. I. Thoms
- School of Biomedical Sciences, University of New South Wales, Sydney, Australia
| | - Yizhou Huang
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology Sydney, Sydney, Australia
| | | | - Forrest C. Koch
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, Australia
| | | | - Sylvie Shen
- Bone Marrow Transplant Laboratory, NSW Health Pathology, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Emma Song
- Bone Marrow Transplant Laboratory, NSW Health Pathology, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Swapna Joshi
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Chris Brownlee
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
| | - Petter S. Woll
- Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Huddinge, Sweden
| | - Diego Chacon-Fajardo
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology Sydney, Sydney, Australia
| | - Dominik Beck
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology Sydney, Sydney, Australia
| | - David J. Curtis
- Australian Centre for Blood Diseases, Monash University, Melbourne, VIC, Australia
| | - Kenneth Yehson
- Blood Transplant and Cell Therapies Laboratory, NSW Health Pathology, Westmead, NSW, Australia
| | - Vicki Antonenas
- Blood Transplant and Cell Therapies Laboratory, NSW Health Pathology, Westmead, NSW, Australia
| | | | - Annette Trickett
- Bone Marrow Transplant Laboratory, NSW Health Pathology, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Jason A. Powell
- Centre for Cancer Biology, SA Pathology, University of South Australia, Adelaide, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, Australia
| | - Ian D. Lewis
- Centre for Cancer Biology, SA Pathology, University of South Australia, Adelaide, Australia
| | - Stuart M. Pitson
- Centre for Cancer Biology, SA Pathology, University of South Australia, Adelaide, Australia
| | - Maher K. Gandhi
- Blood Cancer Research Group, Mater Research, The University of Queensland, Brisbane, QLD, Australia
| | - Steven W. Lane
- Cancer Program, QIMR Berghofer Medical Research, Brisbane, Australia
| | - Fatemeh Vafaee
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, Australia
- UNSW Data Science Hub, University of New South Wales, Sydney, Australia
| | - Emily S. Wong
- Victor Chang Cardiac Research Institute, Sydney, Australia
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, Australia
| | - Berthold Göttgens
- Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | - Hamid Alinejad-Rokny
- BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia
| | - Jason W. H. Wong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - John E. Pimanda
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, Australia
- Haematology Department, Prince of Wales Hospital, Sydney, Australia
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7
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Ray S, Hewitt K. Sticky, Adaptable, and Many-sided: SAM protein versatility in normal and pathological hematopoietic states. Bioessays 2023; 45:e2300022. [PMID: 37318311 PMCID: PMC10527593 DOI: 10.1002/bies.202300022] [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] [Received: 02/01/2023] [Revised: 05/10/2023] [Accepted: 05/15/2023] [Indexed: 06/16/2023]
Abstract
With decades of research seeking to generalize sterile alpha motif (SAM) biology, many outstanding questions remain regarding this multi-tool protein module. Recent data from structural and molecular/cell biology has begun to reveal new SAM modes of action in cell signaling cascades and biomolecular condensation. SAM-dependent mechanisms underlie blood-related (hematologic) diseases, including myelodysplastic syndromes and leukemias, prompting our focus on hematopoiesis for this review. With the increasing coverage of SAM-dependent interactomes, a hypothesis emerges that SAM interaction partners and binding affinities work to fine tune cell signaling cascades in developmental and disease contexts, including hematopoiesis and hematologic disease. This review discusses what is known and remains unknown about the standard mechanisms and neoplastic properties of SAM domains and what the future might hold for developing SAM-targeted therapies.
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Affiliation(s)
- Suhita Ray
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, United States
| | - Kyle Hewitt
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, United States
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8
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Johnson KD, Jung MM, Tran VL, Bresnick EH. Interferon regulatory factor-8-dependent innate immune alarm senses GATA2 deficiency to alter hematopoietic differentiation and function. Curr Opin Hematol 2023; 30:117-123. [PMID: 37254854 PMCID: PMC10236032 DOI: 10.1097/moh.0000000000000763] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
PURPOSE OF REVIEW Recent discoveries have provided evidence for mechanistic links between the master regulator of hematopoiesis GATA2 and the key component of interferon and innate immunity signaling pathways, interferon-regulatory factor-8 (IRF8). These links have important implications for the control of myeloid differentiation in physiological and pathological states. RECENT FINDINGS GATA2 deficiency resulting from loss of the Gata2 -77 enhancer in progenitors triggers an alarm that instigates the transcriptional induction of innate immune signaling and distorts a myeloid differentiation program. This pathological alteration renders progenitors hyperresponsive to interferon γ, toll-like receptor and interleukin-6 signaling and impaired in granulocyte-macrophage colony-stimulating factor signaling. IRF8 upregulation in -77-/- progenitors promotes monocyte and dendritic cell differentiation while suppressing granulocytic differentiation. As PU.1 promotes transcription of Irf8 and other myeloid and B-lineage genes, GATA2-mediated repression of these genes opposes the PU.1-dependent activating mechanism. SUMMARY As GATA2 deficiency syndrome is an immunodeficiency disorder often involving myelodysplastic syndromes and acute myeloid leukemia, elucidating how GATA2 commissions and decommissions genome activity and developmental regulatory programs will unveil mechanisms that go awry when GATA2 levels and/or activities are disrupted.
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Affiliation(s)
- Kirby D Johnson
- Wisconsin Blood Cancer Research Institute, Department of Cell and Regenerative Biology, Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
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9
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De Novo Generation of Human Hematopoietic Stem Cells from Pluripotent Stem Cells for Cellular Therapy. Cells 2023; 12:cells12020321. [PMID: 36672255 PMCID: PMC9857267 DOI: 10.3390/cells12020321] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/02/2023] [Accepted: 01/11/2023] [Indexed: 01/19/2023] Open
Abstract
The ability to manufacture human hematopoietic stem cells (HSCs) in the laboratory holds enormous promise for cellular therapy of human blood diseases. Several differentiation protocols have been developed to facilitate the emergence of HSCs from human pluripotent stem cells (PSCs). Most approaches employ a stepwise addition of cytokines and morphogens to recapitulate the natural developmental process. However, these protocols globally lack clinical relevance and uniformly induce PSCs to produce hematopoietic progenitors with embryonic features and limited engraftment and differentiation capabilities. This review examines how key intrinsic cues and extrinsic environmental inputs have been integrated within human PSC differentiation protocols to enhance the emergence of definitive hematopoiesis and how advances in genomics set the stage for imminent breakthroughs in this field.
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10
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In vivo clonal tracking reveals evidence of haemangioblast and haematomesoblast contribution to yolk sac haematopoiesis. Nat Commun 2023; 14:41. [PMID: 36596806 PMCID: PMC9810727 DOI: 10.1038/s41467-022-35744-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 12/22/2022] [Indexed: 01/05/2023] Open
Abstract
During embryogenesis, haematopoietic and endothelial lineages emerge closely in time and space. It is thought that the first blood and endothelium derive from a common clonal ancestor, the haemangioblast. However, investigation of candidate haemangioblasts in vitro revealed the capacity for mesenchymal differentiation, a feature more compatible with an earlier mesodermal precursor. To date, no evidence for an in vivo haemangioblast has been discovered. Using single cell RNA-Sequencing and in vivo cellular barcoding, we have unravelled the ancestral relationships that give rise to the haematopoietic lineages of the yolk sac, the endothelium, and the mesenchyme. We show that the mesodermal derivatives of the yolk sac are produced by three distinct precursors with dual-lineage outcomes: the haemangioblast, the mesenchymoangioblast, and a previously undescribed cell type: the haematomesoblast. Between E5.5 and E7.5, this trio of precursors seeds haematopoietic, endothelial, and mesenchymal trajectories.
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11
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Zhang X, Yang Y, Wei Y, Zhao Q, Lou X. blf and the drl cluster synergistically regulate cell fate commitment during zebrafish primitive hematopoiesis. Development 2022; 149:285945. [PMID: 36420817 DOI: 10.1242/dev.200919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 11/14/2022] [Indexed: 11/25/2022]
Abstract
Hematopoiesis is a highly coordinated process that generates all the body's blood cells, and perturbations in embryonic hematopoiesis may result in illnesses ranging from fetal anemia to various leukemias. Correct establishment of hematopoietic progenitor cell fate is essential for the development of adequate blood cell subpopulations, although regulators of cell fate commitment have not been fully defined. Here, we show that primary erythropoiesis and myelopoiesis in zebrafish embryos are synergistically regulated by blf and the drl cluster, as simultaneous depletion led to severe erythrocyte aplasia and excessive macrophage formation at the expense of neutrophil development. Integrative analysis of transcriptome- and genome-wide binding data revealed that blf and drl cluster genes are responsible for constraining the expression of vasculogenesis-promoting genes in the intermediate cell mass and monocytopoiesis-promoting genes in the rostral blood island. This indicates that blf and drl cluster genes act as determinants of the fate commitment of erythroid and myeloid progenitor cells. Furthermore, a rescue screen demonstrated that Zfp932 is a potential mammalian functional equivalent to zebrafish blf and drl cluster genes. Our data provide insight into conserved cell fate commitment mechanisms of primitive hematopoiesis.
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Affiliation(s)
- Xue Zhang
- Medical School, Nanjing University, Nanjing, 210093, China
| | - Yuxi Yang
- Medical School, Nanjing University, Nanjing, 210093, China
| | - Yuxuan Wei
- Medical School, Nanjing University, Nanjing, 210093, China
| | - Qingshun Zhao
- Medical School, Nanjing University, Nanjing, 210093, China
| | - Xin Lou
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311100, China
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12
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Larcombe MR, Hsu S, Polo JM, Knaupp AS. Indirect Mechanisms of Transcription Factor-Mediated Gene Regulation during Cell Fate Changes. ADVANCED GENETICS (HOBOKEN, N.J.) 2022; 3:2200015. [PMID: 36911290 PMCID: PMC9993476 DOI: 10.1002/ggn2.202200015] [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: 04/05/2022] [Indexed: 06/18/2023]
Abstract
Transcription factors (TFs) are the master regulators of cellular identity, capable of driving cell fate transitions including differentiations, reprogramming, and transdifferentiations. Pioneer TFs recognize partial motifs exposed on nucleosomal DNA, allowing for TF-mediated activation of repressed chromatin. Moreover, there is evidence suggesting that certain TFs can repress actively expressed genes either directly through interactions with accessible regulatory elements or indirectly through mechanisms that impact the expression, activity, or localization of other regulatory factors. Recent evidence suggests that during reprogramming, the reprogramming TFs initiate opening of chromatin regions rich in somatic TF motifs that are inaccessible in the initial and final cellular states. It is postulated that analogous to a sponge, these transiently accessible regions "soak up" somatic TFs, hence lowering the initial barriers to cell fate changes. This indirect TF-mediated gene regulation event, which is aptly named the "sponge effect," may play an essential role in the silencing of the somatic transcriptional network during different cellular conversions.
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Affiliation(s)
- Michael R. Larcombe
- Department of Anatomy and Developmental BiologyMonash UniversityClaytonVictoria3168Australia
- Development and Stem Cells ProgramMonash Biomedicine Discovery InstituteClaytonVictoria3168Australia
- Australian Regenerative Medicine InstituteMonash UniversityClaytonVictoria3168Australia
| | - Sheng Hsu
- Department of Anatomy and Developmental BiologyMonash UniversityClaytonVictoria3168Australia
- Development and Stem Cells ProgramMonash Biomedicine Discovery InstituteClaytonVictoria3168Australia
- Australian Regenerative Medicine InstituteMonash UniversityClaytonVictoria3168Australia
| | - Jose M. Polo
- Department of Anatomy and Developmental BiologyMonash UniversityClaytonVictoria3168Australia
- Development and Stem Cells ProgramMonash Biomedicine Discovery InstituteClaytonVictoria3168Australia
- Australian Regenerative Medicine InstituteMonash UniversityClaytonVictoria3168Australia
- South Australian Immunogenomics Cancer Institute, Faculty of Health and Medical SciencesUniversity of AdelaideAdelaideSouth Australia5005Australia
- Adelaide Centre for Epigenetics, Faculty of Health and Medical SciencesUniversity of AdelaideAdelaideSouth Australia5005Australia
| | - Anja S. Knaupp
- Department of Anatomy and Developmental BiologyMonash UniversityClaytonVictoria3168Australia
- Development and Stem Cells ProgramMonash Biomedicine Discovery InstituteClaytonVictoria3168Australia
- Australian Regenerative Medicine InstituteMonash UniversityClaytonVictoria3168Australia
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13
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Chandrakanthan V, Rorimpandey P, Zanini F, Chacon D, Olivier J, Joshi S, Kang YC, Knezevic K, Huang Y, Qiao Q, Oliver RA, Unnikrishnan A, Carter DR, Lee B, Brownlee C, Power C, Brink R, Mendez-Ferrer S, Enikolopov G, Walsh W, Göttgens B, Taoudi S, Beck D, Pimanda JE. Mesoderm-derived PDGFRA + cells regulate the emergence of hematopoietic stem cells in the dorsal aorta. Nat Cell Biol 2022; 24:1211-1225. [PMID: 35902769 PMCID: PMC9359911 DOI: 10.1038/s41556-022-00955-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 06/06/2022] [Indexed: 12/13/2022]
Abstract
Mouse haematopoietic stem cells (HSCs) first emerge at embryonic day 10.5 (E10.5), on the ventral surface of the dorsal aorta, by endothelial-to-haematopoietic transition. We investigated whether mesenchymal stem cells, which provide an essential niche for long-term HSCs (LT-HSCs) in the bone marrow, reside in the aorta-gonad-mesonephros and contribute to the development of the dorsal aorta and endothelial-to-haematopoietic transition. Here we show that mesoderm-derived PDGFRA+ stromal cells (Mesp1der PSCs) contribute to the haemogenic endothelium of the dorsal aorta and populate the E10.5-E11.5 aorta-gonad-mesonephros but by E13.5 were replaced by neural-crest-derived PSCs (Wnt1der PSCs). Co-aggregating non-haemogenic endothelial cells with Mesp1der PSCs but not Wnt1der PSCs resulted in activation of a haematopoietic transcriptional programme in endothelial cells and generation of LT-HSCs. Dose-dependent inhibition of PDGFRA or BMP, WNT and NOTCH signalling interrupted this reprogramming event. Together, aorta-gonad-mesonephros Mesp1der PSCs could potentially be harnessed to manufacture LT-HSCs from endothelium.
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Affiliation(s)
- Vashe Chandrakanthan
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia. .,Department of Pathology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia.
| | - Prunella Rorimpandey
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia.,Department of Pathology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Fabio Zanini
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia.,School of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia.,Garvan-Weizmann Centre for Cellular Genomics, Sydney, Australia.,UNSW Futures Institute for Cellular Genomics, Sydney, Australia
| | - Diego Chacon
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
| | - Jake Olivier
- School of Mathematics and Statistics, UNSW Sydney, Sydney, NSW, Australia
| | - Swapna Joshi
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia.,Department of Pathology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Young Chan Kang
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia.,Department of Pathology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Kathy Knezevic
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia.,Department of Pathology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Yizhou Huang
- School of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia.,School of Mathematics and Statistics, UNSW Sydney, Sydney, NSW, Australia.,Children's Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Qiao Qiao
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Rema A Oliver
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Clinical School, UNSW Sydney, Sydney, NSW, Australia
| | - Ashwin Unnikrishnan
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia.,School of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Daniel R Carter
- School of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia.,School of Mathematics and Statistics, UNSW Sydney, Sydney, NSW, Australia.,Children's Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Brendan Lee
- Biological Resources Imaging Laboratory, Mark Wainwright Analytical Centre, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Chris Brownlee
- Biological Resources Imaging Laboratory, Mark Wainwright Analytical Centre, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Carl Power
- Biological Resources Imaging Laboratory, Mark Wainwright Analytical Centre, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Robert Brink
- Garvan Institute of Medical Research, Sydney, NSW, Australia.,UNSW Sydney, Sydney, NSW, Australia
| | - Simon Mendez-Ferrer
- Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK
| | - Grigori Enikolopov
- Center for Developmental Genetics and Department of Anesthesiology, Stony Brook University, Stony Brook, NY, USA
| | - William Walsh
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Clinical School, UNSW Sydney, Sydney, NSW, Australia
| | - Berthold Göttgens
- Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK
| | - Samir Taoudi
- Epigenetics and development division, Walter and Eliza Hall Institute, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Dominik Beck
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
| | - John E Pimanda
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia. .,Department of Pathology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia. .,Department of Haematology, The Prince of Wales Hospital, Sydney, NSW, Australia.
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14
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Hemogenic and aortic endothelium arise from a common hemogenic angioblast precursor and are specified by the Etv2 dosage. Proc Natl Acad Sci U S A 2022; 119:e2119051119. [PMID: 35333649 PMCID: PMC9060440 DOI: 10.1073/pnas.2119051119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
SignificanceHematopoietic stem cells (HSCs) are generated from specialized endothelial cells, called hemogenic endothelial cells (HECs). It has been debated whether HECs and non-HSC-forming conventional endothelial cells (cECs) arise from a common precursor or represent distinct lineages. Moreover, the molecular basis underlying their distinct fate determination is poorly understood. We use photoconvertible labeling, time-lapse imaging, and single-cell RNA-sequencing analysis to trace the lineage of HECs. We discovered that HECs and cECs arise from a common hemogenic angioblast precursor, and their distinct fate is determined by high or low dosage of Etv2, respectively. Our results illuminate the lineage origin and a mechanism on the fate determination of HECs, which may enhance the understanding on the ontogeny of HECs in vertebrates.
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15
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Zug R. Developmental disorders caused by haploinsufficiency of transcriptional regulators: a perspective based on cell fate determination. Biol Open 2022; 11:bio058896. [PMID: 35089335 PMCID: PMC8801891 DOI: 10.1242/bio.058896] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Many human birth defects and neurodevelopmental disorders are caused by loss-of-function mutations in a single copy of transcription factor (TF) and chromatin regulator genes. Although this dosage sensitivity has long been known, how and why haploinsufficiency (HI) of transcriptional regulators leads to developmental disorders (DDs) is unclear. Here I propose the hypothesis that such DDs result from defects in cell fate determination that are based on disrupted bistability in the underlying gene regulatory network (GRN). Bistability, a crucial systems biology concept to model binary choices such as cell fate decisions, requires both positive feedback and ultrasensitivity, the latter often achieved through TF cooperativity. The hypothesis explains why dosage sensitivity of transcriptional regulators is an inherent property of fate decisions, and why disruption of either positive feedback or cooperativity in the underlying GRN is sufficient to cause disease. I present empirical and theoretical evidence in support of this hypothesis and discuss several issues for which it increases our understanding of disease, such as incomplete penetrance. The proposed framework provides a mechanistic, systems-level explanation of HI of transcriptional regulators, thus unifying existing theories, and offers new insights into outstanding issues of human disease. This article has an associated Future Leader to Watch interview with the author of the paper.
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Affiliation(s)
- Roman Zug
- Department of Biology, Lund University, 22362 Lund, Sweden
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16
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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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17
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Blood and immune development in human fetal bone marrow and Down syndrome. Nature 2021; 598:327-331. [PMID: 34588693 DOI: 10.1038/s41586-021-03929-x] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 08/18/2021] [Indexed: 01/07/2023]
Abstract
Haematopoiesis in the bone marrow (BM) maintains blood and immune cell production throughout postnatal life. Haematopoiesis first emerges in human BM at 11-12 weeks after conception1,2, yet almost nothing is known about how fetal BM (FBM) evolves to meet the highly specialized needs of the fetus and newborn. Here we detail the development of FBM, including stroma, using multi-omic assessment of mRNA and multiplexed protein epitope expression. We find that the full blood and immune cell repertoire is established in FBM in a short time window of 6-7 weeks early in the second trimester. FBM promotes rapid and extensive diversification of myeloid cells, with granulocytes, eosinophils and dendritic cell subsets emerging for the first time. The substantial expansion of B lymphocytes in FBM contrasts with fetal liver at the same gestational age. Haematopoietic progenitors from fetal liver, FBM and cord blood exhibit transcriptional and functional differences that contribute to tissue-specific identity and cellular diversification. Endothelial cell types form distinct vascular structures that we show are regionally compartmentalized within FBM. Finally, we reveal selective disruption of B lymphocyte, erythroid and myeloid development owing to a cell-intrinsic differentiation bias as well as extrinsic regulation through an altered microenvironment in Down syndrome (trisomy 21).
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18
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Xiao P, Chen P, Lang X, An Q, Yang C, Chen S, Wang K, Chen N, Hao Y, Ding J, Li Z, Hu S, Xiao S. Ovarian germ cell tumor/mastocytosis with KIT mutation: A unique clinicopathological entity. Genes Chromosomes Cancer 2021; 61:50-54. [PMID: 34553465 DOI: 10.1002/gcc.23000] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/16/2021] [Accepted: 09/20/2021] [Indexed: 11/10/2022] Open
Abstract
Most tumors are sporadic and originated from somatic mutations. Some rare germline mutations cause familial tumors, often involving multiple tissues or organs. Tumors from somatic mosaicism during embryonic development are extremely rare. We describe here a pediatric patient who developed both an ovarian germ cell tumor and systemic mastocytosis. Targeted DNA next-generation sequencing analysis revealed similar genomic changes including the same KIT D816V mutation in both tissues, suggesting a common progenitor cancer cell. The KIT mutated cells are likely from early embryonic development during germ cell migration. A literature search found additional eight similar cases. These diseases are characterized by pediatric-onset, all-female, neoplastic proliferation in both gonad and bone marrow, and a common oncogenic cause, that is, KIT mutation, constituting a clinically and genetically homogenous disease entity. Importantly, the association of germ cell tumors with hematopoietic neoplasms suggests that the primordial germ cells are the primitive hematopoietic stem cells, a much-debated and unsettled question.
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Affiliation(s)
- Peifang Xiao
- Department of Hematology, Children's Hospital of Soochow University, Suzhou, China
| | - Ping Chen
- Suzhou Sano Precision Medicine Ltd, China
| | | | - Qi An
- Xuzhou Children's Hospital, Xuzhou Medical University, Xuzhou, China
| | | | - Si Chen
- Suzhou Sano Precision Medicine Ltd, China
| | - Kai Wang
- Suzhou Sano Precision Medicine Ltd, China
| | - Nan Chen
- Suzhou Sano Precision Medicine Ltd, China
| | - Yang Hao
- Suzhou Sano Precision Medicine Ltd, China
| | | | - Zhiheng Li
- Department of Hematology, Children's Hospital of Soochow University, Suzhou, China.,Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Shaoyan Hu
- Department of Hematology, Children's Hospital of Soochow University, Suzhou, China
| | - Sheng Xiao
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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19
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Chen Z, Arai E, Khan O, Zhang Z, Ngiow SF, He Y, Huang H, Manne S, Cao Z, Baxter AE, Cai Z, Freilich E, Ali MA, Giles JR, Wu JE, Greenplate AR, Hakeem MA, Chen Q, Kurachi M, Nzingha K, Ekshyyan V, Mathew D, Wen Z, Speck NA, Battle A, Berger SL, Wherry EJ, Shi J. In vivo CD8 + T cell CRISPR screening reveals control by Fli1 in infection and cancer. Cell 2021; 184:1262-1280.e22. [PMID: 33636129 PMCID: PMC8054351 DOI: 10.1016/j.cell.2021.02.019] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 10/26/2020] [Accepted: 02/05/2021] [Indexed: 12/21/2022]
Abstract
Improving effector activity of antigen-specific T cells is a major goal in cancer immunotherapy. Despite the identification of several effector T cell (TEFF)-driving transcription factors (TFs), the transcriptional coordination of TEFF biology remains poorly understood. We developed an in vivo T cell CRISPR screening platform and identified a key mechanism restraining TEFF biology through the ETS family TF, Fli1. Genetic deletion of Fli1 enhanced TEFF responses without compromising memory or exhaustion precursors. Fli1 restrained TEFF lineage differentiation by binding to cis-regulatory elements of effector-associated genes. Loss of Fli1 increased chromatin accessibility at ETS:RUNX motifs, allowing more efficient Runx3-driven TEFF biology. CD8+ T cells lacking Fli1 provided substantially better protection against multiple infections and tumors. These data indicate that Fli1 safeguards the developing CD8+ T cell transcriptional landscape from excessive ETS:RUNX-driven TEFF cell differentiation. Moreover, genetic deletion of Fli1 improves TEFF differentiation and protective immunity in infections and cancer.
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Affiliation(s)
- Zeyu Chen
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA, USA
| | - Eri Arai
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Omar Khan
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhen Zhang
- Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shin Foong Ngiow
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA, USA
| | - Yuan He
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Hua Huang
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sasikanth Manne
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhendong Cao
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amy E Baxter
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhangying Cai
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Freilich
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohammed A Ali
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Josephine R Giles
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer E Wu
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Allison R Greenplate
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohamed A Hakeem
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Qingzhou Chen
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Makoto Kurachi
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kito Nzingha
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Viktoriya Ekshyyan
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Divij Mathew
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhuoyu Wen
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nancy A Speck
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Shelley L Berger
- Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - E John Wherry
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA, USA.
| | - Junwei Shi
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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20
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Network mapping of primary CD34+ cells by Ampliseq based whole transcriptome targeted resequencing identifies unexplored differentiation regulatory relationships. PLoS One 2021; 16:e0246107. [PMID: 33544756 PMCID: PMC7864404 DOI: 10.1371/journal.pone.0246107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 01/13/2021] [Indexed: 12/04/2022] Open
Abstract
With the exception of a few master transcription factors, regulators of neutrophil maturation are poorly annotated in the intermediate phenotypes between the granulocyte-macrophage progenitor (GMP) and the mature neutrophil phenotype. Additional challenges in identifying gene expression regulators in differentiation pathways relate to challenges wherein starting cell populations are heterogeneous in lineage potential and development, are spread across various states of quiescence, as well as sample quality and input limitations. These factors contribute to data variability make it difficult to draw simple regulatory inferences. In response we have applied a multi-omics approach using primary blood progenitor cells primed for homogeneous proliferation and granulocyte differentiation states which combines whole transcriptome resequencing (Ampliseq RNA) supported by droplet digital PCR (ddPCR) validation and mass spectrometry-based proteomics in a hypothesis-generation study of neutrophil differentiation pathways. Primary CD34+ cells isolated from human cord blood were first precultured in non-lineage driving medium to achieve an active, proliferating phenotype from which a neutrophil primed progenitor was isolated and cultured in neutrophil lineage supportive medium. Samples were then taken at 24-hour intervals over 9 days and analysed by Ampliseq RNA and mass spectrometry. The Ampliseq dataset depth, breadth and quality allowed for several unexplored transcriptional regulators and ncRNAs to be identified using a combinatorial approach of hierarchical clustering, enriched transcription factor binding motifs, and network mapping. Network mapping in particular increased comprehension of neutrophil differentiation regulatory relationships by implicating ARNT, NHLH1, PLAG1, and 6 non-coding RNAs associated with PU.1 regulation as cell-engineering targets with the potential to increase total neutrophil culture output. Overall, this study develops and demonstrates an effective new hypothesis generation methodology for transcriptome profiling during differentiation, thereby enabling identification of novel gene targets for editing interventions.
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21
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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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22
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Rothenberg EV, Göttgens B. How haematopoiesis research became a fertile ground for regulatory network biology as pioneered by Eric Davidson. Curr Opin Hematol 2021; 28:1-10. [PMID: 33229891 PMCID: PMC7755131 DOI: 10.1097/moh.0000000000000628] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW This historical perspective reviews how work of Eric H. Davidson was a catalyst and exemplar for explaining haematopoietic cell fate determination through gene regulation. RECENT FINDINGS Researchers studying blood and immune cells pioneered many of the early mechanistic investigations of mammalian gene regulatory processes. These efforts included the characterization of complex gene regulatory sequences exemplified by the globin and T-cell/B-cell receptor gene loci, as well as the identification of many key regulatory transcription factors through the fine mapping of chromosome translocation breakpoints in leukaemia patients. As the repertoire of known regulators expanded, assembly into gene regulatory network models became increasingly important, not only to account for the truism that regulatory genes do not function in isolation but also to devise new ways of extracting biologically meaningful insights from even more complex information. Here we explore how Eric H. Davidson's pioneering studies of gene regulatory network control in nonvertebrate model organisms have had an important and lasting impact on research into blood and immune cell development. SUMMARY The intellectual framework developed by Davidson continues to contribute to haematopoietic research, and his insistence on demonstrating logic and causality still challenges the frontier of research today.
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Affiliation(s)
- Ellen V. Rothenberg
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Berthold Göttgens
- Wellcome and MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, Cambridge CB2 0AW, UK
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23
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Gao P, Chen C, Howell ED, Li Y, Tober J, Uzun Y, He B, Gao L, Zhu Q, Siekmann AF, Speck NA, Tan K. Transcriptional regulatory network controlling the ontogeny of hematopoietic stem cells. Genes Dev 2020; 34:950-964. [PMID: 32499402 PMCID: PMC7328518 DOI: 10.1101/gad.338202.120] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 04/28/2020] [Indexed: 12/27/2022]
Abstract
In this study from Gao et al., the authors performed RNA-seq and histone mark ChIP-seq to define the transcriptomes and epigenomes of cells representing key developmental stages of HSC ontogeny in mice. Using a novel computational algorithm, target inference via physical connection (TIPC), they constructed developmental stage-specific transcriptional regulatory networks by linking enhancers and predicted bound transcription factors to their target promoters, thus providing a useful resource for uncovering regulators of HSC formation. Hematopoietic stem cell (HSC) ontogeny is accompanied by dynamic changes in gene regulatory networks. We performed RNA-seq and histone mark ChIP-seq to define the transcriptomes and epigenomes of cells representing key developmental stages of HSC ontogeny in mice. The five populations analyzed were embryonic day 10.5 (E10.5) endothelium and hemogenic endothelium from the major arteries, an enriched population of prehematopoietic stem cells (pre-HSCs), fetal liver HSCs, and adult bone marrow HSCs. Using epigenetic signatures, we identified enhancers for each developmental stage. Only 12% of enhancers are primed, and 78% are active, suggesting the vast majority of enhancers are established de novo without prior priming in earlier stages. We constructed developmental stage-specific transcriptional regulatory networks by linking enhancers and predicted bound transcription factors to their target promoters using a novel computational algorithm, target inference via physical connection (TIPC). TIPC predicted known transcriptional regulators for the endothelial-to-hematopoietic transition, validating our overall approach, and identified putative novel transcription factors, including the broadly expressed transcription factors SP3 and MAZ. Finally, we validated a role for SP3 and MAZ in the formation of hemogenic endothelium. Our data and computational analyses provide a useful resource for uncovering regulators of HSC formation.
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Affiliation(s)
- Peng Gao
- Division of Oncology, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Changya Chen
- Division of Oncology, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Elizabeth D Howell
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Graduate Group in Cell and Molecular Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Yan Li
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Joanna Tober
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Yasin Uzun
- Division of Oncology, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Bing He
- Division of Oncology, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Long Gao
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Qin Zhu
- Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Arndt F Siekmann
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Nancy A Speck
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Kai Tan
- Division of Oncology, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.,Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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24
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Peter IS. The function of architecture and logic in developmental gene regulatory networks. Curr Top Dev Biol 2020; 139:267-295. [PMID: 32450963 DOI: 10.1016/bs.ctdb.2020.04.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
An important contribution of systems biology is the insight that biological systems depend on the function of molecular interactions and not just on individual molecules. System level mechanisms are particularly important in the development of animals and plants which depends not just on transcription factors and signaling molecules, but also on regulatory circuits and gene regulatory networks (GRNs). However, since GRNs consist of transcription factors, it can be challenging to assess the function of regulatory circuits independently of the function of regulatory factors. The comparison of different GRNs offers a way to do so and leads to several observations. First, similar regulatory circuits operate in various developmental contexts and in different species, and frequently, these circuits are associated with similar developmental functions. Second, given regulatory circuits are often used at particular positions within the GRN hierarchy. Third, in some GRNs, regulatory circuits are organized in a particular order in respect to each other. And fourth, the evolution of GRNs occurs not just by co-option of regulatory genes but also by rewiring of regulatory linkages between conserved regulatory genes, indicating that the organization of interactions is important. Thus, even though in most instances the function of regulatory circuits remains to be discovered, it becomes evident that the architecture and logic of GRNs are functionally important for the control of genome activity and for the specification of the body plan.
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Affiliation(s)
- Isabelle S Peter
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
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25
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Weinstein N, Mendoza L, Álvarez-Buylla ER. A Computational Model of the Endothelial to Mesenchymal Transition. Front Genet 2020; 11:40. [PMID: 32226439 PMCID: PMC7080988 DOI: 10.3389/fgene.2020.00040] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 01/14/2020] [Indexed: 12/13/2022] Open
Abstract
Endothelial cells (ECs) form the lining of lymph and blood vessels. Changes in tissue requirements or wounds may cause ECs to behave as tip or stalk cells. Alternatively, they may differentiate into mesenchymal cells (MCs). These processes are known as EC activation and endothelial-to-mesenchymal transition (EndMT), respectively. EndMT, Tip, and Stalk EC behaviors all require SNAI1, SNAI2, and Matrix metallopeptidase (MMP) function. However, only EndMT inhibits the expression of VE-cadherin, PECAM1, and VEGFR2, and also leads to EC detachment. Physiologically, EndMT is involved in heart valve development, while a defective EndMT regulation is involved in the physiopathology of cardiovascular malformations, congenital heart disease, systemic and organ fibrosis, pulmonary arterial hypertension, and atherosclerosis. Therefore, the control of EndMT has many promising potential applications in regenerative medicine. Despite the fact that many molecular components involved in EC activation and EndMT have been characterized, the system-level molecular mechanisms involved in this process have not been elucidated. Toward this end, hereby we present Boolean network model of the molecular involved in the regulation of EC activation and EndMT. The simulated dynamic behavior of our model reaches fixed and cyclic patterns of activation that correspond to the expected EC and MC cell types and behaviors, recovering most of the specific effects of simple gain and loss-of-function mutations as well as the conditions associated with the progression of several diseases. Therefore, our model constitutes a theoretical framework that can be used to generate hypotheses and guide experimental inquiry to comprehend the regulatory mechanisms behind EndMT. Our main findings include that both the extracellular microevironment and the pattern of molecular activity within the cell regulate EndMT. EndMT requires a lack of VEGFA and sufficient oxygen in the extracellular microenvironment as well as no FLI1 and GATA2 activity within the cell. Additionally Tip cells cannot undergo EndMT directly. Furthermore, the specific conditions that are sufficient to trigger EndMT depend on the specific pattern of molecular activation within the cell.
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Affiliation(s)
- Nathan Weinstein
- Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Luis Mendoza
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Elena R Álvarez-Buylla
- Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
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26
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Menegatti S, de Kruijf M, Garcia‐Alegria E, Lacaud G, Kouskoff V. Transcriptional control of blood cell emergence. FEBS Lett 2019; 593:3304-3315. [PMID: 31432499 PMCID: PMC6916194 DOI: 10.1002/1873-3468.13585] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 08/09/2019] [Accepted: 08/14/2019] [Indexed: 01/06/2023]
Abstract
The haematopoietic system is established during embryonic life through a series of developmental steps that culminates with the generation of haematopoietic stem cells. Characterisation of the transcriptional network that regulates blood cell emergence has led to the identification of transcription factors essential for this process. Among the many factors wired within this complex regulatory network, ETV2, SCL and RUNX1 are the central components. All three factors are absolutely required for blood cell generation, each one controlling a precise step of specification from the mesoderm germ layer to fully functional blood progenitors. Insight into the transcriptional control of blood cell emergence has been used for devising protocols to generate blood cells de novo, either through reprogramming of somatic cells or through forward programming of pluripotent stem cells. Interestingly, the physiological process of blood cell generation and its laboratory-engineered counterpart have very little in common.
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Affiliation(s)
- Sara Menegatti
- Developmental Haematopoiesis GroupFaculty of Biology, Medicine and Healththe University of ManchesterUK
| | - Marcel de Kruijf
- Developmental Haematopoiesis GroupFaculty of Biology, Medicine and Healththe University of ManchesterUK
| | - Eva Garcia‐Alegria
- Developmental Haematopoiesis GroupFaculty of Biology, Medicine and Healththe University of ManchesterUK
| | - Georges Lacaud
- Cancer Research UK Stem Cell Biology GroupCancer Research UK Manchester InstituteThe University of ManchesterMacclesfieldUK
| | - Valerie Kouskoff
- Developmental Haematopoiesis GroupFaculty of Biology, Medicine and Healththe University of ManchesterUK
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27
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Okawa S, Del Sol A. A general computational approach to predicting synergistic transcriptional cores that determine cell subpopulation identities. Nucleic Acids Res 2019; 47:3333-3343. [PMID: 30820550 PMCID: PMC6468312 DOI: 10.1093/nar/gkz147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 02/18/2019] [Accepted: 02/21/2019] [Indexed: 12/21/2022] Open
Abstract
Advances in single-cell RNA-sequencing techniques reveal the existence of distinct cell subpopulations. Identification of transcription factors (TFs) that define the identity of these subpopulations poses a challenge. Here, we postulate that identity depends on background subpopulations, and is determined by a synergistic core combination of TFs mainly uniquely expressed in each subpopulation, but also TFs more broadly expressed across background subpopulations. Building on this view, we develop a new computational method for determining such synergistic identity cores of subpopulations within a given cell population. Our method utilizes an information-theoretic measure for quantifying transcriptional synergy, and implements a novel algorithm for searching for optimal synergistic cores. It requires only single-cell RNA-seq data as input, and does not rely on any prior knowledge of candidate genes or gene regulatory networks. Hence, it can be directly applied to any cellular systems, including those containing novel subpopulations. The method is capable of recapitulating known experimentally validated identity TFs in eight published single-cell RNA-seq datasets. Furthermore, some of these identity TFs are known to trigger cell conversions between subpopulations. Thus, this methodology can help design strategies for cell conversion within a cell population, guiding experimentalists in the field of stem cell research and regenerative medicine.
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Affiliation(s)
- Satoshi Okawa
- Integrated BioBank of Luxembourg, Dudelange L-3555, Luxembourg.,Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, L-4367 Belvaux, Luxembourg
| | - Antonio Del Sol
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, L-4367 Belvaux, Luxembourg.,CIC bioGUNE, Bizkaia Technology Park, 801 building, Derio 48160, Spain.,IKERBASQUE, Basque Foundation for Science, Bilbao 48013, Spain.,Moscow Institute of Physics and Technology, Dolgoprudny 141701, Russia
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28
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Park SW, Do HJ, Choi W, Kim JH. Fli-1 promotes proliferation and upregulates NANOGP8 expression in T-lymphocyte leukemia cells. Biochimie 2019; 168:1-9. [PMID: 31626853 DOI: 10.1016/j.biochi.2019.10.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 10/10/2019] [Indexed: 11/27/2022]
Abstract
Friend leukemia integration 1 (Fli-1) is a member of the E26 transformation-specific (ETS) transcription factor family. Fli-1 regulates normal hematopoiesis and vasculogenesis, and its aberrant expression underlies virus-induced leukemias and various types of human cancers. NANOGP8, a retro-pseudogene of stem cell mediator NANOG, is expressed predominantly in cancer cells and plays a role in tumorigenesis. In this study, we demonstrate that Fli-1 expression enhances human acute T-cell leukemia Jurkat cell proliferation and that Fli-1 acts as a transcriptional activator of NANOGP8 expression in these cells. NANOGP8 and Fli-1 are highly expressed in Jurkat cells, whereas NANOG was undetectable at both the RNA and protein levels. Moreover, the expression of endogenous NANOGP8 was significantly influenced by gain of function and loss of function of Fli-1. Promoter-reporter assays showed that NANOGP8 transcription was significantly upregulated by dose-dependent Fli-1 overexpression. A series of deletion mutagenesis of NANOGP8 promoter sequence revealed that NANOGP8 promoter activity was tightly regulated and found the minimal promoter region sufficient to activate NANOGP8 transcription mediated by Fli-1. Moreover, site-directed mutagenesis of the putative binding site abolished both NANOGP8 full-length and minimal promoter activities. Binding assays revealed that Fli-1 directly interacts with the potent binding site in NANOG promoter region. Taken together, our data demonstrate that Fli-1 is a novel upstream transcriptional activator of NANOGP8 and provide the molecular details of Fli-1-mediated NANOGP8 gene expression. Ultimately, these findings may contribute to understanding the expanded regulatory mechanisms of oncogenic NANOGP8 and ETS family transcription factors in leukemogenesis.
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Affiliation(s)
- Sung-Won Park
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam-Si, Gyeonggi-Do, 13488, South Korea
| | - Hyun-Jin Do
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam-Si, Gyeonggi-Do, 13488, South Korea
| | - Wonbin Choi
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam-Si, Gyeonggi-Do, 13488, South Korea
| | - Jae-Hwan Kim
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam-Si, Gyeonggi-Do, 13488, South Korea.
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29
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Abstract
PURPOSE OF REVIEW Recent studies have established that haematopoietic stem cells (HSCs) remain quiescent in homeostatic conditions, and minimally contribute to haematopoietic homeostasis. However, they undergo extensive cell cycle and expansion upon bone marrow transplantation or haematopoietic injury to reestablish the haematopoietic system. Molecular basis for the HSC activation and expansion is not completely understood. Here, we review the recent study elucidating the role of the developmentally critical Ets transcription factor Etv2 in reestablishing haematopoietic system upon injury through promoting HSC regeneration. RECENT FINDINGS We recently demonstrated that the ETS transcription factor Etv2, a critical factor for haematopoietic and vascular development, is also required for haematopoietic regeneration. Etv2, which is silent in homeostatic HSCs, was transiently activated in regenerating HSPCs and was required for the HSC expansion and regeneration following bone marrow transplantation or haematopoietic injury. As such, while Etv2 is dispensable for maintaining HSCs in steady states, it is required for emergency haematopoiesis. SUMMARY Etv2 has been identified as a novel regulator of haematopoietic regeneration. Comprehensive understanding of the upstream regulators and downstream effectors of Etv2 in haematopoietic regeneration would be critical for fundamental understanding of haematopoietic stem cell biology, and the findings will be broadly applicable to clinical practice involving haematopoietic regenerative medicine; bone marrow transplantation, gene therapy and in-vitro HSC expansion.
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30
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Pawlak M, Kedzierska KZ, Migdal M, Karim AN, Ramilowski JA, Bugajski L, Hashimoto K, Marconi A, Piwocka K, Carninci P, Winata CL. Dynamics of cardiomyocyte transcriptome and chromatin landscape demarcates key events of heart development. Genome Res 2019; 29:506-519. [PMID: 30760547 PMCID: PMC6396412 DOI: 10.1101/gr.244491.118] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 01/09/2019] [Indexed: 12/19/2022]
Abstract
Organogenesis involves dynamic regulation of gene transcription and complex multipathway interactions. Despite our knowledge of key factors regulating various steps of heart morphogenesis, considerable challenges in understanding its mechanism still exist because little is known about their downstream targets and interactive regulatory network. To better understand transcriptional regulatory mechanism driving heart development and the consequences of its disruption in vivo, we performed time-series analyses of the transcriptome and genome-wide chromatin accessibility in isolated cardiomyocytes (CMs) from wild-type zebrafish embryos at developmental stages corresponding to heart tube morphogenesis, looping, and maturation. We identified genetic regulatory modules driving crucial events of heart development that contained key cardiac TFs and are associated with open chromatin regions enriched for DNA sequence motifs belonging to the family of the corresponding TFs. Loss of function of cardiac TFs Gata5, Tbx5a, and Hand2 affected the cardiac regulatory networks and caused global changes in chromatin accessibility profile, indicating their role in heart development. Among regions with differential chromatin accessibility in mutants were highly conserved noncoding elements that represent putative enhancers driving heart development. The most prominent gene expression changes, which correlated with chromatin accessibility modifications within their proximal promoter regions, occurred between heart tube morphogenesis and looping, and were associated with metabolic shift and hematopoietic/cardiac fate switch during CM maturation. Our results revealed the dynamic regulatory landscape throughout heart development and identified interactive molecular networks driving key events of heart morphogenesis.
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Affiliation(s)
- Michal Pawlak
- International Institute of Molecular and Cell Biology in Warsaw, Laboratory of Zebrafish Developmental Genomics, 02-109 Warsaw, Poland
| | - Katarzyna Z Kedzierska
- International Institute of Molecular and Cell Biology in Warsaw, Laboratory of Zebrafish Developmental Genomics, 02-109 Warsaw, Poland
| | - Maciej Migdal
- International Institute of Molecular and Cell Biology in Warsaw, Laboratory of Zebrafish Developmental Genomics, 02-109 Warsaw, Poland
| | - Abu Nahia Karim
- International Institute of Molecular and Cell Biology in Warsaw, Laboratory of Zebrafish Developmental Genomics, 02-109 Warsaw, Poland
| | | | - Lukasz Bugajski
- Nencki Institute of Experimental Biology, Laboratory of Cytometry, 02-093 Warsaw, Poland
| | - Kosuke Hashimoto
- RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045 Japan
| | - Aleksandra Marconi
- International Institute of Molecular and Cell Biology in Warsaw, Laboratory of Zebrafish Developmental Genomics, 02-109 Warsaw, Poland
| | - Katarzyna Piwocka
- Nencki Institute of Experimental Biology, Laboratory of Cytometry, 02-093 Warsaw, Poland
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045 Japan
| | - Cecilia L Winata
- International Institute of Molecular and Cell Biology in Warsaw, Laboratory of Zebrafish Developmental Genomics, 02-109 Warsaw, Poland
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
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31
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Ng FSL, Ruau D, Wernisch L, Göttgens B. A graphical model approach visualizes regulatory relationships between genome-wide transcription factor binding profiles. Brief Bioinform 2018; 19:162-173. [PMID: 27780826 PMCID: PMC5496675 DOI: 10.1093/bib/bbw102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Indexed: 11/16/2022] Open
Abstract
Integrated analysis of multiple genome-wide transcription factor (TF)-binding profiles will be vital to advance our understanding of the global impact of TF binding. However, existing methods for measuring similarity in large numbers of chromatin immunoprecipitation assays with sequencing (ChIP-seq), such as correlation, mutual information or enrichment analysis, are limited in their ability to display functionally relevant TF relationships. In this study, we propose the use of graphical models to determine conditional independence between TFs and showed that network visualization provides a promising alternative to distinguish ‘direct’ versus ‘indirect’ TF interactions. We applied four algorithms to measure ‘direct’ dependence to a compendium of 367 mouse haematopoietic TF ChIP-seq samples and obtained a consensus network known as a ‘TF association network’ where edges in the network corresponded to likely causal pairwise relationships between TFs. The ‘TF association network’ illustrates the role of TFs in developmental pathways, is reminiscent of combinatorial TF regulation, corresponds to known protein–protein interactions and indicates substantial TF-binding reorganization in leukemic cell types. With the rapid increase in TF ChIP-Seq data sets, the approach presented here will be a powerful tool to study transcriptional programmes across a wide range of biological systems.
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Affiliation(s)
- Felicia S L Ng
- Department of Haematology, Wellcome Trust and MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Hills Road, Cambridge, UK
| | - David Ruau
- Department of Haematology, Wellcome Trust and MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Hills Road, Cambridge, UK
| | - Lorenz Wernisch
- Department of Haematology, Wellcome Trust and MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Hills Road, Cambridge, UK
| | - Berthold Göttgens
- Department of Haematology, Wellcome Trust and MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Hills Road, Cambridge, UK
- Corresponding author: Berthold Gottgens, Department of Haematology, Wellcome Trust and MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Hills Road, Cambridge CB2 0XY, UK. Tel: 01223-336829; Fax: 01223-762670; E-mail:
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32
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Sabbagh MF, Heng JS, Luo C, Castanon RG, Nery JR, Rattner A, Goff LA, Ecker JR, Nathans J. Transcriptional and epigenomic landscapes of CNS and non-CNS vascular endothelial cells. eLife 2018; 7:36187. [PMID: 30188322 PMCID: PMC6126923 DOI: 10.7554/elife.36187] [Citation(s) in RCA: 152] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 08/21/2018] [Indexed: 02/06/2023] Open
Abstract
Vascular endothelial cell (EC) function depends on appropriate organ-specific molecular and cellular specializations. To explore genomic mechanisms that control this specialization, we have analyzed and compared the transcriptome, accessible chromatin, and DNA methylome landscapes from mouse brain, liver, lung, and kidney ECs. Analysis of transcription factor (TF) gene expression and TF motifs at candidate cis-regulatory elements reveals both shared and organ-specific EC regulatory networks. In the embryo, only those ECs that are adjacent to or within the central nervous system (CNS) exhibit canonical Wnt signaling, which correlates precisely with blood-brain barrier (BBB) differentiation and Zic3 expression. In the early postnatal brain, single-cell RNA-seq of purified ECs reveals (1) close relationships between veins and mitotic cells and between arteries and tip cells, (2) a division of capillary ECs into vein-like and artery-like classes, and (3) new endothelial subtype markers, including new validated tip cell markers.
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Affiliation(s)
- Mark F Sabbagh
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, United States.,Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Jacob S Heng
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, United States.,Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Chongyuan Luo
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, United States.,Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, United States
| | - Rosa G Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, United States
| | - Joseph R Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, United States
| | - Amir Rattner
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Loyal A Goff
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States.,Institute for Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, United States.,Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, United States
| | - Jeremy Nathans
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, United States.,Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States.,Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, United States.,Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, United States
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33
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Screening for genes that regulate the differentiation of human megakaryocytic lineage cells. Proc Natl Acad Sci U S A 2018; 115:E9308-E9316. [PMID: 30150396 DOI: 10.1073/pnas.1805434115] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Different combinations of transcription factors (TFs) function at each stage of hematopoiesis, leading to distinct expression patterns of lineage-specific genes. The identification of such regulators and their functions in hematopoiesis remain largely unresolved. In this study, we utilized screening approaches to study the transcriptional regulators of megakaryocyte progenitor (MkP) generation, a key step before platelet production. Promising candidate genes were generated from a microarray platform gene expression commons and individually manipulated in human hematopoietic stem and progenitor cells (HSPCs). Deletion of some of the candidate genes (the hit genes) by CRISPR/Cas9 led to decreased MkP generation during HSPC differentiation, while more MkPs were produced when some hit genes were overexpressed in HSPCs. We then demonstrated that overexpression of these genes can increase the frequency of mature megakaryocytic colonies by functional colony forming unit-megakaryocyte (CFU-Mk) assay and the release of platelets after in vitro maturation. Finally, we showed that the histone deacetylase inhibitors could also increase MkP differentiation, possibly by regulating some of the newly identified TFs. Therefore, identification of such regulators will advance the understanding of basic mechanisms of HSPC differentiation and conceivably enable the generation and maturation of megakaryocytes and platelets in vitro.
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34
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Baron CS, Kester L, Klaus A, Boisset JC, Thambyrajah R, Yvernogeau L, Kouskoff V, Lacaud G, van Oudenaarden A, Robin C. Single-cell transcriptomics reveal the dynamic of haematopoietic stem cell production in the aorta. Nat Commun 2018; 9:2517. [PMID: 29955049 PMCID: PMC6023921 DOI: 10.1038/s41467-018-04893-3] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 05/25/2018] [Indexed: 11/09/2022] Open
Abstract
Haematopoietic stem cells (HSCs) are generated from haemogenic endothelial (HE) cells via the formation of intra-aortic haematopoietic clusters (IAHCs) in vertebrate embryos. The molecular events controlling endothelial specification, endothelial-to-haematopoietic transition (EHT) and IAHC formation, as it occurs in vivo inside the aorta, are still poorly understood. To gain insight in these processes, we performed single-cell RNA-sequencing of non-HE cells, HE cells, cells undergoing EHT, IAHC cells, and whole IAHCs isolated from mouse embryo aortas. Our analysis identified the genes and transcription factor networks activated during the endothelial-to-haematopoietic switch and IAHC cell maturation toward an HSC fate. Our study provides an unprecedented complete resource to study in depth HSC generation in vivo. It will pave the way for improving HSC production in vitro to address the growing need for tailor-made HSCs to treat patients with blood-related disorders.
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Affiliation(s)
- Chloé S Baron
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands
| | - Lennart Kester
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands
| | - Anna Klaus
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands
| | - Jean-Charles Boisset
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands
| | - Roshana Thambyrajah
- CRUK Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Aderley Park, Aderley Edge, Macclesfield, SK10 4TG, UK
| | - Laurent Yvernogeau
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands
| | - Valérie Kouskoff
- Division of Developmental Biology and Medicine, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK
| | - Georges Lacaud
- CRUK Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Aderley Park, Aderley Edge, Macclesfield, SK10 4TG, UK
| | - Alexander van Oudenaarden
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands
| | - Catherine Robin
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands.
- Regenerative Medicine Center, University Medical Center Utrecht, 3584 EA, Utrecht, The Netherlands.
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35
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Jaleel A, Aneesh Kumar A, Ajith Kumar GS, Surendran A, Kartha CC. Label-free quantitative proteomics analysis reveals distinct molecular characteristics in endocardial endothelium. Mol Cell Biochem 2018; 451:1-10. [DOI: 10.1007/s11010-018-3387-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 06/16/2018] [Indexed: 11/25/2022]
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36
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Assessing regulatory information in developmental gene regulatory networks. Proc Natl Acad Sci U S A 2018; 114:5862-5869. [PMID: 28584110 DOI: 10.1073/pnas.1610616114] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Gene regulatory networks (GRNs) provide a transformation function between the static genomic sequence and the primary spatial specification processes operating development. The regulatory information encompassed in developmental GRNs thus goes far beyond the control of individual genes. We here address regulatory information at different levels of network organization, from single node to subcircuit to large-scale GRNs and discuss how regulatory design features such as network architecture, hierarchical organization, and cis-regulatory logic contribute to the developmental function of network circuits. Using specific subcircuits from the sea urchin endomesoderm GRN, for which both circuit design and biological function have been described, we evaluate by Boolean modeling and in silico perturbations the import of given circuit features on developmental function. The examples include subcircuits encoding positive feedback, mutual repression, and coherent feedforward, as well as signaling interaction circuitry. Within the hierarchy of the endomesoderm GRN, these subcircuits are organized in an intertwined and overlapping manner. Thus, we begin to see how regulatory information encoded at individual nodes is integrated at all levels of network organization to control developmental process.
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37
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Laurenti E, Göttgens B. From haematopoietic stem cells to complex differentiation landscapes. Nature 2018; 553:418-426. [PMID: 29364285 PMCID: PMC6555401 DOI: 10.1038/nature25022] [Citation(s) in RCA: 471] [Impact Index Per Article: 78.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2017] [Accepted: 11/08/2017] [Indexed: 12/18/2022]
Abstract
The development of mature blood cells from haematopoietic stem cells has long served as a model for stem-cell research, with the haematopoietic differentiation tree being widely used as a model for the maintenance of hierarchically organized tissues. Recent results and new technologies have challenged the demarcations between stem and progenitor cell populations, the timing of cell-fate choices and the contribution of stem and multipotent progenitor cells to the maintenance of steady-state blood production. These evolving views of haematopoiesis have broad implications for our understanding of the functions of adult stem cells, as well as the development of new therapies for malignant and non-malignant haematopoietic diseases.
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Affiliation(s)
- Elisa Laurenti
- Department of Haematology and Wellcome Trust and MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge UK
| | - Berthold Göttgens
- Department of Haematology and Wellcome Trust and MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge UK
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38
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Herkt SC, Kuvardina ON, Herglotz J, Schneider L, Meyer A, Pommerenke C, Salinas-Riester G, Seifried E, Bonig H, Lausen J. Protein arginine methyltransferase 6 controls erythroid gene expression and differentiation of human CD34 + progenitor cells. Haematologica 2017; 103:18-29. [PMID: 29025910 PMCID: PMC5777187 DOI: 10.3324/haematol.2017.174516] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 10/06/2017] [Indexed: 01/22/2023] Open
Abstract
Hematopoietic differentiation is driven by transcription factors, which orchestrate a finely tuned transcriptional network. At bipotential branching points lineage decisions are made, where key transcription factors initiate cell type-specific gene expression programs. These programs are stabilized by the epigenetic activity of recruited chromatin-modifying cofactors. An example is the association of the transcription factor RUNX1 with protein arginine methyltransferase 6 (PRMT6) at the megakaryocytic/erythroid bifurcation. However, little is known about the specific influence of PRMT6 on this important branching point. Here, we show that PRMT6 inhibits erythroid gene expression during megakaryopoiesis of primary human CD34+ progenitor cells. PRMT6 is recruited to erythroid genes, such as glycophorin A. Consequently, a repressive histone modification pattern with high H3R2me2a and low H3K4me3 is established. Importantly, inhibition of PRMT6 by shRNA or small molecule inhibitors leads to upregulation of erythroid genes and promotes erythropoiesis. Our data reveal that PRMT6 plays a role in the control of erythroid/megakaryocytic differentiation and open up the possibility that manipulation of PRMT6 activity could facilitate enhanced erythropoiesis for therapeutic use.
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Affiliation(s)
- Stefanie C Herkt
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
| | - Olga N Kuvardina
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
| | - Julia Herglotz
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
| | - Lucas Schneider
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
| | - Annekarin Meyer
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
| | | | | | - Erhard Seifried
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
| | - Halvard Bonig
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
| | - Jörn Lausen
- Institute for Transfusion Medicine and Immunohematology, Goethe-University and German Red Cross Blood Service, Frankfurt am Main
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39
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Learning causal networks with latent variables from multivariate information in genomic data. PLoS Comput Biol 2017; 13:e1005662. [PMID: 28968390 PMCID: PMC5685645 DOI: 10.1371/journal.pcbi.1005662] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 11/14/2017] [Accepted: 06/29/2017] [Indexed: 12/24/2022] Open
Abstract
Learning causal networks from large-scale genomic data remains challenging in absence of time series or controlled perturbation experiments. We report an information- theoretic method which learns a large class of causal or non-causal graphical models from purely observational data, while including the effects of unobserved latent variables, commonly found in many genomic datasets. Starting from a complete graph, the method iteratively removes dispensable edges, by uncovering significant information contributions from indirect paths, and assesses edge-specific confidences from randomization of available data. The remaining edges are then oriented based on the signature of causality in observational data. The approach and associated algorithm, miic, outperform earlier methods on a broad range of benchmark networks. Causal network reconstructions are presented at different biological size and time scales, from gene regulation in single cells to whole genome duplication in tumor development as well as long term evolution of vertebrates. Miic is publicly available at https://github.com/miicTeam/MIIC. The reconstruction of causal networks from genomic data is an important but challenging problem. Predicting key regulatory interactions or genomic alterations at the origin of human diseases can guide experimental investigation and ultimately inspire innovative therapy. However, causal relationships are difficult to establish without the possibility to directly perturb the organisms’ genome for ethical or practical reasons. Besides, unmeasured (latent) variables may be hidden in many genomic datasets and lead to spurious causal relationships between observed variables. We propose in this paper an efficient computational approach, miic, that overcomes these limitations and learns causal networks from non-perturbative (observational) data in the presence of latent variables. In addition, we assess the confidence of each predicted interaction and demonstrate the enhanced robustness and accuracy of miic compared to alternative existing methods. This approach can be applied on a wide range of datasets and provide new biological insights on regulatory networks from single cell expression data or genomic alterations during tumor development. Miic is implemented in an R package freely available to the scientific community under a General Public License.
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40
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Zhao H, Choi K. A CRISPR screen identifies genes controlling Etv2 threshold expression in murine hemangiogenic fate commitment. Nat Commun 2017; 8:541. [PMID: 28912455 PMCID: PMC5599515 DOI: 10.1038/s41467-017-00667-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 07/17/2017] [Indexed: 01/08/2023] Open
Abstract
The ETS transcription factor Etv2 is necessary and sufficient for the generation of hematopoietic and endothelial cells. However, upstream regulators of Etv2 in hemangiogenesis, generation of hematopoietic and endothelial cells, have not been clearly addressed. Here we track the developmental route of hemangiogenic progenitors from mouse embryonic stem cells, perform genome-wide CRISPR screening, and transcriptome analysis of en route cell populations by utilizing Brachyury, Etv2, or Scl reporter embryonic stem cell lines to further understand the mechanisms that control hemangiogenesis. We identify the forkhead transcription factor Foxh1, in part through Eomes, to be critical for the formation of FLK1+ mesoderm, from which the hemangiogenic fate is specified. Importantly, hemangiogenic fate is specified not simply by the onset of Etv2 expression, but by a threshold-dependent mechanism, in which VEGF-FLK1 signaling plays an instructive role by promoting Etv2 threshold expression. These studies reveal comprehensive cellular and molecular pathways governing the hemangiogenic cell lineage development. How haematopoietic and endothelial cell lineages are specified is unclear. Here, the authors identify the forkhead transcription factor Foxh1 as regulating FLK1+ mesoderm formation in mouse embryonic stem cells, which in turn specifies hemangiogenic fate via Etv2.
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Affiliation(s)
- Haiyong Zhao
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Kyunghee Choi
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, 63110, USA. .,Developmental, Regenerative, and Stem Cell Biology Program, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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41
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Hamey FK, Nestorowa S, Kinston SJ, Kent DG, Wilson NK, Göttgens B. Reconstructing blood stem cell regulatory network models from single-cell molecular profiles. Proc Natl Acad Sci U S A 2017; 114:5822-5829. [PMID: 28584094 PMCID: PMC5468644 DOI: 10.1073/pnas.1610609114] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Adult blood contains a mixture of mature cell types, each with specialized functions. Single hematopoietic stem cells (HSCs) have been functionally shown to generate all mature cell types for the lifetime of the organism. Differentiation of HSCs toward alternative lineages must be balanced at the population level by the fate decisions made by individual cells. Transcription factors play a key role in regulating these decisions and operate within organized regulatory programs that can be modeled as transcriptional regulatory networks. As dysregulation of single HSC fate decisions is linked to fatal malignancies such as leukemia, it is important to understand how these decisions are controlled on a cell-by-cell basis. Here we developed and applied a network inference method, exploiting the ability to infer dynamic information from single-cell snapshot expression data based on expression profiles of 48 genes in 2,167 blood stem and progenitor cells. This approach allowed us to infer transcriptional regulatory network models that recapitulated differentiation of HSCs into progenitor cell types, focusing on trajectories toward megakaryocyte-erythrocyte progenitors and lymphoid-primed multipotent progenitors. By comparing these two models, we identified and subsequently experimentally validated a difference in the regulation of nuclear factor, erythroid 2 (Nfe2) and core-binding factor, runt domain, alpha subunit 2, translocated to, 3 homolog (Cbfa2t3h) by the transcription factor Gata2. Our approach confirms known aspects of hematopoiesis, provides hypotheses about regulation of HSC differentiation, and is widely applicable to other hierarchical biological systems to uncover regulatory relationships.
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Affiliation(s)
- Fiona K Hamey
- Department of Haematology, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge Institute for Medical Research, Cambridge CB2 0XY, United Kingdom
| | - Sonia Nestorowa
- Department of Haematology, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge Institute for Medical Research, Cambridge CB2 0XY, United Kingdom
| | - Sarah J Kinston
- Department of Haematology, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge Institute for Medical Research, Cambridge CB2 0XY, United Kingdom
| | - David G Kent
- Department of Haematology, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge Institute for Medical Research, Cambridge CB2 0XY, United Kingdom
| | - Nicola K Wilson
- Department of Haematology, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge Institute for Medical Research, Cambridge CB2 0XY, United Kingdom
| | - Berthold Göttgens
- Department of Haematology, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge Institute for Medical Research, Cambridge CB2 0XY, United Kingdom
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42
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Chromatin dynamics during the differentiation of long-term hematopoietic stem cells to multipotent progenitors. Blood Adv 2017; 1:887-898. [PMID: 29296732 DOI: 10.1182/bloodadvances.2016003384] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Accepted: 05/01/2017] [Indexed: 12/31/2022] Open
Abstract
ATAC-seq provides genome-wide chromatin state in 3 cell types of hematopoietic stem/progenitor cells.Transcription factor cohorts are associated with dynamic changes of open chromatin during the differentiation of LT/ST-HSCs to MPPs.
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43
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SCL/TAL1: a multifaceted regulator from blood development to disease. Blood 2017; 129:2051-2060. [DOI: 10.1182/blood-2016-12-754051] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Accepted: 01/17/2017] [Indexed: 12/12/2022] Open
Abstract
Abstract
SCL/TAL1 (stem cell leukemia/T-cell acute lymphoblastic leukemia [T-ALL] 1) is an essential transcription factor in normal and malignant hematopoiesis. It is required for specification of the blood program during development, adult hematopoietic stem cell survival and quiescence, and terminal maturation of select blood lineages. Following ectopic expression, SCL contributes to oncogenesis in T-ALL. Remarkably, SCL’s activities are all mediated through nucleation of a core quaternary protein complex (SCL:E-protein:LMO1/2 [LIM domain only 1 or 2]:LDB1 [LIM domain-binding protein 1]) and dynamic recruitment of conserved combinatorial associations of additional regulators in a lineage- and stage-specific context. The finely tuned control of SCL’s regulatory functions (lineage priming, activation, and repression of gene expression programs) provides insight into fundamental developmental and transcriptional mechanisms, and highlights mechanistic parallels between normal and oncogenic processes. Importantly, recent discoveries are paving the way to the development of innovative therapeutic opportunities in SCL+ T-ALL.
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44
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Garcia-Alegria E, Menegatti S, Batta K, Cuvertino S, Florkowska M, Kouskoff V. Emerging concepts for the in vitro derivation of murine haematopoietic stem and progenitor cells. FEBS Lett 2016; 590:4116-4125. [PMID: 27404333 DOI: 10.1002/1873-3468.12300] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 07/04/2016] [Accepted: 07/09/2016] [Indexed: 02/11/2024]
Abstract
Well into the second decade of the 21st century, the field of regenerative medicine is bursting with hopes and promises to heal young and old. The bespoken generation of cells is thought to offer unprecedented cures for a vast range of diseases. Haematological disorders have already benefited tremendously from stem cell therapy in the form of bone marrow transplantation. However, lack of compatible donors often means that patients remain on transplantation waiting lists for too long. The in vitro derivation of haematopoietic stem cells offers the possibility to generate tailor-made cells for the treatment of these patients. Promising approaches to generate in vitro-derived blood progenitors include the directed differentiation of pluripotent stem cells and the reprogramming of somatic cells.
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Affiliation(s)
- Eva Garcia-Alegria
- Cancer Research UK Stem Cell Haematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, UK
| | - Sara Menegatti
- Cancer Research UK Stem Cell Haematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, UK
| | - Kiran Batta
- Cancer Research UK Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, UK
| | - Sara Cuvertino
- Cancer Research UK Stem Cell Haematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, UK
| | - Magdalena Florkowska
- Cancer Research UK Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, UK
| | - Valerie Kouskoff
- Cancer Research UK Stem Cell Haematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, UK
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45
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Ch Ho E, Buckley KM, Schrankel CS, Schuh NW, Hibino T, Solek CM, Bae K, Wang G, Rast JP. Perturbation of gut bacteria induces a coordinated cellular immune response in the purple sea urchin larva. Immunol Cell Biol 2016; 94:861-874. [PMID: 27192936 PMCID: PMC5073156 DOI: 10.1038/icb.2016.51] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 05/12/2016] [Accepted: 05/12/2016] [Indexed: 02/07/2023]
Abstract
The purple sea urchin (Strongylocentrotus purpuratus) genome sequence contains a complex repertoire of genes encoding innate immune recognition proteins and homologs of important vertebrate immune regulatory factors. To characterize how this immune system is deployed within an experimentally tractable, intact animal, we investigate the immune capability of the larval stage. Sea urchin embryos and larvae are morphologically simple and transparent, providing an organism-wide model to view immune response at cellular resolution. Here we present evidence for immune function in five mesenchymal cell types based on morphology, behavior and gene expression. Two cell types are phagocytic; the others interact at sites of microbial detection or injury. We characterize immune-associated gene markers for three cell types, including a perforin-like molecule, a scavenger receptor, a complement-like thioester-containing protein and the echinoderm-specific immune response factor 185/333. We elicit larval immune responses by (1) bacterial injection into the blastocoel and (2) seawater exposure to the marine bacterium Vibrio diazotrophicus to perturb immune state in the gut. Exposure at the epithelium induces a strong response in which pigment cells (one type of immune cell) migrate from the ectoderm to interact with the gut epithelium. Bacteria that accumulate in the gut later invade the blastocoel, where they are cleared by phagocytic and granular immune cells. The complexity of this coordinated, dynamic inflammatory program within the simple larval morphology provides a system in which to characterize processes that direct both aspects of the echinoderm-specific immune response as well as those that are shared with other deuterostomes, including vertebrates.
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Affiliation(s)
- Eric Ch Ho
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Katherine M Buckley
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Catherine S Schrankel
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Nicholas W Schuh
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Taku Hibino
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Cynthia M Solek
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Koeun Bae
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Guizhi Wang
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Jonathan P Rast
- Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
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46
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Kauts ML, Vink CS, Dzierzak E. Hematopoietic (stem) cell development - how divergent are the roads taken? FEBS Lett 2016; 590:3975-3986. [PMID: 27543859 PMCID: PMC5125883 DOI: 10.1002/1873-3468.12372] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 08/11/2016] [Accepted: 08/15/2016] [Indexed: 12/29/2022]
Abstract
The development of the hematopoietic system during early embryonic stages occurs in spatially and temporally distinct waves. Hematopoietic stem cells (HSC), the most potent and self‐renewing cells of this system, are produced in the final ‘definitive’ wave of hematopoietic cell generation. In contrast to HSCs in the adult, which differentiate via intermediate progenitor populations to produce functional blood cells, the generation of hematopoietic cells in the embryo prior to HSC generation occurs in the early waves by producing blood cells without intermediate progenitors (such as the ‘primitive’ hematopoietic cells). The lineage relationship between the early hematopoietic cells and the cells giving rise to HSCs, the genetic networks controlling their emergence, and the precise temporal determination of HSC fate remain topics of intense research and debate. This Review article discusses the current knowledge on the step‐wise embryonic establishment of the adult hematopoietic system, examines the roles of pivotal intrinsic regulators in this process, and raises questions concerning the temporal onset of HSC fate determination.
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Affiliation(s)
- Mari-Liis Kauts
- Centre for Inflammation Research, Queens Medical Research Institute, University of Edinburgh, UK.,Department of Cell Biology, Erasmus MC Stem Cell Institute, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Chris S Vink
- Centre for Inflammation Research, Queens Medical Research Institute, University of Edinburgh, UK.,Department of Cell Biology, Erasmus MC Stem Cell Institute, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Elaine Dzierzak
- Centre for Inflammation Research, Queens Medical Research Institute, University of Edinburgh, UK.,Department of Cell Biology, Erasmus MC Stem Cell Institute, Erasmus Medical Center, Rotterdam, The Netherlands
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47
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Yordanov B, Dunn SJ, Kugler H, Smith A, Martello G, Emmott S. A Method to Identify and Analyze Biological Programs through Automated Reasoning. NPJ Syst Biol Appl 2016; 2. [PMID: 27668090 PMCID: PMC5034891 DOI: 10.1038/npjsba.2016.10] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Predictive biology is elusive because rigorous, data-constrained, mechanistic models of complex biological systems are difficult to derive and validate. Current approaches tend to construct and examine static interaction network models, which are descriptively rich, but often lack explanatory and predictive power, or dynamic models that can be simulated to reproduce known behavior. However, in such approaches implicit assumptions are introduced as typically only one mechanism is considered, and exhaustively investigating all scenarios is impractical using simulation. To address these limitations, we present a methodology based on automated formal reasoning, which permits the synthesis and analysis of the complete set of logical models consistent with experimental observations. We test hypotheses against all candidate models, and remove the need for simulation by characterizing and simultaneously analyzing all mechanistic explanations of observed behavior. Our methodology transforms knowledge of complex biological processes from sets of possible interactions and experimental observations to precise, predictive biological programs governing cell function.
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Affiliation(s)
- Boyan Yordanov
- Microsoft Research, 21 Station Road, Cambridge, CB1 2FB, UK
| | - Sara-Jane Dunn
- Microsoft Research, 21 Station Road, Cambridge, CB1 2FB, UK
| | - Hillel Kugler
- Microsoft Research, 21 Station Road, Cambridge, CB1 2FB, UK.,Faculty of Engineering, Bar-Ilan University, Ramat Gan, 5290002, Israel
| | - Austin Smith
- Wellcome Trust Medical Research Council Cambridge Stem Cell Institute, University of Cambridge CB2 1QR, UK.,Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Graziano Martello
- Dept. of Molecular Medicine, Complesso Vallisneri - 3 Piano Nord, University of Padua, Viale G. Colombo 3, 35131 Padua, Italy
| | - Stephen Emmott
- Microsoft Research, 21 Station Road, Cambridge, CB1 2FB, UK.,Faculty of Engineering Science, University College London, Torrington Place, London WC1E 7JE, UK
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48
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Eliades A, Wareing S, Marinopoulou E, Fadlullah MZH, Patel R, Grabarek JB, Plusa B, Lacaud G, Kouskoff V. The Hemogenic Competence of Endothelial Progenitors Is Restricted by Runx1 Silencing during Embryonic Development. Cell Rep 2016; 15:2185-2199. [PMID: 27239041 PMCID: PMC4906370 DOI: 10.1016/j.celrep.2016.05.001] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Revised: 03/24/2016] [Accepted: 04/27/2016] [Indexed: 01/08/2023] Open
Abstract
It is now well-established that hematopoietic stem cells (HSCs) and progenitor cells originate from a specialized subset of endothelium, termed hemogenic endothelium (HE), via an endothelial-to-hematopoietic transition. However, the molecular mechanisms determining which endothelial progenitors possess this hemogenic potential are currently unknown. Here, we investigated the changes in hemogenic potential in endothelial progenitors at the early stages of embryonic development. Using an ETV2::GFP reporter mouse to isolate emerging endothelial progenitors, we observed a dramatic decrease in hemogenic potential between embryonic day (E)7.5 and E8.5. At the molecular level, Runx1 is expressed at much lower levels in E8.5 intra-embryonic progenitors, while Bmi1 expression is increased. Remarkably, the ectopic expression of Runx1 in these progenitors fully restores their hemogenic potential, as does the suppression of BMI1 function. Altogether, our data demonstrate that hemogenic competency in recently specified endothelial progenitors is restrained through the active silencing of Runx1 expression.
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Affiliation(s)
- Alexia Eliades
- Cancer Research UK Stem Cell Hematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
| | - Sarah Wareing
- Cancer Research UK Stem Cell Hematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
| | - Elli Marinopoulou
- Cancer Research UK Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
| | - Muhammad Z H Fadlullah
- Cancer Research UK Stem Cell Hematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
| | - Rahima Patel
- Cancer Research UK Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
| | - Joanna B Grabarek
- Faculty of Life Sciences, The University of Manchester, Manchester M13 9PT, UK
| | - Berenika Plusa
- Faculty of Life Sciences, The University of Manchester, Manchester M13 9PT, UK
| | - Georges Lacaud
- Cancer Research UK Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK.
| | - Valerie Kouskoff
- Cancer Research UK Stem Cell Hematopoiesis Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK.
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49
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Lelieveld SH, Schütte J, Dijkstra MJJ, Bawono P, Kinston SJ, Göttgens B, Heringa J, Bonzanni N. ConBind: motif-aware cross-species alignment for the identification of functional transcription factor binding sites. Nucleic Acids Res 2016; 44:e72. [PMID: 26721389 PMCID: PMC4856970 DOI: 10.1093/nar/gkv1518] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Revised: 12/15/2015] [Accepted: 12/16/2015] [Indexed: 12/23/2022] Open
Abstract
Eukaryotic gene expression is regulated by transcription factors (TFs) binding to promoter as well as distal enhancers. TFs recognize short, but specific binding sites (TFBSs) that are located within the promoter and enhancer regions. Functionally relevant TFBSs are often highly conserved during evolution leaving a strong phylogenetic signal. While multiple sequence alignment (MSA) is a potent tool to detect the phylogenetic signal, the current MSA implementations are optimized to align the maximum number of identical nucleotides. This approach might result in the omission of conserved motifs that contain interchangeable nucleotides such as the ETS motif (IUPAC code: GGAW). Here, we introduce ConBind, a novel method to enhance alignment of short motifs, even if their mutual sequence similarity is only partial. ConBind improves the identification of conserved TFBSs by improving the alignment accuracy of TFBS families within orthologous DNA sequences. Functional validation of the Gfi1b + 13 enhancer reveals that ConBind identifies additional functionally important ETS binding sites that were missed by all other tested alignment tools. In addition to the analysis of known regulatory regions, our web tool is useful for the analysis of TFBSs on so far unknown DNA regions identified through ChIP-sequencing.
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Affiliation(s)
- Stefan H Lelieveld
- Centre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands
| | - Judith Schütte
- Department of Haematology, Wellcome Trust-MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Cambridge University, Cambridge CB2 0XY, UK Klinik für Hämatologie, Universitätsklinik Essen 45147, Germany
| | - Maurits J J Dijkstra
- Centre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Punto Bawono
- Centre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Sarah J Kinston
- Department of Haematology, Wellcome Trust-MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Cambridge University, Cambridge CB2 0XY, UK
| | - Berthold Göttgens
- Department of Haematology, Wellcome Trust-MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Cambridge University, Cambridge CB2 0XY, UK
| | - Jaap Heringa
- Centre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Nicola Bonzanni
- Centre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands Computational Cancer Biology Group, Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam 1066 CX, The Netherlands ENPICOM, Eindhoven 5632 CW, The Netherlands
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50
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Moreau T, Evans AL, Vasquez L, Tijssen MR, Yan Y, Trotter MW, Howard D, Colzani M, Arumugam M, Wu WH, Dalby A, Lampela R, Bouet G, Hobbs CM, Pask DC, Payne H, Ponomaryov T, Brill A, Soranzo N, Ouwehand WH, Pedersen RA, Ghevaert C. Large-scale production of megakaryocytes from human pluripotent stem cells by chemically defined forward programming. Nat Commun 2016; 7:11208. [PMID: 27052461 PMCID: PMC4829662 DOI: 10.1038/ncomms11208] [Citation(s) in RCA: 180] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 03/02/2016] [Indexed: 02/02/2023] Open
Abstract
The production of megakaryocytes (MKs)--the precursors of blood platelets--from human pluripotent stem cells (hPSCs) offers exciting clinical opportunities for transfusion medicine. Here we describe an original approach for the large-scale generation of MKs in chemically defined conditions using a forward programming strategy relying on the concurrent exogenous expression of three transcription factors: GATA1, FLI1 and TAL1. The forward programmed MKs proliferate and differentiate in culture for several months with MK purity over 90% reaching up to 2 × 10(5) mature MKs per input hPSC. Functional platelets are generated throughout the culture allowing the prospective collection of several transfusion units from as few as 1 million starting hPSCs. The high cell purity and yield achieved by MK forward programming, combined with efficient cryopreservation and good manufacturing practice (GMP)-compatible culture, make this approach eminently suitable to both in vitro production of platelets for transfusion and basic research in MK and platelet biology.
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Affiliation(s)
- Thomas Moreau
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,The Anne McLaren Laboratory, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute and Department of Surgery, University of Cambridge, West Forvie Site, Robinson Way, Cambridge CB2 0SZ, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Amanda L. Evans
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Louella Vasquez
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1RQ, UK
| | - Marloes R. Tijssen
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK
| | - Ying Yan
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1RQ, UK
| | - Matthew W. Trotter
- The Anne McLaren Laboratory, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute and Department of Surgery, University of Cambridge, West Forvie Site, Robinson Way, Cambridge CB2 0SZ, UK
| | - Daniel Howard
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Maria Colzani
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Meera Arumugam
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Wing Han Wu
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Amanda Dalby
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Riina Lampela
- Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Guenaelle Bouet
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Catherine M. Hobbs
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Dean C. Pask
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Holly Payne
- Institute of Cardiovascular Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Tatyana Ponomaryov
- Institute of Cardiovascular Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Alexander Brill
- Institute of Cardiovascular Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Nicole Soranzo
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1RQ, UK
| | - Willem H. Ouwehand
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK
| | - Roger A. Pedersen
- The Anne McLaren Laboratory, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute and Department of Surgery, University of Cambridge, West Forvie Site, Robinson Way, Cambridge CB2 0SZ, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK,
| | - Cedric Ghevaert
- Department of Haematology, University of Cambridge and NHS Blood and Transplant, Long Road, Cambridge CB2 0PT, UK,Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Tennis Court Road, Cambridge CB2 1QR, UK,
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