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Korenjak M, Temiz NA, Keita S, Chavanel B, Renard C, Sirand C, Cahais V, Mayel T, Vevang KR, Jacobs FC, Guo J, Smith WE, Oram MK, Tăbăran FA, Ahlat O, Cornax I, O'Sullivan MG, Das S, Nandi SP, Cheng Y, Alexandrov LB, Balbo S, Hecht SS, Senkin S, Virard F, Peterson LA, Zavadil J. Human cancer genomes harbor the mutational signature of tobacco-specific nitrosamines NNN and NNK. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.28.600253. [PMID: 38979250 PMCID: PMC11230374 DOI: 10.1101/2024.06.28.600253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Tobacco usage is linked to multiple cancer types and accounts for a quarter of all cancer-related deaths. Tobacco smoke contains various carcinogenic compounds, including polycyclic aromatic hydrocarbons (PAH), though the mutagenic potential of many tobacco-related chemicals remains largely unexplored. In particular, the highly carcinogenic tobacco-specific nitrosamines NNN and NNK form pre-mutagenic pyridyloxobutyl (POB) DNA adducts. In the study presented here, we identified genome-scale POB-induced mutational signatures in cell lines and rat tumors, while also investigating their role in human cancer. These signatures are characterized by T>N and C>T mutations forming from specific POB adducts damaging dT and dC residues. Analysis of 2,780 cancer genomes uncovered POB signatures in ∼180 tumors; from cancer types distinct from the ones linked to smoking-related signatures SBS4 and SBS92. This suggests that, unlike PAH compounds, the POB pathway may contribute uniquely to the mutational landscapes of certain hematological malignancies and cancers of the kidney, breast, prostate and pancreas.
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Coorens THH, Spencer Chapman M, Williams N, Martincorena I, Stratton MR, Nangalia J, Campbell PJ. Reconstructing phylogenetic trees from genome-wide somatic mutations in clonal samples. Nat Protoc 2024; 19:1866-1886. [PMID: 38396041 DOI: 10.1038/s41596-024-00962-8] [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: 11/23/2022] [Accepted: 12/13/2023] [Indexed: 02/25/2024]
Abstract
Phylogenetic trees are a powerful means to display the evolutionary history of species, pathogens and, more recently, individual cells of the human body. Whole-genome sequencing of laser capture microdissections or expanded stem cells has allowed the discovery of somatic mutations in clones, which can be used as natural barcodes to reconstruct the developmental history of individual cells. Here we describe Sequoia, our pipeline to reconstruct lineage trees from clones of normal cells. Candidate somatic mutations are called against the human reference genome and filtered to exclude germline mutations and artifactual variants. These filtered somatic mutations form the basis for phylogeny reconstruction using a maximum parsimony framework. Lastly, we use a maximum likelihood framework to explicitly map mutations to branches in the phylogenetic tree. The resulting phylogenies can then serve as a basis for many subsequent analyses, including investigating embryonic development, tissue dynamics in health and disease, and mutational signatures. Sequoia can be readily applied to any clonal somatic mutation dataset, including single-cell DNA sequencing datasets, using the commands and scripts provided. Moreover, Sequoia is highly flexible and can be easily customized. Typically, the runtime of the core script ranges from minutes to an hour for datasets with a moderate number (50,000-150,000) of variants. Competent bioinformatic skills, including in-depth knowledge of the R programming language, are required. A high-performance computing cluster (one that is capable of running mutation-calling algorithms and other aspects of the analysis at scale) is also required, especially if handling large datasets.
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Affiliation(s)
- Tim H H Coorens
- Wellcome Sanger Institute, Hinxton, UK.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Michael Spencer Chapman
- Wellcome Sanger Institute, Hinxton, UK.
- Department of Haematology, Barts Health NHS Trust, London, UK.
- Department of Haemato-oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.
| | | | | | | | - Jyoti Nangalia
- Wellcome Sanger Institute, Hinxton, UK
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Peter J Campbell
- Wellcome Sanger Institute, Hinxton, UK.
- Wellcome-Medical Research Council Cambridge Stem Cell Institute, Cambridge, UK.
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3
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Bhartiya D, Raouf S, Pansare K, Tripathi A, Tripathi A. Initiation of Cancer: The Journey From Mutations in Somatic Cells to Epigenetic Changes in Tissue-resident VSELs. Stem Cell Rev Rep 2024; 20:857-880. [PMID: 38457060 DOI: 10.1007/s12015-024-10694-7] [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] [Accepted: 02/09/2024] [Indexed: 03/09/2024]
Abstract
Multiple theories exist to explain cancer initiation, although a consensus on this is crucial for developing effective therapies. 'Somatic mutation theory' suggests that mutations in somatic cells during DNA repair initiates cancer but this concept has several attached paradoxes. Research efforts to identify quiescent cancer stem cells (CSCs) that survive therapy and result in metastasis and recurrence have remained futile. In solid cancers, CSCs are suggested to appear during epithelial-mesenchymal transition by the dedifferentiation and reprogramming of epithelial cells. Pluripotent and quiescent very small embryonic-like stem cells (VSELs) exist in multiple tissues but remain elusive owing to their small size and scarce nature. VSELs are developmentally connected to primordial germ cells, undergo rare, asymmetrical cell divisions and are responsible for the regular turnover of cells to maintain tissue homeostasis throughout life. VSELs are directly vulnerable to extrinsic endocrine insults because they express gonadal and gonadotropin hormone receptors. VSELs undergo epigenetic changes due to endocrine insults and transform into CSCs. CSCs exhibit genomic instability and develop mutations due to errors during DNA replication while undergoing excessive proliferation and clonal expansion to form spheroids. Thus tissue-resident VSELs offer a connection between extrinsic insults and variations in cancer incidence reported in various body tissues. To conclude, cancer is indeed a stem cell disease with mutations occurring as a consequence. In addition to immunotherapy, targeting mutations, and Lgr5 + organoids for developing new therapeutics, targeting CSCs (epigenetically altered VSELs) by improving their niche and epigenetic status could serve as a promising strategy to treat cancer.
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Affiliation(s)
- Deepa Bhartiya
- Epigeneres Biotech Pvt Ltd, Todi Mill Compound, Senapati Bapat Marg, Lower Parel, 400013, Mumbai, India.
| | | | - Kshama Pansare
- Epigeneres Biotech Pvt Ltd, Todi Mill Compound, Senapati Bapat Marg, Lower Parel, 400013, Mumbai, India
| | - Anish Tripathi
- Epigeneres Biotech Pvt Ltd, Todi Mill Compound, Senapati Bapat Marg, Lower Parel, 400013, Mumbai, India
| | - Ashish Tripathi
- Epigeneres Biotech Pvt Ltd, Todi Mill Compound, Senapati Bapat Marg, Lower Parel, 400013, Mumbai, India
- 23Ikigai Pte Ltd, 30 Cecil Street, #21-08 Prudentsial Tower, Singapore, 049712, Singapore
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Waldvogel SM, Posey JE, Goodell MA. Human embryonic genetic mosaicism and its effects on development and disease. Nat Rev Genet 2024:10.1038/s41576-024-00715-z. [PMID: 38605218 DOI: 10.1038/s41576-024-00715-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2024] [Indexed: 04/13/2024]
Abstract
Nearly every mammalian cell division is accompanied by a mutational event that becomes fixed in a daughter cell. When carried forward to additional cell progeny, a clone of variant cells can emerge. As a result, mammals are complex mosaics of clones that are genetically distinct from one another. Recent high-throughput sequencing studies have revealed that mosaicism is common, clone sizes often increase with age and specific variants can affect tissue function and disease development. Variants that are acquired during early embryogenesis are shared by multiple cell types and can affect numerous tissues. Within tissues, variant clones compete, which can result in their expansion or elimination. Embryonic mosaicism has clinical implications for genetic disease severity and transmission but is likely an under-recognized phenomenon. To better understand its implications for mosaic individuals, it is essential to leverage research tools that can elucidate the mechanisms by which expanded embryonic variants influence development and disease.
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Affiliation(s)
- Sarah M Waldvogel
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA
- Graduate Program in Cancer and Cell Biology, Baylor College of Medicine, Houston, TX, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Margaret A Goodell
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
- Graduate Program in Cancer and Cell Biology, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
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5
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Park S, Laskow TC, Chen J, Guha P, Dawn B, Kim D. Microphysiological systems for human aging research. Aging Cell 2024; 23:e14070. [PMID: 38180277 PMCID: PMC10928588 DOI: 10.1111/acel.14070] [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: 06/30/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 01/06/2024] Open
Abstract
Recent advances in microphysiological systems (MPS), also known as organs-on-a-chip (OoC), enable the recapitulation of more complex organ and tissue functions on a smaller scale in vitro. MPS therefore provide the potential to better understand human diseases and physiology. To date, numerous MPS platforms have been developed for various tissues and organs, including the heart, liver, kidney, blood vessels, muscle, and adipose tissue. However, only a few studies have explored using MPS platforms to unravel the effects of aging on human physiology and the pathogenesis of age-related diseases. Age is one of the risk factors for many diseases, and enormous interest has been devoted to aging research. As such, a human MPS aging model could provide a more predictive tool to understand the molecular and cellular mechanisms underlying human aging and age-related diseases. These models can also be used to evaluate preclinical drugs for age-related diseases and translate them into clinical settings. Here, we provide a review on the application of MPS in aging research. First, we offer an overview of the molecular, cellular, and physiological changes with age in several tissues or organs. Next, we discuss previous aging models and the current state of MPS for studying human aging and age-related conditions. Lastly, we address the limitations of current MPS and present future directions on the potential of MPS platforms for human aging research.
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Affiliation(s)
- Seungman Park
- Department of Mechanical EngineeringUniversity of Nevada, Las VegasLas VegasNevadaUSA
| | - Thomas C. Laskow
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Jingchun Chen
- Nevada Institute of Personalized MedicineUniversity of Nevada, Las VegasLas VegasNevadaUSA
| | - Prasun Guha
- Nevada Institute of Personalized MedicineUniversity of Nevada, Las VegasLas VegasNevadaUSA
- School of Life SciencesUniversity of Nevada, Las VegasLas VegasNevadaUSA
| | - Buddhadeb Dawn
- Department of Internal Medicine, Kirk Kerkorian School of MedicineUniversity of Nevada, Las VegasLas VegasNevadaUSA
| | - Deok‐Ho Kim
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMarylandUSA
- Center for Microphysiological SystemsJohns Hopkins UniversityBaltimoreMarylandUSA
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Chae J, Jung SH, Choi EJ, Kim JW, Kim NY, Moon SW, Lee JY, Chung YJ, Lee SH. Spatial architectures of somatic mutations in normal prostate, benign prostatic hyperplasia and coexisting prostate cancer. Exp Mol Med 2024; 56:168-176. [PMID: 38172600 PMCID: PMC10834420 DOI: 10.1038/s12276-023-01140-8] [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: 07/05/2023] [Revised: 10/03/2023] [Accepted: 10/16/2023] [Indexed: 01/05/2024] Open
Abstract
This study aimed to identify somatic mutations in nontumor cells (NSMs) in normal prostate and benign prostatic hyperplasia (BPH) and to determine their relatedness to prostate cancer (PCA). From 22 PCA patients, two prostates were sampled for 3-dimensional mapping (50 normal, 46 BPH and 1 PCA samples), and 20 prostates were trio-sampled (two normal or BPH samples and one PCA sample) and analyzed by whole-genome sequencing. Normal and BPH tissues harbored several driver NSMs and copy number alterations (CNAs), including in FOXA1, but the variations exhibited low incidence, rare recurrence, and rare overlap with PCAs. CNAs, structural variants, and mutation signatures were similar between normal and BPH samples, while BPHs harbored a higher mutation burden, shorter telomere length, larger clone size, and more private NSMs than normal prostates. We identified peripheral-zonal dominance and right-side asymmetry in NSMs, but the asymmetry was heterogeneous between samples. In one normal prostate, private oncogenic RAS-signaling NSMs were detected, suggesting convergence in clonal maintenance. Early embryonic mutations exhibited two distinct distributions, characterized as layered and mixed patterns. Our study identified that the BPH genome differed from the normal prostate genome but was still closer to the normal genome than to the PCA genome, suggesting that BPH might be more related to aging or environmental stress than to tumorigenic processes.
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Affiliation(s)
- Jeesoo Chae
- Department of Cancer Evolution Research Center, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
- Department of Biochemistry, College of Medicine, Ewha Womans University, 07804, Seoul, South Korea
| | - Seung-Hyun Jung
- Department of Biochemistry, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
- Integrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
| | - Eun Ji Choi
- Department of Pathology, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
| | - Jae Woong Kim
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
- Department of Pathology, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
| | - Na Yung Kim
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
| | - Sung Won Moon
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
- Department of Pathology, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
| | - Ji Youl Lee
- Department of Urology, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea
| | - Yeun-Jun Chung
- Department of Cancer Evolution Research Center, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea.
- Integrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea.
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea.
- Department of Microbiology, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea.
| | - Sug Hyung Lee
- Department of Cancer Evolution Research Center, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea.
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea.
- Department of Pathology, College of Medicine, The Catholic University of Korea, 06591, Seoul, South Korea.
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7
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Xue Y, Su Z, Lin X, Ho MK, Yu KHO. Single-cell lineage tracing with endogenous markers. Biophys Rev 2024; 16:125-139. [PMID: 38495438 PMCID: PMC10937880 DOI: 10.1007/s12551-024-01179-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/18/2024] [Indexed: 03/19/2024] Open
Abstract
Resolving lineage relationships between cells in an organism provides key insights into the fate of individual cells and drives a fundamental understanding of the process of development and disease. A recent rapid increase in experimental and computational advances for detecting naturally occurring somatic nuclear and mitochondrial mutation at single-cell resolution has expanded lineage tracing from model organisms to humans. This review discusses the advantages and challenges of experimental and computational techniques for cell lineage tracing using somatic mutation as endogenous DNA barcodes to decipher the relationships between cells during development and tumour evolution. We outlook the advantages of spatial clonal evolution analysis and single-cell lineage tracing using endogenous genetic markers.
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Affiliation(s)
- Yan Xue
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China
| | - Zezhuo Su
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China
- Department of Orthopaedics and Traumatology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xinyi Lin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Mun Kay Ho
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Ken H. O. Yu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China
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8
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Vicario R, Fragkogianni S, Weber L, Lazarov T, Hu Y, Hayashi SY, Craddock BP, Socci ND, Alberdi A, Baako A, Ay O, Ogishi M, Lopez-Rodrigo E, Kappagantula R, Viale A, Iacobuzio-Donahue CA, Zhou T, Ransohoff RM, Chesworth R, Bank NB, Abdel-Wahab O, Boisson B, Elemento O, Casanova JL, Miller WT, Geissmann F. A microglia clonal inflammatory disorder in Alzheimer's Disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.25.577216. [PMID: 38328106 PMCID: PMC10849735 DOI: 10.1101/2024.01.25.577216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Somatic genetic heterogeneity resulting from post-zygotic DNA mutations is widespread in human tissues and can cause diseases, however few studies have investigated its role in neurodegenerative processes such as Alzheimer's Disease (AD). Here we report the selective enrichment of microglia clones carrying pathogenic variants, that are not present in neuronal, glia/stromal cells, or blood, from patients with AD in comparison to age-matched controls. Notably, microglia-specific AD-associated variants preferentially target the MAPK pathway, including recurrent CBL ring-domain mutations. These variants activate ERK and drive a microglia transcriptional program characterized by a strong neuro-inflammatory response, both in vitro and in patients. Although the natural history of AD-associated microglial clones is difficult to establish in human, microglial expression of a MAPK pathway activating variant was previously shown to cause neurodegeneration in mice, suggesting that AD-associated neuroinflammatory microglial clones may contribute to the neurodegenerative process in patients.
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Affiliation(s)
- Rocio Vicario
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Stamatina Fragkogianni
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Leslie Weber
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Tomi Lazarov
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Yang Hu
- Department of Physiology and Biophysics, Institute for Compxutational Biomedicine,Weill Cornell New York, NY 10021, USA
| | - Samantha Y. Hayashi
- Department of Physiology and Biophysics, Stony Brook University School of Medicine, Stony Brook, NY, 11794-8661
| | - Barbara P. Craddock
- Department of Physiology and Biophysics, Stony Brook University School of Medicine, Stony Brook, NY, 11794-8661
| | - Nicholas D. Socci
- Marie-Josée & Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Araitz Alberdi
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Ann Baako
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Oyku Ay
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Masato Ogishi
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, 10065 NY, USA
| | - Estibaliz Lopez-Rodrigo
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Rajya Kappagantula
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Agnes Viale
- Marie-Josée & Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Christine A. Iacobuzio-Donahue
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Ting Zhou
- SKI Stem Cell Research Core, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | | | | | | | - Omar Abdel-Wahab
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Bertrand Boisson
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, 10065 NY, USA
| | - Olivier Elemento
- Department of Physiology and Biophysics, Institute for Compxutational Biomedicine,Weill Cornell New York, NY 10021, USA
| | - Jean-Laurent Casanova
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, 10065 NY, USA
| | - W. Todd Miller
- Department of Physiology and Biophysics, Stony Brook University School of Medicine, Stony Brook, NY, 11794-8661
| | - Frederic Geissmann
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
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Waseem M, Wang BD. Organoids: An Emerging Precision Medicine Model for Prostate Cancer Research. Int J Mol Sci 2024; 25:1093. [PMID: 38256166 PMCID: PMC10816550 DOI: 10.3390/ijms25021093] [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: 12/08/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
Prostate cancer (PCa) has been known as the most prevalent cancer disease and the second leading cause of cancer mortality in men almost all over the globe. There is an urgent need for establishment of PCa models that can recapitulate the progress of genomic landscapes and molecular alterations during development and progression of this disease. Notably, several organoid models have been developed for assessing the complex interaction between PCa and its surrounding microenvironment. In recent years, PCa organoids have been emerged as powerful in vitro 3D model systems that recapitulate the molecular features (such as genomic/epigenomic changes and tumor microenvironment) of PCa metastatic tumors. In addition, application of organoid technology in mechanistic studies (i.e., for understanding cellular/subcellular and molecular alterations) and translational medicine has been recognized as a promising approach for facilitating the development of potential biomarkers and novel therapeutic strategies. In this review, we summarize the application of PCa organoids in the high-throughput screening and establishment of relevant xenografts for developing novel therapeutics for metastatic, castration resistant, and neuroendocrine PCa. These organoid-based studies are expected to expand our knowledge from basic research to clinical applications for PCa diseases. Furthermore, we also highlight the optimization of PCa cultures and establishment of promising 3D organoid models for in vitro and in vivo investigations, ultimately facilitating mechanistic studies and development of novel clinical diagnosis/prognosis and therapies for PCa.
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Affiliation(s)
- Mohammad Waseem
- Department of Pharmaceutical Sciences, School of Pharmacy and Health Professions, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA;
| | - Bi-Dar Wang
- Department of Pharmaceutical Sciences, School of Pharmacy and Health Professions, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA;
- Hormone Related Cancers Program, University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore, MD 21201, USA
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10
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Li Z, Yang W, Wu P, Shan Y, Zhang X, Chen F, Yang J, Yang JR. Reconstructing cell lineage trees with genomic barcoding: approaches and applications. J Genet Genomics 2024; 51:35-47. [PMID: 37269980 DOI: 10.1016/j.jgg.2023.05.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/19/2023] [Accepted: 05/20/2023] [Indexed: 06/05/2023]
Abstract
In multicellular organisms, developmental history of cell divisions and functional annotation of terminal cells can be organized into a cell lineage tree (CLT). The reconstruction of the CLT has long been a major goal in developmental biology and other related fields. Recent technological advancements, especially those in editable genomic barcodes and single-cell high-throughput sequencing, have sparked a new wave of experimental methods for reconstructing CLTs. Here we review the existing experimental approaches to the reconstruction of CLT, which are broadly categorized as either image-based or DNA barcode-based methods. In addition, we present a summary of the related literature based on the biological insight provided by the obtained CLTs. Moreover, we discuss the challenges that will arise as more and better CLT data become available in the near future. Genomic barcoding-based CLT reconstructions and analyses, due to their wide applicability and high scalability, offer the potential for novel biological discoveries, especially those related to general and systemic properties of the developmental process.
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Affiliation(s)
- Zizhang Li
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Wenjing Yang
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Peng Wu
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yuyan Shan
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xiaoyu Zhang
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Feng Chen
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Junnan Yang
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Jian-Rong Yang
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
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11
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Al Zouabi L, Stefanutti M, Roumeliotis S, Le Meur G, Boumard B, Riddiford N, Rubanova N, Bohec M, Gervais L, Servant N, Bardin AJ. Molecular underpinnings and environmental drivers of loss of heterozygosity in Drosophila intestinal stem cells. Cell Rep 2023; 42:113485. [PMID: 38032794 DOI: 10.1016/j.celrep.2023.113485] [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: 08/03/2022] [Revised: 09/29/2023] [Accepted: 11/08/2023] [Indexed: 12/02/2023] Open
Abstract
During development and aging, genome mutation leading to loss of heterozygosity (LOH) can uncover recessive phenotypes within tissue compartments. This phenomenon occurs in normal human tissues and is prevalent in pathological genetic conditions and cancers. While studies in yeast have defined DNA repair mechanisms that can promote LOH, the predominant pathways and environmental triggers in somatic tissues of multicellular organisms are not well understood. Here, we investigate mechanisms underlying LOH in intestinal stem cells in Drosophila. Infection with the pathogenic bacteria, Erwinia carotovora carotovora 15, but not Pseudomonas entomophila, increases LOH frequency. Using whole genome sequencing of somatic LOH events, we demonstrate that they arise primarily via mitotic recombination. Molecular features and genetic evidence argue against a break-induced replication mechanism and instead support cross-over via double Holliday junction-based repair. This study provides a mechanistic understanding of mitotic recombination, an important mediator of LOH, and its effects on stem cells in vivo.
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Affiliation(s)
- Lara Al Zouabi
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France
| | - Marine Stefanutti
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France
| | - Spyridon Roumeliotis
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France
| | - Gwenn Le Meur
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France
| | - Benjamin Boumard
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France
| | - Nick Riddiford
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France
| | - Natalia Rubanova
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France; Bioinformatics, Biostatistics, Epidemiology and Computational Systems Unit, Institut Curie, PSL Research University, INSERM U900, 75005 Paris, France
| | - Mylène Bohec
- ICGex Next-Generation Sequencing Platform, Institut Curie, PSL Research University, 75005 Paris, France
| | - Louis Gervais
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France
| | - Nicolas Servant
- Bioinformatics, Biostatistics, Epidemiology and Computational Systems Unit, Institut Curie, PSL Research University, INSERM U900, 75005 Paris, France
| | - Allison J Bardin
- Genetics and Developmental Biology Department, Institut Curie, PSL Research University, Sorbonne University, CNRS UMR 3215, INSERM U934, 75248 Paris, France.
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12
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Kim IS. DNA Barcoding Technology for Lineage Recording and Tracing to Resolve Cell Fate Determination. Cells 2023; 13:27. [PMID: 38201231 PMCID: PMC10778210 DOI: 10.3390/cells13010027] [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: 11/18/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024] Open
Abstract
In various biological contexts, cells receive signals and stimuli that prompt them to change their current state, leading to transitions into a future state. This change underlies the processes of development, tissue maintenance, immune response, and the pathogenesis of various diseases. Following the path of cells from their initial identity to their current state reveals how cells adapt to their surroundings and undergo transformations to attain adjusted cellular states. DNA-based molecular barcoding technology enables the documentation of a phylogenetic tree and the deterministic events of cell lineages, providing the mechanisms and timing of cell lineage commitment that can either promote homeostasis or lead to cellular dysregulation. This review comprehensively presents recently emerging molecular recording technologies that utilize CRISPR/Cas systems, base editing, recombination, and innate variable sequences in the genome. Detailing their underlying principles, applications, and constraints paves the way for the lineage tracing of every cell within complex biological systems, encompassing the hidden steps and intermediate states of organism development and disease progression.
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Affiliation(s)
- Ik Soo Kim
- Department of Microbiology, Gachon University College of Medicine, Incheon 21999, Republic of Korea
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13
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Sashittal P, Schmidt H, Chan M, Raphael BJ. Startle: A star homoplasy approach for CRISPR-Cas9 lineage tracing. Cell Syst 2023; 14:1113-1121.e9. [PMID: 38128483 DOI: 10.1016/j.cels.2023.11.005] [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: 04/01/2023] [Revised: 10/31/2023] [Accepted: 11/17/2023] [Indexed: 12/23/2023]
Abstract
CRISPR-Cas9-based genome editing combined with single-cell sequencing enables the tracing of the history of cell divisions, or cellular lineage, in tissues and whole organisms. Although standard phylogenetic approaches may be applied to reconstruct cellular lineage trees from this data, the unique features of the CRISPR-Cas9 editing process motivate the development of specialized models that describe the evolution of CRISPR-Cas9-induced mutations. Here, we introduce the "star homoplasy" evolutionary model that constrains a phylogenetic character to mutate at most once along a lineage, capturing the "non-modifiability" property of CRISPR-Cas9 mutations. We derive a combinatorial characterization of star homoplasy phylogenies and use this characterization to develop an algorithm, "Startle", that computes a maximum parsimony star homoplasy phylogeny. We demonstrate that Startle infers more accurate phylogenies on simulated lineage tracing data compared with existing methods and finds parsimonious phylogenies with fewer metastatic migrations on lineage tracing data from mouse metastatic lung adenocarcinoma.
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Affiliation(s)
- Palash Sashittal
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Henri Schmidt
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Michelle Chan
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Benjamin J Raphael
- Department of Computer Science, Princeton University, Princeton, NJ, USA.
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14
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Co JY, Klein JA, Kang S, Homan KA. Toward Inclusivity in Preclinical Drug Development: A Proposition to Start with Intestinal Organoids. Adv Biol (Weinh) 2023; 7:e2200333. [PMID: 36932900 DOI: 10.1002/adbi.202200333] [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: 12/20/2022] [Revised: 02/08/2023] [Indexed: 03/19/2023]
Abstract
Representation of humans from diverse backgrounds in the drug development process is key to advancing health equity, and while clinical trial design has recently made strides toward greater inclusivity, preclinical drug development has struggled to make those same gains. One barrier to inclusion is the current lack of robust and established in vitro model systems that simultaneously capture the complexity of human tissues while representing patient diversity. Here, the use of primary human intestinal organoids as a mechanism to advance inclusive preclinical research is proposed. This in vitro model system not only recapitulates tissue functions and disease states, but also retains the genetic identity and epigenetic signatures of the donors from which they are derived. Thus, intestinal organoids are an ideal in vitro prototype for capturing human diversity. In this perspective, the authors call for an industry-wide effort to leverage intestinal organoids as a starting point to actively and intentionally incorporate diversity into preclinical drug programs.
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Affiliation(s)
- Julia Y Co
- Complex in vitro Systems, Safety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA
| | - Jessica A Klein
- Complex in vitro Systems, Safety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA
| | - Serah Kang
- Complex in vitro Systems, Safety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA
| | - Kimberly A Homan
- Complex in vitro Systems, Safety Assessment, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA
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15
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Cui Z, Wei H, Goding C, Cui R. Stem cell heterogeneity, plasticity, and regulation. Life Sci 2023; 334:122240. [PMID: 37925141 DOI: 10.1016/j.lfs.2023.122240] [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: 09/08/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/06/2023]
Abstract
As a population of homogeneous cells with both self-renewal and differentiation potential, stem cell pools are highly compartmentalized and contain distinct subsets that exhibit stable but limited heterogeneity during homeostasis. However, their striking plasticity is showcased under natural or artificial stress, such as injury, transplantation, cancer, and aging, leading to changes in their phenotype, constitution, metabolism, and function. The complex and diverse network of cell-extrinsic niches and signaling pathways, together with cell-intrinsic genetic and epigenetic regulators, tightly regulate both the heterogeneity during homeostasis and the plasticity under perturbation. Manipulating these factors offers better control of stem cell behavior and a potential revolution in the current state of regenerative medicine. However, disruptions of normal regulation by genetic mutation or excessive plasticity acquisition may contribute to the formation of tumors. By harnessing innovative techniques that enhance our understanding of stem cell heterogeneity and employing novel approaches to maximize the utilization of stem cell plasticity, stem cell therapy holds immense promise for revolutionizing the future of medicine.
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Affiliation(s)
- Ziyang Cui
- Department of Dermatology and Venerology, Peking University First Hospital, Beijing 100034, China.
| | - Hope Wei
- Department of Biology, Boston University, 5 Cummington Mall, Boston, MA 02215, United States of America
| | - Colin Goding
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Headington, Oxford OX37DQ, UK
| | - Rutao Cui
- Skin Disease Research Institute, The 2nd Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
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16
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Flynn J, Ahmadi MM, McFarland CT, Kubal MD, Taylor MA, Cheng Z, Torchia EC, Edwards MG. Crowdsourcing temporal transcriptomic coronavirus host infection data: Resources, guide, and novel insights. Biol Methods Protoc 2023; 8:bpad033. [PMID: 38107402 PMCID: PMC10723038 DOI: 10.1093/biomethods/bpad033] [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: 08/09/2023] [Revised: 10/07/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023] Open
Abstract
The emergence of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) reawakened the need to rapidly understand the molecular etiologies, pandemic potential, and prospective treatments of infectious agents. The lack of existing data on SARS-CoV-2 hampered early attempts to treat severe forms of coronavirus disease-2019 (COVID-19) during the pandemic. This study coupled existing transcriptomic data from severe acute respiratory syndrome-related coronavirus 1 (SARS-CoV-1) lung infection animal studies with crowdsourcing statistical approaches to derive temporal meta-signatures of host responses during early viral accumulation and subsequent clearance stages. Unsupervised and supervised machine learning approaches identified top dysregulated genes and potential biomarkers (e.g. CXCL10, BEX2, and ADM). Temporal meta-signatures revealed distinct gene expression programs with biological implications to a series of host responses underlying sustained Cxcl10 expression and Stat signaling. Cell cycle switched from G1/G0 phase genes, early in infection, to a G2/M gene signature during late infection that correlated with the enrichment of DNA damage response and repair genes. The SARS-CoV-1 meta-signatures were shown to closely emulate human SARS-CoV-2 host responses from emerging RNAseq, single cell, and proteomics data with early monocyte-macrophage activation followed by lymphocyte proliferation. The circulatory hormone adrenomedullin was observed as maximally elevated in elderly patients who died from COVID-19. Stage-specific correlations to compounds with potential to treat COVID-19 and future coronavirus infections were in part validated by a subset of twenty-four that are in clinical trials to treat COVID-19. This study represents a roadmap to leverage existing data in the public domain to derive novel molecular and biological insights and potential treatments to emerging human pathogens.
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Affiliation(s)
- James Flynn
- Illumina Corporation, San Diego, CA 92122, United States
| | - Mehdi M Ahmadi
- Gates Center for Regenerative Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States
| | | | | | - Mark A Taylor
- Bioinfo Solutions LLC, Parker, CO 80134, United States
| | - Zhang Cheng
- Illumina Corporation, San Diego, CA 92122, United States
| | - Enrique C Torchia
- Gates Center for Regenerative Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States
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17
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Durfee C, Temiz NA, Levin-Klein R, Argyris PP, Alsøe L, Carracedo S, Alonso de la Vega A, Proehl J, Holzhauer AM, Seeman ZJ, Liu X, Lin YHT, Vogel RI, Sotillo R, Nilsen H, Harris RS. Human APOBEC3B promotes tumor development in vivo including signature mutations and metastases. Cell Rep Med 2023; 4:101211. [PMID: 37797615 PMCID: PMC10591044 DOI: 10.1016/j.xcrm.2023.101211] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/14/2023] [Accepted: 09/06/2023] [Indexed: 10/07/2023]
Abstract
The antiviral DNA cytosine deaminase APOBEC3B has been implicated as a source of mutation in many cancers. However, despite years of work, a causal relationship has yet to be established in vivo. Here, we report a murine model that expresses tumor-like levels of human APOBEC3B. Animals expressing full-body APOBEC3B appear to develop normally. However, adult males manifest infertility, and older animals of both sexes show accelerated rates of carcinogenesis, visual and molecular tumor heterogeneity, and metastasis. Both primary and metastatic tumors exhibit increased frequencies of C-to-T mutations in TC dinucleotide motifs consistent with the established biochemical activity of APOBEC3B. Enrichment for APOBEC3B-attributable single base substitution mutations also associates with elevated levels of insertion-deletion mutations and structural variations. APOBEC3B catalytic activity is required for all of these phenotypes. Together, these studies provide a cause-and-effect demonstration that human APOBEC3B is capable of driving both tumor initiation and evolution in vivo.
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Affiliation(s)
- Cameron Durfee
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Nuri Alpay Temiz
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Rena Levin-Klein
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Prokopios P Argyris
- Division of Oral and Maxillofacial Pathology, College of Dentistry, Ohio State University, Columbus, OH 43210, USA
| | - Lene Alsøe
- Department of Microbiology, Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway; Department of Microbiology, Oslo University Hospital, 0424 Oslo, Norway
| | - Sergio Carracedo
- Department of Microbiology, Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway
| | - Alicia Alonso de la Vega
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Translational Lung Research Center Heidelberg (TRLC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
| | - Joshua Proehl
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Anna M Holzhauer
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Zachary J Seeman
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Xingyu Liu
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Yu-Hsiu T Lin
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Rachel I Vogel
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA; Department of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Rocio Sotillo
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Translational Lung Research Center Heidelberg (TRLC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
| | - Hilde Nilsen
- Department of Microbiology, Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway; Department of Microbiology, Oslo University Hospital, 0424 Oslo, Norway
| | - Reuben S Harris
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA; Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA.
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18
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Lynch M, Ali F, Lin T, Wang Y, Ni J, Long H. The divergence of mutation rates and spectra across the Tree of Life. EMBO Rep 2023; 24:e57561. [PMID: 37615267 PMCID: PMC10561183 DOI: 10.15252/embr.202357561] [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: 05/29/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/25/2023] Open
Abstract
Owing to advances in genome sequencing, genome stability has become one of the most scrutinized cellular traits across the Tree of Life. Despite its centrality to all things biological, the mutation rate (per nucleotide site per generation) ranges over three orders of magnitude among species and several-fold within individual phylogenetic lineages. Within all major organismal groups, mutation rates scale negatively with the effective population size of a species and with the amount of functional DNA in the genome. This relationship is most parsimoniously explained by the drift-barrier hypothesis, which postulates that natural selection typically operates to reduce mutation rates until further improvement is thwarted by the power of random genetic drift. Despite this constraint, the molecular mechanisms underlying DNA replication fidelity and repair are free to wander, provided the performance of the entire system is maintained at the prevailing level. The evolutionary flexibility of the mutation rate bears on the resolution of several prior conundrums in phylogenetic and population-genetic analysis and raises challenges for future applications in these areas.
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Affiliation(s)
- Michael Lynch
- Biodesign Center for Mechanisms of EvolutionArizona State UniversityTempeAZUSA
| | - Farhan Ali
- Biodesign Center for Mechanisms of EvolutionArizona State UniversityTempeAZUSA
| | - Tongtong Lin
- Institute of Evolution and Marine Biodiversity, KLMMEOcean University of ChinaQingdaoChina
| | - Yaohai Wang
- Institute of Evolution and Marine Biodiversity, KLMMEOcean University of ChinaQingdaoChina
| | - Jiahao Ni
- Institute of Evolution and Marine Biodiversity, KLMMEOcean University of ChinaQingdaoChina
| | - Hongan Long
- Institute of Evolution and Marine Biodiversity, KLMMEOcean University of ChinaQingdaoChina
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19
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Nam CH, Youk J, Kim JY, Lim J, Park JW, Oh SA, Lee HJ, Park JW, Won H, Lee Y, Jeong SY, Lee DS, Oh JW, Han J, Lee J, Kwon HW, Kim MJ, Ju YS. Widespread somatic L1 retrotransposition in normal colorectal epithelium. Nature 2023; 617:540-547. [PMID: 37165195 DOI: 10.1038/s41586-023-06046-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 04/04/2023] [Indexed: 05/12/2023]
Abstract
Throughout an individual's lifetime, genomic alterations accumulate in somatic cells1-11. However, the mutational landscape induced by retrotransposition of long interspersed nuclear element-1 (L1), a widespread mobile element in the human genome12-14, is poorly understood in normal cells. Here we explored the whole-genome sequences of 899 single-cell clones established from three different cell types collected from 28 individuals. We identified 1,708 somatic L1 retrotransposition events that were enriched in colorectal epithelium and showed a positive relationship with age. Fingerprinting of source elements showed 34 retrotransposition-competent L1s. Multidimensional analysis demonstrated that (1) somatic L1 retrotranspositions occur from early embryogenesis at a substantial rate, (2) epigenetic on/off of a source element is preferentially determined in the early organogenesis stage, (3) retrotransposition-competent L1s with a lower population allele frequency have higher retrotransposition activity and (4) only a small fraction of L1 transcripts in the cytoplasm are finally retrotransposed in somatic cells. Analysis of matched cancers further suggested that somatic L1 retrotransposition rate is substantially increased during colorectal tumourigenesis. In summary, this study illustrates L1 retrotransposition-induced somatic mosaicism in normal cells and provides insights into the genomic and epigenomic regulation of transposable elements over the human lifetime.
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Affiliation(s)
- Chang Hyun Nam
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Jeonghwan Youk
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
- Genome Insight, Inc., Daejeon, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | | | - Joonoh Lim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
- Genome Insight, Inc., Daejeon, Republic of Korea
| | - Jung Woo Park
- Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
| | - Soo A Oh
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Hyun Jung Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ji Won Park
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyein Won
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Yunah Lee
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Seung-Yong Jeong
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong-Sung Lee
- Department of Life Science, University of Seoul, Seoul, Republic of Korea
| | - Ji Won Oh
- Department of Anatomy, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
- Department of Anatomy, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jinju Han
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Junehawk Lee
- Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
| | - Hyun Woo Kwon
- Department of Nuclear Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
| | - Min Jung Kim
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Young Seok Ju
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
- Genome Insight, Inc., Daejeon, Republic of Korea.
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20
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Rockweiler NB, Ramu A, Nagirnaja L, Wong WH, Noordam MJ, Drubin CW, Huang N, Miller B, Todres EZ, Vigh-Conrad KA, Zito A, Small KS, Ardlie KG, Cohen BA, Conrad DF. The origins and functional effects of postzygotic mutations throughout the human life span. Science 2023; 380:eabn7113. [PMID: 37053313 DOI: 10.1126/science.abn7113] [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: 12/16/2021] [Accepted: 03/17/2023] [Indexed: 04/15/2023]
Abstract
Postzygotic mutations (PZMs) begin to accrue in the human genome immediately after fertilization, but how and when PZMs affect development and lifetime health remain unclear. To study the origins and functional consequences of PZMs, we generated a multitissue atlas of PZMs spanning 54 tissue and cell types from 948 donors. Nearly half the variation in mutation burden among tissue samples can be explained by measured technical and biological effects, and 9% can be attributed to donor-specific effects. Through phylogenetic reconstruction of PZMs, we found that their type and predicted functional impact vary during prenatal development, across tissues, and through the germ cell life cycle. Thus, methods for interpreting effects across the body and the life span are needed to fully understand the consequences of genetic variants.
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Affiliation(s)
- Nicole B Rockweiler
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Avinash Ramu
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Liina Nagirnaja
- Division of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Wing H Wong
- Department of Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Michiel J Noordam
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Casey W Drubin
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ni Huang
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Brian Miller
- Division of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Ellen Z Todres
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Katinka A Vigh-Conrad
- Division of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Antonino Zito
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | | | - Barak A Cohen
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Donald F Conrad
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
- Center for Embryonic Cell and Gene Therapy, Oregon Health & Science University, Portland, OR 97239, USA
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21
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Paassen I, Williams J, Ríos Arceo C, Ringnalda F, Mercer KS, Buhl JL, Moreno N, Federico A, Franke NE, Kranendonk M, Upadhyaya SA, Kerl K, van de Wetering M, Clevers H, Kool M, Hoving EW, Roussel MF, Drost J. Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities. Oncogene 2023; 42:1661-1671. [PMID: 37020038 PMCID: PMC10181938 DOI: 10.1038/s41388-023-02681-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 03/15/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023]
Abstract
Atypical teratoid/rhabdoid tumors (ATRTs) represent a rare, but aggressive pediatric brain tumor entity. They are genetically defined by alterations in the SWI/SNF chromatin remodeling complex members SMARCB1 or SMARCA4. ATRTs can be further classified in different molecular subgroups based on their epigenetic profiles. Although recent studies suggest that the different subgroups have distinct clinical features, subgroup-specific treatment regimens have not been developed thus far. This is hampered by the lack of pre-clinical in vitro models representative of the different molecular subgroups. Here, we describe the establishment of ATRT tumoroid models from the ATRT-MYC and ATRT-SHH subgroups. We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles. High throughput drug screens on our ATRT tumoroids revealed distinct drug sensitivities between and within ATRT-MYC and ATRT-SHH subgroups. Whereas ATRT-MYC universally displayed high sensitivity to multi-targeted tyrosine kinase inhibitors, ATRT-SHH showed a more heterogeneous response with a subset showing high sensitivity to NOTCH inhibitors, which corresponded to high expression of NOTCH receptors. Our ATRT tumoroids represent the first pediatric brain tumor organoid model, providing a representative pre-clinical model which enables the development of subgroup-specific therapies.
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Affiliation(s)
- Irene Paassen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Justin Williams
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Carla Ríos Arceo
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Femke Ringnalda
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Kimberly Shea Mercer
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Juliane L Buhl
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Natalia Moreno
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Aniello Federico
- Hopp Children's Cancer Center (KiTZ), 69120, Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center DKFZ and German Cancer Consortium DKTK, 69120, Heidelberg, Germany
| | - Niels E Franke
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Mariette Kranendonk
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | | | - Kornelius Kerl
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Marc van de Wetering
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Hans Clevers
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584 CT, Utrecht, the Netherlands
- Pharma, Research and Early Development (pRED) of F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Marcel Kool
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Hopp Children's Cancer Center (KiTZ), 69120, Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center DKFZ and German Cancer Consortium DKTK, 69120, Heidelberg, Germany
| | - Eelco W Hoving
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Martine F Roussel
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jarno Drost
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands.
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands.
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22
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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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23
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Wenger A, Carén H. Methylation Profiling in Diffuse Gliomas: Diagnostic Value and Considerations. Cancers (Basel) 2022; 14:cancers14225679. [PMID: 36428772 PMCID: PMC9688075 DOI: 10.3390/cancers14225679] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
Diffuse gliomas cause significant morbidity across all age groups, despite decades of intensive research efforts. Here, we review the differences in diffuse gliomas in adults and children, as well as the World Health Organisation (WHO) 2021 classification of these tumours. We explain how DNA methylation-based classification works and list the methylation-based tumour types and subclasses for adult and paediatric diffuse gliomas. The benefits and utility of methylation-based classification in diffuse gliomas demonstrated to date are described. This entails the identification of novel tumour types/subclasses, patient stratification and targeted treatment/clinical management, and alterations in the clinical diagnosis in favour of the methylation-based over the histopathological diagnosis. Finally, we address several considerations regarding the use of DNA methylation profiling as a diagnostic tool, e.g., the threshold of the classifier, the calibrated score, tumour cell content and intratumour heterogeneity.
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Affiliation(s)
- Anna Wenger
- Sahlgrenska Center for Cancer Research, Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Helena Carén
- Sahlgrenska Center for Cancer Research, Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden
- Correspondence:
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24
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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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25
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Vihinen M. Individual Genetic Heterogeneity. Genes (Basel) 2022; 13:genes13091626. [PMID: 36140794 PMCID: PMC9498725 DOI: 10.3390/genes13091626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/25/2022] [Accepted: 09/08/2022] [Indexed: 11/28/2022] Open
Abstract
Genetic variation has been widely covered in literature, however, not from the perspective of an individual in any species. Here, a synthesis of genetic concepts and variations relevant for individual genetic constitution is provided. All the different levels of genetic information and variation are covered, ranging from whether an organism is unmixed or hybrid, has variations in genome, chromosomes, and more locally in DNA regions, to epigenetic variants or alterations in selfish genetic elements. Genetic constitution and heterogeneity of microbiota are highly relevant for health and wellbeing of an individual. Mutation rates vary widely for variation types, e.g., due to the sequence context. Genetic information guides numerous aspects in organisms. Types of inheritance, whether Mendelian or non-Mendelian, zygosity, sexual reproduction, and sex determination are covered. Functions of DNA and functional effects of variations are introduced, along with mechanism that reduce and modulate functional effects, including TARAR countermeasures and intraindividual genetic conflict. TARAR countermeasures for tolerance, avoidance, repair, attenuation, and resistance are essential for life, integrity of genetic information, and gene expression. The genetic composition, effects of variations, and their expression are considered also in diseases and personalized medicine. The text synthesizes knowledge and insight on individual genetic heterogeneity and organizes and systematizes the central concepts.
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Affiliation(s)
- Mauno Vihinen
- Department of Experimental Medical Science, BMC B13, Lund University, SE-22184 Lund, Sweden
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26
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Oliver TRW, Chappell L, Sanghvi R, Deighton L, Ansari-Pour N, Dentro SC, Young MD, Coorens THH, Jung H, Butler T, Neville MDC, Leongamornlert D, Sanders MA, Hooks Y, Cagan A, Mitchell TJ, Cortes-Ciriano I, Warren AY, Wedge DC, Heer R, Coleman N, Murray MJ, Campbell PJ, Rahbari R, Behjati S. Clonal diversification and histogenesis of malignant germ cell tumours. Nat Commun 2022; 13:4272. [PMID: 35953478 PMCID: PMC9372159 DOI: 10.1038/s41467-022-31375-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 06/13/2022] [Indexed: 12/21/2022] Open
Abstract
Germ cell tumours (GCTs) are a collection of benign and malignant neoplasms derived from primordial germ cells. They are uniquely able to recapitulate embryonic and extraembryonic tissues, which carries prognostic and therapeutic significance. The developmental pathways underpinning GCT initiation and histogenesis are incompletely understood. Here, we study the relationship of histogenesis and clonal diversification in GCTs by analysing the genomes and transcriptomes of 547 microdissected histological units. We find no correlation between genomic and histological heterogeneity. However, we identify unifying features including the retention of fetal developmental transcripts across tissues, expression changes on chromosome 12p, and a conserved somatic evolutionary sequence of whole genome duplication followed by clonal diversification. While this pattern is preserved across all GCTs, the developmental timing of the duplication varies between prepubertal and postpubertal cases. In addition, tumours of younger children exhibit distinct substitution signatures which may lend themselves as potential biomarkers for risk stratification. Our findings portray the extensive diversification of GCT tissues and genetic subclones as randomly distributed, while identifying overarching transcriptional and genomic features.
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Affiliation(s)
- Thomas R W Oliver
- Wellcome Sanger Institute, Hinxton, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | | | | | - Naser Ansari-Pour
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Stefan C Dentro
- Wellcome Sanger Institute, Hinxton, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | | | | | | | | | | | | | - Mathijs A Sanders
- Wellcome Sanger Institute, Hinxton, UK
- Department of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | | | - Thomas J Mitchell
- Wellcome Sanger Institute, Hinxton, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Isidro Cortes-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Anne Y Warren
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - David C Wedge
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Manchester Cancer Research Centre, Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Rakesh Heer
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Newcastle Urology, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Nicholas Coleman
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Matthew J Murray
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Pathology, University of Cambridge, Cambridge, UK
| | | | | | - Sam Behjati
- Wellcome Sanger Institute, Hinxton, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
- Department of Paediatrics, University of Cambridge, Cambridge, UK.
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27
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Bertrums EJ, Rosendahl Huber AK, de Kanter JK, Brandsma AM, van Leeuwen AJ, Verheul M, van den Heuvel-Eibrink MM, Oka R, van Roosmalen MJ, de Groot-Kruseman HA, Zwaan CM, Goemans BF, van Boxtel R. Elevated Mutational Age in Blood of Children Treated for Cancer Contributes to Therapy-Related Myeloid Neoplasms. Cancer Discov 2022; 12:1860-1872. [PMID: 35678530 PMCID: PMC7613255 DOI: 10.1158/2159-8290.cd-22-0120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/06/2022] [Accepted: 06/07/2022] [Indexed: 01/07/2023]
Abstract
Childhood cancer survivors are confronted with various chronic health conditions like therapy-related malignancies. However, it is unclear how exposure to chemotherapy contributes to the mutation burden and clonal composition of healthy tissues early in life. Here, we studied mutation accumulation in hematopoietic stem and progenitor cells (HSPC) before and after cancer treatment of 24 children. Of these children, 19 developed therapy-related myeloid neoplasms (t-MN). Posttreatment HSPCs had an average mutation burden increase comparable to what treatment-naïve cells accumulate during 16 years of life, with excesses up to 80 years. In most children, these additional mutations were induced by clock-like processes, which are also active during healthy aging. Other patients harbored mutations that could be directly attributed to treatments like platinum-based drugs and thiopurines. Using phylogenetic inference, we demonstrate that most t-MN in children originate after the start of treatment and that leukemic clones become dominant during or directly after chemotherapy exposure. SIGNIFICANCE Our study shows that chemotherapy increases the mutation burden of normal blood cells in cancer survivors. Only few drugs damage the DNA directly, whereas in most patients, chemotherapy-induced mutations are caused by processes similar to those present during normal aging. This article is highlighted in the In This Issue feature, p. 1825.
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Affiliation(s)
- 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
| | - Axel K.M. Rosendahl Huber
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Jurrian K. de Kanter
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Arianne M. Brandsma
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Anaïs J.C.N. van Leeuwen
- 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
| | | | - Rurika Oka
- 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
| | | | - C. Michel Zwaan
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Department of Pediatric Oncology, Erasmus Medical Center – Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Bianca F. Goemans
- 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.,Corresponding Author: Ruben van Boxtel, Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands. Phone: 0031 (0)889727272; E-mail:
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28
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Specification of hematopoietic stem cells in mammalian embryos: a rare or frequent event? Blood 2022; 140:309-320. [PMID: 35737920 PMCID: PMC9335503 DOI: 10.1182/blood.2020009839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/02/2021] [Indexed: 11/20/2022] Open
Abstract
Hematopoietic stem cells (HSCs) are the blood-forming stem cells thought to be responsible for supporting the blood system throughout life. Transplantability has long been the flagship assay used to define and characterize HSCs throughout ontogeny. However, it has recently become clear that many cells emerge during ontogeny that lack transplantability yet nevertheless are fated to ultimately contribute to the adult HSC pool. Here, we explore recent advances in understanding the numbers and kinetics of cells that emerge during development to support lifelong hematopoiesis; these advances are made possible by new technologies allowing interrogation of lifelong blood potential without embryo perturbation or transplantation. Illuminating the dynamics of these cells during normal development informs efforts to better understand the origins of hematologic disease and engineer HSCs from differentiating pluripotent stem cells.
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29
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Majic P, Erten EY, Payne JL. The adaptive potential of nonheritable somatic mutations. Am Nat 2022; 200:755-772. [DOI: 10.1086/721766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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30
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Huang AY, Lee EA. Identification of Somatic Mutations From Bulk and Single-Cell Sequencing Data. FRONTIERS IN AGING 2022; 2:800380. [PMID: 35822012 PMCID: PMC9261417 DOI: 10.3389/fragi.2021.800380] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 12/08/2021] [Indexed: 12/26/2022]
Abstract
Somatic mutations are DNA variants that occur after the fertilization of zygotes and accumulate during the developmental and aging processes in the human lifespan. Somatic mutations have long been known to cause cancer, and more recently have been implicated in a variety of non-cancer diseases. The patterns of somatic mutations, or mutational signatures, also shed light on the underlying mechanisms of the mutational process. Advances in next-generation sequencing over the decades have enabled genome-wide profiling of DNA variants in a high-throughput manner; however, unlike germline mutations, somatic mutations are carried only by a subset of the cell population. Thus, sensitive bioinformatic methods are required to distinguish mutant alleles from sequencing and base calling errors in bulk tissue samples. An alternative way to study somatic mutations, especially those present in an extremely small number of cells or even in a single cell, is to sequence single-cell genomes after whole-genome amplification (WGA); however, it is critical and technically challenging to exclude numerous technical artifacts arising during error-prone and uneven genome amplification in current WGA methods. To address these challenges, multiple bioinformatic tools have been developed. In this review, we summarize the latest progress in methods for identification of somatic mutations and the challenges that remain to be addressed in the future.
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Affiliation(s)
- August Yue Huang
- Division of Genetics and Genomics, Manton Center for Orphan Diseases, Boston Children's Hospital, Boston, MA, United States, Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Eunjung Alice Lee
- Division of Genetics and Genomics, Manton Center for Orphan Diseases, Boston Children's Hospital, Boston, MA, United States, Department of Pediatrics, Harvard Medical School, Boston, MA, United States
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31
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Manders F, van Boxtel R, Middelkamp S. The Dynamics of Somatic Mutagenesis During Life in Humans. FRONTIERS IN AGING 2022; 2:802407. [PMID: 35822044 PMCID: PMC9261377 DOI: 10.3389/fragi.2021.802407] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 11/30/2021] [Indexed: 12/12/2022]
Abstract
From conception to death, human cells accumulate somatic mutations in their genomes. These mutations can contribute to the development of cancer and non-malignant diseases and have also been associated with aging. Rapid technological developments in sequencing approaches in the last few years and their application to normal tissues have greatly advanced our knowledge about the accumulation of these mutations during healthy aging. Whole genome sequencing studies have revealed that there are significant differences in mutation burden and patterns across tissues, but also that the mutation rates within tissues are surprisingly constant during adult life. In contrast, recent lineage-tracing studies based on whole-genome sequencing have shown that the rate of mutation accumulation is strongly increased early in life before birth. These early mutations, which can be shared by many cells in the body, may have a large impact on development and the origin of somatic diseases. For example, cancer driver mutations can arise early in life, decades before the detection of the malignancy. Here, we review the recent insights in mutation accumulation and mutagenic processes in normal tissues. We compare mutagenesis early and later in life and discuss how mutation rates and patterns evolve during aging. Additionally, we outline the potential impact of these mutations on development, aging and disease.
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Affiliation(s)
- Freek Manders
- Princess Máxima Center for Pediatric Oncology and Oncode Institute, Utrecht, Netherlands
| | - Ruben van Boxtel
- Princess Máxima Center for Pediatric Oncology and Oncode Institute, Utrecht, Netherlands
| | - Sjors Middelkamp
- Princess Máxima Center for Pediatric Oncology and Oncode Institute, Utrecht, Netherlands
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32
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Sinjab A, Rahal Z, Kadara H. Cell-by-Cell: Unlocking Lung Cancer Pathogenesis. Cancers (Basel) 2022; 14:3424. [PMID: 35884485 PMCID: PMC9320562 DOI: 10.3390/cancers14143424] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/08/2022] [Accepted: 07/12/2022] [Indexed: 01/09/2023] Open
Abstract
For lung cancers, cellular trajectories and fates are strongly pruned by cell intrinsic and extrinsic factors. Over the past couple of decades, the combination of comprehensive molecular and genomic approaches, as well as the use of relevant pre-clinical models, enhanced micro-dissection techniques, profiling of rare preneoplastic lesions and surrounding tissues, as well as multi-region tumor sequencing, have all provided in-depth insights into the early biology and evolution of lung cancers. The advent of single-cell sequencing technologies has revolutionized our ability to interrogate these same models, tissues, and cohorts at an unprecedented resolution. Single-cell tracking of lung cancer pathogenesis is now transforming our understanding of the roles and consequences of epithelial-microenvironmental cues and crosstalk during disease evolution. By focusing on non-small lung cancers, specifically lung adenocarcinoma subtype, this review aims to summarize our knowledge base of tumor cells-of-origin and tumor-immune dynamics that have been primarily fueled by single-cell analysis of lung adenocarcinoma specimens at various stages of disease pathogenesis and of relevant animal models. The review will provide an overview of how recent reports are rewriting the mechanistic details of lineage plasticity and intra-tumor heterogeneity at a magnified scale thanks to single-cell studies of early- to late-stage lung adenocarcinomas. Future advances in single-cell technologies, coupled with analysis of minute amounts of rare clinical tissues and novel animal models, are anticipated to help transform our understanding of how diverse micro-events elicit macro-scale consequences, and thus to significantly advance how basic genomic and molecular knowledge of lung cancer evolution can be translated into successful targets for early detection and prevention of this lethal disease.
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Affiliation(s)
- Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Z.R.); (H.K.)
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Anderson DJ, Pauler FM, McKenna A, Shendure J, Hippenmeyer S, Horwitz MS. Simultaneous brain cell type and lineage determined by scRNA-seq reveals stereotyped cortical development. Cell Syst 2022; 13:438-453.e5. [PMID: 35452605 DOI: 10.1016/j.cels.2022.03.006] [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: 05/14/2021] [Revised: 01/21/2022] [Accepted: 03/30/2022] [Indexed: 11/30/2022]
Abstract
Mutations are acquired frequently, such that each cell's genome inscribes its history of cell divisions. Common genomic alterations involve loss of heterozygosity (LOH). LOH accumulates throughout the genome, offering large encoding capacity for inferring cell lineage. Using only single-cell RNA sequencing (scRNA-seq) of mouse brain cells, we found that LOH events spanning multiple genes are revealed as tracts of monoallelically expressed, constitutionally heterozygous single-nucleotide variants (SNVs). We simultaneously inferred cell lineage and marked developmental time points based on X chromosome inactivation and the total number of LOH events while identifying cell types from gene expression patterns. Our results are consistent with progenitor cells giving rise to multiple cortical cell types through stereotyped expansion and distinct waves of neurogenesis. This type of retrospective analysis could be incorporated into scRNA-seq pipelines and, compared with experimental approaches for determining lineage in model organisms, is applicable where genetic engineering is prohibited, such as humans.
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Affiliation(s)
- Donovan J Anderson
- Allen Discovery Center for Lineage Tracing and Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA 98109, USA
| | - Florian M Pauler
- Institute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria
| | | | - Jay Shendure
- Allen Discovery Center for Lineage Tracing, Department of Genome Sciences, and Howard Hughes Medical Institute, University of Washington, Seattle, WA 98109, USA
| | - Simon Hippenmeyer
- Institute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria
| | - Marshall S Horwitz
- Allen Discovery Center for Lineage Tracing and Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA 98109, USA.
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Asymmetric Contribution of Blastomere Lineages of First Division of the Zygote to Entire Human Body Using Post-Zygotic Variants. Tissue Eng Regen Med 2022; 19:809-821. [PMID: 35438457 PMCID: PMC9294097 DOI: 10.1007/s13770-022-00443-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/02/2022] [Accepted: 02/13/2022] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND In humans, after fertilization, the zygote divides into two 2n diploid daughter blastomeres. During this division, DNA is replicated, and the remaining mutually exclusive genetic mutations in the genome of each cell are called post-zygotic variants. Using these somatic mutations, developmental lineages can be reconstructed. How these two blastomeres are contributing to the entire body is not yet identified. This study aims to evaluate the cellular contribution of two blastomeres of 2-cell embryos to the entire body in humans using post-zygotic variants based on whole genome sequencing. METHODS Tissues from different anatomical areas were obtained from five donated cadavers for use in single-cell clonal expansion and bulk target sequencing. After conducting whole genome sequencing, computational analysis was applied to find the early embryonic mutations of each clone. We developed our in-house bioinformatics pipeline, and filtered variants using strict criteria, composed of mapping quality, base quality scores, depth, soft-clipped reads, and manual inspection, resulting in the construction of embryological phylogenetic cellular trees. RESULTS Using our in-house pipeline for variant filtering, we could extract accurate true positive variants, and construct the embryological phylogenetic trees for each cadaver. We found that two daughter blastomeres, L1 and L2 (lineage 1 and 2, respectively), derived from the zygote, distribute unequally to the whole body at the clonal level. From bulk target sequencing data, we validated asymmetric contribution by means of the variant allele frequency of L1 and L2. The asymmetric contribution of L1 and L2 varied from person to person. CONCLUSION We confirmed that there is asymmetric contribution of two daughter blastomeres from the first division of the zygote across the whole human body.
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Khabirova E, Jardine L, Coorens THH, Webb S, Treger TD, Engelbert J, Porter T, Prigmore E, Collord G, Piapi A, Teichmann SA, Inglott S, Williams O, Heidenreich O, Young MD, Straathof K, Bomken S, Bartram J, Haniffa M, Behjati S. Single-cell transcriptomics reveals a distinct developmental state of KMT2A-rearranged infant B-cell acute lymphoblastic leukemia. Nat Med 2022; 28:743-751. [PMID: 35288693 PMCID: PMC9018413 DOI: 10.1038/s41591-022-01720-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 01/27/2022] [Indexed: 12/23/2022]
Abstract
KMT2A-rearranged infant ALL is an aggressive childhood leukemia with poor prognosis. Here, we investigated the developmental state of KMT2A-rearranged infant B-cell acute lymphoblastic leukemia (B-ALL) using bulk messenger RNA (mRNA) meta-analysis and examination of single lymphoblast transcriptomes against a developing bone marrow reference. KMT2A-rearranged infant B-ALL was uniquely dominated by an early lymphocyte precursor (ELP) state, whereas less adverse NUTM1-rearranged infant ALL demonstrated signals of later developing B cells, in line with most other childhood B-ALLs. We compared infant lymphoblasts with ELP cells and revealed that the cancer harbored hybrid myeloid-lymphoid features, including nonphysiological antigen combinations potentially targetable to achieve cancer specificity. We validated surface coexpression of exemplar combinations by flow cytometry. Through analysis of shared mutations in separate leukemias from a child with infant KMT2A-rearranged B-ALL relapsing as AML, we established that KMT2A rearrangement occurred in very early development, before hematopoietic specification, emphasizing that cell of origin cannot be inferred from the transcriptional state.
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Affiliation(s)
| | - Laura Jardine
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
- Haematology Department, Freeman Hospital, Newcastle-upon-Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | | | - Simone Webb
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Taryn D Treger
- Wellcome Sanger Institute, Hinxton, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Justin Engelbert
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | | | - Grace Collord
- Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, University College London Hospital, London, UK
- Department of Haematology, University College London Cancer Institute, London, UK
| | - Alice Piapi
- Great Ormond Street Hospital for Children NHS Foundation Trust and NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | | | - Sarah Inglott
- Great Ormond Street Hospital for Children NHS Foundation Trust and NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | - Owen Williams
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Olaf Heidenreich
- Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Karin Straathof
- Great Ormond Street Hospital for Children NHS Foundation Trust and NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Simon Bomken
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
- The Great North Children's Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
| | - Jack Bartram
- Great Ormond Street Hospital for Children NHS Foundation Trust and NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK.
- UCL Great Ormond Street Institute of Child Health, London, UK.
| | - Muzlifah Haniffa
- Wellcome Sanger Institute, Hinxton, UK.
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
- Department of Dermatology and NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
| | - Sam Behjati
- Wellcome Sanger Institute, Hinxton, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
- Department of Paediatrics, University of Cambridge, Cambridge, UK.
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Cagan A, Baez-Ortega A, Brzozowska N, Abascal F, Coorens THH, Sanders MA, Lawson ARJ, Harvey LMR, Bhosle S, Jones D, Alcantara RE, Butler TM, Hooks Y, Roberts K, Anderson E, Lunn S, Flach E, Spiro S, Januszczak I, Wrigglesworth E, Jenkins H, Dallas T, Masters N, Perkins MW, Deaville R, Druce M, Bogeska R, Milsom MD, Neumann B, Gorman F, Constantino-Casas F, Peachey L, Bochynska D, Smith ESJ, Gerstung M, Campbell PJ, Murchison EP, Stratton MR, Martincorena I. Somatic mutation rates scale with lifespan across mammals. Nature 2022; 604:517-524. [PMID: 35418684 PMCID: PMC9021023 DOI: 10.1038/s41586-022-04618-z] [Citation(s) in RCA: 165] [Impact Index Per Article: 82.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 03/07/2022] [Indexed: 12/22/2022]
Abstract
The rates and patterns of somatic mutation in normal tissues are largely unknown outside of humans1-7. Comparative analyses can shed light on the diversity of mutagenesis across species, and on long-standing hypotheses about the evolution of somatic mutation rates and their role in cancer and ageing. Here we performed whole-genome sequencing of 208 intestinal crypts from 56 individuals to study the landscape of somatic mutation across 16 mammalian species. We found that somatic mutagenesis was dominated by seemingly endogenous mutational processes in all species, including 5-methylcytosine deamination and oxidative damage. With some differences, mutational signatures in other species resembled those described in humans8, although the relative contribution of each signature varied across species. Notably, the somatic mutation rate per year varied greatly across species and exhibited a strong inverse relationship with species lifespan, with no other life-history trait studied showing a comparable association. Despite widely different life histories among the species we examined-including variation of around 30-fold in lifespan and around 40,000-fold in body mass-the somatic mutation burden at the end of lifespan varied only by a factor of around 3. These data unveil common mutational processes across mammals, and suggest that somatic mutation rates are evolutionarily constrained and may be a contributing factor in ageing.
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Affiliation(s)
- Alex Cagan
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK.
| | - Adrian Baez-Ortega
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Natalia Brzozowska
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Federico Abascal
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Tim H H Coorens
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Mathijs A Sanders
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Andrew R J Lawson
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Luke M R Harvey
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Shriram Bhosle
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - David Jones
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Raul E Alcantara
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Timothy M Butler
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Yvette Hooks
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Kirsty Roberts
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Elizabeth Anderson
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Sharna Lunn
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Edmund Flach
- Wildlife Health Services, Zoological Society of London, London, UK
| | - Simon Spiro
- Wildlife Health Services, Zoological Society of London, London, UK
| | - Inez Januszczak
- Wildlife Health Services, Zoological Society of London, London, UK
- The Natural History Museum, London, UK
| | | | - Hannah Jenkins
- Wildlife Health Services, Zoological Society of London, London, UK
| | - Tilly Dallas
- Wildlife Health Services, Zoological Society of London, London, UK
| | - Nic Masters
- Wildlife Health Services, Zoological Society of London, London, UK
| | | | - Robert Deaville
- Institute of Zoology, Zoological Society of London, London, UK
| | - Megan Druce
- Division of Experimental Hematology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine GmbH (HI-STEM), Heidelberg, Germany
| | - Ruzhica Bogeska
- Division of Experimental Hematology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine GmbH (HI-STEM), Heidelberg, Germany
| | - Michael D Milsom
- Division of Experimental Hematology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine GmbH (HI-STEM), Heidelberg, Germany
| | - Björn Neumann
- Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Frank Gorman
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | | | - Laura Peachey
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Bristol Veterinary School, Faculty of Health Sciences, University of Bristol, Langford, UK
| | - Diana Bochynska
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Department of Pathology, Faculty of Veterinary Medicine, Universitatea de Stiinte Agricole si Medicina Veterinara, Cluj-Napoca, Romania
| | | | - Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
| | - Peter J Campbell
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | | | - Michael R Stratton
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Iñigo Martincorena
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK.
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Suarez-Martinez E, Suazo-Sanchez I, Celis-Romero M, Carnero A. 3D and organoid culture in research: physiology, hereditary genetic diseases and cancer. Cell Biosci 2022; 12:39. [PMID: 35365227 PMCID: PMC8973959 DOI: 10.1186/s13578-022-00775-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/13/2022] [Indexed: 02/08/2023] Open
Abstract
In nature, cells reside in tissues subject to complex cell–cell interactions, signals from extracellular molecules and niche soluble and mechanical signaling. These microenvironment interactions are responsible for cellular phenotypes and functions, especially in normal settings. However, in 2D cultures, where interactions are limited to the horizontal plane, cells are exposed uniformly to factors or drugs; therefore, this model does not reconstitute the interactions of a natural microenvironment. 3D culture systems more closely resemble the architectural and functional properties of in vivo tissues. In these 3D cultures, the cells are exposed to different concentrations of nutrients, growth factors, oxygen or cytotoxic agents depending on their localization and communication. The 3D architecture also differentially alters the physiological, biochemical, and biomechanical properties that can affect cell growth, cell survival, differentiation and morphogenesis, cell migration and EMT properties, mechanical responses and therapy resistance. This latter point may, in part, explain the failure of current therapies and affect drug discovery research. Organoids are a promising 3D culture system between 2D cultures and in vivo models that allow the manipulation of signaling pathways and genome editing of cells in a body-like environment but lack the many disadvantages of a living system. In this review, we will focus on the role of stem cells in the establishment of organoids and the possible therapeutic applications of this model, especially in the field of cancer research.
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Affiliation(s)
- Elisa Suarez-Martinez
- Instituto de Biomedicina de Sevilla, IBIS, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Consejo Superior de Investigaciones Científicas, Av Manuel Siurot sn, 41013, Sevilla, Spain.,CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Irene Suazo-Sanchez
- Instituto de Biomedicina de Sevilla, IBIS, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Consejo Superior de Investigaciones Científicas, Av Manuel Siurot sn, 41013, Sevilla, Spain.,CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Manuel Celis-Romero
- Instituto de Biomedicina de Sevilla, IBIS, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Consejo Superior de Investigaciones Científicas, Av Manuel Siurot sn, 41013, Sevilla, Spain.,CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Amancio Carnero
- Instituto de Biomedicina de Sevilla, IBIS, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Consejo Superior de Investigaciones Científicas, Av Manuel Siurot sn, 41013, Sevilla, Spain. .,CIBERONC, Instituto de Salud Carlos III, Madrid, Spain.
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Jang H, Kim SH, Koh Y, Yoon KJ. Engineering Brain Organoids: Toward Mature Neural Circuitry with an Intact Cytoarchitecture. Int J Stem Cells 2022; 15:41-59. [PMID: 35220291 PMCID: PMC8889333 DOI: 10.15283/ijsc22004] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 01/19/2022] [Indexed: 11/23/2022] Open
Abstract
The emergence of brain organoids as a model system has been a tremendously exciting development in the field of neuroscience. Brain organoids are a gateway to exploring the intricacies of human-specific neurogenesis that have so far eluded the neuroscience community. Regardless, current culture methods have a long way to go in terms of accuracy and reproducibility. To perfectly mimic the human brain, we need to recapitulate the complex in vivo context of the human fetal brain and achieve mature neural circuitry with an intact cytoarchitecture. In this review, we explore the major challenges facing the current brain organoid systems, potential technical breakthroughs to advance brain organoid techniques up to levels similar to an in vivo human developing brain, and the future prospects of this technology.
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Affiliation(s)
- Hyunsoo Jang
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Seo Hyun Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Youmin Koh
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Ki-Jun Yoon
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
- KAIST-Wonjin Cell Therapy Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
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Hasaart KA, Manders F, Ubels J, Verheul M, van Roosmalen MJ, Groenen NM, Oka R, Kuijk E, Lopes SMCDS, Boxtel RV. Human induced pluripotent stem cells display a similar mutation burden as embryonic pluripotent cells in vivo. iScience 2022; 25:103736. [PMID: 35118356 PMCID: PMC8792070 DOI: 10.1016/j.isci.2022.103736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 12/03/2021] [Accepted: 01/02/2022] [Indexed: 11/30/2022] Open
Abstract
Induced pluripotent stem cells (iPSCs) hold great promise for regenerative medicine, but genetic instability is a major concern. Embryonic pluripotent cells also accumulate mutations during early development, but how this relates to the mutation burden in iPSCs remains unknown. Here, we directly compared the mutation burden of cultured iPSCs with their isogenic embryonic cells during human embryogenesis. We generated developmental lineage trees of human fetuses by phylogenetic inference from somatic mutations in the genomes of multiple stem cells, which were derived from different germ layers. Using this approach, we characterized the mutations acquired pre-gastrulation and found a rate of 1.65 mutations per cell division. When cultured in hypoxic conditions, iPSCs generated from fetal stem cells of the assessed fetuses displayed a similar mutation rate and spectrum. Our results show that iPSCs maintain a genomic integrity during culture at a similar degree as their pluripotent counterparts do in vivo.
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Affiliation(s)
- Karlijn A.L. Hasaart
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Freek Manders
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Joske Ubels
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Mark Verheul
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Markus J. van Roosmalen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Niels M. Groenen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Rurika Oka
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
| | - Ewart Kuijk
- Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands
- Center for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG 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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40
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LINEAGE: Label-free identification of endogenous informative single-cell mitochondrial RNA mutation for lineage analysis. Proc Natl Acad Sci U S A 2022; 119:2119767119. [PMID: 35086932 PMCID: PMC8812554 DOI: 10.1073/pnas.2119767119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2021] [Indexed: 02/07/2023] Open
Abstract
Lineage analysis is an important assay for developmental biology, cancer biology, etc. Traditional tools in this field are time consuming, technically challenging, and in demand of preexisting knowledge. By integrating exogenous barcodes into cells, single-cell RNA-sequencing (scRNA-seq) can be used to conduct such tasks, but these assays required significant expertise in both wet- and dry-laboratory experiments. We developed a user-friendly algorithm to conduct cell-lineage inference solely based on endogenous markers of label-free scRNA-seq. This algorithm is able to identify lineage-informative mutations from a bunch of interfering mitochondrial RNA variants with high accuracy and efficiency. With this algorithm, we removed most of the technical hurdles of lineage analysis on scRNA-seq and will dramatically accelerate its application in biological research. Single-cell RNA-sequencing (scRNA-seq) has become a powerful tool for biomedical research by providing a variety of valuable information with the advancement of computational tools. Lineage analysis based on scRNA-seq provides key insights into the fate of individual cells in various systems. However, such analysis is limited by several technical challenges. On top of the considerable computational expertise and resources, these analyses also require specific types of matching data such as exogenous barcode information or bulk assay for transposase-accessible chromatin with high throughput sequencing (ATAC-seq) data. To overcome these technical challenges, we developed a user-friendly computational algorithm called “LINEAGE” (label-free identification of endogenous informative single-cell mitochondrial RNA mutation for lineage analysis). Aiming to screen out endogenous markers of lineage located on mitochondrial reads from label-free scRNA-seq data to conduct lineage inference, LINEAGE integrates a marker selection strategy by feature subspace separation and de novo “low cross-entropy subspaces” identification. In this process, the mutation type and subspace–subspace “cross-entropy” of features were both taken into consideration. LINEAGE outperformed three other methods, which were designed for similar tasks as testified with two standard datasets in terms of biological accuracy and computational efficiency. Applied on a label-free scRNA-seq dataset of BRAF-mutated cancer cells, LINEAGE also revealed genes that contribute to BRAF inhibitor resistance. LINEAGE removes most of the technical hurdles of lineage analysis, which will remarkably accelerate the discovery of the important genes or cell-lineage clusters from scRNA-seq data.
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41
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Wen L, Tang F. Recent advances on single-cell sequencing technologies. PRECISION CLINICAL MEDICINE 2022; 5:pbac002. [PMID: 35821681 PMCID: PMC9267251 DOI: 10.1093/pcmedi/pbac002] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 11/15/2022] Open
Abstract
ABSTRACT
Single-cell omics sequencing was first achieved for transcriptome in 2009, which was followed by fast development of technologies for profiling genome, DNA methylome, 3D genome architecture, chromatin accessibility, histone modifications and so on, in an individual cell. In this review we mainly focus on the recent progresses in four topics in single cell omics field- single-cell epigenome sequencing, single-cell genome sequencing for lineage tracing, spatially resolved single-cell transcriptomics, and third-generation sequencing platform-based single cell omics sequencing. We also discuss the potential applications and future directions of these single cell omics sequencing technologies for different biomedical systems, especially for the human stem cell field.
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Affiliation(s)
- Lu Wen
- ICG, BIOPIC, School of Life Sciences, Peking University, Beijing, PR China
| | - Fuchou Tang
- ICG, BIOPIC, School of Life Sciences, Peking University, Beijing, PR China
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Sisman Y, Schnack T, Høgdall E, Høgdall C. Organoids and epithelial ovarian cancer - a future tool for personalized treatment decisions? (Review). Mol Clin Oncol 2022; 16:29. [PMID: 34987799 PMCID: PMC8719262 DOI: 10.3892/mco.2021.2462] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 10/14/2021] [Indexed: 01/10/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is the 5th leading cause of cancer-associated death in females worldwide. Although 80% of cases respond well to initial treatment, >70% develop recurrent disease and become chemoresistant within the first two years. Therefore, there is a great need for predictive biomarkers to guide treatment. In the era of precision medicine, organoids are studied as a functional method to predict treatment response to oncological treatment. The overall purpose of the present systematic review was to uncover the current status of patient-derived organoids and their ability to perform drug screenings for EOC. A systematic search for studies investigating ovarian cancer and organoids was performed using PubMed and the Cochrane Library. A total of 10 studies fulfilled the inclusion criteria. The growth rates of organoids were described in six studies and varied between 29 and 90%. Only four studies included data on clinical outcomes and indicated a positive correlation between clinical response and drug screening results. Inter- and intratumoral heterogeneity was examined in seven studies. They all suggested that the organoids recapture the tumor heterogeneity. Only one study performed drug screenings on organoids obtained from different tumor sites and metastasis from the same patient with EOC and revealed a different response to at least one drug for all patients. In conclusion, organoids may provide a platform for predicting the clinical response to chemotherapy and gene-targeting therapy. However, the results are only exploratory and the number of published drug screening studies is minimal. Further research is required to prove that organoids are able to support the choice of oncological treatment in patients with EOC.
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Affiliation(s)
- Yagmur Sisman
- Department of Gynecology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.,Department of Pathology, Copenhagen University Hospital, Herlev Hospital, 2730 Herlev, Denmark
| | - Tine Schnack
- Department of Gynecology, Odense University Hospital, 2100 Copenhagen, Denmark
| | - Estrid Høgdall
- Department of Pathology, Copenhagen University Hospital, Herlev Hospital, 2730 Herlev, Denmark
| | - Claus Høgdall
- Department of Gynecology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark
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Pareja F, Ptashkin RN, Brown DN, Derakhshan F, Selenica P, da Silva EM, Gazzo AM, Da Cruz Paula A, Breen K, Shen R, Marra A, Zehir A, Benayed R, Berger MF, Ceyhan-Birsoy O, Jairam S, Sheehan M, Patel U, Kemel Y, Casanova-Murphy J, Schwartz CJ, Vahdatinia M, Comen E, Borsu L, Pei X, Riaz N, Abramson DH, Weigelt B, Walsh MF, Hadjantonakis AK, Ladanyi M, Offit K, Stadler ZK, Robson ME, Reis-Filho JS, Mandelker D. Cancer Causative Mutations Occurring in Early Embryogenesis. Cancer Discov 2021; 12:949-957. [DOI: 10.1158/2159-8290.cd-21-1110] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/21/2021] [Accepted: 12/20/2021] [Indexed: 11/16/2022]
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Mapping single-cell-resolution cell phylogeny reveals cell population dynamics during organ development. Nat Methods 2021; 18:1506-1514. [PMID: 34857936 DOI: 10.1038/s41592-021-01325-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 10/18/2021] [Indexed: 12/20/2022]
Abstract
Mapping the cell phylogeny of a complex multicellular organism relies on somatic mutations accumulated from zygote to adult. Available cell barcoding methods can record about three mutations per barcode, enabling only low-resolution mapping of the cell phylogeny of complex organisms. Here we developed SMALT, a substitution mutation-aided lineage-tracing system that outperforms the available cell barcoding methods in mapping cell phylogeny. We applied SMALT to Drosophila melanogaster and obtained on average more than 20 mutations on a three-kilobase-pair barcoding sequence in early-adult cells. Using the barcoding mutations, we obtained high-quality cell phylogenetic trees, each comprising several thousand internal nodes with 84-93% median bootstrap support. The obtained cell phylogenies enabled a population genetic analysis that estimates the longitudinal dynamics of the number of actively dividing parental cells (Np) in each organ through development. The Np dynamics revealed the trajectory of cell births and provided insight into the balance of symmetric and asymmetric cell division.
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Lyne AM, Perie L. Comparing Phylogenetic Approaches to Reconstructing Cell Lineage From Microsatellites With Missing Data. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021; 18:2291-2301. [PMID: 32386163 DOI: 10.1109/tcbb.2020.2992813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Due to the imperfect fidelity of DNA replication, somatic cells acquire DNA mutations at each division which record their lineage history. Microsatellites, tandem repeats of DNA nucleotide motifs, mutate more frequently than other genomic regions and by observing microsatellite lengths in single cells and implementing suitable inference procedures, the cell lineage tree of an organism can be reconstructed. Due to recent advances in single cell Next Generation Sequencing (NGS) and the phylogenetic methods used to infer lineage trees, this work investigates which computational approaches best exploit the lineage information found in single cell NGS data. We simulated trees representing cell division with mutating microsatellites, and tested a range of available phylogenetic algorithms to reconstruct cell lineage. We found that distance-based approaches are fast and accurate with fully observed data. However, Maximum Parsimony and the computationally intensive probabilistic methods are more robust to missing data and therefore better suited to reconstructing cell lineage from NGS datasets. We also investigated how robust reconstruction algorithms are to different tree topologies and mutation generation models. Our results show that the flexibility of Maximum Parsimony and the probabilistic approaches mean they can be adapted to allow good reconstruction across a range of biologically relevant scenarios.
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Rosendahl Huber A, Van Hoeck A, Van Boxtel R. The Mutagenic Impact of Environmental Exposures in Human Cells and Cancer: Imprints Through Time. Front Genet 2021; 12:760039. [PMID: 34745228 PMCID: PMC8565797 DOI: 10.3389/fgene.2021.760039] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 10/05/2021] [Indexed: 12/25/2022] Open
Abstract
During life, the DNA of our cells is continuously exposed to external damaging processes. Despite the activity of various repair mechanisms, DNA damage eventually results in the accumulation of mutations in the genomes of our cells. Oncogenic mutations are at the root of carcinogenesis, and carcinogenic agents are often highly mutagenic. Over the past decade, whole genome sequencing data of healthy and tumor tissues have revealed how cells in our body gradually accumulate mutations because of exposure to various mutagenic processes. Dissection of mutation profiles based on the type and context specificities of the altered bases has revealed a variety of signatures that reflect past exposure to environmental mutagens, ranging from chemotherapeutic drugs to genotoxic gut bacteria. In this review, we discuss the latest knowledge on somatic mutation accumulation in human cells, and how environmental mutagenic factors further shape the mutation landscapes of tissues. In addition, not all carcinogenic agents induce mutations, which may point to alternative tumor-promoting mechanisms, such as altered clonal selection dynamics. In short, we provide an overview of how environmental factors induce mutations in the DNA of our healthy cells and how this contributes to carcinogenesis. A better understanding of how environmental mutagens shape the genomes of our cells can help to identify potential preventable causes of cancer.
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Affiliation(s)
- Axel Rosendahl Huber
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
- Oncode Institute, Utrecht, Netherlands
| | - Arne Van Hoeck
- Oncode Institute, Utrecht, Netherlands
- Center for Molecular Medicine, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Ruben Van Boxtel
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
- Oncode Institute, Utrecht, Netherlands
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Antiviral treatment causes a unique mutational signature in cancers of transplantation recipients. Cell Stem Cell 2021; 28:1726-1739.e6. [PMID: 34496298 PMCID: PMC8516432 DOI: 10.1016/j.stem.2021.07.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 06/11/2021] [Accepted: 07/29/2021] [Indexed: 02/06/2023]
Abstract
Genetic instability is a major concern for successful application of stem cells in regenerative medicine. However, the mutational consequences of the most applied stem cell therapy in humans, hematopoietic stem cell transplantation (HSCT), remain unknown. Here we characterized the mutation burden of hematopoietic stem and progenitor cells (HSPCs) of human HSCT recipients and their donors using whole-genome sequencing. We demonstrate that the majority of transplanted HSPCs did not display altered mutation accumulation. However, in some HSCT recipients, we identified multiple HSPCs with an increased mutation burden after transplantation. This increase could be attributed to a unique mutational signature caused by the antiviral drug ganciclovir. Using a machine learning approach, we detected this signature in cancer genomes of individuals who received HSCT or solid organ transplantation earlier in life. Antiviral treatment with nucleoside analogs can cause enhanced mutagenicity in transplant recipients, which may ultimately contribute to therapy-related carcinogenesis.
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Hong Y, Zhang D, Zhou X, Chen A, Abliz A, Bai J, Wang L, Hu Q, Gong K, Guan X, Liu M, Zheng X, Lai S, Qu H, Zhao F, Hao S, Wu Z, Cai H, Hu S, Ma Y, Zhang J, Ke Y, Wang QF, Chen W, Zeng C. Common Postzygotic Mutational Signatures in Healthy Adult Tissues Related to Embryonic Hypoxia. GENOMICS PROTEOMICS & BIOINFORMATICS 2021; 20:177-191. [PMID: 34624550 PMCID: PMC9510933 DOI: 10.1016/j.gpb.2021.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/31/2021] [Accepted: 09/06/2021] [Indexed: 12/04/2022]
Abstract
Postzygotic mutations are acquired in normal tissues throughout an individual’s lifetime and hold clues for identifying mutagenic factors. Here, we investigated postzygotic mutation spectra of healthy individuals using optimized ultra-deep exome sequencing of the time-series samples from the same volunteer as well as the samples from different individuals. In blood, sperm, and muscle cells, we resolved three common types of mutational signatures. Signatures A and B represent clock-like mutational processes, and the polymorphisms of epigenetic regulation genes influence the proportion of signature B in mutation profiles. Notably, signature C, characterized by C>T transitions at GpCpN sites, tends to be a feature of diverse normal tissues. Mutations of this type are likely to occur early during embryonic development, supported by their relatively high allelic frequencies, presence in multiple tissues, and decrease in occurrence with age. Almost none of the public datasets for tumors feature this signature, except for 19.6% of samples of clear cell renal cell carcinoma with increased activation of the hypoxia-inducible factor 1 (HIF-1) signaling pathway. Moreover, the accumulation of signature C in the mutation profile was accelerated in a human embryonic stem cell line with drug-induced activation of HIF-1α. Thus, embryonic hypoxia may explain this novel signature across multiple normal tissues. Our study suggests that hypoxic condition in an early stage of embryonic development is a crucial factor inducing C>T transitions at GpCpN sites; and individuals’ genetic background may also influence their postzygotic mutation profiles.
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Affiliation(s)
- Yaqiang Hong
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Dake Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Xiangtian Zhou
- School of Optometry and Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou 325035, China; The State Key Laboratory of Optometry, Ophthalmology and Vision Science, Wenzhou 325035, China
| | - Aili Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Amir Abliz
- Key Laboratory of Carcinogenesis and Translational Research (MOE), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jian Bai
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Liang Wang
- Skull Base and Brainstem Tumor Division, Department of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing 100050, China
| | - Qingtao Hu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Kenan Gong
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Xiaonan Guan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (MOE), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xinchang Zheng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shujuan Lai
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Hongzhu Qu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Fuxin Zhao
- School of Optometry and Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou 325035, China; The State Key Laboratory of Optometry, Ophthalmology and Vision Science, Wenzhou 325035, China
| | - Shuang Hao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Zhen Wu
- Skull Base and Brainstem Tumor Division, Department of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing 100050, China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (MOE), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Shaoyan Hu
- Department of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou 215025, China
| | - Yue Ma
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Junting Zhang
- Skull Base and Brainstem Tumor Division, Department of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing 100050, China
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (MOE), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Qian-Fei Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Collaborative Innovation Center for Genetics and Development, Shanghai 200438, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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49
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Youk J, Kwon HW, Kim R, Ju YS. Dissecting single-cell genomes through the clonal organoid technique. Exp Mol Med 2021; 53:1503-1511. [PMID: 34663940 PMCID: PMC8569207 DOI: 10.1038/s12276-021-00680-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 07/13/2021] [Indexed: 12/11/2022] Open
Abstract
The revolution in genome sequencing technologies has enabled the comprehensive detection of genomic variations in human cells, including inherited germline polymorphisms, de novo mutations, and postzygotic mutations. When these technologies are combined with techniques for isolating and expanding single-cell DNA, the landscape of somatic mosaicism in an individual body can be systematically revealed at a single-cell resolution. Here, we summarize three strategies (whole-genome amplification, microdissection of clonal patches in the tissue, and in vitro clonal expansion of single cells) that are currently applied for single-cell mutational analyses. Among these approaches, in vitro clonal expansion, particularly via adult stem cell-derived organoid culture technologies, yields the most sensitive and precise catalog of somatic mutations in single cells. Moreover, because it produces living mutant cells, downstream validation experiments and multiomics profiling are possible. Through the synergistic combination of organoid culture and genome sequencing, researchers can track genome changes at a single-cell resolution, which will lead to new discoveries that were previously impossible.
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Affiliation(s)
- Jeonghwan Youk
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
- GENOME INSIGHT Inc, Daejeon, 34051, Republic of Korea
| | - Hyun Woo Kwon
- Department of Nuclear Medicine, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Ryul Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Young Seok Ju
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
- GENOME INSIGHT Inc, Daejeon, 34051, Republic of Korea.
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50
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Robinson PS, Coorens THH, Palles C, Mitchell E, Abascal F, Olafsson S, Lee BCH, Lawson ARJ, Lee-Six H, Moore L, Sanders MA, Hewinson J, Martin L, Pinna CMA, Galavotti S, Rahbari R, Campbell PJ, Martincorena I, Tomlinson I, Stratton MR. Increased somatic mutation burdens in normal human cells due to defective DNA polymerases. Nat Genet 2021; 53:1434-1442. [PMID: 34594041 PMCID: PMC8492474 DOI: 10.1038/s41588-021-00930-y] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 07/28/2021] [Indexed: 02/08/2023]
Abstract
Mutation accumulation in somatic cells contributes to cancer development and is proposed as a cause of aging. DNA polymerases Pol ε and Pol δ replicate DNA during cell division. However, in some cancers, defective proofreading due to acquired POLE/POLD1 exonuclease domain mutations causes markedly elevated somatic mutation burdens with distinctive mutational signatures. Germline POLE/POLD1 mutations cause familial cancer predisposition. Here, we sequenced normal tissue and tumor DNA from individuals with germline POLE/POLD1 mutations. Increased mutation burdens with characteristic mutational signatures were found in normal adult somatic cell types, during early embryogenesis and in sperm. Thus human physiology can tolerate ubiquitously elevated mutation burdens. Except for increased cancer risk, individuals with germline POLE/POLD1 mutations do not exhibit overt features of premature aging. These results do not support a model in which all features of aging are attributable to widespread cell malfunction directly resulting from somatic mutation burdens accrued during life.
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Affiliation(s)
- Philip S Robinson
- Wellcome Sanger Institute, Hinxton, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | | | - Claire Palles
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | | | | | | | - Bernard C H Lee
- Wellcome Sanger Institute, Hinxton, UK
- Hereditary Gastrointestinal Cancer Genetic Diagnosis Laboratory, Department of Pathology, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong
| | | | | | | | - Mathijs A Sanders
- Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | | | - Lynn Martin
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Claudia M A Pinna
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Sara Galavotti
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | | | | | | | - Ian Tomlinson
- Edinburgh Cancer Research Centre, IGMM, University of Edinburgh, Edinburgh, UK.
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