1
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Yanai H, McNeely T, Ayyar S, Leone M, Zong L, Park B, Beerman I. DNA methylation drives hematopoietic stem cell aging phenotypes after proliferative stress. GeroScience 2024:10.1007/s11357-024-01360-4. [PMID: 39390312 DOI: 10.1007/s11357-024-01360-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 09/17/2024] [Indexed: 10/12/2024] Open
Abstract
Aging of hematopoietic stem cells (HSCs) is implicated in various aging phenotypes, including immune dysfunction, anemia, and malignancies. The role of HSC proliferation in driving these aging phenotypes, particularly under stress conditions, remains unclear. Therefore, we induced forced replications of HSCs in vivo by a cyclical treatment with low-dose fluorouracil (5FU) and examined the impact on HSC aging. Our findings show that proliferative stress induces several aging phenotypes, including altered leukocyte counts, decreased lymphoid progenitors, accumulation of HSCs with high expression of Slamf1, and reduced reconstitution potential, without affecting stem cell self-renewal capacity. The divisional history of HSCs was imprinted in the DNA methylome, consistent with functional decline. Specifically, DNA methylation changes included global hypermethylation in non-coding regions and similar frequencies of hypo- and hyper-methylation at promoter regions, particularly affecting genes targeted by the PRC2 complex. Importantly, initial forced replication promoted DNA damage repair accumulated with age, but continuous proliferative stress led to the accumulation of double-strand breaks, independent of functional decline. Overall, our results suggest that HSC proliferation can drive some aging phenotypes primarily through epigenetic mechanisms, including DNA methylation changes.
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Affiliation(s)
- Hagai Yanai
- Epigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute On Aging, NIH, 251 Bayview Blvd, Suite 100/10C220, Baltimore, MD, 21224, USA
| | - Taylor McNeely
- Epigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute On Aging, NIH, 251 Bayview Blvd, Suite 100/10C220, Baltimore, MD, 21224, USA
| | - Saipriya Ayyar
- Epigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute On Aging, NIH, 251 Bayview Blvd, Suite 100/10C220, Baltimore, MD, 21224, USA
| | - Michael Leone
- Epigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute On Aging, NIH, 251 Bayview Blvd, Suite 100/10C220, Baltimore, MD, 21224, USA
| | - Le Zong
- Epigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute On Aging, NIH, 251 Bayview Blvd, Suite 100/10C220, Baltimore, MD, 21224, USA
| | - Bongsoo Park
- Epigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute On Aging, NIH, 251 Bayview Blvd, Suite 100/10C220, Baltimore, MD, 21224, USA
| | - Isabel Beerman
- Epigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute On Aging, NIH, 251 Bayview Blvd, Suite 100/10C220, Baltimore, MD, 21224, USA.
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2
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Ren P, Zhang J, Vijg J. Somatic mutations in aging and disease. GeroScience 2024; 46:5171-5189. [PMID: 38488948 PMCID: PMC11336144 DOI: 10.1007/s11357-024-01113-3] [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: 10/11/2023] [Accepted: 02/27/2024] [Indexed: 03/17/2024] Open
Abstract
Time always leaves its mark, and our genome is no exception. Mutations in the genome of somatic cells were first hypothesized to be the cause of aging in the 1950s, shortly after the molecular structure of DNA had been described. Somatic mutation theories of aging are based on the fact that mutations in DNA as the ultimate template for all cellular functions are irreversible. However, it took until the 1990s to develop the methods to test if DNA mutations accumulate with age in different organs and tissues and estimate the severity of the problem. By now, numerous studies have documented the accumulation of somatic mutations with age in normal cells and tissues of mice, humans, and other animals, showing clock-like mutational signatures that provide information on the underlying causes of the mutations. In this review, we will first briefly discuss the recent advances in next-generation sequencing that now allow quantitative analysis of somatic mutations. Second, we will provide evidence that the mutation rate differs between cell types, with a focus on differences between germline and somatic mutation rate. Third, we will discuss somatic mutational signatures as measures of aging, environmental exposure, and activities of DNA repair processes. Fourth, we will explain the concept of clonally amplified somatic mutations, with a focus on clonal hematopoiesis. Fifth, we will briefly discuss somatic mutations in the transcriptome and in our other genome, i.e., the genome of mitochondria. We will end with a brief discussion of a possible causal contribution of somatic mutations to the aging process.
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Affiliation(s)
- Peijun Ren
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Jie Zhang
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jan Vijg
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
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3
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Kapadia CD, Williams N, Dawson KJ, Watson C, Yousefzadeh MJ, Le D, Nyamondo K, Cagan A, Waldvogel S, De La Fuente J, Leongamornlert D, Mitchell E, Florez MA, Aguilar R, Martell A, Guzman A, Harrison D, Niedernhofer LJ, King KY, Campbell PJ, Blundell J, Goodell MA, Nangalia J. Clonal dynamics and somatic evolution of haematopoiesis in mouse. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.17.613129. [PMID: 39345649 PMCID: PMC11429886 DOI: 10.1101/2024.09.17.613129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
Haematopoietic stem cells maintain blood production throughout life. While extensively characterised using the laboratory mouse, little is known about how the population is sustained and evolves with age. We isolated stem cells and progenitors from young and old mice, identifying 221,890 somatic mutations genome-wide in 1845 single cell-derived colonies, and used phylogenetic analysis to infer the ontogeny and population dynamics of the stem cell pool. Mouse stem cells and progenitors accrue ~45 somatic mutations per year, a rate only about 2-fold greater than human progenitors despite the vastly different organismal sizes and lifespans. Phylogenetic patterns reveal that stem and multipotent progenitor cell pools are both established during embryogenesis, after which they independently self-renew in parallel over life. The stem cell pool grows steadily over the mouse lifespan to approximately 70,000 cells, self-renewing about every six weeks. Aged mice did not display the profound loss of stem cell clonal diversity characteristic of human haematopoietic ageing. However, targeted sequencing revealed small, expanded clones in the context of murine ageing, which were larger and more numerous following haematological perturbations and exhibited a selection landscape similar to humans. Our data illustrate both conserved features of population dynamics of blood and distinct patterns of age-associated somatic evolution in the short-lived mouse.
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Affiliation(s)
- Chiraag D. Kapadia
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Kevin J. Dawson
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Caroline Watson
- Early Cancer Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Matthew J. Yousefzadeh
- Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
- Columbia Center for Translational Immunology, Columbia Center for Human Longevity, Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Duy Le
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
- Department of Pediatrics, Division of Infectious Diseases, Baylor College of Medicine, Houston, TX, USA
| | - Kudzai Nyamondo
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK
| | - Alex Cagan
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Departments of Genetics, Pathology & Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Sarah Waldvogel
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
| | - Josephine De La Fuente
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Emily Mitchell
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Marcus A. Florez
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
- Department of Pediatrics, Division of Infectious Diseases, Baylor College of Medicine, Houston, TX, USA
| | - Rogelio Aguilar
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
| | - Alejandra Martell
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
| | - Anna Guzman
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Laura J. Niedernhofer
- Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Katherine Y. King
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
- Department of Pediatrics, Division of Infectious Diseases, Baylor College of Medicine, Houston, TX, USA
| | | | - Jamie Blundell
- Early Cancer Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Margaret A. Goodell
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
| | - Jyoti Nangalia
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
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4
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Cull AH, Kent DG, Warren AJ. Emerging genetic technologies informing personalized medicine in Shwachman-Diamond syndrome and other inherited BMF disorders. Blood 2024; 144:931-939. [PMID: 38905596 DOI: 10.1182/blood.2023019986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 06/23/2024] Open
Abstract
ABSTRACT Ribosomopathy Shwachman-Diamond syndrome (SDS) is a rare autosomal recessive inherited bone marrow failure syndrome (IBMFS) caused by mutations in the Shwachman-Bodian-Diamond syndrome gene, which is associated with an increased risk of myeloid malignancy. Tracking how hematopoietic stem cell (HSC) clonal dynamics change over time, assessing whether somatic genetic rescue mechanisms affect these dynamics, and mapping out when leukemic driver mutations are acquired is important to understand which individuals with SDS may go on to develop leukemia. In this review, we discuss how new technologies that allow researchers to map mutations at the level of single HSC clones are generating important insights into genetic rescue mechanisms and their relative risk for driving evolution to leukemia, and how these data can inform the future development of personalized medicine approaches in SDS and other IBMFSs.
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Affiliation(s)
- Alyssa H Cull
- Department of Biology, Centre for Blood Research, York Biomedical Research Institute, University of York, York, United Kingdom
| | - David G Kent
- Department of Biology, Centre for Blood Research, York Biomedical Research Institute, University of York, York, United Kingdom
| | - Alan J Warren
- Cambridge Institute for Medical Research, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom
- Wellcome Trust-Medical Research Council Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom
- Department of Hematology, School of Clinical Medicine, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom
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5
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Kwon SG, Bae GH, Hong JH, Choi JW, Choi JH, Lim NS, Jeon C, Mali NM, Jun MS, Shin J, Kim J, Cho ES, Han MH, Oh JW. Comprehensive analysis of somatic mutations and structural variations in domestic pig. Mamm Genome 2024:10.1007/s00335-024-10058-z. [PMID: 39177814 DOI: 10.1007/s00335-024-10058-z] [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: 06/14/2024] [Accepted: 08/01/2024] [Indexed: 08/24/2024]
Abstract
Understanding somatic mutations and structural variations in domestic pigs (Sus scrofa domestica) is critical due to their increasing importance as model organisms in biomedical research. In this study, we conducted a comprehensive analysis through whole-genome sequencing of skin, organs, and blood samples. By examining two pig pedigrees, we investigated the inheritance and sharedness of structural variants among fathers, mothers, and offsprings. Utilizing single-cell clonal expansion techniques, we observed significant variations in the number of somatic mutations across different tissues. An in-house developed pipeline enabled precise filtering and analysis of these mutations, resulting in the construction of individual phylogenetic trees for two pigs. These trees explored the developmental relationships between different tissues, revealing insights into clonal expansions from various anatomical locations. This study enhances the understanding of pig genomes, affirming their increasing value in clinical and genomic research, and provides a foundation for future studies in other animals, paralleling previous studies in mice and humans. This approach not only deepens our understanding of mammalian genomic variations but also strengthens the role of pigs as a crucial model in human health and disease research.
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Affiliation(s)
- Seong Gyu Kwon
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Geon Hue Bae
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Joo Hee Hong
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jeong-Woo Choi
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - June Hyug Choi
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Nam Seop Lim
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - CheolMin Jeon
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Nanda Maya Mali
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Mee Sook Jun
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - JaeEun Shin
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Anatomy, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - JinSoo Kim
- Department of Animal Industry Convergence, Kangwon National University, Chuncheon, Republic of Korea
| | - Eun-Seok Cho
- Department of Livestock Resource Development, National Institute of Animal Science, Jeonbuk, Republic of Korea
| | - Man-Hoon Han
- Department of Pathology, Kyungpook National University Hospital, Daegu, Republic of Korea.
- Department of Pathology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
| | - Ji Won Oh
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Absolute DNA, Inc., Daegu, Republic of Korea.
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6
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Poort VM, Hagelaar R, van Roosmalen MJ, Trabut L, Buijs-Gladdines JGCAM, van Wijk B, Meijerink J, van Boxtel R. Transient Differentiation-State Plasticity Occurs during Acute Lymphoblastic Leukemia Initiation. Cancer Res 2024; 84:2720-2733. [PMID: 38885294 PMCID: PMC11325147 DOI: 10.1158/0008-5472.can-24-1090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/20/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
Leukemia is characterized by oncogenic lesions that result in a block of differentiation, whereas phenotypic plasticity is retained. A better understanding of how these two phenomena arise during leukemogenesis in humans could help inform diagnosis and treatment strategies. Here, we leveraged the well-defined differentiation states during T-cell development to pinpoint the initiation of T-cell acute lymphoblastic leukemia (T-ALL), an aggressive form of childhood leukemia, and study the emergence of phenotypic plasticity. Single-cell whole genome sequencing of leukemic blasts was combined with multiparameter flow cytometry to couple cell identity and clonal lineages. Irrespective of genetic events, leukemia-initiating cells altered their phenotypes by differentiation and dedifferentiation. The construction of the phylogenies of individual leukemias using somatic mutations revealed that phenotypic diversity is reflected by the clonal structure of cancer. The analysis also indicated that the acquired phenotypes are heritable and stable. Together, these results demonstrate a transient period of plasticity during leukemia initiation, where phenotypic switches seem unidirectional. Significance: A method merging multicolor flow cytometry with single-cell whole genome sequencing to couple cell identity with clonal lineages uncovers differentiation-state plasticity in leukemia, reconciling blocked differentiation with phenotypic plasticity in cancer.
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Affiliation(s)
- Vera M Poort
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Rico Hagelaar
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Markus J van Roosmalen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Laurianne Trabut
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | | | - Bram van Wijk
- Department of Pediatric Cardiothoracic Surgery, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jules Meijerink
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Ruben van Boxtel
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
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7
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Mack TM, Raddatz MA, Pershad Y, Nachun DC, Taylor KD, Guo X, Shuldiner AR, O'Connell JR, Kenny EE, Loos RJF, Redline S, Cade BE, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Cho MH, DeMeo DL, Levy D, Johnson AD, Mathias RA, Yanek LR, Heckbert SR, Smith NL, Wiggins KL, Raffield LM, Carson AP, Rotter JI, Rich SS, Manichaikul AW, Gu CC, Chen YDI, Lee WJ, Shoemaker MB, Roden DM, Kooperberg C, Auer PL, Desai P, Blackwell TW, Smith AV, Reiner AP, Jaiswal S, Weinstock JS, Bick AG. Epigenetic and proteomic signatures associate with clonal hematopoiesis expansion rate. NATURE AGING 2024; 4:1043-1052. [PMID: 38834882 DOI: 10.1038/s43587-024-00647-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 05/08/2024] [Indexed: 06/06/2024]
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP), whereby somatic mutations in hematopoietic stem cells confer a selective advantage and drive clonal expansion, not only correlates with age but also confers increased risk of morbidity and mortality. Here, we leverage genetically predicted traits to identify factors that determine CHIP clonal expansion rate. We used the passenger-approximated clonal expansion rate method to quantify the clonal expansion rate for 4,370 individuals in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) cohort and calculated polygenic risk scores for DNA methylation aging, inflammation-related measures and circulating protein levels. Clonal expansion rate was significantly associated with both genetically predicted and measured epigenetic clocks. No associations were identified with inflammation-related lab values or diseases and CHIP expansion rate overall. A proteome-wide search identified predicted circulating levels of myeloid zinc finger 1 and anti-Müllerian hormone as associated with an increased CHIP clonal expansion rate and tissue inhibitor of metalloproteinase 1 and glycine N-methyltransferase as associated with decreased CHIP clonal expansion rate. Together, our findings identify epigenetic and proteomic patterns associated with the rate of hematopoietic clonal expansion.
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Affiliation(s)
- Taralynn M Mack
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Michael A Raddatz
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yash Pershad
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Daniel C Nachun
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alan R Shuldiner
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Jeffrey R O'Connell
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute of Personalized Medicine, Mount Sinai Hospital, New York City, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Brian E Cade
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jeong H Yun
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Levy
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
| | - Andrew D Johnson
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Yii-Der Ida Chen
- Medical Genetics Translational Genomics and Population Sciences (TGPS), Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - M Benjamin Shoemaker
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Paul L Auer
- Division of Biostatistics, Institute for Health and Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Thomas W Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Albert V Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alexander G Bick
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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8
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Caiado F, Manz MG. IL-1 in aging and pathologies of hematopoietic stem cells. Blood 2024; 144:368-377. [PMID: 38781562 DOI: 10.1182/blood.2023023105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/01/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024] Open
Abstract
ABSTRACT Defense-oriented inflammatory reactivity supports survival at younger age but might contribute to health impairments in modern, aging societies. The interleukin-1 (IL-1) cytokines are highly conserved and regulated, pleiotropic mediators of inflammation, essential to respond adequately to infection and tissue damage but also with potential host damaging effects when left unresolved. In this review, we discuss how continuous low-level IL-1 signaling contributes to aging-associated hematopoietic stem and progenitor cell (HSPC) functional impairments and how this inflammatory selective pressure acts as a driver of more profound hematological alterations, such as clonal hematopoiesis of indeterminate potential, and to overt HSPC diseases, like myeloproliferative and myelodysplastic neoplasia as well as acute myeloid leukemia. Based on this, we outline how IL-1 pathway inhibition might be used to prevent or treat inflammaging-associated HSPC pathologies.
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Affiliation(s)
- Francisco Caiado
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Comprehensive Cancer Center Zurich, Zurich, Switzerland
| | - Markus G Manz
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Comprehensive Cancer Center Zurich, Zurich, Switzerland
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9
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Bertrums EJM, de Kanter JK, Derks LLM, Verheul M, Trabut L, van Roosmalen MJ, Hasle H, Antoniou E, Reinhardt D, Dworzak MN, Mühlegger N, van den Heuvel-Eibrink MM, Zwaan CM, Goemans BF, van Boxtel R. Selective pressures of platinum compounds shape the evolution of therapy-related myeloid neoplasms. Nat Commun 2024; 15:6025. [PMID: 39019934 PMCID: PMC11255340 DOI: 10.1038/s41467-024-50384-z] [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: 06/12/2023] [Accepted: 07/08/2024] [Indexed: 07/19/2024] Open
Abstract
Therapy-related myeloid neoplasms (t-MN) arise as a complication of chemo- and/or radiotherapy. Although t-MN can occur both in adult and childhood cancer survivors, the mechanisms driving therapy-related leukemogenesis likely vary across different ages. Chemotherapy is thought to induce driver mutations in children, whereas in adults pre-existing mutant clones are selected by the exposure. However, selective pressures induced by chemotherapy early in life are less well studied. Here, we use single-cell whole genome sequencing and phylogenetic inference to show that the founding cell of t-MN in children starts expanding after cessation of platinum exposure. In patients with Li-Fraumeni syndrome, characterized by a germline TP53 mutation, we find that the t-MN already expands during treatment, suggesting that platinum-induced growth inhibition is TP53-dependent. Our results demonstrate that germline aberrations can interact with treatment exposures in inducing t-MN, which is important for the development of more targeted, patient-specific treatment regimens and follow-up.
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Affiliation(s)
- Eline J M Bertrums
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
- Department of Pediatric Oncology/Hematology, Erasmus Medical Center - Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Jurrian K de Kanter
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Lucca L M Derks
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Mark Verheul
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Laurianne Trabut
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Markus J van Roosmalen
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Henrik Hasle
- Department of Pediatrics, Aarhus University Hospital, Aarhus, Denmark
| | - Evangelia Antoniou
- Clinic of Pediatrics III, University Hospital of Essen, Essen, Germany
- AML-BFM Study Group, Essen, Germany
| | - Dirk Reinhardt
- Clinic of Pediatrics III, University Hospital of Essen, Essen, Germany
- AML-BFM Study Group, Essen, Germany
| | - Michael N Dworzak
- St. Anna Children's Cancer Research Institute, Vienna, Austria
- St. Anna Children's Hospital, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Nora Mühlegger
- St. Anna Children's Cancer Research Institute, Vienna, Austria
| | | | - C Michel Zwaan
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Department of Pediatric Oncology/Hematology, Erasmus Medical Center - Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Bianca F Goemans
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
| | - Ruben van Boxtel
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
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10
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Mack T, Vlasschaert C, von Beck K, Silver AJ, Heimlich JB, Poisner H, Condon HR, Ulloa J, Sochacki AL, Spaulding TP, Kishtagari A, Bejan CA, Xu Y, Savona MR, Jones A, Bick AG. Cost-Effective and Scalable Clonal Hematopoiesis Assay Provides Insight into Clonal Dynamics. J Mol Diagn 2024; 26:563-573. [PMID: 38588769 DOI: 10.1016/j.jmoldx.2024.03.007] [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: 11/09/2023] [Revised: 03/06/2024] [Accepted: 03/13/2024] [Indexed: 04/10/2024] Open
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is a common age-related phenomenon in which hematopoietic stem cells acquire mutations in a select set of genes commonly mutated in myeloid neoplasia which then expand clonally. Current sequencing assays to detect CHIP mutations are not optimized for the detection of these variants and can be cost-prohibitive when applied to large cohorts or to serial sequencing. In this study, an affordable (approximately US $8 per sample), accurate, and scalable sequencing assay for CHIP is introduced and validated. The efficacy of the assay was demonstrated by identifying CHIP mutations in a cohort of 456 individuals with DNA collected at multiple time points in Vanderbilt University's biobank and quantifying clonal expansion rates over time. A total of 101 individuals with CHIP/clonal cytopenia of undetermined significance were identified, and individual-level clonal expansion rate was calculated using the variant allele fraction at both time points. Differences in clonal expansion rate by driver gene were observed, but there was also significant individual-level heterogeneity, emphasizing the multifactorial nature of clonal expansion. Additionally, mutation co-occurrence and clonal competition between multiple driver mutations were explored.
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Affiliation(s)
- Taralynn Mack
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, Tennessee
| | | | - Kelly von Beck
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Alexander J Silver
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - J Brett Heimlich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hannah Poisner
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Henry R Condon
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jessica Ulloa
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Andrew L Sochacki
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Travis P Spaulding
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ashwin Kishtagari
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Cosmin A Bejan
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yaomin Xu
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Michael R Savona
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; Center for Immunobiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Angela Jones
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Alexander G Bick
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, Tennessee; Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
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11
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Carrelha J, Mazzi S, Winroth A, Hagemann-Jensen M, Ziegenhain C, Högstrand K, Seki M, Brennan MS, Lehander M, Wu B, Meng Y, Markljung E, Norfo R, Ishida H, Belander Strålin K, Grasso F, Simoglou Karali C, Aliouat A, Hillen A, Chari E, Siletti K, Thongjuea S, Mead AJ, Linnarsson S, Nerlov C, Sandberg R, Yoshizato T, Woll PS, Jacobsen SEW. Alternative platelet differentiation pathways initiated by nonhierarchically related hematopoietic stem cells. Nat Immunol 2024; 25:1007-1019. [PMID: 38816617 PMCID: PMC11147777 DOI: 10.1038/s41590-024-01845-6] [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: 05/12/2023] [Accepted: 04/17/2024] [Indexed: 06/01/2024]
Abstract
Rare multipotent stem cells replenish millions of blood cells per second through a time-consuming process, passing through multiple stages of increasingly lineage-restricted progenitors. Although insults to the blood-forming system highlight the need for more rapid blood replenishment from stem cells, established models of hematopoiesis implicate only one mandatory differentiation pathway for each blood cell lineage. Here, we establish a nonhierarchical relationship between distinct stem cells that replenish all blood cell lineages and stem cells that replenish almost exclusively platelets, a lineage essential for hemostasis and with important roles in both the innate and adaptive immune systems. These distinct stem cells use cellularly, molecularly and functionally separate pathways for the replenishment of molecularly distinct megakaryocyte-restricted progenitors: a slower steady-state multipotent pathway and a fast-track emergency-activated platelet-restricted pathway. These findings provide a framework for enhancing platelet replenishment in settings in which slow recovery of platelets remains a major clinical challenge.
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Affiliation(s)
- Joana Carrelha
- Haematopoietic Stem Cell Biology Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, UK.
| | - Stefania Mazzi
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Axel Winroth
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Christoph Ziegenhain
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
- Division of Medical Systems Bioengineering, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Kari Högstrand
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Masafumi Seki
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Margs S Brennan
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Madeleine Lehander
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Bishan Wu
- Haematopoietic Stem Cell Biology Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Yiran Meng
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Ellen Markljung
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Ruggiero Norfo
- Haematopoietic Stem Cell Biology Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Interdepartmental Centre for Stem Cells and Regenerative Medicine (CIDSTEM), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Hisashi Ishida
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Karin Belander Strålin
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Pediatric Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Francesca Grasso
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Christina Simoglou Karali
- Haematopoietic Stem Cell Biology Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Affaf Aliouat
- Haematopoietic Stem Cell Biology Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Amy Hillen
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Edwin Chari
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kimberly Siletti
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Supat Thongjuea
- Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Adam J Mead
- Haematopoietic Stem Cell Biology Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Cancer and Haematology Centre, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Sten Linnarsson
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Claus Nerlov
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Rickard Sandberg
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Tetsuichi Yoshizato
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter S Woll
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Sten Eirik W Jacobsen
- Haematopoietic Stem Cell Biology Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden.
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden.
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12
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Pershad Y, Mack T, Poisner H, Jakubek YA, Stilp AM, Mitchell BD, Lewis JP, Boerwinkle E, Loos RJF, Chami N, Wang Z, Barnes K, Pankratz N, Fornage M, Redline S, Psaty BM, Bis JC, Shojaie A, Silverman EK, Cho MH, Yun JH, DeMeo D, Levy D, Johnson AD, Mathias RA, Taub MA, Arnett D, North KE, Raffield LM, Carson AP, Doyle MF, Rich SS, Rotter JI, Guo X, Cox NJ, Roden DM, Franceschini N, Desai P, Reiner AP, Auer PL, Scheet PA, Jaiswal S, Weinstock JS, Bick AG. Determinants of mosaic chromosomal alteration fitness. Nat Commun 2024; 15:3800. [PMID: 38714703 PMCID: PMC11076528 DOI: 10.1038/s41467-024-48190-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 04/23/2024] [Indexed: 05/10/2024] Open
Abstract
Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate as PACER scores for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our mCA fitness estimates, derived by aggregating per-individual PACER scores, were correlated (R2 = 0.49) with an alternative approach that estimated fitness of mCAs in the UK Biobank using population-level distributions of clonal fraction. Among individuals with JAK2 V617F clonal hematopoiesis of indeterminate potential or mCAs affecting the JAK2 gene on chromosome 9, PACER score was strongly correlated with erythrocyte count. In a cross-sectional analysis, genome-wide association study of estimates of mCA expansion rate identified a TCL1A locus variant associated with mCA clonal expansion rate, with suggestive variants in NRIP1 and TERT.
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Affiliation(s)
- Yash Pershad
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Taralynn Mack
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Hannah Poisner
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Yasminka A Jakubek
- Internal Medicine, Biomedical Informatics, University of Kentucky, Lexington, KY, USA
| | - Adrienne M Stilp
- Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Braxton D Mitchell
- Dept of Medicine, Endocrinology, Diabetes, and Nutrition, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Joshua P Lewis
- Dept of Medicine, Endocrinology, Diabetes, and Nutrition, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kathleen Barnes
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz, Aurora, CO, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan Redline
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ali Shojaie
- Biostatistics, University of Washington, Seattle, WA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jeong H Yun
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dawn DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Levy
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
| | - Andrew D Johnson
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
| | - Rasika A Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MA, USA
| | - Margaret A Taub
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
| | - Donna Arnett
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina Chapel-Hill, Chapel Hill, NC, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Margaret F Doyle
- Department of Pathology & Laboratory Medicine, The University of Vermont Larner College of Medicine, Colchester, VT, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Jerome I Rotter
- Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xiuqing Guo
- Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University and Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina Chapel-Hill, Chapel Hill, NC, USA
| | - Pinkal Desai
- Weill Cornell Medical College, New York, NY, USA
| | - Alex P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Paul L Auer
- Division of Biostatistics, Insitute for Health & Equity and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Paul A Scheet
- Dept of Epidemiology, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | | | - Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University and Vanderbilt University Medical Center, Nashville, TN, USA.
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13
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Stankiewicz LN, Rossi FMV, Zandstra PW. Rebuilding and rebooting immunity with stem cells. Cell Stem Cell 2024; 31:597-616. [PMID: 38593798 DOI: 10.1016/j.stem.2024.03.012] [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: 01/08/2024] [Revised: 03/08/2024] [Accepted: 03/15/2024] [Indexed: 04/11/2024]
Abstract
Advances in modern medicine have enabled a rapid increase in lifespan and, consequently, have highlighted the immune system as a key driver of age-related disease. Immune regeneration therapies present exciting strategies to address age-related diseases by rebooting the host's primary lymphoid tissues or rebuilding the immune system directly via biomaterials or artificial tissue. Here, we identify important, unanswered questions regarding the safety and feasibility of these therapies. Further, we identify key design parameters that should be primary considerations guiding technology design, including timing of application, interaction with the host immune system, and functional characterization of the target patient population.
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Affiliation(s)
- Laura N Stankiewicz
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
| | - Fabio M V Rossi
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
| | - Peter W Zandstra
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada; Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
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14
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Muyas F, Sauer CM, Valle-Inclán JE, Li R, Rahbari R, Mitchell TJ, Hormoz S, Cortés-Ciriano I. De novo detection of somatic mutations in high-throughput single-cell profiling data sets. Nat Biotechnol 2024; 42:758-767. [PMID: 37414936 PMCID: PMC11098751 DOI: 10.1038/s41587-023-01863-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 06/07/2023] [Indexed: 07/08/2023]
Abstract
Characterization of somatic mutations at single-cell resolution is essential to study cancer evolution, clonal mosaicism and cell plasticity. Here, we describe SComatic, an algorithm designed for the detection of somatic mutations in single-cell transcriptomic and ATAC-seq (assay for transposase-accessible chromatin sequence) data sets directly without requiring matched bulk or single-cell DNA sequencing data. SComatic distinguishes somatic mutations from polymorphisms, RNA-editing events and artefacts using filters and statistical tests parameterized on non-neoplastic samples. Using >2.6 million single cells from 688 single-cell RNA-seq (scRNA-seq) and single-cell ATAC-seq (scATAC-seq) data sets spanning cancer and non-neoplastic samples, we show that SComatic detects mutations in single cells accurately, even in differentiated cells from polyclonal tissues that are not amenable to mutation detection using existing methods. Validated against matched genome sequencing and scRNA-seq data, SComatic achieves F1 scores between 0.6 and 0.7 across diverse data sets, in comparison to 0.2-0.4 for the second-best performing method. In summary, SComatic permits de novo mutational signature analysis, and the study of clonal heterogeneity and mutational burdens at single-cell resolution.
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Affiliation(s)
- Francesc Muyas
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Carolin M Sauer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Jose Espejo Valle-Inclán
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Ruoyan Li
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Raheleh Rahbari
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Thomas J Mitchell
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Surgery, University of Cambridge, Cambridge, UK
| | - Sahand Hormoz
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Isidro Cortés-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK.
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15
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Rückert T, Romagnani C. Extrinsic and intrinsic drivers of natural killer cell clonality. Immunol Rev 2024; 323:80-106. [PMID: 38506411 DOI: 10.1111/imr.13324] [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: 03/21/2024]
Abstract
Clonal expansion of antigen-specific lymphocytes is the fundamental mechanism enabling potent adaptive immune responses and the generation of immune memory. Accompanied by pronounced epigenetic remodeling, the massive proliferation of individual cells generates a critical mass of effectors for the control of acute infections, as well as a pool of memory cells protecting against future pathogen encounters. Classically associated with the adaptive immune system, recent work has demonstrated that innate immune memory to human cytomegalovirus (CMV) infection is stably maintained as large clonal expansions of natural killer (NK) cells, raising questions on the mechanisms for clonal selection and expansion in the absence of re-arranged antigen receptors. Here, we discuss clonal NK cell memory in the context of the mechanisms underlying clonal competition of adaptive lymphocytes and propose alternative selection mechanisms that might decide on the clonal success of their innate counterparts. We propose that the integration of external cues with cell-intrinsic sources of heterogeneity, such as variegated receptor expression, transcriptional states, and somatic variants, compose a bottleneck for clonal selection, contributing to the large size of memory NK cell clones.
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Affiliation(s)
- Timo Rückert
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Immunology, Berlin, Germany
| | - Chiara Romagnani
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Immunology, Berlin, Germany
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16
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Manso BA, Rodriguez y Baena A, Forsberg EC. From Hematopoietic Stem Cells to Platelets: Unifying Differentiation Pathways Identified by Lineage Tracing Mouse Models. Cells 2024; 13:704. [PMID: 38667319 PMCID: PMC11048769 DOI: 10.3390/cells13080704] [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: 03/29/2024] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Platelets are the terminal progeny of megakaryocytes, primarily produced in the bone marrow, and play critical roles in blood homeostasis, clotting, and wound healing. Traditionally, megakaryocytes and platelets are thought to arise from multipotent hematopoietic stem cells (HSCs) via multiple discrete progenitor populations with successive, lineage-restricting differentiation steps. However, this view has recently been challenged by studies suggesting that (1) some HSC clones are biased and/or restricted to the platelet lineage, (2) not all platelet generation follows the "canonical" megakaryocytic differentiation path of hematopoiesis, and (3) platelet output is the default program of steady-state hematopoiesis. Here, we specifically investigate the evidence that in vivo lineage tracing studies provide for the route(s) of platelet generation and investigate the involvement of various intermediate progenitor cell populations. We further identify the challenges that need to be overcome that are required to determine the presence, role, and kinetics of these possible alternate pathways.
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Affiliation(s)
- Bryce A. Manso
- Institute for the Biology of Stem Cells, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
- Department of Biomolecular Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Alessandra Rodriguez y Baena
- Institute for the Biology of Stem Cells, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
- Program in Biomedical Sciences and Engineering, Department of Molecular, Cell, and Developmental Biology, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - E. Camilla Forsberg
- Institute for the Biology of Stem Cells, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
- Department of Biomolecular Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
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17
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Ganz J, Luquette LJ, Bizzotto S, Miller MB, Zhou Z, Bohrson CL, Jin H, Tran AV, Viswanadham VV, McDonough G, Brown K, Chahine Y, Chhouk B, Galor A, Park PJ, Walsh CA. Contrasting somatic mutation patterns in aging human neurons and oligodendrocytes. Cell 2024; 187:1955-1970.e23. [PMID: 38503282 PMCID: PMC11062076 DOI: 10.1016/j.cell.2024.02.025] [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: 01/09/2023] [Revised: 12/06/2023] [Accepted: 02/21/2024] [Indexed: 03/21/2024]
Abstract
Characterizing somatic mutations in the brain is important for disentangling the complex mechanisms of aging, yet little is known about mutational patterns in different brain cell types. Here, we performed whole-genome sequencing (WGS) of 86 single oligodendrocytes, 20 mixed glia, and 56 single neurons from neurotypical individuals spanning 0.4-104 years of age and identified >92,000 somatic single-nucleotide variants (sSNVs) and small insertions/deletions (indels). Although both cell types accumulate somatic mutations linearly with age, oligodendrocytes accumulated sSNVs 81% faster than neurons and indels 28% slower than neurons. Correlation of mutations with single-nucleus RNA profiles and chromatin accessibility from the same brains revealed that oligodendrocyte mutations are enriched in inactive genomic regions and are distributed across the genome similarly to mutations in brain cancers. In contrast, neuronal mutations are enriched in open, transcriptionally active chromatin. These stark differences suggest an assortment of active mutagenic processes in oligodendrocytes and neurons.
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Affiliation(s)
- Javier Ganz
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Lovelace J Luquette
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Sara Bizzotto
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Sorbonne Université, Institut du Cerveau (Paris Brain Institute) ICM, Inserm, CNRS, Hôpital de la Pitié Salpêtrière, 75013 Paris, France
| | - Michael B Miller
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Zinan Zhou
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Craig L Bohrson
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Antuan V Tran
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | | | - Gannon McDonough
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Katherine Brown
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yasmine Chahine
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA
| | - Brian Chhouk
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA
| | - Alon Galor
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics, Brigham and Women's Hospital, Boston, MA 02115, USA.
| | - Christopher A Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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18
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Rosendahl Huber A, Pleguezuelos-Manzano C, Puschhof J, Ubels J, Boot C, Saftien A, Verheul M, Trabut LT, Groenen N, van Roosmalen M, Ouyang KS, Wood H, Quirke P, Meijer G, Cuppen E, Clevers H, van Boxtel R. Improved detection of colibactin-induced mutations by genotoxic E. coli in organoids and colorectal cancer. Cancer Cell 2024; 42:487-496.e6. [PMID: 38471458 DOI: 10.1016/j.ccell.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 01/26/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024]
Abstract
Co-culture of intestinal organoids with a colibactin-producing pks+E. coli strain (EcC) revealed mutational signatures also found in colorectal cancer (CRC). E. coli Nissle 1917 (EcN) remains a commonly used probiotic, despite harboring the pks operon and inducing double strand DNA breaks. We determine the mutagenicity of EcN and three CRC-derived pks+E. coli strains with an analytical framework based on sequence characteristic of colibactin-induced mutations. All strains, including EcN, display varying levels of mutagenic activity. Furthermore, a machine learning approach attributing individual mutations to colibactin reveals that patients with colibactin-induced mutations are diagnosed at a younger age and that colibactin can induce a specific APC mutation. These approaches allow the sensitive detection of colibactin-induced mutations in ∼12% of CRC genomes and even in whole exome sequencing data, representing a crucial step toward pinpointing the mutagenic activity of distinct pks+E. coli strains.
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Affiliation(s)
- Axel Rosendahl Huber
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Carrer de Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Cayetano Pleguezuelos-Manzano
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Jens Puschhof
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands; Microbiome and Cancer Division, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
| | - Joske Ubels
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Charelle Boot
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Aurelia Saftien
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands; Microbiome and Cancer Division, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Mark Verheul
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Laurianne T Trabut
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Niels Groenen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Markus van Roosmalen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Kyanna S Ouyang
- Microbiome and Cancer Division, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Henry Wood
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Phil Quirke
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Gerrit Meijer
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Edwin Cuppen
- University Medical Center Utrecht, Utrecht, the Netherlands; Hartwig Medical Foundation, Amsterdam, the Netherlands
| | - Hans Clevers
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584 CT Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands; Roche Pharmaceutical Research and Early Development, 4058 Basel, Switzerland.
| | - Ruben van Boxtel
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands.
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19
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Kapadia CD, Goodell MA. Tissue mosaicism following stem cell aging: blood as an exemplar. NATURE AGING 2024; 4:295-308. [PMID: 38438628 DOI: 10.1038/s43587-024-00589-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/07/2024] [Indexed: 03/06/2024]
Abstract
Loss of stem cell regenerative potential underlies aging of all tissues. Somatic mosaicism, the emergence of cellular patchworks within tissues, increases with age and has been observed in every organ yet examined. In the hematopoietic system, as in most tissues, stem cell aging through a variety of mechanisms occurs in lockstep with the emergence of somatic mosaicism. Here, we draw on insights from aging hematopoiesis to illustrate fundamental principles of stem cell aging and somatic mosaicism. We describe the generalizable changes intrinsic to aged stem cells and their milieu that provide the backdrop for somatic mosaicism to emerge. We discuss genetic and nongenetic mechanisms that can result in tissue somatic mosaicism and existing methodologies to detect such clonal outgrowths. Finally, we propose potential avenues to modify mosaicism during aging, with the ultimate aim of increasing tissue resiliency.
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Affiliation(s)
- Chiraag D Kapadia
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Margaret A Goodell
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA.
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20
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Fabre MA, Vassiliou GS. The lifelong natural history of clonal hematopoiesis and its links to myeloid neoplasia. Blood 2024; 143:573-581. [PMID: 37992214 DOI: 10.1182/blood.2023019964] [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: 07/28/2023] [Revised: 10/26/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023] Open
Abstract
ABSTRACT The study of somatic mutations and the associated clonal mosaicism across the human body has transformed our understanding of aging and its links to cancer. In proliferative human tissues, stem cells compete for dominance, and those with an advantage expand clonally to outgrow their peers. In the hematopoietic system, such expansion is termed clonal hematopoiesis (CH). The forces driving competition, namely heterogeneity of the hematopoietic stem cell (HSC) pool and attrition of their environment, become increasingly prominent with age. As a result, CH becomes progressively more common through life to the point of becoming essentially ubiquitous. We are beginning to unravel the specific intracellular and extracellular factors underpinning clonal behavior, with somatic mutations in specific driver genes, inflammation, telomere maintenance, extraneous exposures, and inherited genetic variation among the important players. The inevitability of CH with age combined with its unequivocal links to myeloid cancers poses a scientific and clinical challenge. Specifically, we need to decipher the factors determining clonal behavior and develop prognostic tools to identify those at high risk of malignant progression, for whom preventive interventions may be warranted. Here, we discuss how recent advances in our understanding of the natural history of CH have provided important insights into these processes and helped define future avenues of investigation.
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Affiliation(s)
- Margarete A Fabre
- Department of Haematology, Cambridge University Hospitals National Health Service Trust, Cambridge, United Kingdom
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals Research & Development, AstraZeneca, Cambridge, United Kingdom
| | - George S Vassiliou
- Department of Haematology, Cambridge University Hospitals National Health Service Trust, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
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21
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Zhang L, Lee M, Maslov AY, Montagna C, Vijg J, Dong X. Analyzing somatic mutations by single-cell whole-genome sequencing. Nat Protoc 2024; 19:487-516. [PMID: 37996541 PMCID: PMC11406548 DOI: 10.1038/s41596-023-00914-8] [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: 12/14/2022] [Accepted: 09/18/2023] [Indexed: 11/25/2023]
Abstract
Somatic mutations are the cause of cancer and have been implicated in other, noncancerous diseases and aging. While clonally expanded mutations can be studied by deep sequencing of bulk DNA, very few somatic mutations expand clonally, and most are unique to each cell. We describe a detailed protocol for single-cell whole-genome sequencing to discover and analyze somatic mutations in tissues and organs. The protocol comprises single-cell multiple displacement amplification (SCMDA), which ensures efficiency and high fidelity in amplification, and the SCcaller software tool to call single-nucleotide variations and small insertions and deletions from the sequencing data by filtering out amplification artifacts. With SCMDA and SCcaller at its core, this protocol describes a complete procedure for the comprehensive analysis of somatic mutations in a single cell, covering (1) single-cell or nucleus isolation, (2) single-cell or nucleus whole-genome amplification, (3) library preparation and sequencing, and (4) computational analyses, including alignment, variant calling, and mutation burden estimation. Methods are also provided for mutation annotation, hotspot discovery and signature analysis. The protocol takes 12-15 h from single-cell isolation to library preparation and 3-7 d of data processing. Compared with other single-cell amplification methods or single-molecular sequencing, it provides high genomic coverage, high accuracy in single-nucleotide variation and small insertions and deletion calling from the same single-cell genome, and fewer processing steps. SCMDA and SCcaller require basic experience in molecular biology and bioinformatics. The protocol can be utilized for studying mutagenesis and genome mosaicism in normal and diseased human and animal tissues under various conditions.
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Affiliation(s)
- Lei Zhang
- Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
| | - Moonsook Lee
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Alexander Y Maslov
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
- Laboratory of Applied Genomic Technologies, Voronezh State University of Engineering Technology, Voronezh, Russia
| | - Cristina Montagna
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Jan Vijg
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Dong
- Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, USA.
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22
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Dananberg A, Striepen J, Rozowsky JS, Petljak M. APOBEC Mutagenesis in Cancer Development and Susceptibility. Cancers (Basel) 2024; 16:374. [PMID: 38254863 PMCID: PMC10814203 DOI: 10.3390/cancers16020374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
APOBEC cytosine deaminases are prominent mutators in cancer, mediating mutations in over 50% of cancers. APOBEC mutagenesis has been linked to tumor heterogeneity, persistent cell evolution, and therapy responses. While emerging evidence supports the impact of APOBEC mutagenesis on cancer progression, the understanding of its contribution to cancer susceptibility and malignant transformation is limited. We examine the existing evidence for the role of APOBEC mutagenesis in carcinogenesis on the basis of the reported associations between germline polymorphisms in genes encoding APOBEC enzymes and cancer risk, insights into APOBEC activities from sequencing efforts of both malignant and non-malignant human tissues, and in vivo studies. We discuss key knowledge gaps and highlight possible ways to gain a deeper understanding of the contribution of APOBEC mutagenesis to cancer development.
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Affiliation(s)
- Alexandra Dananberg
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Josefine Striepen
- Molecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jacob S Rozowsky
- Medical Scientist Training Program, New York University Grossman School of Medicine, New York, NY 10016, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mia Petljak
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
- Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY 10016, USA
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23
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Craig JM, Gerhard GS, Sharma S, Yankovskiy A, Miura S, Kumar S. Methods for Estimating Personal Disease Risk and Phylogenetic Diversity of Hematopoietic Stem Cells. Mol Biol Evol 2024; 41:msad279. [PMID: 38124397 PMCID: PMC10768883 DOI: 10.1093/molbev/msad279] [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: 09/01/2023] [Revised: 12/08/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023] Open
Abstract
An individual's chronological age does not always correspond to the health of different tissues in their body, especially in cases of disease. Therefore, estimating and contrasting the physiological age of tissues with an individual's chronological age may be a useful tool to diagnose disease and its progression. In this study, we present novel metrics to quantify the loss of phylogenetic diversity in hematopoietic stem cells (HSCs), which are precursors to most blood cell types and are associated with many blood-related diseases. These metrics showed an excellent correspondence with an age-related increase in blood cancer incidence, enabling a model to estimate the phylogeny-derived age (phyloAge) of HSCs present in an individual. The HSC phyloAge was generally older than the chronological age of patients suffering from myeloproliferative neoplasms (MPNs). We present a model that relates excess HSC aging with increased MPN risk. It predicted an over 200 times greater risk based on the HSC phylogenies of the youngest MPN patients analyzed. Our new metrics are designed to be robust to sampling biases and do not rely on prior knowledge of driver mutations or physiological assessments. Consequently, they complement conventional biomarker-based methods to estimate physiological age and disease risk.
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Affiliation(s)
- Jack M Craig
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA
- Department of Biology, Temple University, Philadelphia, PA, USA
| | - Glenn S Gerhard
- Department of Medical Genetics and Molecular Biochemistry, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
| | - Sudip Sharma
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA
- Department of Biology, Temple University, Philadelphia, PA, USA
| | - Anastasia Yankovskiy
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA
- Department of Biology, Temple University, Philadelphia, PA, USA
| | - Sayaka Miura
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA
- Department of Biology, Temple University, Philadelphia, PA, USA
| | - Sudhir Kumar
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA
- Department of Biology, Temple University, Philadelphia, PA, USA
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24
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Spencer Chapman M, Cull AH, Ciuculescu MF, Esrick EB, Mitchell E, Jung H, O'Neill L, Roberts K, Fabre MA, Williams N, Nangalia J, Quinton J, Fox JM, Pellin D, Makani J, Armant M, Williams DA, Campbell PJ, Kent DG. Clonal selection of hematopoietic stem cells after gene therapy for sickle cell disease. Nat Med 2023; 29:3175-3183. [PMID: 37973947 PMCID: PMC10719109 DOI: 10.1038/s41591-023-02636-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 10/10/2023] [Indexed: 11/19/2023]
Abstract
Gene therapy (GT) provides a potentially curative treatment option for patients with sickle cell disease (SCD); however, the occurrence of myeloid malignancies in GT clinical trials has prompted concern, with several postulated mechanisms. Here, we used whole-genome sequencing to track hematopoietic stem cells (HSCs) from six patients with SCD at pre- and post-GT time points to map the somatic mutation and clonal landscape of gene-modified and unmodified HSCs. Pre-GT, phylogenetic trees were highly polyclonal and mutation burdens per cell were elevated in some, but not all, patients. Post-GT, no clonal expansions were identified among gene-modified or unmodified cells; however, an increased frequency of potential driver mutations associated with myeloid neoplasms or clonal hematopoiesis (DNMT3A- and EZH2-mutated clones in particular) was observed in both genetically modified and unmodified cells, suggesting positive selection of mutant clones during GT. This work sheds light on HSC clonal dynamics and the mutational landscape after GT in SCD, highlighting the enhanced fitness of some HSCs harboring pre-existing driver mutations. Future studies should define the long-term fate of mutant clones, including any contribution to expansions associated with myeloid neoplasms.
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Affiliation(s)
- Michael Spencer Chapman
- Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Alyssa H Cull
- York Biomedical Research Institute, University of York, York, UK
| | | | - Erica B Esrick
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Emily Mitchell
- Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK
| | | | | | | | - Margarete A Fabre
- Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | | | - Jyoti Nangalia
- Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK
| | - Joanne Quinton
- York Biomedical Research Institute, University of York, York, UK
| | - James M Fox
- York Biomedical Research Institute, University of York, York, UK
| | - Danilo Pellin
- Harvard Medical School, Boston, MA, USA
- Gene Therapy Program, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA, USA
| | - Julie Makani
- Muhimbili University of Health and Allied Sciences (MUHAS), Dar-es-Salaam, Tanzania
- SickleInAfrica Clinical Coordinating Center, MUHAS, Dar-es-Salaam, Tanzania
- Imperial College London, London, UK
| | - Myriam Armant
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
| | - David A Williams
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA.
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Gene Therapy Program, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
| | - Peter J Campbell
- Wellcome Sanger Institute, Hinxton, UK.
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK.
| | - David G Kent
- York Biomedical Research Institute, University of York, York, UK.
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25
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Hallermayr A, Keßler T, Steinke-Lange V, Heitzer E, Holinski-Feder E, Speicher M. The utility of liquid biopsy in clinical genetic diagnosis of cancer and monogenic mosaic disorders. MED GENET-BERLIN 2023; 35:275-284. [PMID: 38835734 PMCID: PMC11006364 DOI: 10.1515/medgen-2023-2066] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Liquid biopsy for minimally invasive diagnosis and monitoring of cancer patients is progressing toward routine clinical practice. With the implementation of highly sensitive next-generation sequencing (NGS) based assays for the analysis of cfDNA, however, consideration of the utility of liquid biopsy for clinical genetic testing is critical. While the focus of liquid biopsy for cancer diagnosis is the detection of circulating tumor DNA (ctDNA) as a fraction of total cell-free DNA (cfDNA), cfDNA analysis reveals both somatic mosaic tumor and germline variants and clonal hematopoiesis. Here we outline advantages and limitations of mosaic and germline variant detection as well as the impact of clonal hematopoiesis on liquid biopsy in cancer diagnosis. We also evaluate the potential of cfDNA analysis for the molecular diagnosis of monogenic mosaic disorders.
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Affiliation(s)
| | - Thomas Keßler
- MGZ - Medizinisch Genetisches Zentrum München Germany
| | | | - Ellen Heitzer
- Medical University of Graz Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine (Austria) Graz Austria
| | | | - Michael Speicher
- Medical University of Graz Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine (Austria), Neue Stiftingtalstraße 2 Graz Austria
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26
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Mack T, Vlasschaert C, von Beck K, Silver AJ, Heimlich JB, Poisner H, Condon HR, Ulloa J, Sochacki AL, Spaulding TP, Kishtagari A, Bejan CA, Xu Y, Savona MR, Jones A, Bick A. Cost-effective and scalable clonal hematopoiesis assay provides insight into clonal dynamics. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.08.23298270. [PMID: 37986782 PMCID: PMC10659520 DOI: 10.1101/2023.11.08.23298270] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is a common age-related phenomenon that occurs when hematopoietic stem cells acquire mutations in a select set of genes commonly mutated in myeloid neoplasia which then expand clonally. Current sequencing assays to detect CHIP are not optimized for the detection of these variants and can be cost-prohibitive when applied to large cohorts or serial sequencing. Here, we present and validate a CHIP targeted sequencing assay that is affordable (∼$8/sample), accurate and highly scalable. To demonstrate the utility of this assay, we detected CHIP in a cohort of 456 individuals with DNA collected at multiple timepoints in the Vanderbilt BioVU biobank and quantified clonal expansion rates over time. A total of 101 individuals with CHIP were identified, and individual-level clonal expansion rate was calculated using the variant allele fraction (VAF) at both timepoints. Differences in clonal expansion rate by driver gene were observed, but there was also significant individual-level heterogeneity, emphasizing the multifactorial nature of clonal expansion. We further describe the mutation co-occurrence and clonal competition between multiple driver mutations.
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27
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Derks LLM, van Boxtel R. Stem cell mutations, associated cancer risk, and consequences for regenerative medicine. Cell Stem Cell 2023; 30:1421-1433. [PMID: 37832550 PMCID: PMC10624213 DOI: 10.1016/j.stem.2023.09.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/05/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023]
Abstract
Mutation accumulation in stem cells has been associated with cancer risk. However, the presence of numerous mutant clones in healthy tissues has raised the question of what limits cancer initiation. Here, we review recent developments in characterizing mutation accumulation in healthy tissues and compare mutation rates in stem cells during development and adult life with corresponding cancer risk. A certain level of mutagenesis within the stem cell pool might be beneficial to limit the size of malignant clones through competition. This knowledge impacts our understanding of carcinogenesis with potential consequences for the use of stem cells in regenerative medicine.
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Affiliation(s)
- Lucca L M Derks
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Ruben van Boxtel
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands.
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28
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Ogura Y, Mimura I. Epigenetic roles in clonal hematopoiesis and aging kidney-related chronic kidney disease. Front Cell Dev Biol 2023; 11:1281850. [PMID: 37928907 PMCID: PMC10623128 DOI: 10.3389/fcell.2023.1281850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/11/2023] [Indexed: 11/07/2023] Open
Abstract
Accumulation of somatic hematopoietic stem cell mutations with aging has been revealed by the recent genome-wide analysis. Clonal expansion, known as clonal hematopoiesis of indeterminate potential (CHIP), is a premalignant condition of hematological cancers. It is defined as the absence of definitive morphological evidence of a hematological neoplasm and occurrence of ≥2% of mutant allele fraction in the peripheral blood. In CHIP, the most frequently mutated genes are epigenetic regulators such as DNMT3A, TET2, and ASXL1. CHIP induces inflammation. CHIP is shown to be associated with not only hematological malignancy but also non-malignant disorders such as atherosclerosis, cardiovascular diseases and chronic liver disease. In addition, recent several large clinical trials have shown that CHIP is also the risk factor for developing chronic kidney disease (CKD). In this review article, we proposed novel findings about CHIP and CHIP related kidney disease based on the recent basic and clinical research. The possible mechanism of the kidney injury in CHIP is supposed to be due to the clonal expansion in both myeloid and lymphoid cell lines. In myeloid cell lines, the mutated macrophages increase the inflammatory cytokine level and induce chronic inflammation. It leads to epigenetic downregulation of kidney and macrophage klotho level. In lymphoid cell lines, CHIP might be related to monoclonal gammopathy of renal significance (MGRS). It describes any B cell or plasma cell clonal disorder that does not fulfill the criteria for cancer yet produces a nephrotoxic monoclonal immunoglobulin that leads to kidney injury or disease. MGRS causes M-protein related nephropathy frequently observed among aged CKD patients. It is important to consider the CHIP-related complications such as hematological malignancy, cardiovascular diseases and metabolic disorders in managing the elderly CKD patients. There are no established therapies for CHIP and CHIP-related CKD yet. However, recent studies have supported the development of effective CHIP therapies, such as blocking the expansion of aberrant HSCs and inhibiting chronic inflammation. In addition, drugs targeting the epigenetic regulation of Klotho in the kidney and macrophages might be therapeutic targets of CHIP in the kidney.
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Affiliation(s)
| | - Imari Mimura
- Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan
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29
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Watson CJ, Blundell JR. Mutation rates and fitness consequences of mosaic chromosomal alterations in blood. Nat Genet 2023; 55:1677-1685. [PMID: 37697102 PMCID: PMC10562253 DOI: 10.1038/s41588-023-01490-z] [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: 08/26/2022] [Accepted: 07/28/2023] [Indexed: 09/13/2023]
Abstract
Mosaic chromosomal alterations (mCAs) are common in cancers and can arise decades before diagnosis. A quantitative understanding of the rate at which these events occur, and their functional consequences, could improve cancer risk prediction and our understanding of somatic evolution. Using mCA clone size estimates from the blood of approximately 500,000 UK Biobank participants, we estimate mutation rates and fitness consequences of acquired gain, loss and copy-neutral loss of heterozygosity events. Most mCAs have moderate to high fitness effects but occur at a low rate, being more than tenfold less common than equivalently fit single-nucleotide variants. Notable exceptions are mosaic loss of X and Y, which we estimate have roughly 1,000-fold higher mutation rates than autosomal mCAs. Although the way in which most mCAs increase in prevalence with age is consistent with constant growth rates, some mCAs exhibit different behavior, suggesting that their fitness may depend on inherited variants, extrinsic factors or distributions of fitness effects.
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Affiliation(s)
- Caroline J Watson
- Early Cancer Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, Cambridgeshire, UK.
| | - Jamie R Blundell
- Early Cancer Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, Cambridgeshire, UK.
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30
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Allegra A, Caserta S, Mirabile G, Gangemi S. Aging and Age-Related Epigenetic Drift in the Pathogenesis of Leukemia and Lymphomas: New Therapeutic Targets. Cells 2023; 12:2392. [PMID: 37830606 PMCID: PMC10572300 DOI: 10.3390/cells12192392] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/24/2023] [Accepted: 09/28/2023] [Indexed: 10/14/2023] Open
Abstract
One of the traits of cancer cells is abnormal DNA methylation patterns. The idea that age-related epigenetic changes may partially explain the increased risk of cancer in the elderly is based on the observation that aging is also accompanied by comparable changes in epigenetic patterns. Lineage bias and decreased stem cell function are signs of hematopoietic stem cell compartment aging. Additionally, aging in the hematopoietic system and the stem cell niche have a role in hematopoietic stem cell phenotypes linked with age, such as leukemia and lymphoma. Understanding these changes will open up promising pathways for therapies against age-related disorders because epigenetic mechanisms are reversible. Additionally, the development of high-throughput epigenome mapping technologies will make it possible to identify the "epigenomic identity card" of every hematological disease as well as every patient, opening up the possibility of finding novel molecular biomarkers that can be used for diagnosis, prediction, and prognosis.
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Affiliation(s)
- Alessandro Allegra
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Via Consolare Valeria, 98125 Messina, Italy; (S.C.); (G.M.)
| | - Santino Caserta
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Via Consolare Valeria, 98125 Messina, Italy; (S.C.); (G.M.)
| | - Giuseppe Mirabile
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, Via Consolare Valeria, 98125 Messina, Italy; (S.C.); (G.M.)
| | - Sebastiano Gangemi
- Allergy and Clinical Immunology Unit, Department of Clinical and Experimental Medicine, University of Messina, Via Consolare Valeria, 98125 Messina, Italy;
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31
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Harro CM, Sprenger KB, Chaurio RA, Powers JJ, Innamarato P, Anadon CM, Zhang Y, Biswas S, Mandal G, Mine JA, Cortina C, Nagy MZ, Martin AL, Handley KF, Borjas GJ, Chen PL, Pinilla-Ibarz J, Sokol L, Yu X, Conejo-Garcia JR. Sézary syndrome originates from heavily mutated hematopoietic progenitors. Blood Adv 2023; 7:5586-5602. [PMID: 37531660 PMCID: PMC10514084 DOI: 10.1182/bloodadvances.2022008562] [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: 07/14/2022] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 08/04/2023] Open
Abstract
The pathogenesis of cutaneous T-cell lymphoma (CTCL) remains unclear. Using single-cell RNA or T-cell receptor (TCR) sequencing of 32 619 CD3+CD4+ and CD26+/CD7+ and 29 932 CD3+CD4+ and CD26-/CD7- lymphocytes from the peripheral blood of 7 patients with CTCL, coupled to single-cell ATAC-sequencing of 26,411 CD3+CD4+ and CD26+/CD7+ and 33 841 CD3+CD4+ and CD26-/CD7- lymphocytes, we show that tumor cells in Sézary syndrome and mycosis fungoides (MF) exhibit different phenotypes and trajectories of differentiation. When compared to MF, Sézary cells exhibit narrower repertoires of TCRs and exhibit clonal enrichment. Surprisingly, we identified ≥200 mutations in hematopoietic stem cells from multiple patients with Sézary syndrome. Mutations in key oncogenes were also present in peripheral Sézary cells, which also showed the hallmarks of recent thymic egression. Together our data suggest that CTCL arises from mutated lymphocyte progenitors that acquire TCRs in the thymus, which complete their malignant transformation in the periphery.
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Affiliation(s)
- Carly M. Harro
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, FL
- Cancer Biology PhD Program, College of Arts and Sciences, University of South Florida, Tampa, FL
| | - Kimberly B. Sprenger
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Ricardo A. Chaurio
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Immunology, Duke School of Medicine, Durham, NC
| | - John J. Powers
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Patrick Innamarato
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Carmen M. Anadon
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Immunology, Duke School of Medicine, Durham, NC
| | - Yumeng Zhang
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Subir Biswas
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Kharghar, Navi Mumbai, India
| | - Gunjan Mandal
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Biotechnology, Institute of Life Sciences, Bhubaneswar, India
| | - Jessica A. Mine
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Immunology, Duke School of Medicine, Durham, NC
| | - Carla Cortina
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Mate Z. Nagy
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Alexandra L. Martin
- Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Katelyn F. Handley
- Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Gustavo J. Borjas
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Pei-Ling Chen
- Department of Pathology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Javier Pinilla-Ibarz
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Lubomir Sokol
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Xiaoqing Yu
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Jose R. Conejo-Garcia
- Department of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Immunology, Duke School of Medicine, Durham, NC
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
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32
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Bryukhovetskiy AS, Grivtsova LY, Bogachev SS, Ustyugov AA, Nebogatikov VO, Shurdov MA. Technology of genomic balancing of chromatin of autologous hematopoietic stem cells for gene therapy of fatal immune-mediated diseases of civilization, extended life expectancy and sudden human death prevention. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 172:237-284. [PMID: 37833013 DOI: 10.1016/bs.irn.2023.07.005] [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: 10/15/2023]
Abstract
A biotechnology for personalized ex vivo gene therapy based on molecular genomic balancing of hematopoietic stem cell (HSC) chromatin with nucleosome monomers of human genomic DNA (hDNAnmr) has been developed and implemented in the clinic to change (to "correct") mutant chromosome loci genomes of dominant HSC clones that form mono- and oligoclonal hematopoiesis during aging and major (oncological, cardiovascular, neurodegenerative and autoimmune) fatal immune-mediated diseases of civilization. A fundamentally new biotechnological approach has been applied to the delivery of genetic material into eukaryotic stem and progenitor cells by establishing an artificial "recombinogenic situation" in them to induce homologous recombination (equivalent replacement) of mutant DNA regions with healthy hDNAnmr. In experimental preclinical trials, the effectiveness of genomic balancing technology has been proven to reduce the risk of sudden death in old animals and to increase the lifespan of outbred mice by 30% and Wistar rats by 57%. The improvement in their quality of life, compared with the control, is explained by an increase in the telomeric regions of the HSCs and HPCs chromosomes by 1.5-2 times. The potential of the technology to slow down the hereditary neurodegenerative diseases on the model of amyotrophic lateral sclerosis is shown. The effectiveness of this technology in clinical practice is presented on the example of a terminal patient with stage 4 neuroendocrine cancer. This technology used in the treatment of a number of oncological, neurodegenerative, autoimmune and hereditary diseases with clonal hematopoiesis is able to arrest the progression of the disease, prevent its recurrence, prolong the active life of a person, increase the average life expectancy and prevent sudden death.
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Affiliation(s)
| | - L Yu Grivtsova
- FGBU MRRC named after A.F. Tsyb - Branch of the FGBU National Medical Research Center for Radiology of the Ministry of Health of Russia, Obninsk, Russia
| | - S S Bogachev
- Institute of Cytology and Genetics of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A A Ustyugov
- Research Institute of Biologically Active Substances of the Russian Academy of Sciences, Chernogolovka, Russia
| | - V O Nebogatikov
- Research Institute of Biologically Active Substances of the Russian Academy of Sciences, Chernogolovka, Russia
| | - M A Shurdov
- JSC NeuroVita Clinical Hospital, Moscow, Russia
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33
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Borgsmüller N, Valecha M, Kuipers J, Beerenwinkel N, Posada D. Single-cell phylogenies reveal changes in the evolutionary rate within cancer and healthy tissues. CELL GENOMICS 2023; 3:100380. [PMID: 37719146 PMCID: PMC10504633 DOI: 10.1016/j.xgen.2023.100380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 05/03/2023] [Accepted: 07/18/2023] [Indexed: 09/19/2023]
Abstract
Cell lineages accumulate somatic mutations during organismal development, potentially leading to pathological states. The rate of somatic evolution within a cell population can vary due to multiple factors, including selection, a change in the mutation rate, or differences in the microenvironment. Here, we developed a statistical test called the Poisson Tree (PT) test to detect varying evolutionary rates among cell lineages, leveraging the phylogenetic signal of single-cell DNA sequencing (scDNA-seq) data. We applied the PT test to 24 healthy and cancer samples, rejecting a constant evolutionary rate in 11 out of 15 cancer and five out of nine healthy scDNA-seq datasets. In six cancer datasets, we identified subclonal mutations in known driver genes that could explain the rate accelerations of particular cancer lineages. Our findings demonstrate the efficacy of scDNA-seq for studying somatic evolution and suggest that cell lineages often evolve at different rates within cancer and healthy tissues.
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Affiliation(s)
- Nico Borgsmüller
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, 4058 Basel, Switzerland
| | - Monica Valecha
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Jack Kuipers
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, 4058 Basel, Switzerland
| | - Niko Beerenwinkel
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, 4058 Basel, Switzerland
| | - David Posada
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, 36310 Vigo, Spain
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34
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Middelkamp S, Manders F, Peci F, van Roosmalen MJ, González DM, Bertrums EJ, van der Werf I, Derks LL, Groenen NM, Verheul M, Trabut L, Pleguezuelos-Manzano C, Brandsma AM, Antoniou E, Reinhardt D, Bierings M, Belderbos ME, van Boxtel R. Comprehensive single-cell genome analysis at nucleotide resolution using the PTA Analysis Toolbox. CELL GENOMICS 2023; 3:100389. [PMID: 37719152 PMCID: PMC10504672 DOI: 10.1016/j.xgen.2023.100389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/30/2023] [Accepted: 08/02/2023] [Indexed: 09/19/2023]
Abstract
Detection of somatic mutations in single cells has been severely hampered by technical limitations of whole-genome amplification. Novel technologies including primary template-directed amplification (PTA) significantly improved the accuracy of single-cell whole-genome sequencing (WGS) but still generate hundreds of artifacts per amplification reaction. We developed a comprehensive bioinformatic workflow, called the PTA Analysis Toolbox (PTATO), to accurately detect single base substitutions, insertions-deletions (indels), and structural variants in PTA-based WGS data. PTATO includes a machine learning approach and filtering based on recurrence to distinguish PTA artifacts from true mutations with high sensitivity (up to 90%), outperforming existing bioinformatic approaches. Using PTATO, we demonstrate that hematopoietic stem cells of patients with Fanconi anemia, which cannot be analyzed using regular WGS, have normal somatic single base substitution burdens but increased numbers of deletions. Our results show that PTATO enables studying somatic mutagenesis in the genomes of single cells with unprecedented sensitivity and accuracy.
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Affiliation(s)
- Sjors Middelkamp
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Freek Manders
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Flavia Peci
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Markus J. van Roosmalen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Diego Montiel González
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Eline J.M. Bertrums
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
- Department of Pediatric Oncology, Erasmus Medical Center – Sophia Children’s Hospital, Rotterdam, the Netherlands
| | - Inge van der Werf
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Lucca L.M. Derks
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Niels M. Groenen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Mark Verheul
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Laurianne Trabut
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Cayetano Pleguezuelos-Manzano
- Oncode Institute, Utrecht, the Netherlands
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, Utrecht, the Netherlands
| | - Arianne M. Brandsma
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Evangelia Antoniou
- Department of Pediatric Hematology and Oncology, University Hospital Essen, Essen, Germany
| | - Dirk Reinhardt
- Department of Pediatric Hematology and Oncology, University Hospital Essen, Essen, Germany
| | - Marc Bierings
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | | - Ruben van Boxtel
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
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35
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Culberson JW, Kopel J, Sehar U, Reddy PH. Urgent needs of caregiving in ageing populations with Alzheimer's disease and other chronic conditions: Support our loved ones. Ageing Res Rev 2023; 90:102001. [PMID: 37414157 PMCID: PMC10756323 DOI: 10.1016/j.arr.2023.102001] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/27/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
The ageing process begins at birth. It is a life-long process, and its exact origins are still unknown. Several hypotheses attempt to describe the normal ageing process, including hormonal imbalance, formation of reactive oxygen species, DNA methylation & DNA damage accumulation, loss of proteostasis, epigenetic alterations, mitochondrial dysfunction, senescence, inflammation, and stem cell depletion. With increased lifespan in elderly individuals, the prevalence of age-related diseases including, cancer, diabetes, obesity, hypertension, Alzheimer's, Alzheimer's disease and related dementias, Parkinson's, and other mental illnesses are increased. These increased age-related illnesses, put tremendous pressure & burden on caregivers, family members, and friends who are living with patients with age-related diseases. As medical needs evolve, the caregiver is expected to experience an increase in duties and challenges, which may result in stress on themselves, and impact their own family life. In the current article, we assess the biological mechanisms of ageing and its effect on body systems, exploring lifestyle and ageing, with a specific focus on age-related disorders. We also discussed the history of caregiving and specific challenges faced by caregivers in the presence of multiple comorbidities. We also assessed innovative approaches to funding caregiving, and efforts to improve the medical system to better organize chronic care efforts, while improving the skill and efficiency of both informal and formal caregivers. We also discussed the role of caregiving in end-of-life care. Our critical analysis strongly suggests that there is an urgent need for caregiving in aged populations and support from local, state, and federal agencies.
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Affiliation(s)
- John W Culberson
- Department of Family and Community Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Jonathan Kopel
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Nutritional Sciences Department, College of Human Sciences, Texas Tech University, 1301 Akron Ave, Lubbock, TX 79409, USA; Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Public Health Department of Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
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36
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Machado HE, Øbro NF, Williams N, Tan S, Boukerrou AZ, Davies M, Belmonte M, Mitchell E, Baxter EJ, Mende N, Clay A, Ancliff P, Köglmeier J, Killick SB, Kulasekararaj A, Meyer S, Laurenti E, Campbell PJ, Kent DG, Nangalia J, Warren AJ. Convergent somatic evolution commences in utero in a germline ribosomopathy. Nat Commun 2023; 14:5092. [PMID: 37608017 PMCID: PMC10444798 DOI: 10.1038/s41467-023-40896-5] [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: 10/04/2022] [Accepted: 08/14/2023] [Indexed: 08/24/2023] Open
Abstract
Clonal tracking of cells using somatic mutations permits exploration of clonal dynamics in human disease. Here, we perform whole genome sequencing of 323 haematopoietic colonies from 10 individuals with the inherited ribosomopathy Shwachman-Diamond syndrome to reconstruct haematopoietic phylogenies. In ~30% of colonies, we identify mutually exclusive mutations in TP53, EIF6, RPL5, RPL22, PRPF8, plus chromosome 7 and 15 aberrations that increase SBDS and EFL1 gene dosage, respectively. Target gene mutations commence in utero, resulting in a profusion of clonal expansions, with only a few haematopoietic stem cell lineages (mean 8, range 1-24) contributing ~50% of haematopoietic colonies across 8 individuals (range 4-100% clonality) by young adulthood. Rapid clonal expansion during disease transformation is associated with biallelic TP53 mutations and increased mutation burden. Our study highlights how convergent somatic mutation of the p53-dependent nucleolar surveillance pathway offsets the deleterious effects of germline ribosomopathy but increases opportunity for TP53-mutated cancer evolution.
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Affiliation(s)
| | - Nina F Øbro
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Shengjiang Tan
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Keith Peters Building, Cambridge, UK
| | - Ahmed Z Boukerrou
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Institute for Medical Research, Keith Peters Building, Cambridge, UK
| | - Megan Davies
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Miriam Belmonte
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Emily Mitchell
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - E Joanna Baxter
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Nicole Mende
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Anna Clay
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Philip Ancliff
- Department of Haematology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Jutta Köglmeier
- Department of Haematology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Sally B Killick
- University Hospitals Dorset NHS Foundation Trust, The Royal Bournemouth Hospital, Bournemouth, UK
| | - Austin Kulasekararaj
- Department of Haematological Medicine, King's College Hospital NHS Foundation Trust and King's College London, London, UK
| | - Stefan Meyer
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Cancer Research Centre, Wilmslow Road, Manchester, UK
- Department of Paediatric Haematology and Oncology, Royal Manchester Children's Hospital, Manchester Foundation Trust, Manchester, Oxford Road, Manchester, UK
- Teenage and Adolescent Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, UK
| | - Elisa Laurenti
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | | | - David G Kent
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Department of Haematology, University of Cambridge, Cambridge, UK.
- York Biomedical Research Institute, Department of Biology, University of York, York, UK.
| | - Jyoti Nangalia
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Department of Haematology, University of Cambridge, Cambridge, UK.
| | - Alan J Warren
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Department of Haematology, University of Cambridge, Cambridge, UK.
- Cambridge Institute for Medical Research, Keith Peters Building, Cambridge, UK.
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37
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Stuckey R, Bilbao-Sieyro C, Segura-Díaz A, Gómez-Casares MT. Molecular Studies for the Early Detection of Philadelphia-Negative Myeloproliferative Neoplasms. Int J Mol Sci 2023; 24:12700. [PMID: 37628880 PMCID: PMC10454334 DOI: 10.3390/ijms241612700] [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: 07/23/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
JAK2 V617F is the predominant driver mutation in patients with Philadelphia-negative myeloproliferative neoplasms (MPN). JAK2 mutations are also frequent in clonal hematopoiesis of indeterminate potential (CHIP) in otherwise "healthy" individuals. However, the period between mutation acquisition and MPN diagnosis (known as latency) varies widely between individuals, with JAK2 mutations detectable several decades before diagnosis and even from birth in some individuals. Here, we will review the current evidence on the biological factors, such as additional mutations and chronic inflammation, which influence clonal expansion and may determine why some JAK2-mutated individuals will progress to an overt neoplasm during their lifetime while others will not. We will also introduce several germline variants that predispose individuals to CHIP (as well as MPN) identified from genome-wide association studies. Finally, we will explore possible mutation screening or interventions that could help to minimize MPN-associated cardiovascular complications or even delay malignant progression.
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Affiliation(s)
- Ruth Stuckey
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain; (R.S.); (C.B.-S.); (A.S.-D.)
| | - Cristina Bilbao-Sieyro
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain; (R.S.); (C.B.-S.); (A.S.-D.)
- Morphology Department, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Adrián Segura-Díaz
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain; (R.S.); (C.B.-S.); (A.S.-D.)
| | - María Teresa Gómez-Casares
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain; (R.S.); (C.B.-S.); (A.S.-D.)
- Department of Medical Sciences, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
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38
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Largeaud L, Collin M, Monselet N, Vergez F, Fregona V, Larcher L, Hirsch P, Duployez N, Bidet A, Luquet I, Bustamante J, Dufrechou S, Prade N, Nolla M, Hamelle C, Tavitian S, Habib C, Meynier M, Bellanne-Chantelot C, Donadieu J, De Fontbrune FS, Fieschi C, Ferster A, Delhommeau F, Delabesse E, Pasquet M. Somatic genetic alterations predict hematological progression in GATA2 deficiency. Haematologica 2023; 108:1515-1529. [PMID: 36727400 PMCID: PMC10230419 DOI: 10.3324/haematol.2022.282250] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/19/2023] [Indexed: 02/03/2023] Open
Abstract
Germline GATA2 mutations predispose to myeloid malignancies resulting from the progressive acquisition of additional somatic mutations. Here we describe clinical and biological features of 78 GATA2-deficient patients. Hematopoietic stem and progenitor cell phenotypic characterization revealed an exhaustion of myeloid progenitors. Somatic mutations in STAG2, ASXL1 and SETBP1 genes along with cytogenetic abnormalities (monosomy 7, trisomy 8, der(1;7)) occurred frequently in patients with GATA2 germline mutations. Patients were classified into three hematopoietic spectra based on bone marrow cytomorphology. No somatic additional mutations were detected in patients with normal bone marrow (spectrum 0), whereas clonal hematopoiesis mediated by STAG2 mutations was frequent in those with a hypocellular and/or myelodysplastic bone marrow without excess blasts (spectrum 1). Finally, SETBP1, RAS pathway and RUNX1 mutations were predominantly associated with leukemic transformation stage (spectrum 2), highlighting their implications in the transformation process. Specific somatic alterations, potentially providing distinct selective advantages to affected cells, are therefore associated with the clinical/hematological evolution of GATA2 syndrome. Our study not only suggests that somatic genetic profiling will help clinicians in their management of patients, but will also clarify the mechanism of leukemogenesis in the context of germline GATA2 mutations.
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Affiliation(s)
- Laetitia Largeaud
- Laboratory of Hematology, Institut Universitaire du Cancer de Toulouse, France; Universite de Toulouse, Inserm, CNRS, Universite Toulouse III-Paul Sabatier, Centre de Recherches en Cancerologie de Toulouse, Toulouse
| | - Matthew Collin
- Human Dendritic Cell Laboratory, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne
| | - Nils Monselet
- Department of bioinformatic, Institut Claudius Rigaud, Toulouse
| | - Francois Vergez
- Laboratory of Hematology, Institut Universitaire du Cancer de Toulouse
| | - Vincent Fregona
- Universite de Toulouse, Inserm, CNRS, Universite Toulouse III-Paul Sabatier, Centre de Recherches en Cancerologie de Toulouse, Toulouse
| | - Lise Larcher
- Laboratory of Hematology, Hopital Saint-Louis, APHP
| | - Pierre Hirsch
- Sorbonne Universite, INSERM, Centre de Recherche Saint-Antoine, CRSA, AP-HP, SIRIC CURAMUS, Hopital Saint-Antoine, Service d'Hematologie Biologique, 75012, Paris
| | | | | | - Isabelle Luquet
- Laboratory of Hematology, Institut Universitaire du Cancer de Toulouse
| | - Jacinta Bustamante
- Center for the Study of Primary Immunodeficiencies, Paris Cite University, Necker Hospital for Sick Children, APHP, France; Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Imagine Institute, Paris, France; St Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY
| | | | - Nais Prade
- Laboratory of Hematology, Institut Universitaire du Cancer de Toulouse
| | - Marie Nolla
- Department of Pediatric Hematology and Immunology, CHU Toulouse
| | - Camille Hamelle
- Department of Pediatric Hematology and Immunology, CHU Toulouse
| | | | | | | | | | - Jean Donadieu
- Pediatric Hematology Department, Hopital Trousseau, APHP
| | | | - Claire Fieschi
- Clinical immunology Department, Hopital Saint-Louis, APHP, Universite Paris Cite
| | - Alina Ferster
- Pediatric hematology, Hopital Reine Fabiola, Bruxelles, Belgium
| | - Francois Delhommeau
- Sorbonne Universite, INSERM, Centre de Recherche Saint-Antoine, CRSA, AP-HP, SIRIC CURAMUS, Hopital Saint-Antoine, Service d'Hematologie Biologique, 75012, Paris
| | - Eric Delabesse
- Laboratory of Hematology, Institut Universitaire du Cancer de Toulouse, France; Universite de Toulouse, Inserm, CNRS, Universite Toulouse III-Paul Sabatier, Centre de Recherches en Cancerologie de Toulouse, Toulouse
| | - Marlene Pasquet
- Universite de Toulouse, Inserm, CNRS, Universite Toulouse III-Paul Sabatier, Centre de Recherches en Cancerologie de Toulouse, Toulouse, France; Department of Pediatric Hematology and Immunology, CHU Toulouse.
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39
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Weinstock JS, Gopakumar J, Burugula BB, Uddin MM, Jahn N, Belk JA, Bouzid H, Daniel B, Miao Z, Ly N, Mack TM, Luna SE, Prothro KP, Mitchell SR, Laurie CA, Broome JG, Taylor KD, Guo X, Sinner MF, von Falkenhausen AS, Kääb S, Shuldiner AR, O'Connell JR, Lewis JP, Boerwinkle E, Barnes KC, Chami N, Kenny EE, Loos RJF, Fornage M, Hou L, Lloyd-Jones DM, Redline S, Cade BE, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Qiao D, Palmer ND, Freedman BI, Bowden DW, Cho MH, DeMeo DL, Vasan RS, Yanek LR, Becker LC, Kardia SLR, Peyser PA, He J, Rienstra M, Van der Harst P, Kaplan R, Heckbert SR, Smith NL, Wiggins KL, Arnett DK, Irvin MR, Tiwari H, Cutler MJ, Knight S, Muhlestein JB, Correa A, Raffield LM, Gao Y, de Andrade M, Rotter JI, Rich SS, Tracy RP, Konkle BA, Johnsen JM, Wheeler MM, Smith JG, Melander O, Nilsson PM, Custer BS, Duggirala R, Curran JE, Blangero J, McGarvey S, Williams LK, Xiao S, Yang M, Gu CC, Chen YDI, Lee WJ, Marcus GM, Kane JP, Pullinger CR, Shoemaker MB, Darbar D, Roden DM, Albert C, Kooperberg C, Zhou Y, Manson JE, Desai P, Johnson AD, Mathias RA, Blackwell TW, Abecasis GR, Smith AV, Kang HM, Satpathy AT, Natarajan P, Kitzman JO, Whitsel EA, Reiner AP, Bick AG, Jaiswal S. Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis. Nature 2023; 616:755-763. [PMID: 37046083 PMCID: PMC10360040 DOI: 10.1038/s41586-023-05806-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 02/08/2023] [Indexed: 04/14/2023]
Abstract
Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis1. These lesions are precursors for blood cancers2-6, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but this effect was not seen in clones with driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.
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Affiliation(s)
- Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | | | - Md Mesbah Uddin
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Nikolaus Jahn
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia A Belk
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Hind Bouzid
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Bence Daniel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Zhuang Miao
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Nghi Ly
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Taralynn M Mack
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Sofia E Luna
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Katherine P Prothro
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Shaneice R Mitchell
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
| | - Jai G Broome
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Kent D Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Institute for Translational Genomics and Populations Sciences, Lundquist Institute, Torrance, CA, USA
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Lundquist Institute, Torrance, CA, USA
| | - Moritz F Sinner
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany
| | - Aenne S von Falkenhausen
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany
| | - Stefan Kääb
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany
| | - Alan R Shuldiner
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Jeffrey R O'Connell
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Joshua P Lewis
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
- University of Maryland, Baltimore, MD, USA
| | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- University of Texas Health at Houston, Houston, TX, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nathalie Chami
- The Charles Bronfman Institute of Personalized Medicine, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- Institute for Genomic Health, New York, NY, USA
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute of Personalized Medicine, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Myriam Fornage
- University of Texas Health at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northeastern University, Chicago, IL, USA
| | | | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Brian E Cade
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Bruce M Psaty
- University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Brody
- University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Edwin K Silverman
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jeong H Yun
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dandi Qiao
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest Baptist Health, Winston-Salem, NC, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest Baptist Health, Winston-Salem, NC, USA
| | - Michael H Cho
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dawn L DeMeo
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ramachandran S Vasan
- National Heart Lung and Blood Institute's, Boston University's Framingham Heart Study, Framingham, MA, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | - Lewis C Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- University of Michigan, Ann Arbor, MI, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- University of Michigan, Ann Arbor, MI, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University, New Orleans, LA, USA
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Pim Van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Albert Einstein College of Medicine, New York, NY, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Broad Institute, Cambridge, MA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Donna K Arnett
- College of Public Health, University of Kentucky, Lexington, KY, USA
- University of Kentucky, Lexington, KY, USA
| | | | - Hemant Tiwari
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | - Michael J Cutler
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, USA
| | - Stacey Knight
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, USA
| | - J Brent Muhlestein
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, USA
| | - Adolfo Correa
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Population Health Science, University of Mississippi, Jackson, MS, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yan Gao
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- University of Mississippi, Jackson, MS, USA
| | - Mariza de Andrade
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, Lundquist Institute, Torrance, CA, USA
| | - Stephen S Rich
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- University of Virginia, Charlottesville, VA, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine and Biochemistry, Larner College of Medicine at the University of Vermont, Colchester, VT, USA
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, USA
| | - Barbara A Konkle
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- Blood Works Northwest, Seattle, WA, USA
| | - Jill M Johnsen
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- Research Institute, Bloodworks Northwest, Seattle, WA, USA
| | | | - J Gustav Smith
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University, Gothenburg, Sweden
- Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Olle Melander
- Department of Internal Medicine, Clinical Sciences, Lund University and Skane University Hospital, Malmo, Sweden
| | - Peter M Nilsson
- Department of Internal Medicine, Clinical Sciences, Lund University and Skane University Hospital, Malmo, Sweden
| | | | - Ravindranath Duggirala
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Joanne E Curran
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Stephen McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - L Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
- Henry Ford Health System, Detroit, MI, USA
| | - Shujie Xiao
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Mao Yang
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St Louis, MO, USA
- Washington University in St Louis, St Louis, MO, USA
| | - Yii-Der Ida Chen
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Lundquist Institute, Torrance, CA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Taichung Veterans General Hospital Taiwan, Taichung City, Taiwan
| | - Gregory M Marcus
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | - John P Kane
- Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Clive R Pullinger
- Cardiovascular Research Institute, University of California, San Francisco, USA
| | - M Benjamin Shoemaker
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine and Cardiology, Vanderbilt University, Nashville, TN, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- University of Illinois at Chicago, Chicago, IL, USA
| | - Dan M Roden
- Departments of Medicine, Pharmacology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christine Albert
- Department of Cardiology, Cedars-Sinai, Los Angeles, CA, USA
- Cedars-Sinai, Boston, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ying Zhou
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - JoAnn E Manson
- Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Andrew D Johnson
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | - Thomas W Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Albert V Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hyun M Kang
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Jacob O Kitzman
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Alexander P Reiner
- Broad Institute, Cambridge, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA.
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
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40
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Xie Z, Zeidan AM. CHIPing away the progression potential of CHIP: A new reality in the making. Blood Rev 2023; 58:101001. [PMID: 35989137 DOI: 10.1016/j.blre.2022.101001] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 11/15/2022]
Abstract
Over the past few years, we have gained a deeper understanding of clonal hematopoiesis of indeterminate potential (CHIP), especially with regard to the epidemiology, clinical sequelae, and mechanical aspects. However, interventional strategies to prevent or delay the potential negative consequences of CHIP remain underdeveloped. In this review, we highlight the latest updates on clonal hematopoiesis research, including molecular mechanisms and clinical implications, with a particular focus on the evolving strategies for the interventions that are being evaluated in ongoing observational and interventional trials. There remains an urgent need to formulate standardized and evidence-based recommendations and guidelines for evaluating and managing individuals with clonal hematopoiesis. In addition, patient-centric endpoints must be defined for clinical trials, which will enable us to continue the robust development of effective preventive strategies and improve clinical outcomes.
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Affiliation(s)
- Zhuoer Xie
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Amer M Zeidan
- Section of Hematology, Department of Internal Medicine, Yale Cancer Center and Smilow Cancer Hospital, Yale University School of Medicine, CT, United States.
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41
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Zuriaga MA, Fuster JJ. Emerging Role of Acquired Mutations and Clonal Hematopoiesis in Atherosclerosis - Beyond Conventional Cardiovascular Risk Factors. Circ J 2023; 87:394-400. [PMID: 34433749 DOI: 10.1253/circj.cj-21-0505] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Accumulating evidence suggests that conventional cardiovascular risk factors are incompletely predictive of cardiovascular disease, as a substantial risk remains even when these factors are apparently managed well. In this context, clonal hematopoiesis has emerged as a new and potent risk factor for atherosclerotic cardiovascular disease and other cardiometabolic conditions. Clonal hematopoiesis typically arises from somatic mutations that confer a competitive advantage to a mutant hematopoietic stem cell, leading to its clonal expansion in the stem cell population and its progeny of blood leukocytes. Human sequencing studies and experiments in mice suggest that clonal hematopoiesis, at least when driven by certain mutations, contributes to accelerated atherosclerosis development. However, the epidemiology, biology and clinical implications of this phenomenon remain incompletely understood. Here, we review the current understanding of the connection between clonal hematopoiesis and atherosclerosis, and highlight knowledge gaps in this area of research.
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Affiliation(s)
| | - José J Fuster
- Centro Nacional de Investigaciones Cardiovasculares [CNIC].,CIBER en Enfermedades Cardiovasculares [CIBER-CV]
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42
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Abstract
Aging is associated with increased mutational burden in every tissue studied. Occasionally, fitness-increasing mutations will arise, leading to stem cell clonal expansion. This process occurs in several tissues but has been best studied in blood. Clonal hematopoiesis is associated with an increased risk of blood cancers, such as acute myeloid leukemia, which result if additional cooperating mutations occur. Surprisingly, it is also associated with an increased risk of nonmalignant diseases, such as atherosclerotic cardiovascular disease. This may be due to enhanced inflammation in mutated innate immune cells, which could be targeted clinically with anti-inflammatory drugs. Recent studies have uncovered other factors that predict poor outcomes in patients with clonal hematopoiesis, such as size of the mutant clone, mutated driver genes, and epigenetic aging. Though clonality is inevitable and largely a function of time, recent work has shown that inherited genetic variation can also influence this process. Clonal hematopoiesis provides a paradigm for understanding how age-related changes in tissue stem cell composition and function influence human health.
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Affiliation(s)
- Herra Ahmad
- Department of Pathology, Stanford University, Stanford, California, USA; .,Department of Cardiology, Charité Universitätsmedizin, Berlin, Germany
| | - Nikolaus Jahn
- Department of Pathology, Stanford University, Stanford, California, USA;
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University, Stanford, California, USA; .,Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA.,Institute for Stem Cell Biology & Regenerative Medicine, Stanford University, Stanford, California, USA.,Stanford Cancer Institute, Stanford University, Stanford, California, USA
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43
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Ganz J, Luquette LJ, Bizzotto S, Bohrson CL, Jin H, Miller MB, Zhou Z, Galor A, Park PJ, Walsh CA. Contrasting patterns of somatic mutations in neurons and glia reveal differential predisposition to disease in the aging human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.14.523958. [PMID: 36711756 PMCID: PMC9882228 DOI: 10.1101/2023.01.14.523958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Characterizing the mechanisms of somatic mutations in the brain is important for understanding aging and disease, but little is known about the mutational patterns of different cell types. We performed whole-genome sequencing of 71 oligodendrocytes and 51 neurons from neurotypical individuals (0.4 to 104 years old) and identified >67,000 somatic single nucleotide variants (sSNVs) and small insertions and deletions (indels). While both cell types accumulate mutations with age, oligodendrocytes accumulate sSNVs 69% faster than neurons (27/year versus 16/year) whereas indels accumulate 42% slower (1.8/year versus 3.1/year). Correlation with single-cell RNA and chromatin accessibility from the same brains revealed that oligodendrocyte mutations are enriched in inactive genomic regions and are distributed similarly to mutations in brain cancers. In contrast, neuronal mutations are enriched in open, transcriptionally active chromatin. These patterns highlight differences in the mutagenic processes in glia and neurons and suggest cell type-specific, age-related contributions to neurodegeneration and oncogenesis.
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Affiliation(s)
- Javier Ganz
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Lovelace J. Luquette
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Sara Bizzotto
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Sorbonne Université, Institut du Cerveau (Paris Brain Institute) ICM, Inserm, CNRS, Ho pital de la Pitié Salpe triére, Paris, France
| | - Craig L. Bohrson
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Michael B. Miller
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Departments of Pathology and Neurology, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Zinan Zhou
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Alon Galor
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Peter J. Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Christopher A. Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
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44
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Grave-to-cradle: human embryonic lineage tracing from the postmortem body. Exp Mol Med 2023; 55:13-21. [PMID: 36599930 PMCID: PMC9898511 DOI: 10.1038/s12276-022-00912-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/02/2022] [Accepted: 10/13/2022] [Indexed: 01/06/2023] Open
Abstract
Curiosity concerning the process of human creation has been around for a long time. Relevant questions seemed to be resolved with the knowledge of how cells divide after fertilization obtained through in vitro fertilization experiments. However, we still do not know how human life is created at the cellular level. Recently, the value of cadavers as a resource from which to obtain "normal" cells and tissues has been established, and human research using postmortem bodies has attracted growing scientific attention. As the human genome can be analyzed at the level of nucleotides through whole-genome sequencing, individual cells in a postmortem body can be traced back to determine what developmental processes have transpired from fertilization. These retrospective lineage tracing studies have answered several unsolved questions on how humans are created. This review covers the methodologies utilized in lineage tracing research in a historical context and the conceptual basis for reconstructing the division history of cells in a retrospective manner using postzygotic somatic variants in postmortem tissue. We further highlight answers that postmortem research could potentially address and discuss issues that wait to be solved in the future.
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45
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Solís-Moruno M, Batlle-Masó L, Bonet N, Aróstegui JI, Casals F. Somatic genetic variation in healthy tissue and non-cancer diseases. Eur J Hum Genet 2023; 31:48-54. [PMID: 36289407 PMCID: PMC9823099 DOI: 10.1038/s41431-022-01213-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 09/19/2022] [Accepted: 10/03/2022] [Indexed: 02/08/2023] Open
Abstract
Somatic genetic variants have been studied for several years mostly concerning cancer, where they contribute to its origin and development. It is also clear that the somatic variants load is greater in aged individuals in comparison to younger ones, pointing to a cause/consequence of the senescence process. More recently, researchers have focused on the role of this type of variation in healthy tissue and its dynamics in cell lineages and different organs. In addition, somatic variants have been described to contribute to monogenic diseases, and the number of evidences of their role in complex disorders is also increasing. Thanks to recent advances in next-generation sequencing technologies, this type of genetic variation can be now more easily studied than in the past, although we still face some important limitations. Novel strategies for sampling, sequencing and filtering are being investigated to detect these variants, although validating them with an orthogonal approach will most likely still be needed. In this review, we aim to update our knowledge of somatic variation detection and its relation to healthy tissue and non-cancer diseases.
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Affiliation(s)
- Manuel Solís-Moruno
- grid.5612.00000 0001 2172 2676Institut de Biologia Evolutiva (CSIC-UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Doctor Aiguader 88, Barcelona, Spain ,grid.5612.00000 0001 2172 2676Genomics Core Facility, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, 08003 Barcelona, Spain ,grid.410458.c0000 0000 9635 9413Department of Immunology, Hospital Clínic, Barcelona, Spain ,grid.10403.360000000091771775Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Laura Batlle-Masó
- grid.7080.f0000 0001 2296 0625Pediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Universitari Vall d’Hebron (HUVH), Vall d’Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Núria Bonet
- grid.5612.00000 0001 2172 2676Genomics Core Facility, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, 08003 Barcelona, Spain
| | - Juan I. Aróstegui
- grid.410458.c0000 0000 9635 9413Department of Immunology, Hospital Clínic, Barcelona, Spain ,grid.10403.360000000091771775Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain ,grid.5841.80000 0004 1937 0247Universitat de Barcelona, Barcelona, Spain
| | - Ferran Casals
- grid.5612.00000 0001 2172 2676Genomics Core Facility, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, 08003 Barcelona, Spain ,grid.5841.80000 0004 1937 0247Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
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46
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Zhang Z, Sun J. The Origin of Clonal Hematopoiesis and Its Implication in Human Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1442:65-83. [PMID: 38228959 DOI: 10.1007/978-981-99-7471-9_5] [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: 01/18/2024]
Abstract
Clonal expansion of hematopoietic cells is first observed in hematological malignancies where all the leukemic cells can be traced back to a single cell carrying oncogenic alterations. Interestingly, expansion of hematopoietic clones with defined genomic alterations, including single nucleotide variants (SNVs), small insertions and deletions (indels), and large structural chromosomal alterations (CAs), is also found in the healthy population. These genomic changes often affect leukemia driver genes. As a result, healthy individuals bearing such clonal hematopoiesis (CH) are at a higher risk of hematological malignancies. In addition to blood cancers, SNV/indel-related CH has been found associated with elevated cardiovascular and all-cause mortality, indicating adverse impacts of abnormalities in the blood on the normal functions of non-hematological tissues. In the past decade, much effort has been invested in understanding the origins of CH and its causal relationship with diseases in hematological and non-hematological tissues. Here, we review recent progress in these areas and discuss future directions that can be pursued to translate the acquired knowledge into better management of CH-related diseases.
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Affiliation(s)
- Zhen Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jianlong Sun
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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47
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Skulimowska I, Sosniak J, Gonka M, Szade A, Jozkowicz A, Szade K. The biology of hematopoietic stem cells and its clinical implications. FEBS J 2022; 289:7740-7759. [PMID: 34496144 DOI: 10.1111/febs.16192] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 04/19/2021] [Accepted: 09/07/2021] [Indexed: 01/14/2023]
Abstract
Hematopoietic stem cells (HSCs) give rise to all types of blood cells and self-renew their own population. The regeneration potential of HSCs has already been successfully translated into clinical applications. However, recent studies on the biology of HSCs may further extend their clinical use in future. The roles of HSCs in native hematopoiesis and in transplantation settings may differ. Furthermore, the heterogenic pool of HSCs dynamically changes during aging. These changes also involve the complex interactions of HSCs with the bone marrow niche. Here, we review the opportunities and challenges of these findings to improve the clinical use of HSCs. We describe new methods of HSCs mobilization and conditioning for the transplantation of HSCs. Finally, we highlight the research findings that may lead to overcoming the current limitations of HSC transplantation and broaden the patient group that can benefit from the clinical potential of HSCs.
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Affiliation(s)
- Izabella Skulimowska
- Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
| | - Justyna Sosniak
- Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
| | - Monika Gonka
- Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
| | - Agata Szade
- Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
| | - Alicja Jozkowicz
- Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
| | - Krzysztof Szade
- Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
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48
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The development of therapy related myeloid neoplasms in childhood cancer survivors. Trends Cancer 2022; 8:790-791. [PMID: 36085133 DOI: 10.1016/j.trecan.2022.08.004] [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: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 11/24/2022]
Abstract
Childhood cancer survivors exposed to chemotherapy show signs of accelerated aging and are at risk of developing secondary malignancies; however, the mechanisms responsible for these long-term adverse effects are not clear. In a recent study, Bertrums et al. show that exposure to chemotherapy results in an increase in mutational age of normal hematopoietic stem cells.
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49
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Ren P, Dong X, Vijg J. Age-related somatic mutation burden in human tissues. FRONTIERS IN AGING 2022; 3:1018119. [PMID: 36213345 PMCID: PMC9534562 DOI: 10.3389/fragi.2022.1018119] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 08/26/2022] [Indexed: 11/16/2022]
Abstract
The genome of multicellular organisms carries the hereditary information necessary for the development of all organs and tissues and to maintain function in adulthood. To ensure the genetic stability of the species, genomes are protected against changes in sequence information. However, genomes are not static. De novo mutations in germline cells are passed on to offspring and generate the variation needed in evolution. Moreover, postzygotic mutations occur in all somatic cells during development and aging. These somatic mutations remain limited to the individual, generating tissues that are genome mosaics. Insight into such mutations and their consequences has been limited due to their extremely low abundance, with most mutations unique for each cell. Recent advances in sequencing, including whole genome sequencing at the single-cell level, have now led to the first insights into somatic mutation burdens in human tissues. Here, we will first briefly describe the latest methodology for somatic mutation analysis, then review our current knowledge of somatic mutation burden in human tissues and, finally, briefly discuss the possible functional impact of somatic mutations on the aging process and age-related diseases, including cancer and diseases other than cancer.
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Affiliation(s)
- Peijun Ren
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Peijun Ren, ; Xiao Dong, ; Jan Vijg, ,
| | - Xiao Dong
- Department of Genetics, Cell Biology and Development, Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, United States,*Correspondence: Peijun Ren, ; Xiao Dong, ; Jan Vijg, ,
| | - Jan Vijg
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Department of Genetics, Albert Einstein College of Medicine, New York City, NY, United States,*Correspondence: Peijun Ren, ; Xiao Dong, ; Jan Vijg, ,
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50
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Kim JH, Hwang S, Son H, Kim D, Kim IB, Kim MH, Sim NS, Kim DS, Ha YJ, Lee J, Kang HC, Lee JH, Kim S. Analysis of low-level somatic mosaicism reveals stage and tissue-specific mutational features in human development. PLoS Genet 2022; 18:e1010404. [PMID: 36121845 PMCID: PMC9560606 DOI: 10.1371/journal.pgen.1010404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 10/13/2022] [Accepted: 08/31/2022] [Indexed: 11/18/2022] Open
Abstract
Most somatic mutations that arise during normal development are present at low levels in single or multiple tissues depending on the developmental stage and affected organs. However, the effect of human developmental stages or mutations of different organs on the features of somatic mutations is still unclear. Here, we performed a systemic and comprehensive analysis of low-level somatic mutations using deep whole-exome sequencing (average read depth ~500×) of 498 multiple organ tissues with matched controls from 190 individuals. Our results showed that early clone-forming mutations shared between multiple organs were lower in number but showed higher allele frequencies than late clone-forming mutations [0.54 vs. 5.83 variants per individual; 6.17% vs. 1.5% variant allele frequency (VAF)] along with less nonsynonymous mutations and lower functional impacts. Additionally, early and late clone-forming mutations had unique mutational signatures that were distinct from mutations that originated from tumors. Compared with early clone-forming mutations that showed a clock-like signature across all organs or tissues studied, late clone-forming mutations showed organ, tissue, and cell-type specificity in the mutation counts, VAFs, and mutational signatures. In particular, analysis of brain somatic mutations showed a bimodal occurrence and temporal-lobe-specific signature. These findings provide new insights into the features of somatic mosaicism that are dependent on developmental stage and brain regions. Most somatic mutations that arise during normal development are present at low levels in single or multiple tissues, and often show a degree of clonality depending on the time and origin of the mutation. Recent studies have identified the characteristics of postzygotic variants of somatic mutations at the single-cell or mono-clonal levels. However, the results may not be fully representative of the mutational processes involved. Here, we describe a comprehensive analysis of low-level somatic mutations identified after deep whole-exome sequencing in peripheral and brain tissues. We found that clone-forming mutations are uniquely defined by early and late-stage aspects in the mutational profiles. Thus, we identified reliable spatiotemporal characteristics of mosaic variants. Additionally, we found low-level clone-forming mosaic variants across multiple stages and tissues, and identified their intrinsic features.
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Affiliation(s)
- Ja Hye Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Shinwon Hwang
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Medicine, Physician-Scientist Program, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyeonju Son
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dongsun Kim
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Il Bin Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
- Department of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Myeong-Heui Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
- SoVarGen Inc., Daejeon, Republic of Korea
| | - Nam Suk Sim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong Seok Kim
- Department of Neurosurgery, Pediatric Neurosurgery, Severance Children’s Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yoo-Jin Ha
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Junehawk Lee
- Center for Supercomputing Applications, National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
| | - Hoon-Chul Kang
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Epilepsy Clinics, Severance Children’s Hospital, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong Ho Lee
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
- SoVarGen Inc., Daejeon, Republic of Korea
- * E-mail: (J.H.L.); (S.K.)
| | - Sangwoo Kim
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea
- * E-mail: (J.H.L.); (S.K.)
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