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Feely C, Kaushal N, D’Avino PP, Martin J. Modifying platelets at their birth: anti-thrombotic therapy without haemorrhage. Front Pharmacol 2024; 15:1343896. [PMID: 38562457 PMCID: PMC10982340 DOI: 10.3389/fphar.2024.1343896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/27/2024] [Indexed: 04/04/2024] Open
Abstract
Cardiovascular disease is a leading cause of death. The current approach to the prevention of arterial thrombosis in cardiovascular disease is dependent on the use of therapies which inhibit the activation of platelets. Predictably these are associated with an increased risk of haemorrhage which causes significant morbidity. The thrombotic potential of an activated platelet is modifiable; being determined before thrombopoiesis. Increased megakaryocyte ploidy is associated with larger and more active platelets carrying an increased risk of thrombosis. The reduction in the ploidy of megakaryocytes is therefore a novel area of therapeutic interest for reducing thrombosis. We propose a new therapeutic approach for the prevention and treatment of thrombosis by targeting the reduction in ploidy of megakaryocytes. We examine the role of a receptor mediated event causing megakaryocytes to increase ploidy, the potential for targeting the molecular mechanisms underpinning megakaryocyte endomitosis and the existence of two separate regulatory pathways to maintain haemostasis by altering the thrombotic potential of platelets as targets for novel therapeutic approaches producing haemostatically competent platelets which are not prothrombotic.
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Affiliation(s)
- Conor Feely
- Centre for Clinical Pharmacology, Institute of Health Informatics, University College London, London, United Kingdom
| | - Nitika Kaushal
- Centre for Clinical Pharmacology, Institute of Health Informatics, University College London, London, United Kingdom
| | - Pier Paolo D’Avino
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - John Martin
- Centre for Clinical Pharmacology, Institute of Health Informatics, University College London, London, United Kingdom
- Division of Medicine, University College London, London, United Kingdom
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2
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Shin E, Park C, Park T, Chung H, Hwang H, Bak SH, Chung KS, Yoon SR, Kim TD, Choi I, Lee CH, Jung H, Noh JY. Deficiency of thioredoxin-interacting protein results in age-related thrombocytopenia due to megakaryocyte oxidative stress. J Thromb Haemost 2024; 22:834-850. [PMID: 38072375 DOI: 10.1016/j.jtha.2023.11.020] [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: 03/14/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Platelets are generated from megakaryocytes (MKs), mainly located in the bone marrow (BM). Megakaryopoiesis can be affected by genetic disorders, metabolic diseases, and aging. The molecular mechanisms underlying platelet count regulation have not been fully elucidated. OBJECTIVES In the present study, we investigated the role of thioredoxin-interacting protein (TXNIP), a protein that regulates cellular metabolism in megakaryopoiesis, using a Txnip-/- mouse model. METHODS Wild-type (WT) and Txnip-/- mice (2-27-month-old) were studied. BM-derived MKs were analyzed to investigate the role of TXNIP in megakaryopoiesis with age. The global transcriptome of BM-derived CD41+ megakaryocyte precursors (MkPs) of WT and Txnip-/- mice were compared. The CD34+ hematopoietic stem cells isolated from human cord blood were differentiated into MKs. RESULTS Txnip-/- mice developed thrombocytopenia at 4 to 5 months that worsened with age. During ex vivo megakaryopoiesis, Txnip-/- MkPs remained small, with decreased levels of MK-specific markers. Critically, Txnip-/- MkPs exhibited reduced mitochondrial reactive oxygen species, which was related to AKT activity. Txnip-/- MkPs also showed elevated glycolysis alongside increased glucose uptake for ATP production. Total RNA sequencing revealed enrichment for oxidative stress- and apoptosis-related genes in differentially expressed genes between Txnip-/- and WT MkPs. The effects of TXNIP on MKs were recapitulated during the differentiation of human cord blood-derived CD34+ hematopoietic stem cells. CONCLUSION We provide evidence that the megakaryopoiesis pathway becomes exhausted with age in Txnip-/- mice with a decrease in terminal, mature MKs that response to thrombocytopenic challenge. Overall, this study demonstrates the role of TXNIP in megakaryopoiesis, regulating mitochondrial metabolism.
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Affiliation(s)
- Eunju Shin
- Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea; College of Pharmacy, Chungnam National University, Yuseong-gu, Daejeon, Korea
| | - Charny Park
- Bioinformatics Team, Research Institute, National Cancer Center, Ilsandong-gu, Gyeonggi-do, Korea
| | - Taeho Park
- Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea; Department of Functional Genomics, Korea University of Science and Technology, Yuseong-gu, Daejeon, Korea
| | - Hyunmin Chung
- College of Pharmacy, Chungnam National University, Yuseong-gu, Daejeon, Korea; Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea
| | - Hyeyeong Hwang
- Bioinformatics Team, Research Institute, National Cancer Center, Ilsandong-gu, Gyeonggi-do, Korea
| | - Seong Ho Bak
- Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea; Department of Functional Genomics, Korea University of Science and Technology, Yuseong-gu, Daejeon, Korea
| | - Kyung-Sook Chung
- Department of Functional Genomics, Korea University of Science and Technology, Yuseong-gu, Daejeon, Korea; Stem Cell Convergence Research Center and Biomedical Translational Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea
| | - Suk Ran Yoon
- Department of Functional Genomics, Korea University of Science and Technology, Yuseong-gu, Daejeon, Korea; Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea
| | - Tae-Don Kim
- Department of Functional Genomics, Korea University of Science and Technology, Yuseong-gu, Daejeon, Korea; Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea
| | - Inpyo Choi
- Immunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea
| | - Chang Hoon Lee
- R&D Center, SCBIO Co, Ltd, Munji-ro, Yuseong-gu, Daejeon, Korea; Therapeutics and Biotechnology Division, Drug Discovery Platform Research Center, Korea Research Institute of Chemical Technology, Yuseong-gu, Daejeon, Korea
| | - Haiyoung Jung
- Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea; Department of Functional Genomics, Korea University of Science and Technology, Yuseong-gu, Daejeon, Korea
| | - Ji-Yoon Noh
- Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Yuseong-gu, Daejeon, Korea; Department of Functional Genomics, Korea University of Science and Technology, Yuseong-gu, Daejeon, Korea.
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3
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Darmasaputra GS, van Rijnberk LM, Galli M. Functional consequences of somatic polyploidy in development. Development 2024; 151:dev202392. [PMID: 38415794 PMCID: PMC10946441 DOI: 10.1242/dev.202392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Polyploid cells contain multiple genome copies and arise in many animal tissues as a regulated part of development. However, polyploid cells can also arise due to cell division failure, DNA damage or tissue damage. Although polyploidization is crucial for the integrity and function of many tissues, the cellular and tissue-wide consequences of polyploidy can be very diverse. Nonetheless, many polyploid cell types and tissues share a remarkable similarity in function, providing important information about the possible contribution of polyploidy to cell and tissue function. Here, we review studies on polyploid cells in development, underlining parallel functions between different polyploid cell types, as well as differences between developmentally-programmed and stress-induced polyploidy.
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Affiliation(s)
- Gabriella S. Darmasaputra
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, the Netherlands
| | - Lotte M. van Rijnberk
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, the Netherlands
| | - Matilde Galli
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, the Netherlands
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4
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Guo K, Machlus KR, Camacho V. The many faces of the megakaryocytes and their biological implications. Curr Opin Hematol 2024; 31:1-5. [PMID: 37910197 PMCID: PMC10842450 DOI: 10.1097/moh.0000000000000793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
PURPOSE OF REVIEW Single-cell RNA sequencing studies have revealed transcriptional heterogeneity within the megakaryocytic lineage and the identified unique subsets. In this review, we discuss the functional and phenotypic plasticity of these subpopulations as well as the impacts on health and disease. RECENT FINDINGS Megakaryocytes (MKs) can be transcriptionally categorized into platelet generating, niche supporting, immune, and cycling cells, which are distinguished by their unique gene expression patterns and cellular markers. Additionally, a significant population of these cells has been established to reside in the nonhematopoietic tissues and they display enhanced immune-related characteristics. Combined with the location in which the megakaryocytes exist, these cells can play unique roles dictated by their current environment and biological needs, including responding to changes in pathogen exposure. SUMMARY Advances in megakaryocyte research has elucidated the existence of multiple subpopulations of MKs that serve different functions. These subpopulations implicate a greater potential for MKs to be regulators of health and suggest new avenues for treatments and therapies in related diseases.
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Affiliation(s)
- Karen Guo
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kellie R. Machlus
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Virginia Camacho
- Vascular Biology Program, Boston Children’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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5
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Martin JF, D'Avino PP. A theory of rapid evolutionary change explaining the de novo appearance of megakaryocytes and platelets in mammals. J Cell Sci 2022; 135:285954. [PMID: 36515566 PMCID: PMC10112974 DOI: 10.1242/jcs.260286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Platelets are found only in mammals. Uniquely, they have a log Gaussian volume distribution and are produced from megakaryocytes, large cells that have polyploid nuclei. In this Hypothesis, we propose that a possible explanation for the origin of megakaryocytes and platelets is that, ∼220 million years ago, an inheritable change occurred in a mammalian ancestor that caused the haemostatic cell line of the animal to become polyploid. This inheritable change occurred specifically in the genetic programme of the cell lineage from which the haemostatic cell originated and led, because of increase in cell size, to its fragmentation into cytoplasmic particles (platelets) in the pulmonary circulatory system, as found in modern mammals. We hypothesize that these fragments originating from the new large haemostatic polyploid cells proved to be more efficient at stopping bleeding, and, therefore, the progeny of this ancestor prospered through natural selection. We also propose experimental strategies that could provide evidence to support this hypothesis.
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Affiliation(s)
- John F Martin
- Division of Medicine, University College London, 5 University Street, London WC1E 6JF, UK
| | - Paolo Pier D'Avino
- Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QP, UK
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6
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Zhang W, Yan C, Liu X, Yang P, Wang J, Chen Y, Liu W, Li S, Zhang X, Dong G, He X, Yuan X, Jing H. Global characterization of megakaryocytes in bone marrow, peripheral blood, and cord blood by single-cell RNA sequencing. Cancer Gene Ther 2022; 29:1636-1647. [PMID: 35650393 DOI: 10.1038/s41417-022-00476-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 03/03/2022] [Accepted: 04/21/2022] [Indexed: 02/04/2023]
Abstract
Megakaryocytes (MK) are mainly derived from bone marrow and are mainly involved in platelet production. Studies have shown that MK derived from bone marrow may have immune function, and that MK from peripheral blood are associated with prostate cancer. Single-cell transcriptome sequencing can help us better understand the heterogeneity and potential function of MK cell populations in bone marrow (BM), peripheral Blood (PB), and cord blood (CB) of healthy and diseased people.We integrated more than 1.2 million single-cell transcriptome data from 132 samples of PB, BM, and CB from healthy individuals and patients from different dataset. We examined the MK (including MK and product of MK) by single-cell RNA sequencing data analysis methods and identification of MK-related protein expression by the Human Protein atlas. We investigate the relationship between the MK subtype and Non-Small Cell Lung Cancer (NSCLC) in 77 non-cancer and 402 NSCLC. We found that MK were widely distributed and the amount of MK in peripheral blood was more than that in bone marrow and there were specificity MK subtypes in peripheral blood. We found classical MK1 with typical MK characteristics and non-classical MK2 closely related to immunity which was the most common subtype in bone marrow and cord blood. Classical MK1 was closely related to Non-Small Cell Lung Cancer (NSCLC) and can be used as a diagnostic marker. MK2 may have potential adaptive immune function and play a role in tumor NSCLC and autoimmune diseases Systemic Lupus Erythematosus. MK have 14 subtypes and are widely distributed in PB, CB, and BM. MK subtypes are closely related to immunity and have potential to be a diagnostic indicator of NSCLC.
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Affiliation(s)
- Weilong Zhang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China
| | - Changjian Yan
- The Second Affiliated Hospital of Fujian Medical University, 362000, Quanzhou, China
| | - Xiaoni Liu
- Department of Respiratory Medicine, The First Affiliated Hospital of Gannan Medical University, 341000, Ganzhou, China
| | - Ping Yang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China
| | - Jing Wang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China
| | - Yingtong Chen
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China
| | - Weiyou Liu
- Department of Respiratory Medicine, The First Affiliated Hospital of Gannan Medical University, 341000, Ganzhou, China
| | - Shaoxiang Li
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, 100070, Beijing, China
| | - Xiuru Zhang
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, 100070, Beijing, China
| | - Gehong Dong
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, 100070, Beijing, China
| | - Xue He
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, 100070, Beijing, China.
| | - Xiaoliang Yuan
- Department of Respiratory Medicine, The First Affiliated Hospital of Gannan Medical University, 341000, Ganzhou, China.
| | - Hongmei Jing
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China.
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7
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De Wispelaere K, Freson K. The Analysis of the Human Megakaryocyte and Platelet Coding Transcriptome in Healthy and Diseased Subjects. Int J Mol Sci 2022; 23:ijms23147647. [PMID: 35886993 PMCID: PMC9317744 DOI: 10.3390/ijms23147647] [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: 05/31/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 12/10/2022] Open
Abstract
Platelets are generated and released into the bloodstream from their precursor cells, megakaryocytes that reside in the bone marrow. Though platelets have no nucleus or DNA, they contain a full transcriptome that, during platelet formation, is transported from the megakaryocyte to the platelet. It has been described that transcripts in platelets can be translated into proteins that influence platelet response. The platelet transcriptome is highly dynamic and has been extensively studied using microarrays and, more recently, RNA sequencing (RNA-seq) in relation to diverse conditions (inflammation, obesity, cancer, pathogens and others). In this review, we focus on bulk and single-cell RNA-seq studies that have aimed to characterize the coding transcriptome of healthy megakaryocytes and platelets in humans. It has been noted that bulk RNA-seq has limitations when studying in vitro-generated megakaryocyte cultures that are highly heterogeneous, while single-cell RNA-seq has not yet been applied to platelets due to their very limited RNA content. Next, we illustrate how these methods can be applied in the field of inherited platelet disorders for gene discovery and for unraveling novel disease mechanisms using RNA from platelets and megakaryocytes and rare disease bioinformatics. Next, future perspectives are discussed on how this field of coding transcriptomics can be integrated with other next-generation technologies to decipher unexplained inherited platelet disorders in a multiomics approach.
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8
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Infection of lung megakaryocytes and platelets by SARS-CoV-2 anticipate fatal COVID-19. Cell Mol Life Sci 2022; 79:365. [PMID: 35708858 PMCID: PMC9201269 DOI: 10.1007/s00018-022-04318-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 04/01/2022] [Accepted: 04/19/2022] [Indexed: 12/11/2022]
Abstract
SARS-CoV-2, although not being a circulatory virus, spread from the respiratory tract resulting in multiorgan failures and thrombotic complications, the hallmarks of fatal COVID-19. A convergent contributor could be platelets that beyond hemostatic functions can carry infectious viruses. Here, we profiled 52 patients with severe COVID-19 and demonstrated that circulating platelets of 19 out 20 non-survivor patients contain SARS-CoV-2 in robust correlation with fatal outcome. Platelets containing SARS-CoV-2 might originate from bone marrow and lung megakaryocytes (MKs), the platelet precursors, which were found infected by SARS-CoV-2 in COVID-19 autopsies. Accordingly, MKs undergoing shortened differentiation and expressing anti-viral IFITM1 and IFITM3 RNA as a sign of viral sensing were enriched in the circulation of deadly COVID-19. Infected MKs reach the lung concomitant with a specific MK-related cytokine storm rich in VEGF, PDGF and inflammatory molecules, anticipating fatal outcome. Lung macrophages capture SARS-CoV-2-containing platelets in vivo. The virus contained by platelets is infectious as capture of platelets carrying SARS-CoV-2 propagates infection to macrophages in vitro, in a process blocked by an anti-GPIIbIIIa drug. Altogether, platelets containing infectious SARS-CoV-2 alter COVID-19 pathogenesis and provide a powerful fatality marker. Clinical targeting of platelets might prevent viral spread, thrombus formation and exacerbated inflammation at once and increase survival in COVID-19.
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Lacey J, Webster SJ, Heath PR, Hill CJ, Nicholson-Goult L, Wagner BE, Khan AO, Morgan NV, Makris M, Daly ME. Sorting nexin 24 is required for α-granule biogenesis and cargo delivery in megakaryocytes. Haematologica 2022; 107:1902-1913. [PMID: 35021601 PMCID: PMC9335091 DOI: 10.3324/haematol.2021.279636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Indexed: 01/06/2023] Open
Abstract
Germline defects affecting the DNA-binding domain of the transcription factor FLI1 are associated with a bleeding disorder that is characterized by the presence of large, fused α-granules in platelets. We investigated whether the genes showing abnormal expression in FLI1-deficient platelets could be involved in platelet α-granule biogenesis by undertaking transcriptome analysis of control platelets and platelets harboring a DNA-binding variant of FLI1. Our analysis identified 2,276 transcripts that were differentially expressed in FLI1-deficient platelets. Functional annotation clustering of the coding transcripts revealed significant enrichment for gene annotations relating to protein transport, and identified Sorting nexin 24 (SNX24) as a candidate for further investigation. Using an induced pluripotent stem cell-derived megakaryocyte model, SNX24 expression was found to be increased during the early stages of megakaryocyte differentiation and downregulated during proplatelet formation, indicating tight regulatory control during megakaryopoiesis. CRISPR-Cas9 mediated knockout (KO) of SNX24 led to decreased expression of immature megakaryocyte markers, CD41 and CD61, and increased expression of the mature megakaryocyte marker CD42b (P=0.0001), without affecting megakaryocyte polyploidisation, or proplatelet formation. Electron microscopic analysis revealed an increase in empty membrane-bound organelles in SNX24 KO megakaryocytes, a reduction in α-granules and an absence of immature and mature multivesicular bodies, consistent with a defect in the intermediate stage of α-granule maturation. Co-localization studies showed that SNX24 associates with each compartment of α-granule maturation. Reduced expression of CD62P and VWF was observed in SNX24 KO megakaryocytes. We conclude that SNX24 is required for α-granule biogenesis and intracellular trafficking of α-granule cargo within megakaryocytes.
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Affiliation(s)
- Joanne Lacey
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield
| | - Simon J. Webster
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield
| | - Paul R. Heath
- Sheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, University of Sheffield, Sheffield
| | - Chris J. Hill
- Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield
| | | | - Bart E. Wagner
- Histopathology Department, Royal Hallamshire Hospital, Sheffield
| | - Abdullah O. Khan
- Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Neil V. Morgan
- Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Michael Makris
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield
| | - Martina E. Daly
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield,Martina E. Daly
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10
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Joshi A, Schmidt LE, Burnap SA, Lu R, Chan MV, Armstrong PC, Baig F, Gutmann C, Willeit P, Santer P, Barwari T, Theofilatos K, Kiechl S, Willeit J, Warner TD, Mathur A, Mayr M. Neutrophil-Derived Protein S100A8/A9 Alters the Platelet Proteome in Acute Myocardial Infarction and Is Associated With Changes in Platelet Reactivity. Arterioscler Thromb Vasc Biol 2021; 42:49-62. [PMID: 34809447 PMCID: PMC8691374 DOI: 10.1161/atvbaha.121.317113] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Supplemental Digital Content is available in the text. Objective: Platelets are central to acute myocardial infarction (MI). How the platelet proteome is altered during MI is unknown. We sought to describe changes in the platelet proteome during MI and identify corresponding functional consequences. Approach and Results: Platelets from patients experiencing ST-segment–elevation MI (STEMI) before and 3 days after treatment (n=30) and matched patients with severe stable coronary artery disease before and 3 days after coronary artery bypass grafting (n=25) underwent quantitative proteomic analysis. Elevations in the proteins S100A8 and S100A9 were detected at the time of STEMI compared with stable coronary artery disease (S100A8: FC, 2.00; false discovery rate, 0.05; S100A9: FC, 2.28; false discovery rate, 0.005). During STEMI, only S100A8 mRNA and protein levels were correlated in platelets (R=0.46, P=0.012). To determine whether de novo protein synthesis occurs, activated platelets were incubated with 13C-labeled amino acids for 24 hours and analyzed by mass spectrometry. No incorporation was confidently detected. Platelet S100A8 and S100A9 was strongly correlated with neutrophil abundance at the time of STEMI. When isolated platelets and neutrophils were coincubated under quiescent and activated conditions, release of S100A8 from neutrophils resulted in uptake of S100A8 by platelets. Neutrophils released S100A8/A9 as free heterodimer, rather than in vesicles or extracellular traps. In the community-based Bruneck study (n=338), plasma S100A8/A9 was inversely associated with platelet reactivity—an effect abrogated by aspirin. Conclusions: Leukocyte-to-platelet protein transfer may occur in a thromboinflammatory environment such as STEMI. Plasma S100A8/A9 was negatively associated with platelet reactivity. These findings highlight neutrophils as potential modifiers for thrombotic therapies in coronary artery disease.
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Affiliation(s)
- Abhishek Joshi
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.).,Department of Cardiology, Barts Heart Centre, St. Bartholomew's Hospital, London, United Kingdom (A.J., A.M.)
| | - Lukas E Schmidt
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.)
| | - Sean A Burnap
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.)
| | - Ruifang Lu
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.)
| | - Melissa V Chan
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (M.V.C., P.C.A., T.D.W.)
| | - Paul C Armstrong
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (M.V.C., P.C.A., T.D.W.)
| | - Ferheen Baig
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.)
| | - Clemens Gutmann
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.)
| | - Peter Willeit
- Department of Neurology, Medical University of Innsbruck, Austria (P.W., S.K., J.W.)
| | - Peter Santer
- Department of Laboratory Medicine, Bruneck Hospital, Italy (P.S.)
| | - Temo Barwari
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.)
| | - Konstantinos Theofilatos
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.)
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Austria (P.W., S.K., J.W.).,Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria (S.K., J.W.)
| | - Johann Willeit
- Department of Neurology, Medical University of Innsbruck, Austria (P.W., S.K., J.W.).,Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria (S.K., J.W.)
| | - Timothy D Warner
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (M.V.C., P.C.A., T.D.W.)
| | - Anthony Mathur
- Department of Cardiology, Barts Heart Centre, St. Bartholomew's Hospital, London, United Kingdom (A.J., A.M.)
| | - Manuel Mayr
- King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, United Kingdom (A.J., L.E.S., S.A.B., R.L., F.B., C.G., T.B., K.T., M.M.).,Centre for Cardiovascular Medicine and Devices, Queen Mary's University, London, United Kingdom (A.M.)
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Leimkühler NB, Costa IG, Schneider RK. From cell to cell: Identification of actionable targets in bone marrow fibrosis using single-cell technologies. Exp Hematol 2021; 104:48-54. [PMID: 34601067 DOI: 10.1016/j.exphem.2021.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 09/21/2021] [Accepted: 09/23/2021] [Indexed: 11/25/2022]
Abstract
Single-cell technologies have rapidly developed in recent years and have already had a significant impact on the research of myeloproliferative neoplasms. The increasing number of publicly available data sets allows characterization of the bone marrow niche in patients and mouse models at unprecedented resolution. Single-cell RNA sequencing has successfully been used to identify and characterize disease-driving cell populations and to identify the alarmin S100A8/A9 as an important mediator of myelofibrosis and potent therapeutic target. It is now possible to execute a streamlined set of experiments to specifically identify and validate actionable target genes functionally with the advance of reliable in vivo models and the possibility of conducting single-cell analyses with a minimal amount of patient material. The advent of large-scale analyses of both hematopoietic and non-hematopoietic bone marrow cells will allow comprehensive network analyses guiding an increasingly detailed mapping of the MPN interactome.
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Affiliation(s)
- Nils B Leimkühler
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
| | - Ivan G Costa
- Institute for Computational Genomics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Rebekka K Schneider
- Department of Cell Biology, Institute for Biomedical Engineering, Faculty of Medicine, RWTH Aachen University, Aachen, Germany; Oncode Institute, Erasmus Medical Center, Rotterdam, The Netherlands.
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12
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Codd V, Wang Q, Allara E, Musicha C, Kaptoge S, Stoma S, Jiang T, Hamby SE, Braund PS, Bountziouka V, Budgeon CA, Denniff M, Swinfield C, Papakonstantinou M, Sheth S, Nanus DE, Warner SC, Wang M, Khera AV, Eales J, Ouwehand WH, Thompson JR, Di Angelantonio E, Wood AM, Butterworth AS, Danesh JN, Nelson CP, Samani NJ. Polygenic basis and biomedical consequences of telomere length variation. Nat Genet 2021; 53:1425-1433. [PMID: 34611362 PMCID: PMC8492471 DOI: 10.1038/s41588-021-00944-6] [Citation(s) in RCA: 164] [Impact Index Per Article: 54.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 08/18/2021] [Indexed: 02/08/2023]
Abstract
Telomeres, the end fragments of chromosomes, play key roles in cellular proliferation and senescence. Here we characterize the genetic architecture of naturally occurring variation in leukocyte telomere length (LTL) and identify causal links between LTL and biomedical phenotypes in 472,174 well-characterized UK Biobank participants. We identified 197 independent sentinel variants associated with LTL at 138 genomic loci (108 new). Genetically determined differences in LTL were associated with multiple biological traits, ranging from height to bone marrow function, as well as several diseases spanning neoplastic, vascular and inflammatory pathologies. Finally, we estimated that, at the age of 40 years, people with an LTL >1 s.d. shorter than the population mean had a 2.5-year-lower life expectancy compared with the group with ≥1 s.d. longer LDL. Overall, we furnish new insights into the genetic regulation of LTL, reveal wide-ranging influences of LTL on physiological traits, diseases and longevity, and provide a powerful resource available to the global research community.
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Affiliation(s)
- Veryan Codd
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Qingning Wang
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Elias Allara
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
| | - Crispin Musicha
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Stephen Kaptoge
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Svetlana Stoma
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Tao Jiang
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Stephen E. Hamby
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Peter S. Braund
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Vasiliki Bountziouka
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Charley A. Budgeon
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK ,grid.1012.20000 0004 1936 7910School of Population and Global Health, University of Western Australia, Perth, Western Australia Australia
| | - Matthew Denniff
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Chloe Swinfield
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Manolo Papakonstantinou
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Shilpi Sheth
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Dominika E. Nanus
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Sophie C. Warner
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Minxian Wang
- grid.66859.34Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA
| | - Amit V. Khera
- grid.66859.34Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Medicine, Harvard Medical School, Boston, MA USA ,grid.32224.350000 0004 0386 9924Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA USA
| | - James Eales
- grid.5379.80000000121662407Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - Willem H. Ouwehand
- grid.5335.00000000121885934British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934Department of Haematology, University of Cambridge, Cambridge, UK ,grid.436365.10000 0000 8685 6563NHS Blood and Transplant, Cambridge, UK ,grid.52996.310000 0000 8937 2257University College London Hospitals NHS Foundation Trust, London, UK
| | - John R. Thompson
- grid.9918.90000 0004 1936 8411Department of Health Sciences, University of Leicester, Leicester, UK
| | - Emanuele Di Angelantonio
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK ,grid.10306.340000 0004 0606 5382Health Data Research UK Cambridge, Wellcome Sanger Institute, EMBL-European Bioinformatics Institute and University of Cambridge, Cambridge, UK
| | - Angela M. Wood
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK ,grid.10306.340000 0004 0606 5382Health Data Research UK Cambridge, Wellcome Sanger Institute, EMBL-European Bioinformatics Institute and University of Cambridge, Cambridge, UK ,grid.499548.d0000 0004 5903 3632The Alan Turing Institute, London, UK
| | - Adam S. Butterworth
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK ,grid.10306.340000 0004 0606 5382Health Data Research UK Cambridge, Wellcome Sanger Institute, EMBL-European Bioinformatics Institute and University of Cambridge, Cambridge, UK
| | - John N. Danesh
- grid.5335.00000000121885934British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK ,grid.10306.340000 0004 0606 5382Health Data Research UK Cambridge, Wellcome Sanger Institute, EMBL-European Bioinformatics Institute and University of Cambridge, Cambridge, UK ,grid.10306.340000 0004 0606 5382Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Christopher P. Nelson
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Nilesh J. Samani
- grid.9918.90000 0004 1936 8411Department of Cardiovascular Sciences, University of Leicester, Leicester, UK ,grid.412925.90000 0004 0400 6581NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
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