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Zeng X, Shi C, Han Y, Hu K, Li X, Wei C, Ding L, Cui J, Huang S, Xu Y, Zhang M, Shan W, Luo Q, Yu J, Zheng Z, Li X, Qian P, Huang H. A metabolic atlas of blood cells in young and aged mice identifies uridine as a metabolite to rejuvenate aged hematopoietic stem cells. NATURE AGING 2024:10.1038/s43587-024-00669-1. [PMID: 39020094 DOI: 10.1038/s43587-024-00669-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/19/2024] [Indexed: 07/19/2024]
Abstract
Aging of hematopoietic stem cells (HSCs) is accompanied by impaired self-renewal ability, myeloid skewing, immunodeficiencies and increased susceptibility to malignancies. Although previous studies highlighted the pivotal roles of individual metabolites in hematopoiesis, comprehensive and high-resolution metabolomic profiles of different hematopoietic cells across ages are still lacking. In this study, we created a metabolome atlas of different blood cells across ages in mice. We reveal here that purine, pyrimidine and retinol metabolism are enriched in young hematopoietic stem and progenitor cells (HSPCs), whereas glutamate and sphingolipid metabolism are concentrated in aged HSPCs. Through metabolic screening, we identified uridine as a potential regulator to rejuvenate aged HSPCs. Mechanistically, uridine treatment upregulates the FoxO signaling pathway and enhances self-renewal while suppressing inflammation in aged HSCs. Finally, we constructed an open-source platform for public easy access and metabolomic analysis in blood cells. Collectively, we provide a resource for metabolic studies in hematopoiesis that can contribute to future anti-aging metabolite screening.
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Affiliation(s)
- Xiangjun Zeng
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Ce Shi
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Yingli Han
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Kejia Hu
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Xiaoqing Li
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Cong Wei
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Lijuan Ding
- Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jiazhen Cui
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Simao Huang
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Yulin Xu
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Meng Zhang
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Wei Shan
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Qian Luo
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Jian Yu
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | | | - Xia Li
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
- Institute of Hematology, Zhejiang University, Hangzhou, China.
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China.
| | - Pengxu Qian
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
- Institute of Hematology, Zhejiang University, Hangzhou, China.
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China.
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - He Huang
- Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
- Institute of Hematology, Zhejiang University, Hangzhou, China.
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China.
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2
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Teschendorff AE. Computational single-cell methods for predicting cancer risk. Biochem Soc Trans 2024; 52:1503-1514. [PMID: 38856037 DOI: 10.1042/bst20231488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 05/22/2024] [Accepted: 05/24/2024] [Indexed: 06/11/2024]
Abstract
Despite recent biotechnological breakthroughs, cancer risk prediction remains a formidable computational and experimental challenge. Addressing it is critical in order to improve prevention, early detection and survival rates. Here, I briefly summarize some key emerging theoretical and computational challenges as well as recent computational advances that promise to help realize the goals of cancer-risk prediction. The focus is on computational strategies based on single-cell data, in particular on bottom-up network modeling approaches that aim to estimate cancer stemness and dedifferentiation at single-cell resolution from a systems-biological perspective. I will describe two promising methods, a tissue and cell-lineage independent one based on the concept of diffusion network entropy, and a tissue and cell-lineage specific one that uses transcription factor regulons. Application of these tools to single-cell and single-nucleus RNA-seq data from stages prior to invasive cancer reveal that they can successfully delineate the heterogeneous inter-cellular cancer-risk landscape, identifying those cells that are more likely to turn cancerous. Bottom-up systems biological modeling of single-cell omic data is a novel computational analysis paradigm that promises to facilitate the development of preventive, early detection and cancer-risk prediction strategies.
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Affiliation(s)
- Andrew E Teschendorff
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
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Lynch CA, Acosta SA, Anderson DM, Rogers GE, Wilson-Rawls J, Rawls A. The Transcription Factor Mohawk Facilitates Skeletal Muscle Repair via Modulation of the Inflammatory Environment. Int J Mol Sci 2024; 25:5019. [PMID: 38732238 PMCID: PMC11084535 DOI: 10.3390/ijms25095019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 05/02/2024] [Accepted: 05/02/2024] [Indexed: 05/13/2024] Open
Abstract
Efficient repair of skeletal muscle relies upon the precise coordination of cells between the satellite cell niche and innate immune cells that are recruited to the site of injury. The expression of pro-inflammatory cytokines and chemokines such as TNFα, IFNγ, CXCL1, and CCL2, by muscle and tissue resident immune cells recruits neutrophils and M1 macrophages to the injury and activates satellite cells. These signal cascades lead to highly integrated temporal and spatial control of muscle repair. Despite the therapeutic potential of these factors for improving tissue regeneration after traumatic and chronic injuries, their transcriptional regulation is not well understood. The transcription factor Mohawk (Mkx) functions as a repressor of myogenic differentiation and regulates fiber type specification. Embryonically, Mkx is expressed in all progenitor cells of the musculoskeletal system and is expressed in human and mouse myeloid lineage cells. An analysis of mice deficient for Mkx revealed a delay in postnatal muscle repair characterized by impaired clearance of necrotic fibers and smaller newly regenerated fibers. Further, there was a delay in the expression of inflammatory signals such as Ccl2, Ifnγ, and Tgfß. This was coupled with impaired recruitment of pro-inflammatory macrophages to the site of muscle damage. These studies demonstrate that Mkx plays a critical role in adult skeletal muscle repair that is mediated through the initial activation of the inflammatory response.
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Affiliation(s)
- Cherie Alissa Lynch
- School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA; (C.A.L.); (S.A.A.); (D.M.A.); (G.E.R.); (J.W.-R.)
- Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ 85287, USA
| | - Sofia A. Acosta
- School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA; (C.A.L.); (S.A.A.); (D.M.A.); (G.E.R.); (J.W.-R.)
- Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ 85287, USA
| | - Douglas M. Anderson
- School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA; (C.A.L.); (S.A.A.); (D.M.A.); (G.E.R.); (J.W.-R.)
- Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ 85287, USA
| | - Gavin E. Rogers
- School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA; (C.A.L.); (S.A.A.); (D.M.A.); (G.E.R.); (J.W.-R.)
- Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ 85287, USA
| | - Jeanne Wilson-Rawls
- School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA; (C.A.L.); (S.A.A.); (D.M.A.); (G.E.R.); (J.W.-R.)
| | - Alan Rawls
- School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA; (C.A.L.); (S.A.A.); (D.M.A.); (G.E.R.); (J.W.-R.)
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4
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Bonora M, Morganti C, van Gastel N, Ito K, Calura E, Zanolla I, Ferroni L, Zhang Y, Jung Y, Sales G, Martini P, Nakamura T, Lasorsa FM, Finkel T, Lin CP, Zavan B, Pinton P, Georgakoudi I, Romualdi C, Scadden DT, Ito K. A mitochondrial NADPH-cholesterol axis regulates extracellular vesicle biogenesis to support hematopoietic stem cell fate. Cell Stem Cell 2024; 31:359-377.e10. [PMID: 38458178 PMCID: PMC10957094 DOI: 10.1016/j.stem.2024.02.004] [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: 01/28/2023] [Revised: 11/16/2023] [Accepted: 02/08/2024] [Indexed: 03/10/2024]
Abstract
Mitochondrial fatty acid oxidation (FAO) is essential for hematopoietic stem cell (HSC) self-renewal; however, the mechanism by which mitochondrial metabolism controls HSC fate remains unknown. Here, we show that within the hematopoietic lineage, HSCs have the largest mitochondrial NADPH pools, which are required for proper HSC cell fate and homeostasis. Bioinformatic analysis of the HSC transcriptome, biochemical assays, and genetic inactivation of FAO all indicate that FAO-generated NADPH fuels cholesterol synthesis in HSCs. Interference with FAO disturbs the segregation of mitochondrial NADPH toward corresponding daughter cells upon single HSC division. Importantly, we have found that the FAO-NADPH-cholesterol axis drives extracellular vesicle (EV) biogenesis and release in HSCs, while inhibition of EV signaling impairs HSC self-renewal. These data reveal the existence of a mitochondrial NADPH-cholesterol axis for EV biogenesis that is required for hematopoietic homeostasis and highlight the non-stochastic nature of HSC fate determination.
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Affiliation(s)
- Massimo Bonora
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Departments of Oncology and Medicine, Albert Einstein College of Medicine-Montefiore Health System, Bronx, NY 10461, USA
| | - Claudia Morganti
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Departments of Oncology and Medicine, Albert Einstein College of Medicine-Montefiore Health System, Bronx, NY 10461, USA
| | - Nick van Gastel
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA; Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA; de Duve Institute, UCLouvain, 1200 Brussels, Belgium
| | - Kyoko Ito
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Departments of Oncology and Medicine, Albert Einstein College of Medicine-Montefiore Health System, Bronx, NY 10461, USA
| | - Enrica Calura
- Department of Biology, University of Padova, 35121 Padua, Italy
| | - Ilaria Zanolla
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Letizia Ferroni
- Maria Cecilia Hospital, GVM Care & Research, Cotignola, 48033 Ravenna, Italy
| | - Yang Zhang
- Department of Biomedical Engineering, Tufts University, 4 Colby St, Medford, MA 02155, USA
| | - Yookyung Jung
- Department of Biomedical Engineering, Tufts University, 4 Colby St, Medford, MA 02155, USA; Department of Pathology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Gabriele Sales
- Department of Biology, University of Padova, 35121 Padua, Italy
| | - Paolo Martini
- Department of Molecular and Translational Medicine, University of Brescia, 25121 Brescia, Italy
| | - Takahisa Nakamura
- Divisions of Endocrinology and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA; Department of Metabolic Bioregulation, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Francesco Massimo Lasorsa
- Department of Biosciences Biotechnologies and Environment University of Bari and Institute of Biomembranes Bioenergetics and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, 70125 Bari, Italy
| | - Toren Finkel
- Aging Institute and Department of Medicine, University of Pittsburgh School of Medicine/University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Charles P Lin
- Center for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Barbara Zavan
- Maria Cecilia Hospital, GVM Care & Research, Cotignola, 48033 Ravenna, Italy; Laboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, 44121 Ferrara, Italy; Translational Medicine Department, University of Ferrara, 44121 Ferrara, Italy
| | - Paolo Pinton
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; Maria Cecilia Hospital, GVM Care & Research, Cotignola, 48033 Ravenna, Italy; Laboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, 44121 Ferrara, Italy
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 4 Colby St, Medford, MA 02155, USA
| | - Chiara Romualdi
- Department of Biology, University of Padova, 35121 Padua, Italy
| | - David T Scadden
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA; Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Keisuke Ito
- Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Departments of Oncology and Medicine, Albert Einstein College of Medicine-Montefiore Health System, Bronx, NY 10461, USA; Montefiore Einstein Comprehensive Cancer Center and Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
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5
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Li Y, Abel HJ, Cai M, LaValle TA, Yin T, Helton NM, Smith AM, Miller CA, Ley TJ. Rapid and accurate remethylation of DNA in Dnmt3a-deficient hematopoietic cells with restoration of DNMT3A activity. SCIENCE ADVANCES 2024; 10:eadk8598. [PMID: 38295174 PMCID: PMC10830114 DOI: 10.1126/sciadv.adk8598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 12/26/2023] [Indexed: 02/02/2024]
Abstract
Here, we characterize the DNA methylation phenotypes of bone marrow cells from mice with hematopoietic deficiency of Dnmt3a or Dnmt3b (or both enzymes) or expressing the dominant-negative Dnmt3aR878H mutation [R882H in humans; the most common DNMT3A mutation found in acute myeloid leukemia (AML)]. Using these cells as substrates, we defined DNA remethylation after overexpressing wild-type (WT) DNMT3A1, DNMT3B1, DNMT3B3 (an inactive splice isoform of DNMT3B), or DNMT3L (a catalytically inactive "chaperone" for DNMT3A and DNMT3B in early embryogenesis). Overexpression of DNMT3A for 2 weeks reverses the hypomethylation phenotype of Dnmt3a-deficient cells or cells expressing the R878H mutation. Overexpression of DNMT3L (which is minimally expressed in AML cells) also corrects the hypomethylation phenotype of Dnmt3aR878H/+ marrow, probably by augmenting the activity of WT DNMT3A encoded by the residual WT allele. DNMT3L reactivation may represent a previously unidentified approach for restoring DNMT3A activity in hematopoietic cells with reduced DNMT3A function.
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Affiliation(s)
- Yang Li
- Section of Stem Cell Biology, Division of Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Haley J. Abel
- Section of Stem Cell Biology, Division of Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Michelle Cai
- Section of Stem Cell Biology, Division of Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | | | - Tiankai Yin
- Section of Stem Cell Biology, Division of Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Nichole M. Helton
- Section of Stem Cell Biology, Division of Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
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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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Hackert NS, Radtke FA, Exner T, Lorenz HM, Müller-Tidow C, Nigrovic PA, Wabnitz G, Grieshaber-Bouyer R. Human and mouse neutrophils share core transcriptional programs in both homeostatic and inflamed contexts. Nat Commun 2023; 14:8133. [PMID: 38065997 PMCID: PMC10709367 DOI: 10.1038/s41467-023-43573-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 11/14/2023] [Indexed: 12/18/2023] Open
Abstract
Neutrophils are frequently studied in mouse models, but the extent to which findings translate to humans remains poorly defined. In an integrative analysis of 11 mouse and 13 human datasets, we find a strong correlation of neutrophil gene expression across species. In inflammation, neutrophils display substantial transcriptional diversity but share a core inflammation program. This program includes genes encoding IL-1 family members, CD14, IL-4R, CD69, and PD-L1. Chromatin accessibility of core inflammation genes increases in blood compared to bone marrow and further in tissue. Transcription factor enrichment analysis implicates members of the NF-κB family and AP-1 complex as important drivers, and HoxB8 neutrophils with JunB knockout show a reduced expression of core inflammation genes in resting and activated cells. In independent single-cell validation data, neutrophil activation by type I or type II interferon, G-CSF, and E. coli leads to upregulation in core inflammation genes. In COVID-19 patients, higher expression of core inflammation genes in neutrophils is associated with more severe disease. In vitro treatment with GM-CSF, LPS, and type II interferon induces surface protein upregulation of core inflammation members. Together, we demonstrate transcriptional conservation in neutrophils in homeostasis and identify a core inflammation program shared across heterogeneous inflammatory conditions.
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Affiliation(s)
- Nicolaj S Hackert
- Division of Rheumatology, Department of Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Institute for Immunology, Heidelberg University Hospital, Heidelberg, Germany
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Felix A Radtke
- Division of Rheumatology, Department of Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Institute for Immunology, Heidelberg University Hospital, Heidelberg, Germany
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Tarik Exner
- Division of Rheumatology, Department of Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Institute for Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Hanns-Martin Lorenz
- Division of Rheumatology, Department of Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Carsten Müller-Tidow
- Department of Medicine V, Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany
- Molecular Medicine Partnership Unit, European Molecular Biology Laboratory (EMBL), University of Heidelberg, Heidelberg, Germany
| | - Peter A Nigrovic
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Guido Wabnitz
- Institute for Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Ricardo Grieshaber-Bouyer
- Division of Rheumatology, Department of Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
- Institute for Immunology, Heidelberg University Hospital, Heidelberg, Germany.
- Molecular Medicine Partnership Unit, European Molecular Biology Laboratory (EMBL), University of Heidelberg, Heidelberg, Germany.
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
- Department of Internal Medicine 3 - Rheumatology and Immunology, Friedrich Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
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Cao H, Naik SH, Amann-Zalcenstein D, Hickey P, Salim A, Cao B, Nilsson SK, Keightley MC, Lieschke GJ. Late fetal hematopoietic failure results from ZBTB11 deficiency despite abundant HSC specification. Blood Adv 2023; 7:6506-6519. [PMID: 37567157 PMCID: PMC10632610 DOI: 10.1182/bloodadvances.2022009580] [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: 12/19/2022] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 08/13/2023] Open
Abstract
Hematopoiesis produces diverse blood cell lineages to meet the basal needs and sudden demands of injury or infection. A rapid response to such challenges requires the expansion of specific lineages and a prompt return to balanced steady-state levels, necessitating tightly coordinated regulation. Previously we identified a requirement for the zinc finger and broad complex, tramtrak, bric-a-brac domain-containing 11 (ZBTB11) transcription factor in definitive hematopoiesis using a forward genetic screen for zebrafish myeloid mutants. To understand its relevance to mammalian systems, we extended these studies to mice. When Zbtb11 was deleted in the hematopoietic compartment, embryos died at embryonic day (E) 18.5 with hematopoietic failure. Zbtb11 hematopoietic knockout (Zbtb11hKO) hematopoietic stem cells (HSCs) were overabundantly specified from E14.5 to E17.5 compared with those in controls. Overspecification was accompanied by loss of stemness, inability to differentiate into committed progenitors and mature lineages in the fetal liver, failure to seed fetal bone marrow, and total hematopoietic failure. The Zbtb11hKO HSCs did not proliferate in vitro and were constrained in cell cycle progression, demonstrating the cell-intrinsic role of Zbtb11 in proliferation and cell cycle regulation in mammalian HSCs. Single-cell RNA sequencing analysis identified that Zbtb11-deficient HSCs were underrepresented in an erythroid-primed subpopulation and showed downregulation of oxidative phosphorylation pathways and dysregulation of genes associated with the hematopoietic niche. We identified a cell-intrinsic requirement for Zbtb11-mediated gene regulatory networks in sustaining a pool of maturation-capable HSCs and progenitor cells.
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Affiliation(s)
- Huimin Cao
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia
- Biomedical Manufacturing, Commonwealth Scientific and Industrial Research Organisation, Clayton, VIC, Australia
| | - Shalin H. Naik
- Department of Immunology, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Single Cell Open Research Endeavour, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Daniela Amann-Zalcenstein
- Single Cell Open Research Endeavour, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
- Advanced Genomics Facility, Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Peter Hickey
- Single Cell Open Research Endeavour, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
- Advanced Genomics Facility, Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Agus Salim
- Mathematics and Statistics, La Trobe University, Bundoora, VIC, Australia
- Melbourne School of Population and Global Health, School of Mathematics and Statistics, University of Melbourne, Parkville, VIC, Australia
| | - Benjamin Cao
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia
- Biomedical Manufacturing, Commonwealth Scientific and Industrial Research Organisation, Clayton, VIC, Australia
| | - Susan K. Nilsson
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia
- Biomedical Manufacturing, Commonwealth Scientific and Industrial Research Organisation, Clayton, VIC, Australia
| | - M. Cristina Keightley
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia
- La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, Australia
- Rural Clinical Sciences, La Trobe Rural Health School, Bendigo, VIC, Australia
| | - Graham J. Lieschke
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia
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9
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Ni D, Tan J, Robert R, Taitz J, Ge A, Potier-Villette C, Reyes JGA, Spiteri A, Wishart C, Mackay C, Piccio L, King NJC, Macia L. GPR109A expressed on medullary thymic epithelial cells affects thymic Treg development. Eur J Immunol 2023; 53:e2350521. [PMID: 37595951 DOI: 10.1002/eji.202350521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 07/31/2023] [Accepted: 08/17/2023] [Indexed: 08/20/2023]
Abstract
Regulatory T cells (Treg) maintain immune homeostasis due to their anti-inflammatory functions. They can be generated either centrally in the thymus or in peripheral organs. Metabolites such as short-chain fatty acids produced by intestinal microbiota can induce peripheral Treg differentiation, by activating G-protein-coupled-receptors like GPR109A. In this study, we identified a novel role for GPR109A in thymic Treg development. We found that Gpr109a-/- mice had increased Treg under basal conditions in multiple organs compared with WT mice. GPR109A was not expressed on T cells but on medullary thymic epithelial cells (mTECs), as revealed by single-cell RNA sequencing in both mice and humans and confirmed by flow cytometry in mice. mTECs isolated from Gpr109a-/- mice had higher expression of autoimmune regulator (AIRE), the key regulator of Treg development, while the subset of mTECs that did not express Gpr109a in the WT displayed increased Aire expression and also enhanced signaling related to mTEC functionality. Increased thymic Treg in Gpr109a-/- mice was associated with protection from experimental autoimmune encephalomyelitis, with ameliorated clinical signs and reduced inflammation. This work identifies a novel role for GPR109A and possibly the gut microbiota, on thymic Treg development via its regulation of mTECs.
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Affiliation(s)
- Duan Ni
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jian Tan
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Remy Robert
- Department of Physiology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jemma Taitz
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Anjie Ge
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Camille Potier-Villette
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Julen Gabirel Araneta Reyes
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Alanna Spiteri
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Viral Immunopathology Laboratory, Infection, Immunity and Inflammation Research Theme, The School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Claire Wishart
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Viral Immunopathology Laboratory, Infection, Immunity and Inflammation Research Theme, The School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Charles Mackay
- Department of Physiology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Laura Piccio
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Nicholas Jonathan Cole King
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Viral Immunopathology Laboratory, Infection, Immunity and Inflammation Research Theme, The School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Laurence Macia
- Charles Perkins Centre, The University of Sydney, The University of Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Sydney Cytometry, The University of Sydney and Centenary Institute, Sydney, New South Wales, Australia
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10
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Chalise JP, Ehsani A, Lemecha M, Hung YW, Zhang G, Larson GP, Itakura K. ARID5B regulates fatty acid metabolism and proliferation at the Pre-B cell stage during B cell development. Front Immunol 2023; 14:1170475. [PMID: 37483604 PMCID: PMC10360657 DOI: 10.3389/fimmu.2023.1170475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/15/2023] [Indexed: 07/25/2023] Open
Abstract
During B cell development in bone marrow, large precursor B cells (large Pre-B cells) proliferate rapidly, exit the cell cycle, and differentiate into non-proliferative (quiescent) small Pre-B cells. Dysregulation of this process may result in the failure to produce functional B cells and pose a risk of leukemic transformation. Here, we report that AT rich interacting domain 5B (ARID5B), a B cell acute lymphoblastic leukemia (B-ALL) risk gene, regulates B cell development at the Pre-B stage. In both mice and humans, we observed a significant upregulation of ARID5B expression that initiates at the Pre-B stage and is maintained throughout later stages of B cell development. In mice, deletion of Arid5b in vivo and ex vivo exhibited a significant reduction in the proportion of immature B cells but an increase in large and small Pre-B cells. Arid5b inhibition ex vivo also led to an increase in proliferation of both Pre-B cell populations. Metabolic studies in mouse and human bone marrow revealed that fatty acid uptake peaked in proliferative B cells then decreased during non-proliferative stages. We showed that Arid5b ablation enhanced fatty acid uptake and oxidation in Pre-B cells. Furthermore, decreased ARID5B expression was observed in tumor cells from B-ALL patients when compared to B cells from non-leukemic individuals. In B-ALL patients, ARID5B expression below the median was associated with decreased survival particularly in subtypes originating from Pre-B cells. Collectively, our data indicated that Arid5b regulates fatty acid metabolism and proliferation of Pre-B cells in mice, and reduced expression of ARID5B in humans is a risk factor for B cell leukemia.
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Affiliation(s)
- Jaya Prakash Chalise
- Center for RNA Biology and Therapeutics, Beckman Research Institute, City of Hope, Duarte, CA, United States
| | - Ali Ehsani
- Center for RNA Biology and Therapeutics, Beckman Research Institute, City of Hope, Duarte, CA, United States
| | - Mengistu Lemecha
- Center for RNA Biology and Therapeutics, Beckman Research Institute, City of Hope, Duarte, CA, United States
| | - Yu-Wen Hung
- Immunology and Theranostics, Beckman Research Institute, City of Hope, Duarte, CA, United States
| | - Guoxiang Zhang
- Center for RNA Biology and Therapeutics, Beckman Research Institute, City of Hope, Duarte, CA, United States
| | - Garrett P. Larson
- Center for RNA Biology and Therapeutics, Beckman Research Institute, City of Hope, Duarte, CA, United States
| | - Keiichi Itakura
- Center for RNA Biology and Therapeutics, Beckman Research Institute, City of Hope, Duarte, CA, United States
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11
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Zeng X, Li X, Li X, Wei C, Shi C, Hu K, Kong D, Luo Q, Xu Y, Shan W, Zhang M, Shi J, Feng J, Han Y, Huang H, Qian P. Fecal microbiota transplantation from young mice rejuvenates aged hematopoietic stem cells by suppressing inflammation. Blood 2023; 141:1691-1707. [PMID: 36638348 PMCID: PMC10646769 DOI: 10.1182/blood.2022017514] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/05/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023] Open
Abstract
Hematopoietic stem cell (HSC) aging is accompanied by hematopoietic reconstitution dysfunction, including loss of regenerative and engraftment ability, myeloid differentiation bias, and elevated risks of hematopoietic malignancies. Gut microbiota, a key regulator of host health and immunity, has recently been reported to affect hematopoiesis. However, there is currently limited empirical evidence explaining the direct impact of gut microbiome on aging hematopoiesis. In this study, we performed fecal microbiota transplantation (FMT) from young mice to aged mice and observed a significant increment in lymphoid differentiation and decrease in myeloid differentiation in aged recipient mice. Furthermore, FMT from young mice rejuvenated aged HSCs with enhanced short-term and long-term hematopoietic repopulation capacity. Mechanistically, single-cell RNA sequencing deciphered that FMT from young mice mitigated inflammatory signals, upregulated the FoxO signaling pathway, and promoted lymphoid differentiation of HSCs during aging. Finally, integrated microbiome and metabolome analyses uncovered that FMT reshaped gut microbiota composition and metabolite landscape, and Lachnospiraceae and tryptophan-associated metabolites promoted the recovery of hematopoiesis and rejuvenated aged HSCs. Together, our study highlights the paramount importance of the gut microbiota in HSC aging and provides insights into therapeutic strategies for aging-related hematologic disorders.
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Affiliation(s)
- Xiangjun Zeng
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Xiaoqing Li
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Xia Li
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Cong Wei
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Ce Shi
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Kejia Hu
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Delin Kong
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Qian Luo
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Yulin Xu
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Wei Shan
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Meng Zhang
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Jimin Shi
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Jingjing Feng
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Yingli Han
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - He Huang
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Pengxu Qian
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
- Center of Stem Cell and Regenerative Medicine, School of Medicine, Zhejiang University, Hangzhou, China
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12
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The BAFF-APRIL System in Cancer. Cancers (Basel) 2023; 15:cancers15061791. [PMID: 36980677 PMCID: PMC10046288 DOI: 10.3390/cancers15061791] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/13/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
B cell-activating factor (BAFF; also known as CD257, TNFSF13B, BLyS) and a proliferation-inducing ligand (APRIL; also known as CD256, TNFSF13) belong to the tumor necrosis factor (TNF) family. BAFF was initially discovered as a B-cell survival factor, whereas APRIL was first identified as a protein highly expressed in various cancers. These discoveries were followed by over two decades of extensive research effort, which identified overlapping signaling cascades between BAFF and APRIL, controlling immune homeostasis in health and driving pathogenesis in autoimmunity and cancer, the latter being the focus of this review. High levels of BAFF, APRIL, and their receptors have been detected in different cancers and found to be associated with disease severity and treatment response. Here, we have summarized the role of the BAFF-APRIL system in immune cell differentiation and immune tolerance and detailed its pathogenic functions in hematological and solid cancers. We also highlight the emerging therapeutics targeting the BAFF-APRIL system in different cancer types.
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13
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Haase C, Gustafsson K, Mei S, Yeh SC, Richter D, Milosevic J, Turcotte R, Kharchenko PV, Sykes DB, Scadden DT, Lin CP. Image-seq: spatially resolved single-cell sequencing guided by in situ and in vivo imaging. Nat Methods 2022; 19:1622-1633. [PMID: 36424441 PMCID: PMC9718684 DOI: 10.1038/s41592-022-01673-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 10/03/2022] [Indexed: 11/26/2022]
Abstract
Tissue function depends on cellular organization. While the properties of individual cells are increasingly being deciphered using powerful single-cell sequencing technologies, understanding their spatial organization and temporal evolution remains a major challenge. Here, we present Image-seq, a technology that provides single-cell transcriptional data on cells that are isolated from specific spatial locations under image guidance, thus preserving the spatial information of the target cells. It is compatible with in situ and in vivo imaging and can document the temporal and dynamic history of the cells being analyzed. Cell samples are isolated from intact tissue and processed with state-of-the-art library preparation protocols. The technique therefore combines spatial information with highly sensitive RNA sequencing readouts from individual, intact cells. We have used both high-throughput, droplet-based sequencing as well as SMARTseq-v4 library preparation to demonstrate its application to bone marrow and leukemia biology. We discovered that DPP4 is a highly upregulated gene during early progression of acute myeloid leukemia and that it marks a more proliferative subpopulation that is confined to specific bone marrow microenvironments. Furthermore, the ability of Image-seq to isolate viable, intact cells should make it compatible with a range of downstream single-cell analysis tools including multi-omics protocols.
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Affiliation(s)
- Christa Haase
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA.
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
| | - Karin Gustafsson
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Shenglin Mei
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Shu-Chi Yeh
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Orthopaedics, Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA
| | - Dmitry Richter
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Jelena Milosevic
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Raphaël Turcotte
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Peter V Kharchenko
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Altos Labs, San Diego, CA, USA
| | - David B Sykes
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
| | - David T Scadden
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Charles P Lin
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA.
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
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14
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Roy IM, Anu P, Zaunz S, Reddi S, Giri AM, Sankar RS, Schouteden S, Huelsken J, Verfaillie CM, Khurana S. Inhibition of SRC-mediated integrin signaling in bone marrow niche enhances hematopoietic stem cell function. iScience 2022; 25:105171. [PMID: 36204266 PMCID: PMC9530850 DOI: 10.1016/j.isci.2022.105171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 07/13/2022] [Accepted: 09/16/2022] [Indexed: 11/20/2022] Open
Abstract
Interaction with microenvironmental factors is crucial for the regulation of hematopoietic stem cell (HSC) function. Stroma derived factor (SDF)-1α supports HSCs in the quiescent state and is central to the homing of transplanted HSCs. Here, we show that integrin signaling regulates Sdf-1α expression transcriptionally. Systemic deletion of Periostin, an Integrin-αv ligand, showed increased expression of Sdf-1α in bone marrow (BM) niche. Pharmacological inhibition or CRISPR-Cas9-mediated deletion of SRC, resulted in a similar increase in the chemokine expression in vitro. Importantly, systemic SRC-inhibition led to increase in SDF-1α levels in BM plasma. This resulted in a robust increase (14.05 ± 1.22% to 29.11 ± 0.69%) in the homing efficiency of transplanted HSCs. In addition, we observed enhancement in the recovery of blood cell counts following radiation injury, indicating an enhanced hematopoietic function. These results establish a role of SRC-mediated integrin signaling in the transcriptional regulation of Sdf-1α. This mechanism could be harnessed further to improve the hematopoietic function.
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Affiliation(s)
- Irene Mariam Roy
- School of Biology, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, Kerala 695551, India
| | - P.V. Anu
- School of Biology, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, Kerala 695551, India
| | | | - Srinu Reddi
- School of Biology, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, Kerala 695551, India
| | - Aravind M. Giri
- School of Biology, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, Kerala 695551, India
| | - Rithika Saroj Sankar
- School of Biology, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, Kerala 695551, India
| | | | - Joerg Huelsken
- École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | | | - Satish Khurana
- School of Biology, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, Kerala 695551, India
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15
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Gao S, Chen Y, Wu Z, Kajigaya S, Wang X, Young NS. Time-Varying Gene Expression Network Analysis Reveals Conserved Transition States in Hematopoietic Differentiation between Human and Mouse. Genes (Basel) 2022; 13:genes13101890. [PMID: 36292775 PMCID: PMC9601530 DOI: 10.3390/genes13101890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 10/10/2022] [Accepted: 10/14/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: analyses of gene networks can elucidate hematopoietic differentiation from single-cell gene expression data, but most algorithms generate only a single, static network. Because gene interactions change over time, it is biologically meaningful to examine time-varying structures and to capture dynamic, even transient states, and cell-cell relationships. (2) Methods: a transcriptomic atlas of hematopoietic stem and progenitor cells was used for network analysis. After pseudo-time ordering with Monocle 2, LOGGLE was used to infer time-varying networks and to explore changes of differentiation gene networks over time. A range of network analysis tools were used to examine properties and genes in the inferred networks. (3) Results: shared characteristics of attributes during the evolution of differentiation gene networks showed a “U” shape of network density over time for all three branches for human and mouse. Differentiation appeared as a continuous process, originating from stem cells, through a brief transition state marked by fewer gene interactions, before stabilizing in a progenitor state. Human and mouse shared hub genes in evolutionary networks. (4) Conclusions: the conservation of network dynamics in the hematopoietic systems of mouse and human was reflected by shared hub genes and network topological changes during differentiation.
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Affiliation(s)
- Shouguo Gao
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Correspondence:
| | - Ye Chen
- Department of Mathematics and Statistics, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Zhijie Wu
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sachiko Kajigaya
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Xujing Wang
- Division of Diabetes, Endocrinology, and Metabolic Diseases (DEM), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20817, USA
| | - Neal S. Young
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
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16
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Murine fetal bone marrow does not support functional hematopoietic stem and progenitor cells until birth. Nat Commun 2022; 13:5403. [PMID: 36109585 PMCID: PMC9477881 DOI: 10.1038/s41467-022-33092-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/01/2022] [Indexed: 12/02/2022] Open
Abstract
While adult bone marrow (BM) hematopoietic stem and progenitor cells (HSPCs) and their extrinsic regulation is well studied, little is known about the composition, function, and extrinsic regulation of the first HSPCs to enter the BM during development. Here, we functionally interrogate murine BM HSPCs from E15.5 through P0. Our work reveals that fetal BM HSPCs are present by E15.5, but distinct from the HSPC pool seen in fetal liver, both phenotypically and functionally, until near birth. We also generate a transcriptional atlas of perinatal BM HSPCs and the BM niche in mice across ontogeny, revealing that fetal BM lacks HSPCs with robust intrinsic stem cell programs, as well as niche cells supportive of HSPCs. In contrast, stem cell programs are preserved in neonatal BM HSPCs, which reside in a niche expressing HSC supportive factors distinct from those seen in adults. Collectively, our results provide important insights into the factors shaping hematopoiesis during this understudied window of hematopoietic development. Relatively little is known about the first hematopoietic stem and progenitor cells to arrive in the fetal bone marrow. Here they characterize the frequency, function, and molecular identity of fetal BM HSPCs and their bone marrow niche, and show that most BM HSPCs have little hematopoietic function until birth.
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17
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Wang L, Noyer L, Wang YH, Tao AY, Li W, Zhu J, Saavedra P, Hoda ST, Yang J, Feske S. ORAI3 is dispensable for store-operated Ca2+ entry and immune responses by lymphocytes and macrophages. J Gen Physiol 2022; 154:213360. [PMID: 35861698 PMCID: PMC9532584 DOI: 10.1085/jgp.202213104] [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: 02/03/2022] [Accepted: 06/24/2022] [Indexed: 01/23/2023] Open
Abstract
Ca2+ signals regulate the function of many immune cells and promote immune responses to infection, cancer, and autoantigens. Ca2+ influx in immune cells is mediated by store-operated Ca2+ entry (SOCE) that results from the opening of Ca2+ release-activated Ca2+ (CRAC) channels. The CRAC channel is formed by three plasma membrane proteins, ORAI1, ORAI2, and ORAI3. Of these, ORAI1 is the best studied and plays important roles in immune function. By contrast, the physiological role of ORAI3 in immune cells remains elusive. We show here that ORAI3 is expressed in many immune cells including macrophages, B cells, and T cells. To investigate ORAI3 function in immune cells, we generated Orai3-/- mice. The development of lymphoid and myeloid cells in the thymus and bone marrow was normal in Orai3-/- mice, as was the composition of immune cells in secondary lymphoid organs. Deletion of Orai3 did not affect SOCE in B cells and T cells but moderately enhanced SOCE in macrophages. Orai3-deficient macrophages, B cells, and T cells had normal effector functions in vitro. Immune responses in vivo, including humoral immunity (T cell dependent or independent) and antitumor immunity, were normal in Orai3-/- mice. Moreover, Orai3-/- mice showed no differences in susceptibility to septic shock, experimental autoimmune encephalomyelitis, or collagen-induced arthritis. We conclude that despite its expression in myeloid and lymphoid cells, ORAI3 appears to be dispensable or redundant for physiological and pathological immune responses mediated by these cells.
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Affiliation(s)
- Liwei Wang
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Lucile Noyer
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Yin-Hu Wang
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Anthony Y. Tao
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Wenyi Li
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Jingjie Zhu
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Pedro Saavedra
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Syed T. Hoda
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Jun Yang
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
| | - Stefan Feske
- Department of Pathology, New York University Grossman School of Medicine, New York, NY,Correspondence to Stefan Feske:
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18
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Maity AK, Hu X, Zhu T, Teschendorff AE. Inference of age-associated transcription factor regulatory activity changes in single cells. NATURE AGING 2022; 2:548-561. [PMID: 37118452 DOI: 10.1038/s43587-022-00233-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 05/03/2022] [Indexed: 04/30/2023]
Abstract
Transcription factors (TFs) control cell identity and function. How their activity is altered during healthy aging is critical for an improved understanding of aging and disease risk, yet relatively little is known about such changes at cell-type resolution. Here we present and validate a TF activity estimation method for single cells from the hematopoietic system that is based on TF regulons, and apply it to a mouse single-cell RNA-sequencing atlas, to infer age-associated differentiation activity changes in the immune cells of different organs. This revealed an age-associated signature of macrophage dedifferentiation, which is shared across tissue types, and aggravated in tumor-associated macrophages. By extending the analysis to all major cell types, we reveal cell-type and tissue-type-independent age-associated alterations to regulatory factors controlling antigen processing, inflammation, collagen processing and circadian rhythm, that are implicated in age-related diseases. Finally, our study highlights the limitations of using TF expression to infer age-associated changes, underscoring the need to use regulatory activity inference methods.
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Affiliation(s)
- Alok K Maity
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xue Hu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Tianyu Zhu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Andrew E Teschendorff
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
- UCL Cancer Institute, Paul O'Gorman Building, University College London, London, UK.
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19
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What can we learn from mice lacking pro-survival BCL-2 proteins to advance BH3 mimetic drugs for cancer therapy? Cell Death Differ 2022; 29:1079-1093. [PMID: 35388168 DOI: 10.1038/s41418-022-00987-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 03/04/2022] [Accepted: 03/15/2022] [Indexed: 12/21/2022] Open
Abstract
In many human cancers the control of apoptosis is dysregulated, for instance as a result of the overexpression of pro-survival BCL-2 proteins. This promotes tumorigenesis by protecting nascent neoplastic cells from stress and renders malignant cells resistant to anti-cancer agents. Therefore, several BH3 mimetic drugs targeting distinct pro-survival proteins have been developed. The BCL-2 inhibitor Venetoclax/ABT-199, has been approved for treatment of certain blood cancers and tens of thousands of patients have already been treated effectively with this drug. To advance the clinical development of MCL-1 and BCL-XL inhibitors, a more detailed understanding of their distinct and overlapping roles in the survival of malignant as well as non-transformed cells in healthy tissues is required. Here, we discuss similarities and differences in pro-survival BCL-2 protein structure, subcellular localisation and binding affinities to the pro-apoptotic BCL-2 family members. We summarise the findings from gene-targeting studies in mice to discuss the specific roles of distinct pro-survival BCL-2 family members during embryogenesis and the survival of non-transformed cells in healthy tissues in adults. Finally, we elaborate how these findings align with or differ from the observations from the clinical development and use of BH3 mimetic drugs targeting different pro-survival BCL-2 proteins.
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20
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Lagger C, de Magalhães JP. Single-cell gene regulation across aging tissues. NATURE AGING 2022; 2:468-470. [PMID: 37118455 DOI: 10.1038/s43587-022-00238-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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21
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Mysore V, Tahir S, Furuhashi K, Arora J, Rosetti F, Cullere X, Yazbeck P, Sekulic M, Lemieux ME, Raychaudhuri S, Horwitz BH, Mayadas TN. Monocytes transition to macrophages within the inflamed vasculature via monocyte CCR2 and endothelial TNFR2. J Exp Med 2022; 219:213122. [PMID: 35404389 PMCID: PMC9006314 DOI: 10.1084/jem.20210562] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 11/16/2021] [Accepted: 03/03/2022] [Indexed: 12/13/2022] Open
Abstract
Monocytes undergo phenotypic and functional changes in response to inflammatory cues, but the molecular signals that drive different monocyte states remain largely undefined. We show that monocytes acquire macrophage markers upon glomerulonephritis and may be derived from CCR2+CX3CR1+ double-positive monocytes, which are preferentially recruited, dwell within glomerular capillaries, and acquire proinflammatory characteristics in the nephritic kidney. Mechanistically, the transition to immature macrophages begins within the vasculature and relies on CCR2 in circulating cells and TNFR2 in parenchymal cells, findings that are recapitulated in vitro with monocytes cocultured with TNF-TNFR2–activated endothelial cells generating CCR2 ligands. Single-cell RNA sequencing of cocultures defines a CCR2-dependent monocyte differentiation path associated with the acquisition of immune effector functions and generation of CCR2 ligands. Immature macrophages are detected in the urine of lupus nephritis patients, and their frequency correlates with clinical disease. In conclusion, CCR2-dependent functional specialization of monocytes into macrophages begins within the TNF-TNFR2–activated vasculature and may establish a CCR2-based autocrine, feed-forward loop that amplifies renal inflammation.
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Affiliation(s)
- Vijayashree Mysore
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Suhail Tahir
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Kazuhiro Furuhashi
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Jatin Arora
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Division of Rheumatology, Immunology, and Allergy, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Florencia Rosetti
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Xavier Cullere
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Pascal Yazbeck
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Miroslav Sekulic
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY
| | | | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Division of Rheumatology, Immunology, and Allergy, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Centre for Genetics and Genomics Versus Arthritis, The University of Manchester, Manchester, UK
| | - Bruce H. Horwitz
- Department of Pediatrics, Boston Children’s Hospital and Harvard Medical School, Boston, MA
| | - Tanya N. Mayadas
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
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22
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Somatic Dnmt3a inactivation leads to slow, canonical DNA methylation loss in murine hematopoietic cells. iScience 2022; 25:104004. [PMID: 35313694 PMCID: PMC8933692 DOI: 10.1016/j.isci.2022.104004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/17/2022] [Accepted: 02/24/2022] [Indexed: 01/21/2023] Open
Abstract
Mutations in the gene encoding DNA methyltransferase 3A (DNMT3A) are the most common cause of clonal hematopoiesis and are among the most common initiating events of acute myeloid leukemia (AML). Studies in germline and somatic Dnmt3a knockout mice have identified focal, canonical hypomethylation phenotypes in hematopoietic cells; however, the kinetics of methylation loss following acquired DNMT3A inactivation in hematopoietic cells is essentially unknown. Therefore, we evaluated a somatic, inducible model of hematopoietic Dnmt3a loss, and show that inactivation of Dnmt3a in murine hematopoietic cells results in a relatively slow loss of methylation at canonical sites throughout the genome; in contrast, remethylation of Dnmt3a deficient genomes in hematopoietic cells occurs much more quickly. This data suggests that slow methylation loss may contribute, at least in part, to the long latent period that characterizes clonal expansion and leukemia development in individuals with acquired DNMT3A mutations in hematopoietic stem cells.
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23
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Ben-David Y, Gajendran B, Sample KM, Zacksenhaus E. Current insights into the role of Fli-1 in hematopoiesis and malignant transformation. Cell Mol Life Sci 2022; 79:163. [PMID: 35412146 PMCID: PMC11072361 DOI: 10.1007/s00018-022-04160-1] [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: 11/01/2021] [Revised: 01/05/2022] [Accepted: 01/19/2022] [Indexed: 11/27/2022]
Abstract
Fli-1, a member of the ETS family of transcription factors, was discovered in 1991 through retroviral insertional mutagenesis as a driver of mouse erythroleukemias. In the past 30 years, nearly 2000 papers have defined its biology and impact on normal development and cancer. In the hematopoietic system, Fli-1 controls self-renewal of stem cells and their differentiation into diverse mature blood cells. Fli-1 also controls endothelial survival and vasculogenesis, and high and low levels of Fli-1 are implicated in the auto-immune diseases systemic lupus erythematosus and systemic sclerosis, respectively. In addition, aberrant Fli-1 expression is observed in, and is essential for, the growth of multiple hematological malignancies and solid cancers. Here, we review the historical context and latest research on Fli-1, focusing on its role in hematopoiesis, immune response, and malignant transformation. The importance of identifying Fli-1 modulators (both agonists and antagonists) and their potential clinical applications is discussed.
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Affiliation(s)
- Yaacov Ben-David
- State Key Laboratory for Functions and Applications of Medicinal Plants, Guizhou Medical University, Province Science City, High Tech Zone, Baiyun District, Guiyang, 550014, Guizhou Province, People's Republic of China.
- The Key Laboratory of Chemistry for Natural Products of Guizhou Province, Chinese Academic of Sciences, Guiyang, 550014, Guizhou Province, People's Republic of China.
| | - Babu Gajendran
- State Key Laboratory for Functions and Applications of Medicinal Plants, Guizhou Medical University, Province Science City, High Tech Zone, Baiyun District, Guiyang, 550014, Guizhou Province, People's Republic of China
- The Key Laboratory of Chemistry for Natural Products of Guizhou Province, Chinese Academic of Sciences, Guiyang, 550014, Guizhou Province, People's Republic of China
- School of Pharmaceutical Sciences, Guizhou Medical University, Guiyang, 550025, Guizhou Province, People's Republic of China
| | - Klarke M Sample
- State Key Laboratory for Functions and Applications of Medicinal Plants, Guizhou Medical University, Province Science City, High Tech Zone, Baiyun District, Guiyang, 550014, Guizhou Province, People's Republic of China
- The Key Laboratory of Chemistry for Natural Products of Guizhou Province, Chinese Academic of Sciences, Guiyang, 550014, Guizhou Province, People's Republic of China
| | - Eldad Zacksenhaus
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto General Research Institute, Max Bell Research Centre, University Health Network, 101 College Street, Toronto, ON, Canada
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24
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Colden MA, Kumar S, Munkhbileg B, Babushok DV. Insights Into the Emergence of Paroxysmal Nocturnal Hemoglobinuria. Front Immunol 2022; 12:830172. [PMID: 35154088 PMCID: PMC8831232 DOI: 10.3389/fimmu.2021.830172] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 12/30/2021] [Indexed: 11/13/2022] Open
Abstract
Paroxysmal Nocturnal Hemoglobinuria (PNH) is a disease as simple as it is complex. PNH patients develop somatic loss-of-function mutations in phosphatidylinositol N-acetylglucosaminyltransferase subunit A gene (PIGA), required for the biosynthesis of glycosylphosphatidylinositol (GPI) anchors. Ubiquitous in eukaryotes, GPI anchors are a group of conserved glycolipid molecules responsible for attaching nearly 150 distinct proteins to the surface of cell membranes. The loss of two GPI-anchored surface proteins, CD55 and CD59, from red blood cells causes unregulated complement activation and hemolysis in classical PNH disease. In PNH patients, PIGA-mutant, GPI (-) hematopoietic cells clonally expand to make up a large portion of patients’ blood production, yet mechanisms leading to clonal expansion of GPI (-) cells remain enigmatic. Historical models of PNH in mice and the more recent PNH model in rhesus macaques showed that GPI (-) cells reconstitute near-normal hematopoiesis but have no intrinsic growth advantage and do not clonally expand over time. Landmark studies identified several potential mechanisms which can promote PNH clonal expansion. However, to what extent these contribute to PNH cell selection in patients continues to be a matter of active debate. Recent advancements in disease models and immunologic technologies, together with the growing understanding of autoimmune marrow failure, offer new opportunities to evaluate the mechanisms of clonal expansion in PNH. Here, we critically review published data on PNH cell biology and clonal expansion and highlight limitations and opportunities to further our understanding of the emergence of PNH clones.
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Affiliation(s)
- Melissa A. Colden
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Comprehensive Bone Marrow Failure Center, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Sushant Kumar
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Comprehensive Bone Marrow Failure Center, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Bolormaa Munkhbileg
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Comprehensive Bone Marrow Failure Center, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Daria V. Babushok
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Comprehensive Bone Marrow Failure Center, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- *Correspondence: Daria V. Babushok,
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25
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Wen J, Lagler TM, Sun Q, Yang Y, Chen J, Harigaya Y, Sankaran VG, Hu M, Reiner AP, Raffield LM, Li Y. Super interactive promoters provide insight into cell type-specific regulatory networks in blood lineage cell types. PLoS Genet 2022; 18:e1009984. [PMID: 35100265 PMCID: PMC8830683 DOI: 10.1371/journal.pgen.1009984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 02/10/2022] [Accepted: 12/07/2021] [Indexed: 12/13/2022] Open
Abstract
Existing studies of chromatin conformation have primarily focused on potential enhancers interacting with gene promoters. By contrast, the interactivity of promoters per se, while equally critical to understanding transcriptional control, has been largely unexplored, particularly in a cell type-specific manner for blood lineage cell types. In this study, we leverage promoter capture Hi-C data across a compendium of blood lineage cell types to identify and characterize cell type-specific super-interactive promoters (SIPs). Notably, promoter-interacting regions (PIRs) of SIPs are more likely to overlap with cell type-specific ATAC-seq peaks and GWAS variants for relevant blood cell traits than PIRs of non-SIPs. Moreover, PIRs of cell-type-specific SIPs show enriched heritability of relevant blood cell trait (s), and are more enriched with GWAS variants associated with blood cell traits compared to PIRs of non-SIPs. Further, SIP genes tend to express at a higher level in the corresponding cell type. Importantly, SIP subnetworks incorporating cell-type-specific SIPs and ATAC-seq peaks help interpret GWAS variants. Examples include GWAS variants associated with platelet count near the megakaryocyte SIP gene EPHB3 and variants associated lymphocyte count near the native CD4 T-Cell SIP gene ETS1. Interestingly, around 25.7% ~ 39.6% blood cell traits GWAS variants residing in SIP PIR regions disrupt transcription factor binding motifs. Importantly, our analysis shows the potential of using promoter-centric analyses of chromatin spatial organization data to identify biologically important genes and their regulatory regions.
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Affiliation(s)
- Jia Wen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Taylor M. Lagler
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Yuchen Yang
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jiawen Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Yuriko Harigaya
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Harvard Stem Cell Institute, Cambridge, Massachusetts, United States of America
| | - Ming Hu
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, United States of America
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- * E-mail:
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26
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Kdm6a deficiency restricted to mouse hematopoietic cells causes an age- and sex-dependent myelodysplastic syndrome-like phenotype. PLoS One 2021; 16:e0255706. [PMID: 34780480 PMCID: PMC8592440 DOI: 10.1371/journal.pone.0255706] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/19/2021] [Indexed: 12/18/2022] Open
Abstract
Kdm6a/Utx, a gene on the X chromosome, encodes a histone H3K27me3 demethylase that has an orthologue on the Y chromosome (Uty) (Zheng et al. 2018). We previously identified inactivating mutations of Kdm6a in approximately 50% of mouse acute promyelocytic leukemia samples; however, somatic mutations of KDM6A are more rare in human AML samples, ranging in frequency from 2–15% in different series of patients, where their role in pathogenesis is not yet clear. In this study, we show that female Kdm6aflox/flox mice (with allele inactivation initiated by Vav1-Cre in hematopoietic stem and progenitor cells (HSPCs) have a sex-specific phenotype that emerges with aging, with features resembling a myelodysplastic syndrome (MDS). Female Kdm6a-knockout (KO) mice have an age-dependent expansion of their HSPCs with aberrant self-renewal, but they did not differentiate normally into downstream progeny. These mice became mildly anemic and thrombocytopenic, but did not develop overt leukemia, or die from these cytopenias. ChIP-seq and ATAC-seq studies showed only minor changes in H3K27me3, H3K27ac, H3K4me, H3K4me3 and chromatin accessibility between Kdm6a-WT and Kdm6a-KO mice. Utilizing scRNA-seq, Kdm6a loss was linked to the transcriptional repression of genes that mediate hematopoietic cell fate determination. These data demonstrate that Kdm6a plays an important role in normal hematopoiesis, and that its inactivation may contribute to AML pathogenesis.
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27
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Gilbertson SE, Weinmann AS. Conservation and divergence in gene regulation between mouse and human immune cells deserves equal emphasis. Trends Immunol 2021; 42:1077-1087. [PMID: 34740529 DOI: 10.1016/j.it.2021.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 02/06/2023]
Abstract
Model organisms such as mice are important for basic research and serve as valuable tools in preclinical translational studies. A challenge with translating findings from mice to humans is identifying and separating evolutionarily conserved mechanisms in the immune system from those diverging between species. A significant emphasis has been placed on defining conserved gene regulation principles, with divergent mechanisms often overlooked. We put forward the perspective that both conserved and divergent mechanisms that regulate gene expression programs are of equal importance. With recent advances and availability of datasets, immunologists should take a closer look at the role for genetic diversity in altering gene expression programs between mouse and human immune cells.
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Affiliation(s)
- Sarah E Gilbertson
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Amy S Weinmann
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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28
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Smith AM, LaValle TA, Shinawi M, Ramakrishnan SM, Abel HJ, Hill CA, Kirkland NM, Rettig MP, Helton NM, Heath SE, Ferraro F, Chen DY, Adak S, Semenkovich CF, Christian DL, Martin JR, Gabel HW, Miller CA, Ley TJ. Functional and epigenetic phenotypes of humans and mice with DNMT3A Overgrowth Syndrome. Nat Commun 2021; 12:4549. [PMID: 34315901 PMCID: PMC8316576 DOI: 10.1038/s41467-021-24800-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 07/08/2021] [Indexed: 01/02/2023] Open
Abstract
Germline pathogenic variants in DNMT3A were recently described in patients with overgrowth, obesity, behavioral, and learning difficulties (DNMT3A Overgrowth Syndrome/DOS). Somatic mutations in the DNMT3A gene are also the most common cause of clonal hematopoiesis, and can initiate acute myeloid leukemia (AML). Using whole genome bisulfite sequencing, we studied DNA methylation in peripheral blood cells of 11 DOS patients and found a focal, canonical hypomethylation phenotype, which is most severe with the dominant negative DNMT3AR882H mutation. A germline mouse model expressing the homologous Dnmt3aR878H mutation phenocopies most aspects of the human DOS syndrome, including the methylation phenotype and an increased incidence of spontaneous hematopoietic malignancies, suggesting that all aspects of this syndrome are caused by this mutation.
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Affiliation(s)
- Amanda M Smith
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Taylor A LaValle
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Marwan Shinawi
- Department of Pediatrics, Division of Genetics and Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Sai M Ramakrishnan
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Haley J Abel
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Cheryl A Hill
- Department of Pathology and Anatomical Science, University of Missouri School of Medicine, Columbia, MO, USA
| | - Nicole M Kirkland
- Department of Pathology and Anatomical Science, University of Missouri School of Medicine, Columbia, MO, USA
| | - Michael P Rettig
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Nichole M Helton
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Sharon E Heath
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Francesca Ferraro
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - David Y Chen
- Division of Dermatology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Sangeeta Adak
- Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Clay F Semenkovich
- Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Diana L Christian
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Jenna R Martin
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Harrison W Gabel
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Christopher A Miller
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Timothy J Ley
- Division of Oncology, Section of Stem Cell Biology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
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Whole Blood Transcriptome Characterization of 3xTg-AD Mouse and Its Modulation by Transcranial Direct Current Stimulation (tDCS). Int J Mol Sci 2021; 22:ijms22147629. [PMID: 34299250 PMCID: PMC8306644 DOI: 10.3390/ijms22147629] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/13/2021] [Accepted: 07/15/2021] [Indexed: 12/05/2022] Open
Abstract
The 3xTg-AD mouse is a widely used model in the study of Alzheimer’s Disease (AD). It has been extensively characterized from both the anatomical and behavioral point of view, but poorly studied at the transcriptomic level. For the first time, we characterize the whole blood transcriptome of the 3xTg-AD mouse at three and six months of age and evaluate how its gene expression is modulated by transcranial direct current stimulation (tDCS). RNA-seq analysis revealed 183 differentially expressed genes (DEGs) that represent a direct signature of the genetic background of the mouse. Moreover, in the 6-month-old 3xTg-AD mice, we observed a high number of DEGs that could represent good peripheral biomarkers of AD symptomatology onset. Finally, tDCS was associated with gene expression changes in the 3xTg-AD, but not in the control mice. In conclusion, this study provides an in-depth molecular characterization of the 3xTg-AD mouse and suggests that blood gene expression can be used to identify new biomarkers of AD progression and treatment effects.
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30
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Fu YK, Tan Y, Wu B, Dai YT, Xu XG, Pan MM, Chen ZW, Qiao N, Wu J, Jiang L, Lu J, Chen B, Rein A, Izraeli S, Sun XJ, Huang JY, Huang QH, Chen Z, Chen SJ. Gata2-L359V impairs primitive and definitive hematopoiesis and blocks cell differentiation in murine chronic myelogenous leukemia model. Cell Death Dis 2021; 12:568. [PMID: 34078881 PMCID: PMC8173010 DOI: 10.1038/s41419-021-03826-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 05/01/2021] [Accepted: 05/11/2021] [Indexed: 02/05/2023]
Abstract
GATA2, a key transcription factor in hematopoiesis, is frequently mutated in hematopoietic malignancies. How the GATA2 mutants contribute to hematopoiesis and malignant transformation remains largely unexplored. Here, we report that Gata2-L359V mutation impeded hematopoietic differentiation in murine embryonic and adult hematopoiesis and blocked murine chronic myeloid leukemia (CML) cell differentiation. We established a Gata2-L359V knockin mouse model in which the homozygous Gata2-L359V mutation caused major defects in primitive erythropoiesis with an accumulation of erythroid precursors and severe anemia, leading to embryonic lethality around E11.5. During adult life, the Gata2-L359V heterozygous mice exhibited a notable decrease in bone marrow (BM) recovery under stress induction with cytotoxic drug 5-fluorouracil. Using RNA sequencing, it was revealed that homozygous Gata2-L359V suppressed genes related to embryonic hematopoiesis in yolk sac, while heterozygous Gata2-L359V dysregulated genes related to cell cycle and proliferation in BM Lin-Sca1+c-kit+ cells. Furthermore, through chromatin immunoprecipitation sequencing and transactivation experiments, we found that this mutation enhanced the DNA-binding capacity and transcriptional activities of Gata2, which was likely associated with the altered expression of some essential genes during embryonic and adult hematopoiesis. In mice model harboring BCR/ABL, single-cell RNA-sequencing demonstrated that Gata2-L359V induced additional gene expression profile abnormalities and partially affected cell differentiation at the early stage of myelomonocytic lineage, evidenced by the increase of granulocyte-monocyte progenitors and monocytosis. Taken together, our study unveiled that Gata2-L359V mutation induces defective hematopoietic development and blocks the differentiation of CML cells.
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Affiliation(s)
- Ya-Kai Fu
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China ,grid.415869.7Present Address: Department of Rheumatology, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Tan
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Bo Wu
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China ,grid.16821.3c0000 0004 0368 8293Institute of Health Sciences, Shanghai Institutes for Biological Sciences and Graduate School, Chinese Academy of Sciences and SJTU School of Medicine, Shanghai, China
| | - Yu-Ting Dai
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Xiao-Guang Xu
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Meng-Meng Pan
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Zhi-Wei Chen
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Niu Qiao
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Jing Wu
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Lu Jiang
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Jing Lu
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Bing Chen
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Avigail Rein
- grid.12136.370000 0004 1937 0546Cancer Research Center, Sheba Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shai Izraeli
- grid.12136.370000 0004 1937 0546Division of Pediatric Hemato-Oncology, Schneider Children’s Medical Center of Israel, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Xiao-Jian Sun
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Jin-Yan Huang
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Qiu-Hua Huang
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Zhu Chen
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Sai-Juan Chen
- grid.412277.50000 0004 1760 6738Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
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31
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Shao L, Elujoba-Bridenstine A, Zink KE, Sanchez LM, Cox BJ, Pollok KE, Sinn AL, Bailey BJ, Sims EC, Cooper SH, Broxmeyer HE, Pajcini KV, Tamplin OJ. The neurotransmitter receptor Gabbr1 regulates proliferation and function of hematopoietic stem and progenitor cells. Blood 2021; 137:775-787. [PMID: 32881992 PMCID: PMC7885825 DOI: 10.1182/blood.2019004415] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 08/16/2020] [Indexed: 02/07/2023] Open
Abstract
Hematopoietic and nervous systems are linked via innervation of bone marrow (BM) niche cells. Hematopoietic stem/progenitor cells (HSPCs) express neurotransmitter receptors, such as the γ-aminobutyric acid (GABA) type B receptor subunit 1 (GABBR1), suggesting that HSPCs could be directly regulated by neurotransmitters like GABA that directly bind to GABBR1. We performed imaging mass spectrometry and found that the endogenous GABA molecule is regionally localized and concentrated near the endosteum of the BM niche. To better understand the role of GABBR1 in regulating HSPCs, we generated a constitutive Gabbr1-knockout mouse model. Analysis revealed that HSPC numbers were significantly reduced in the BM compared with wild-type littermates. Moreover, Gabbr1-null hematopoietic stem cells had diminished capacity to reconstitute irradiated recipients in a competitive transplantation model. Gabbr1-null HSPCs were less proliferative under steady-state conditions and upon stress. Colony-forming unit assays demonstrated that almost all Gabbr1-null HSPCs were in a slow or noncycling state. In vitro differentiation of Gabbr1-null HSPCs in cocultures produced fewer overall cell numbers with significant defects in differentiation and expansion of the B-cell lineage. To determine whether a GABBR1 agonist could stimulate human umbilical cord blood (UCB) HSPCs, we performed brief ex vivo treatment prior to transplant into immunodeficient mice, with significant increases in long-term engraftment of HSPCs compared with GABBR1 antagonist or vehicle treatments. Our results indicate a direct role for GABBR1 in HSPC proliferation, and identify a potential target to improve HSPC engraftment in clinical transplantation.
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Affiliation(s)
- Lijian Shao
- Department of Pharmacology, University of Illinois at Chicago, Chicago, IL
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, People's Republic of China
| | - Adedamola Elujoba-Bridenstine
- Department of Pharmacology, University of Illinois at Chicago, Chicago, IL
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI
| | - Katherine E Zink
- Department of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, IL
| | - Laura M Sanchez
- Department of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, IL
| | - Brian J Cox
- Department of Physiology and
- Department of Obstetrics and Gynaecology, University of Toronto, Toronto, ON, Canada; and
| | - Karen E Pollok
- Department of Pharmacology and Toxicology
- Department of Pediatrics
- Melvin and Bren Simon Cancer Center, and
| | | | | | | | - Scott H Cooper
- Department of Microbiology and Immunology, School of Medicine, Indiana University, Indianapolis, IN
| | - Hal E Broxmeyer
- Melvin and Bren Simon Cancer Center, and
- Department of Microbiology and Immunology, School of Medicine, Indiana University, Indianapolis, IN
| | | | - Owen J Tamplin
- Department of Pharmacology, University of Illinois at Chicago, Chicago, IL
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI
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32
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Ragusa S, Prat-Luri B, González-Loyola A, Nassiri S, Squadrito ML, Guichard A, Cavin S, Gjorevski N, Barras D, Marra G, Lutolf MP, Perentes J, Corse E, Bianchi R, Wetterwald L, Kim J, Oliver G, Delorenzi M, De Palma M, Petrova TV. Antiangiogenic immunotherapy suppresses desmoplastic and chemoresistant intestinal tumors in mice. J Clin Invest 2020; 130:1199-1216. [PMID: 32015230 DOI: 10.1172/jci129558] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 11/20/2019] [Indexed: 12/24/2022] Open
Abstract
Mutations in APC promote colorectal cancer (CRC) progression through uncontrolled WNT signaling. Patients with desmoplastic CRC have a significantly worse prognosis and do not benefit from chemotherapy, but the mechanisms underlying the differential responses of APC-mutant CRCs to chemotherapy are not well understood. We report that expression of the transcription factor prospero homeobox 1 (PROX1) was reduced in desmoplastic APC-mutant human CRCs. In genetic Apc-mutant mouse models, loss of Prox1 promoted the growth of desmoplastic, angiogenic, and immunologically silent tumors through derepression of Mmp14. Although chemotherapy inhibited Prox1-proficient tumors, it promoted further stromal activation, angiogenesis, and invasion in Prox1-deficient tumors. Blockade of vascular endothelial growth factor A (VEGFA) and angiopoietin-2 (ANGPT2) combined with CD40 agonistic antibodies promoted antiangiogenic and immunostimulatory reprogramming of Prox1-deficient tumors, destroyed tumor fibrosis, and unleashed T cell-mediated killing of cancer cells. These results pinpoint the mechanistic basis of chemotherapy-induced hyperprogression and illustrate a therapeutic strategy for chemoresistant and desmoplastic CRCs.
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Affiliation(s)
- Simone Ragusa
- Department of Oncology, University of Lausanne and CHUV, Epalinges, Switzerland.,Ludwig Institute for Cancer Research Lausanne, Epalinges, Switzerland
| | - Borja Prat-Luri
- Department of Oncology, University of Lausanne and CHUV, Epalinges, Switzerland.,Ludwig Institute for Cancer Research Lausanne, Epalinges, Switzerland
| | - Alejandra González-Loyola
- Department of Oncology, University of Lausanne and CHUV, Epalinges, Switzerland.,Ludwig Institute for Cancer Research Lausanne, Epalinges, Switzerland
| | - Sina Nassiri
- Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland.,Swiss Institute for Experimental Cancer Research, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Mario Leonardo Squadrito
- Swiss Institute for Experimental Cancer Research, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Alan Guichard
- Swiss Institute for Experimental Cancer Research, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Sabrina Cavin
- Division of Thoracic Surgery, CHUV, Lausanne, Switzerland
| | - Nikolce Gjorevski
- Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - David Barras
- Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Giancarlo Marra
- Institute of Molecular Cancer Research, University of Zurich, Zurich, Switzerland
| | - Matthias P Lutolf
- Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Jean Perentes
- Division of Thoracic Surgery, CHUV, Lausanne, Switzerland
| | - Emily Corse
- Roche Innovation Center Zurich, Roche Pharmaceutical Research and Early Development, (pRED), Schlieren, Switzerland
| | - Roberta Bianchi
- Roche Innovation Center Zurich, Roche Pharmaceutical Research and Early Development, (pRED), Schlieren, Switzerland
| | - Laureline Wetterwald
- Department of Oncology, University of Lausanne and CHUV, Epalinges, Switzerland.,Ludwig Institute for Cancer Research Lausanne, Epalinges, Switzerland
| | - Jaeryung Kim
- Department of Oncology, University of Lausanne and CHUV, Epalinges, Switzerland.,Ludwig Institute for Cancer Research Lausanne, Epalinges, Switzerland
| | - Guillermo Oliver
- Center for Vascular and Developmental Biology, Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Mauro Delorenzi
- Department of Oncology, University of Lausanne and CHUV, Epalinges, Switzerland.,Ludwig Institute for Cancer Research Lausanne, Epalinges, Switzerland.,Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Michele De Palma
- Swiss Institute for Experimental Cancer Research, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tatiana V Petrova
- Department of Oncology, University of Lausanne and CHUV, Epalinges, Switzerland.,Ludwig Institute for Cancer Research Lausanne, Epalinges, Switzerland
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33
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A new lymphoid-primed progenitor marked by Dach1 downregulation identified with single cell multi-omics. Nat Immunol 2020; 21:1574-1584. [PMID: 33077975 DOI: 10.1038/s41590-020-0799-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 08/27/2020] [Indexed: 12/21/2022]
Abstract
A classical view of blood cell development is that multipotent hematopoietic stem and progenitor cells (HSPCs) become lineage-restricted at defined stages. Lin-c-Kit+Sca-1+Flt3+ cells, termed lymphoid-primed multipotent progenitors (LMPPs), have lost megakaryocyte and erythroid potential but are heterogeneous in their fate. Here, through single-cell RNA sequencing, we identify the expression of Dach1 and associated genes in this fraction as being coexpressed with myeloid/stem genes but inversely correlated with lymphoid genes. Through generation of Dach1-GFP reporter mice, we identify a transcriptionally and functionally unique Dach1-GFP- subpopulation within LMPPs with lymphoid potential with low to negligible classic myeloid potential. We term these 'lymphoid-primed progenitors' (LPPs). These findings define an early definitive branch point of lymphoid development in hematopoiesis and a means for prospective isolation of LPPs.
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34
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Maslova A, Ramirez RN, Ma K, Schmutz H, Wang C, Fox C, Ng B, Benoist C, Mostafavi S. Deep learning of immune cell differentiation. Proc Natl Acad Sci U S A 2020; 117:25655-25666. [PMID: 32978299 PMCID: PMC7568267 DOI: 10.1073/pnas.2011795117] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Although we know many sequence-specific transcription factors (TFs), how the DNA sequence of cis-regulatory elements is decoded and orchestrated on the genome scale to determine immune cell differentiation is beyond our grasp. Leveraging a granular atlas of chromatin accessibility across 81 immune cell types, we asked if a convolutional neural network (CNN) could learn to infer cell type-specific chromatin accessibility solely from regulatory DNA sequences. With a tailored architecture and an ensemble approach to CNN parameter interpretation, we show that our trained network ("AI-TAC") does so by rediscovering ab initio the binding motifs for known regulators and some unknown ones. Motifs whose importance is learned virtually as functionally important overlap strikingly well with positions determined by chromatin immunoprecipitation for several TFs. AI-TAC establishes a hierarchy of TFs and their interactions that drives lineage specification and also identifies stage-specific interactions, like Pax5/Ebf1 vs. Pax5/Prdm1, or the role of different NF-κB dimers in different cell types. AI-TAC assigns Spi1/Cebp and Pax5/Ebf1 as the drivers necessary for myeloid and B lineage fates, respectively, but no factors seemed as dominantly required for T cell differentiation, which may represent a fall-back pathway. Mouse-trained AI-TAC can parse human DNA, revealing a strikingly similar ranking of influential TFs and providing additional support that AI-TAC is a generalizable regulatory sequence decoder. Thus, deep learning can reveal the regulatory syntax predictive of the full differentiative complexity of the immune system.
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Affiliation(s)
- Alexandra Maslova
- Department of Statistics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | | | - Ke Ma
- Department of Computer Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Hugo Schmutz
- Department of Immunology, Harvard Medical School, Boston, MA 02115
| | - Chendi Wang
- Department of Statistics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Curtis Fox
- Department of Computer Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Bernard Ng
- Department of Statistics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | | | - Sara Mostafavi
- Department of Statistics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada;
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Canadian Institute for Advanced Research, CIFAR AI, Toronto, ON M5G 1M1, Canada
- Vector Institute, Toronto, ON M5G 1M1, Canada
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35
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Goh W, Scheer S, Jackson JT, Hediyeh-Zadeh S, Delconte RB, Schuster IS, Andoniou CE, Rautela J, Degli-Esposti MA, Davis MJ, McCormack MP, Nutt SL, Huntington ND. Hhex Directly Represses BIM-Dependent Apoptosis to Promote NK Cell Development and Maintenance. Cell Rep 2020; 33:108285. [PMID: 33086067 DOI: 10.1016/j.celrep.2020.108285] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 08/17/2020] [Accepted: 09/25/2020] [Indexed: 12/15/2022] Open
Abstract
Hhex encodes a homeobox transcriptional regulator important for embryonic development and hematopoiesis. Hhex is highly expressed in NK cells, and its germline deletion results in significant defects in lymphoid development, including NK cells. To determine if Hhex is intrinsically required throughout NK cell development or for NK cell function, we generate mice that specifically lack Hhex in NK cells. NK cell frequency is dramatically reduced, while NK cell differentiation, IL-15 responsiveness, and function at the cellular level remain largely normal in the absence of Hhex. Increased IL-15 availability fails to fully reverse NK lymphopenia following conditional Hhex deletion, suggesting that Hhex regulates developmental pathways extrinsic to those dependent on IL-15. Gene expression and functional genetic approaches reveal that Hhex regulates NK cell survival by directly binding Bcl2l11 (Bim) and repressing expression of this key apoptotic mediator. These data implicate Hhex as a transcriptional regulator of NK cell homeostasis and immunity.
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Affiliation(s)
- Wilford Goh
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Sebastian Scheer
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Jacob T Jackson
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Soroor Hediyeh-Zadeh
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia
| | - Rebecca B Delconte
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Iona S Schuster
- Centre for Experimental Immunology, Lions Eye Institute, Nedlands, Western Australia, 6009, Australia; Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Christopher E Andoniou
- Centre for Experimental Immunology, Lions Eye Institute, Nedlands, Western Australia, 6009, Australia; Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Jai Rautela
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia; Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, 3800, Australia; oNKo-Innate Pty Ltd., 27 Norwood Cres, Moonee Ponds, Victoria, 3039, Australia
| | - Mariapia A Degli-Esposti
- Centre for Experimental Immunology, Lions Eye Institute, Nedlands, Western Australia, 6009, Australia; Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Melissa J Davis
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia; Department of Clinical Pathology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Matthew P McCormack
- The Australian Centre for Blood Diseases, Monash University, Melbourne, Victoria, 3004, Australia
| | - Stephen L Nutt
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Nicholas D Huntington
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia; Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, 3800, Australia; oNKo-Innate Pty Ltd., 27 Norwood Cres, Moonee Ponds, Victoria, 3039, Australia.
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36
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Teschendorff AE, Zhu T, Breeze CE, Beck S. EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data. Genome Biol 2020; 21:221. [PMID: 32883324 PMCID: PMC7650528 DOI: 10.1186/s13059-020-02126-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 07/29/2020] [Indexed: 12/19/2022] Open
Abstract
Cell type heterogeneity presents a challenge to the interpretation of epigenome data, compounded by the difficulty in generating reliable single-cell DNA methylomes for large numbers of cells and samples. We present EPISCORE, a computational algorithm that performs virtual microdissection of bulk tissue DNA methylation data at single cell-type resolution for any solid tissue. EPISCORE applies a probabilistic epigenetic model of gene regulation to a single-cell RNA-seq tissue atlas to generate a tissue-specific DNA methylation reference matrix, allowing quantification of cell-type proportions and cell-type-specific differential methylation signals in bulk tissue data. We validate EPISCORE in multiple epigenome studies and tissue types.
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Affiliation(s)
- Andrew E Teschendorff
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
- UCL Cancer Institute, Paul O'Gorman Building, University College London, 72 Huntley Street, London, WC1E 6BT, UK.
| | - Tianyu Zhu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Charles E Breeze
- Altius Institute for Biomedical Sciences, 2211 Elliott Avenue, Seattle, USA
| | - Stephan Beck
- UCL Cancer Institute, Paul O'Gorman Building, University College London, 72 Huntley Street, London, WC1E 6BT, UK
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37
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Angel PW, Rajab N, Deng Y, Pacheco CM, Chen T, Lê Cao KA, Choi J, Wells CA. A simple, scalable approach to building a cross-platform transcriptome atlas. PLoS Comput Biol 2020; 16:e1008219. [PMID: 32986694 PMCID: PMC7544119 DOI: 10.1371/journal.pcbi.1008219] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 10/08/2020] [Accepted: 08/04/2020] [Indexed: 12/21/2022] Open
Abstract
Gene expression atlases have transformed our understanding of the development, composition and function of human tissues. New technologies promise improved cellular or molecular resolution, and have led to the identification of new cell types, or better defined cell states. But as new technologies emerge, information derived on old platforms becomes obsolete. We demonstrate that it is possible to combine a large number of different profiling experiments summarised from dozens of laboratories and representing hundreds of donors, to create an integrated molecular map of human tissue. As an example, we combine 850 samples from 38 platforms to build an integrated atlas of human blood cells. We achieve robust and unbiased cell type clustering using a variance partitioning method, selecting genes with low platform bias relative to biological variation. Other than an initial rescaling, no other transformation to the primary data is applied through batch correction or renormalisation. Additional data, including single-cell datasets, can be projected for comparison, classification and annotation. The resulting atlas provides a multi-scaled approach to visualise and analyse the relationships between sets of genes and blood cell lineages, including the maturation and activation of leukocytes in vivo and in vitro. In allowing for data integration across hundreds of studies, we address a key reproduciblity challenge which is faced by any new technology. This allows us to draw on the deep phenotypes and functional annotations that accompany traditional profiling methods, and provide important context to the high cellular resolution of single cell profiling. Here, we have implemented the blood atlas in the open access Stemformatics.org platform, drawing on its extensive collection of curated transcriptome data. The method is simple, scalable and amenable for rapid deployment in other biological systems or computational workflows.
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Affiliation(s)
- Paul W. Angel
- Centre for Stem Cell Systems, The University of Melbourne, Melbourne, Victoria, Australia
| | - Nadia Rajab
- Centre for Stem Cell Systems, The University of Melbourne, Melbourne, Victoria, Australia
| | - Yidi Deng
- Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Chris M. Pacheco
- Centre for Stem Cell Systems, The University of Melbourne, Melbourne, Victoria, Australia
| | - Tyrone Chen
- Centre for Stem Cell Systems, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kim-Anh Lê Cao
- Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jarny Choi
- Centre for Stem Cell Systems, The University of Melbourne, Melbourne, Victoria, Australia
| | - Christine A. Wells
- Centre for Stem Cell Systems, The University of Melbourne, Melbourne, Victoria, Australia
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38
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Conventional Co-Housing Modulates Murine Gut Microbiota and Hematopoietic Gene Expression. Int J Mol Sci 2020; 21:ijms21176143. [PMID: 32858886 PMCID: PMC7503692 DOI: 10.3390/ijms21176143] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 08/21/2020] [Accepted: 08/21/2020] [Indexed: 12/27/2022] Open
Abstract
Specific-pathogen-free (SPF) mice have improved hematopoietic characteristics relative to germ-free mice, however, it is not clear whether improvements in hematopoietic traits will continue when the level of microorganism exposure is further increased. We co-housed SPF C57BL/6 mice in a conventional facility (CVT) and found a significant increase in gut microbiota diversity along with increased levels of myeloid cells and T cells, especially effector memory T cells. Through single cell RNA sequencing of sorted KL (c-Kit+Lin−) cells, we imputed a decline in long-term hematopoietic stem cells and an increase in granulocyte-monocyte progenitors in CVT mice with up-regulation of genes associated with cell survival. Bone marrow transplantation through competitive repopulation revealed a significant increase in KSL (c-Kit+Sca-1+Lin−) cell reconstitution in recipients of CVT donor cells which occurred when donors were co-housed for both one and twelve months. However, there was minimal to no gain in mature blood cell engraftment in recipients of CVT donor cells relative to those receiving SPF donor cells. We conclude that co-housing SPF mice with mice born in a conventional facility increased gut microbiota diversity, augmented myeloid cell production and T cell activation, stimulated KSL cell reconstitution, and altered hematopoietic gene expression.
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39
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Hao Shi, Yan KK, Ding L, Qian C, Chi H, Yu J. Network Approaches for Dissecting the Immune System. iScience 2020; 23:101354. [PMID: 32717640 PMCID: PMC7390880 DOI: 10.1016/j.isci.2020.101354] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/21/2020] [Accepted: 07/08/2020] [Indexed: 02/06/2023] Open
Abstract
The immune system is a complex biological network composed of hierarchically organized genes, proteins, and cellular components that combat external pathogens and monitor the onset of internal disease. To meet and ultimately defeat these challenges, the immune system orchestrates an exquisitely complex interplay of numerous cells, often with highly specialized functions, in a tissue-specific manner. One of the major methodologies of systems immunology is to measure quantitatively the components and interaction levels in the immunologic networks to construct a computational network and predict the response of the components to perturbations. The recent advances in high-throughput sequencing techniques have provided us with a powerful approach to dissecting the complexity of the immune system. Here we summarize the latest progress in integrating omics data and network approaches to construct networks and to infer the underlying signaling and transcriptional landscape, as well as cell-cell communication, in the immune system, with a focus on hematopoiesis, adaptive immunity, and tumor immunology. Understanding the network regulation of immune cells has provided new insights into immune homeostasis and disease, with important therapeutic implications for inflammation, cancer, and other immune-mediated disorders.
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Affiliation(s)
- Hao Shi
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Koon-Kiu Yan
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Liang Ding
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Chenxi Qian
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jiyang Yu
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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40
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Eosinophil function in adipose tissue is regulated by Krüppel-like factor 3 (KLF3). Nat Commun 2020; 11:2922. [PMID: 32523103 PMCID: PMC7286919 DOI: 10.1038/s41467-020-16758-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 05/20/2020] [Indexed: 01/01/2023] Open
Abstract
The conversion of white adipocytes to thermogenic beige adipocytes represents a potential mechanism to treat obesity and related metabolic disorders. However, the mechanisms involved in converting white to beige adipose tissue remain incompletely understood. Here we show profound beiging in a genetic mouse model lacking the transcriptional repressor Krüppel-like factor 3 (KLF3). Bone marrow transplants from these animals confer the beige phenotype on wild type recipients. Analysis of the cellular and molecular changes reveal an accumulation of eosinophils in adipose tissue. We examine the transcriptomic profile of adipose-resident eosinophils and posit that KLF3 regulates adipose tissue function via transcriptional control of secreted molecules linked to beiging. Furthermore, we provide evidence that eosinophils may directly act on adipocytes to drive beiging and highlight the critical role of these little-understood immune cells in thermogenesis. Immune cells are important regulators of adipose tissue function, including adaptive thermogenesis. Here the authors show that mice with Krüppel-like factor 3 (KLF3) deficiency in bone marrow-derived cells have increased adipose tissue beiging which may at least in part be due to altered eosinophil paracrine signaling.
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41
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Combined inhibition of JAK/STAT pathway and lysine-specific demethylase 1 as a therapeutic strategy in CSF3R/CEBPA mutant acute myeloid leukemia. Proc Natl Acad Sci U S A 2020; 117:13670-13679. [PMID: 32471953 DOI: 10.1073/pnas.1918307117] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Acute myeloid leukemia (AML) is a deadly hematologic malignancy with poor prognosis, particularly in the elderly. Even among individuals with favorable-risk disease, approximately half will relapse with conventional therapy. In this clinical circumstance, the determinants of relapse are unclear, and there are no therapeutic interventions that can prevent recurrent disease. Mutations in the transcription factor CEBPA are associated with favorable risk in AML. However, mutations in the growth factor receptor CSF3R are commonly co-occurrent in CEBPA mutant AML and are associated with an increased risk of relapse. To develop therapeutic strategies for this disease subset, we performed medium-throughput drug screening on CEBPA/CSF3R mutant leukemia cells and identified sensitivity to inhibitors of lysine-specific demethylase 1 (LSD1). Treatment of CSF3R/CEBPA mutant leukemia cells with LSD1 inhibitors reactivates differentiation-associated enhancers driving immunophenotypic and morphologic differentiation. LSD1 inhibition is ineffective as monotherapy but demonstrates synergy with inhibitors of JAK/STAT signaling, doubling median survival in vivo. These results demonstrate that combined inhibition of JAK/STAT signaling and LSD1 is a promising therapeutic strategy for CEBPA/CSF3R mutant AML.
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42
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Bagger FO, Kinalis S, Rapin N. BloodSpot: a database of healthy and malignant haematopoiesis updated with purified and single cell mRNA sequencing profiles. Nucleic Acids Res 2020; 47:D881-D885. [PMID: 30395307 PMCID: PMC6323996 DOI: 10.1093/nar/gky1076] [Citation(s) in RCA: 147] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Accepted: 10/24/2018] [Indexed: 12/31/2022] Open
Abstract
BloodSpot is a gene-centric database of mRNA expression of haematopoietic cells. The web-based interface to the database includes three concomitant levels of visualization for a gene query; foremost is the expression across hematopoietic cell types, second is analysis of survival of Acute Myeloid Leukaemia patients based on gene expression, and lastly, the expression visualized in an interactive developmental tree. With the introduction of single cell data we have now also included an unbiased dimensionality reduction method to show gene expression over the continuum of haematopoiesis. The webserver includes a few select analysis functionalities, like Student's t-test, identification of correlating genes and lookup of whole genetic signatures, with the aim of making generation and testing of hypotheses quick and intuitive. The visualizations have been updated to accommodate new datatypes and the database has been largely expanded with RNA-sequencing datasets, both purified in bulk and at single cell resolution, increasing the number of single samples more than 10 fold, while keeping simplicity in presentation. The database should be of interest for any researcher within leukaemia, haematopoiesis, cellular development, or stem cells. The database is freely available at www.bloodspot.eu
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Affiliation(s)
- Frederik Otzen Bagger
- Centre for Genomic Medicine, Rigshospitalet, University of Copenhagen Copenhagen, DK-2100 Copenhagen, Denmark.,UKBB Universitats-Kinderspital, Department of Biomedicine, Basel, 4031 Basel, Switzerland.,Swiss Institute of Bioinformatics, Basel, 4053 Basel, Switzerland
| | - Savvas Kinalis
- Centre for Genomic Medicine, Rigshospitalet, University of Copenhagen Copenhagen, DK-2100 Copenhagen, Denmark
| | - Nicolas Rapin
- The Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.,Biotech Research and Innovation Center (BRIC), University of Copenhagen, 2200 Copenhagen, Denmark.,Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.,The Bioinformatics Centre University of Copenhagen, 2200 Copenhagen, Denmark
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43
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Di Genua C, Valletta S, Buono M, Stoilova B, Sweeney C, Rodriguez-Meira A, Grover A, Drissen R, Meng Y, Beveridge R, Aboukhalil Z, Karamitros D, Belderbos ME, Bystrykh L, Thongjuea S, Vyas P, Nerlov C. C/EBPα and GATA-2 Mutations Induce Bilineage Acute Erythroid Leukemia through Transformation of a Neomorphic Neutrophil-Erythroid Progenitor. Cancer Cell 2020; 37:690-704.e8. [PMID: 32330454 PMCID: PMC7218711 DOI: 10.1016/j.ccell.2020.03.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 01/12/2020] [Accepted: 03/27/2020] [Indexed: 01/08/2023]
Abstract
Acute erythroid leukemia (AEL) commonly involves both myeloid and erythroid lineage transformation. However, the mutations that cause AEL and the cell(s) that sustain the bilineage leukemia phenotype remain unknown. We here show that combined biallelic Cebpa and Gata2 zinc finger-1 (ZnF1) mutations cooperatively induce bilineage AEL, and that the major leukemia-initiating cell (LIC) population has a neutrophil-monocyte progenitor (NMP) phenotype. In pre-leukemic NMPs Cebpa and Gata2 mutations synergize by increasing erythroid transcription factor (TF) expression and erythroid TF chromatin access, respectively, thereby installing ectopic erythroid potential. This erythroid-permissive chromatin conformation is retained in bilineage LICs. These results demonstrate that synergistic transcriptional and epigenetic reprogramming by leukemia-initiating mutations can generate neomorphic pre-leukemic progenitors, defining the lineage identity of the resulting leukemia.
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Affiliation(s)
- Cristina Di Genua
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Simona Valletta
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Mario Buono
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Bilyana Stoilova
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK; NIHR Oxford Biomedical Research Center, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Connor Sweeney
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK; NIHR Oxford Biomedical Research Center, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Alba Rodriguez-Meira
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Amit Grover
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Roy Drissen
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Yiran Meng
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Ryan Beveridge
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - Zahra Aboukhalil
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK; NIHR Oxford Biomedical Research Center, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Dimitris Karamitros
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK; NIHR Oxford Biomedical Research Center, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Mirjam E Belderbos
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, the Netherlands
| | - Leonid Bystrykh
- European Research Institute for the Biology of Ageing, University Medical Center Groningen, 9713 AV Groningen, the Netherlands
| | - Supat Thongjuea
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK; NIHR Oxford Biomedical Research Center, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Paresh Vyas
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK; NIHR Oxford Biomedical Research Center, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Claus Nerlov
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK.
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44
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Choi J, Baldwin TM, Wong M, Bolden JE, Fairfax KA, Lucas EC, Cole R, Biben C, Morgan C, Ramsay KA, Ng AP, Kauppi M, Corcoran LM, Shi W, Wilson N, Wilson MJ, Alexander WS, Hilton DJ, de Graaf CA. Haemopedia RNA-seq: a database of gene expression during haematopoiesis in mice and humans. Nucleic Acids Res 2020; 47:D780-D785. [PMID: 30395284 PMCID: PMC6324085 DOI: 10.1093/nar/gky1020] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/12/2018] [Indexed: 11/24/2022] Open
Abstract
During haematopoiesis, haematopoietic stem cells differentiate into restricted potential progenitors before maturing into the many lineages required for oxygen transport, wound healing and immune response. We have updated Haemopedia, a database of gene-expression profiles from a broad spectrum of haematopoietic cells, to include RNA-seq gene-expression data from both mice and humans. The Haemopedia RNA-seq data set covers a wide range of lineages and progenitors, with 57 mouse blood cell types (flow sorted populations from healthy mice) and 12 human blood cell types. This data set has been made accessible for exploration and analysis, to researchers and clinicians with limited bioinformatics experience, on our online portal Haemosphere: https://www.haemosphere.org. Haemosphere also includes nine other publicly available high-quality data sets relevant to haematopoiesis. We have added the ability to compare gene expression across data sets and species by curating data sets with shared lineage designations or to view expression gene vs gene, with all plots available for download by the user.
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Affiliation(s)
- Jarny Choi
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Centre for Stem Cell Systems, Anatomy and Neuroscience Department, The University of Melbourne, Parkville, Victoria, Australia
| | - Tracey M Baldwin
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Mae Wong
- CSL Limited, Parkville, Victoria, Australia
| | - Jessica E Bolden
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Kirsten A Fairfax
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Erin C Lucas
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Rebecca Cole
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Christine Biben
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Clare Morgan
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Kerry A Ramsay
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Ashley P Ng
- Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia.,Cancer and Haematology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Maria Kauppi
- Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia.,Cancer and Haematology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Lynn M Corcoran
- Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia.,Molecular Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Wei Shi
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia
| | | | | | - Warren S Alexander
- Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia.,Cancer and Haematology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Douglas J Hilton
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Carolyn A de Graaf
- Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
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45
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Remethylation of Dnmt3a -/- hematopoietic cells is associated with partial correction of gene dysregulation and reduced myeloid skewing. Proc Natl Acad Sci U S A 2020; 117:3123-3134. [PMID: 31996479 PMCID: PMC7022185 DOI: 10.1073/pnas.1918611117] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Mutations that reduce the function of the de novo DNA methyltransferase, DNMT3A, are very common in patients with clonal hematopoiesis and hematopoietic malignancies. Restoring the function of DNMT3A in mouse hematopoietic cells deficient for this protein corrects the DNA methylation defect in an ordered fashion, and partially restores abnormalities in gene expression and myeloid population skewing. These data may be relevant for therapeutic strategies designed to restore DNMT3A activity in patients with diseases caused by mutations in this gene. Mutations in the DNA methyltransferase 3A (DNMT3A) gene are the most common cause of age-related clonal hematopoiesis (ARCH) in older individuals, and are among the most common initiating events for acute myeloid leukemia (AML). The most frequent DNMT3A mutation in AML patients (R882H) encodes a dominant-negative protein that reduces methyltransferase activity by ∼80% in cells with heterozygous mutations, causing a focal, canonical DNA hypomethylation phenotype; this phenotype is partially recapitulated in murine Dnmt3a−/− bone marrow cells. To determine whether the hypomethylation phenotype of Dnmt3a−/− hematopoietic cells is reversible, we developed an inducible transgene to restore expression of DNMT3A in transplanted bone marrow cells from Dnmt3a−/− mice. Partial remethylation was detected within 1 wk, but near-complete remethylation required 6 mo. Remethylation was accurate, dynamic, and highly ordered, suggesting that differentially methylated regions have unique properties that may be relevant for their functions. Importantly, 22 wk of DNMT3A addback partially corrected dysregulated gene expression, and mitigated the expansion of myeloid cells. These data show that restoring DNMT3A expression can alter the epigenetic “state” created by loss of Dnmt3a activity; this genetic proof-of-concept experiment suggests that this approach could be relevant for patients with ARCH or AML caused by loss-of-function DNMT3A mutations.
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46
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Zhou Y, Zhu X, Dai Y, Xiong S, Wei C, Yu P, Tang Y, Wu L, Li J, Liu D, Wang Y, Chen Z, Chen S, Huang J, Cheng L. Chemical Cocktail Induces Hematopoietic Reprogramming and Expands Hematopoietic Stem/Progenitor Cells. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:1901785. [PMID: 31921559 PMCID: PMC6947705 DOI: 10.1002/advs.201901785] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 10/20/2019] [Indexed: 05/03/2023]
Abstract
Generation of hematopoietic stem/progenitor cells (HSPCs) via cell expansion or cell reprogramming has been widely achieved by overexpression of transcription factors. Herein, it is reported that without introducing exogenous genes, mouse fibroblasts can be reprogrammed into hemogenic cells based on lineage tracing analysis, which further develop into hematopoietic cells, by treatment of cocktails of chemical compounds. The chemical cocktails also reprogram differentiated hematopoietic cells back into HSPC-like cells. Most importantly, the chemical cocktails enabling hematopoietic reprogramming robustly promote HSPC proliferation ex vivo. The expanded HSPCs acquire enhanced capacity of hematopoietic reconstruction in vivo. Single-cell sequencing analysis verifies the expansion of HSPCs and the cell reprogramming toward potential generation of HSPCs at the same time by the chemical cocktail treatment. Thus, the proof-of-concept findings not only demonstrate that hematopoietic reprogramming can be achieved by chemical compounds but also provide a promising strategy for acquisition of HSPCs by chemical cocktail-enabled double effects.
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Affiliation(s)
- Yi Zhou
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Xingli Zhu
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Yuting Dai
- School of Life Sciences and BiotechnologyShanghai Jiao Tong University200025ShanghaiChina
| | - Shumin Xiong
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Chuijin Wei
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Pei Yu
- Department of OrthopaedicsRui Jin Hospital affiliated to Shanghai Jiao Tong University School of MedicineShanghai200025China
| | - Yuewen Tang
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Liang Wu
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Jianfeng Li
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Dan Liu
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Yanlin Wang
- Prenatal Diagnosis CenterInternational Peace Maternity and Child Health Hospital affiliated to Shanghai Jiao Tong University School of MedicineShanghai200030China
| | - Zhu Chen
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Sai‐Juan Chen
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
| | - Jinyan Huang
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
- Pôle de Recherches Sino‐Français en Science du Vivant et GénomiqueLaboratory of Molecular PathologyRui‐Jin HospitalShanghai Jiao Tong University School of MedicineShanghai200025China
| | - Lin Cheng
- State Key Laboratory of Medical GenomicsShanghai Institute of HematologyRui Jin Hospital affiliated to Shanghai Jiao Tong UniversitySchool of MedicineKey Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems BiomedicineShanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai200025China
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47
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Abstract
Ptpn6 is a cytoplasmic phosphatase that functions to prevent autoimmune and interleukin-1 (IL-1) receptor-dependent, caspase-1-independent inflammatory disease. Conditional deletion of Ptpn6 in neutrophils (Ptpn6∆PMN) is sufficient to initiate IL-1 receptor-dependent cutaneous inflammatory disease, but the source of IL-1 and the mechanisms behind IL-1 release remain unclear. Here, we investigate the mechanisms controlling IL-1α/β release from neutrophils by inhibiting caspase-8-dependent apoptosis and Ripk1-Ripk3-Mlkl-regulated necroptosis. Loss of Ripk1 accelerated disease onset, whereas combined deletion of caspase-8 and either Ripk3 or Mlkl strongly protected Ptpn6∆PMN mice. Ptpn6∆PMN neutrophils displayed increased p38 mitogen-activated protein kinase-dependent Ripk1-independent IL-1 and tumor necrosis factor production, and were prone to cell death. Together, these data emphasize dual functions for Ptpn6 in the negative regulation of p38 mitogen-activated protein kinase activation to control tumor necrosis factor and IL-1α/β expression, and in maintaining Ripk1 function to prevent caspase-8- and Ripk3-Mlkl-dependent cell death and concomitant IL-1α/β release.
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48
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Brumbaugh J, Kim IS, Ji F, Huebner AJ, Di Stefano B, Schwarz BA, Charlton J, Coffey A, Choi J, Walsh RM, Schindler JW, Anselmo A, Meissner A, Sadreyev RI, Bernstein BE, Hock H, Hochedlinger K. Inducible histone K-to-M mutations are dynamic tools to probe the physiological role of site-specific histone methylation in vitro and in vivo. Nat Cell Biol 2019; 21:1449-1461. [PMID: 31659274 PMCID: PMC6858577 DOI: 10.1038/s41556-019-0403-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 09/12/2019] [Indexed: 12/24/2022]
Abstract
Development and differentiation are associated with profound changes to histone modifications, yet their in vivo function remains incompletely understood. Here, we generated mouse models expressing inducible histone H3 lysine-to-methionine (K-to-M) mutants, which globally inhibit methylation at specific sites. Mice expressing H3K36M developed severe anaemia with arrested erythropoiesis, a marked haematopoietic stem cell defect, and rapid lethality. By contrast, mice expressing H3K9M survived up to a year and showed expansion of multipotent progenitors, aberrant lymphopoiesis and thrombocytosis. Additionally, some H3K9M mice succumbed to aggressive T cell leukaemia/lymphoma, while H3K36M mice exhibited differentiation defects in testis and intestine. Mechanistically, induction of either mutant reduced corresponding histone trimethylation patterns genome-wide and altered chromatin accessibility as well as gene expression landscapes. Strikingly, discontinuation of transgene expression largely restored differentiation programmes. Our work shows that individual chromatin modifications are required at several specific stages of differentiation and introduces powerful tools to interrogate their roles in vivo.
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Affiliation(s)
- Justin Brumbaugh
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado-Boulder, Boulder, CO, USA
| | - Ik Soo Kim
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Fei Ji
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Aaron J Huebner
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Bruno Di Stefano
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Benjamin A Schwarz
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jocelyn Charlton
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Amy Coffey
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jiho Choi
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ryan M Walsh
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jeffrey W Schindler
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Anthony Anselmo
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Alexander Meissner
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ruslan I Sadreyev
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Bradley E Bernstein
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hanno Hock
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Konrad Hochedlinger
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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49
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Brinkmann K, Ng AP, de Graaf CA, Di Rago L, Hyland CD, Morelli E, Rautela J, Huntington ND, Strasser A, Alexander WS, Herold MJ. miR17~92 restrains pro-apoptotic BIM to ensure survival of haematopoietic stem and progenitor cells. Cell Death Differ 2019; 27:1475-1488. [PMID: 31591473 DOI: 10.1038/s41418-019-0430-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/22/2019] [Accepted: 09/23/2019] [Indexed: 01/07/2023] Open
Abstract
The miR17~92 cluster plays important roles in haematopoiesis. However, it is not clear at what stage of differentiation and through which targets miR17~92 exerts this function. Therefore, we generated miR17~92fl/fl; RosaCreERT2 mice for inducible deletion of miR17~92 in haematopoietic cells. Bone marrow reconstitution experiments revealed that miR17~92-deleted cells were not capable to contribute to mature haematopoietic lineages, which was due to defects in haematopoietic stem/progenitor cells (HSPCs). To identify the critical factor targeted by miR17~92 we performed gene expression analysis in HSPCs, demonstrating that mRNA levels of pro-apoptotic Bim inversely correlated with the expression of the miR17~92 cluster. Strikingly, loss of pro-apoptotic BIM completely prevented the loss of HSPCs caused by deletion of miR17~92. The BIM/miR17~92 interaction is conserved in human CD34+ HSPCs, as miR17~92 inhibition or blockade of its binding to the BIM 3'UTR reduced the survival and growth of these cells. Despite the prediction that miR17~92 functions by impacting a plethora of different targets, the absence of BIM alone is sufficient to prevent all defects caused by deletion of miR17~92 in haematopoietic cells.
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Affiliation(s)
- Kerstin Brinkmann
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Ashley P Ng
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Carolyn A de Graaf
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Ladina Di Rago
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia
| | - Craig D Hyland
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia
| | - Eugenio Morelli
- Jerome Lipper Multiple Myeloma Centre, Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Jai Rautela
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia.,Biomedicine Discovery Institute, Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia
| | - Nicholas D Huntington
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia.,Biomedicine Discovery Institute, Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia
| | - Andreas Strasser
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Warren S Alexander
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Marco J Herold
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia. .,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia.
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50
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Fan X, Wu C, Truitt LL, Espinoza DA, Sellers S, Bonifacino A, Zhou Y, Cordes SF, Krouse A, Metzger M, Donahue RE, Lu R, Dunbar CE. Clonal tracking of erythropoiesis in rhesus macaques. Haematologica 2019; 105:1813-1824. [PMID: 31582555 PMCID: PMC7327626 DOI: 10.3324/haematol.2019.231811] [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: 07/08/2019] [Accepted: 10/03/2019] [Indexed: 12/25/2022] Open
Abstract
The classical model of hematopoietic hierarchies is being reconsidered on the basis of data from in vitro assays and single cell expression profiling. Recent experiments suggested that the erythroid lineage might differentiate directly from multipotent hematopoietic stem cells / progenitors or from a highly biased subpopulation of stem cells, rather than transiting through common myeloid progenitors or megakaryocyte-erythrocyte progenitors. We genetically barcoded autologous rhesus macaque stem and progenitor cells, allowing quantitative tracking of the in vivo clonal output of thousands of individual cells over time following transplantation. CD34+ cells were lentiviral-transduced with a high diversity barcode library, with the barcode in an expressed region of the provirus, allowing barcode retrieval from DNA or RNA, with each barcode representing an individual stem or progenitor cell clone. Barcode profiles from bone marrow CD45-CD71+ maturing nucleated red blood cells were compared with other lineages purified from the same bone marrow sample. There was very high correlation of barcode contributions between marrow nucleated red blood cells and other lineages, with the highest correlation between nucleated red blood cells and myeloid lineages, whether at earlier or later time points post transplantation, without obvious clonal contributions from highly erythroid-biased or restricted clones. A similar profile occurred even under stressors such as aging or erythropoietin stimulation. RNA barcode analysis on circulating mature red blood cells followed over long time periods demonstrated stable erythroid clonal contributions. Overall, in this nonhuman primate model with great relevance to human hematopoiesis, we documented continuous production of erythroid cells from multipotent, non-biased hematopoietic stem cell clones at steady-state or under stress.
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Affiliation(s)
- Xing Fan
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Chuanfeng Wu
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Lauren L Truitt
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Diego A Espinoza
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Stephanie Sellers
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Aylin Bonifacino
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Yifan Zhou
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA.,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Stefan F Cordes
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Allen Krouse
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Mark Metzger
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Robert E Donahue
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
| | - Rong Lu
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - Cynthia E Dunbar
- Translational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MA, USA
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