1
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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; 25:698-714. [PMID: 38605218 PMCID: PMC11408116 DOI: 10.1038/s41576-024-00715-z] [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] [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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2
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Graham JH, Schlachetzki JCM, Yang X, Breuss MW. Genomic Mosaicism of the Brain: Origin, Impact, and Utility. Neurosci Bull 2024; 40:759-776. [PMID: 37898991 PMCID: PMC11178748 DOI: 10.1007/s12264-023-01124-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/16/2023] [Indexed: 10/31/2023] Open
Abstract
Genomic mosaicism describes the phenomenon where some but not all cells within a tissue harbor unique genetic mutations. Traditionally, research focused on the impact of genomic mosaicism on clinical phenotype-motivated by its involvement in cancers and overgrowth syndromes. More recently, we increasingly shifted towards the plethora of neutral mosaic variants that can act as recorders of cellular lineage and environmental exposures. Here, we summarize the current state of the field of genomic mosaicism research with a special emphasis on our current understanding of this phenomenon in brain development and homeostasis. Although the field of genomic mosaicism has a rich history, technological advances in the last decade have changed our approaches and greatly improved our knowledge. We will provide current definitions and an overview of contemporary detection approaches for genomic mosaicism. Finally, we will discuss the impact and utility of genomic mosaicism.
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Affiliation(s)
- Jared H Graham
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, 80045-2581, CO, USA
| | - Johannes C M Schlachetzki
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, 92093-0021, San Diego, CA, USA
| | - Xiaoxu Yang
- Department of Neurosciences, University of California San Diego, La Jolla, 92093-0021, San Diego, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, 92123, CA, USA
| | - Martin W Breuss
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, 80045-2581, CO, USA.
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3
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Roemen GMJM, Theunissen TEJ, Hoezen WWJ, Steyls ARM, Paulussen ADC, Mosterd K, Rahikkala E, zur Hausen A, Speel EJM, van Geel M. Detection of PTCH1 Copy-Number Variants in Mosaic Basal Cell Nevus Syndrome. Biomedicines 2024; 12:330. [PMID: 38397932 PMCID: PMC10886644 DOI: 10.3390/biomedicines12020330] [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: 12/28/2023] [Revised: 01/20/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024] Open
Abstract
Basal cell nevus syndrome (BCNS) is an inherited disorder characterized mainly by the development of basal cell carcinomas (BCCs) at an early age. BCNS is caused by heterozygous small-nucleotide variants (SNVs) and copy-number variants (CNVs) in the Patched1 (PTCH1) gene. Genetic diagnosis may be complicated in mosaic BCNS patients, as accurate SNV and CNV analysis requires high-sensitivity methods due to possible low variant allele frequencies. We compared test outcomes for PTCH1 CNV detection using multiplex ligation-probe amplification (MLPA) and digital droplet PCR (ddPCR) with samples from a BCNS patient heterozygous for a PTCH1 CNV duplication and the patient's father, suspected to have a mosaic form of BCNS. ddPCR detected a significantly increased PTCH1 copy-number ratio in the index patient's blood, and the father's blood and tissues, indicating that the father was postzygotic mosaic and the index patient inherited the CNV from him. MLPA only detected the PTCH1 duplication in the index patient's blood and in hair and saliva from the mosaic father. Our data indicate that ddPCR more accurately detects CNVs, even in low-grade mosaic BCNS patients, which may be missed by MLPA. In general, quantitative ddPCR can be of added value in the genetic diagnosis of mosaic BCNS patients and in estimating the recurrence risk for offspring.
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Affiliation(s)
- Guido M. J. M. Roemen
- Department of Pathology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands; (T.E.J.T.)
- GROW School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands; (A.D.C.P.)
| | - Tom E. J. Theunissen
- Department of Pathology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands; (T.E.J.T.)
- GROW School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands; (A.D.C.P.)
| | - Ward W. J. Hoezen
- Department of Dermatology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
| | - Anja R. M. Steyls
- Department of Clinical Genetics, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
| | - Aimee D. C. Paulussen
- GROW School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands; (A.D.C.P.)
- Department of Clinical Genetics, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
| | - Klara Mosterd
- GROW School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands; (A.D.C.P.)
- Department of Dermatology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
| | - Elisa Rahikkala
- Research Unit of Clinical Medicine, Department of Clinical Genetics, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, 90570 Oulu, Finland
| | - Axel zur Hausen
- Department of Pathology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands; (T.E.J.T.)
- GROW School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands; (A.D.C.P.)
| | - Ernst Jan M. Speel
- Department of Pathology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands; (T.E.J.T.)
- GROW School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands; (A.D.C.P.)
| | - Michel van Geel
- GROW School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands; (A.D.C.P.)
- Department of Dermatology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
- Department of Clinical Genetics, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands;
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4
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Cook CB, Armstrong L, Boerkoel CF, Clarke LA, du Souich C, Demos MK, Gibson WT, Gill H, Lopez E, Patel MS, Selby K, Abu-Sharar Z, Elliott AM, Friedman JM. Somatic mosaicism detected by genome-wide sequencing in 500 parent-child trios with suspected genetic disease: clinical and genetic counseling implications. Cold Spring Harb Mol Case Stud 2021; 7:mcs.a006125. [PMID: 34697084 PMCID: PMC8751411 DOI: 10.1101/mcs.a006125] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/13/2021] [Indexed: 01/28/2023] Open
Abstract
Identifying genetic mosaicism is important in establishing a diagnosis, assessing recurrence risk, and providing accurate genetic counseling. Next-generation sequencing has allowed for the identification of mosaicism at levels below those detectable by conventional Sanger sequencing or chromosomal microarray analysis. The CAUSES Clinic was a pediatric translational trio-based genome-wide (exome or genome) sequencing study of 500 families (531 children) with suspected genetic disease at BC Children's and Women's Hospitals. Here we present 12 cases of apparent mosaicism identified in the CAUSES cohort: nine cases of parental mosaicism for a disease-causing variant found in a child and three cases of mosaicism in the proband for a de novo variant. In six of these cases, there was no evidence of mosaicism on Sanger sequencing—the variant was not detected on Sanger sequencing in three cases, and it appeared to be heterozygous in three others. These cases are examples of six clinical manifestations of mosaicism: a proband with classical clinical features of mosaicism (e.g., segmental abnormalities of skin pigmentation or asymmetrical growth of bilateral body parts), a proband with unusually mild manifestations of a disease, a mosaic proband who is clinically indistinguishable from the constitutive phenotype, a mosaic parent with no clinical features of the disease, a mosaic parent with mild manifestations of the disease, and a family in which both parents are unaffected and two siblings have the same disease-causing constitutional mutation. Our data demonstrate the importance of considering the possibility of mosaicism whenever exome or genome sequencing is performed and that its detection via genome-wide sequencing can permit more accurate genetic counseling.
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Affiliation(s)
- Courtney B Cook
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1
| | - Linlea Armstrong
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1.,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada V5Z 4H4
| | - Cornelius F Boerkoel
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1
| | - Lorne A Clarke
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1
| | - Christèle du Souich
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1.,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada V5Z 4H4
| | - Michelle K Demos
- Division of Neurology, Department of Pediatrics, BC Children's Hospital, Vancouver, British Columbia, Canada V6H 0B3
| | - William T Gibson
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1.,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada V5Z 4H4
| | - Harinder Gill
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1
| | - Elena Lopez
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1
| | - Millan S Patel
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1
| | - Kathryn Selby
- Division of Neurology, Department of Pediatrics, BC Children's Hospital, Vancouver, British Columbia, Canada V6H 0B3
| | - Ziad Abu-Sharar
- Division of Neurology, Department of Pediatrics, BC Children's Hospital, Vancouver, British Columbia, Canada V6H 0B3
| | | | - Alison M Elliott
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1.,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada V5Z 4H4.,Women's Health Research Institute, Vancouver, British Columbia, Canada V6H 2N9
| | - Jan M Friedman
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6H 3N1.,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada V5Z 4H4
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5
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Abstract
Somatic mutations arise postzygotically, producing genetic differences between cells in an organism. Well established as a driver of cancer, somatic mutations also exist in nonneoplastic cells, including in the brain. Technological advances in nucleic acid sequencing have enabled recent break-throughs that illuminate the roles of somatic mutations in aging and degenerative diseases of the brain. Somatic mutations accumulate during aging in human neurons, a process termed genosenium. A number of recent studies have examined somatic mutations in Alzheimer’s disease (AD), primarily from the perspective of genes causing familial AD. We have also gained new information on genome-wide mutations, providing insights into the cellular events driving somatic mutation and cellular dysfunction. This review highlights recent concepts, methods, and findings in the progress to understand the role of brain somatic mutation in aging and AD.
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Affiliation(s)
- Michael B Miller
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA; .,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts 02115, USA.,Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA; .,Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Hannah C Reed
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA; .,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts 02115, USA.,Allegheny College, Meadville, Pennsylvania 16335, USA;
| | - Christopher A Walsh
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA; .,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts 02115, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Howard Hughes Medical Institute, Boston, Massachusetts 02115, USA.,Department of Neurology, Harvard Medical School, Boston, Massachusetts 02115, USA
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6
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Glessner JT, Chang X, Liu Y, Li J, Khan M, Wei Z, Sleiman PMA, Hakonarson H. MONTAGE: a new tool for high-throughput detection of mosaic copy number variation. BMC Genomics 2021; 22:133. [PMID: 33627065 PMCID: PMC7905641 DOI: 10.1186/s12864-021-07395-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 01/19/2021] [Indexed: 01/21/2023] Open
Abstract
Background Not all cells in a given individual are identical in their genomic makeup. Mosaicism describes such a phenomenon where a mixture of genotypic states in certain genomic segments exists within the same individual. Mosaicism is a prevalent and impactful class of non-integer state copy number variation (CNV). Mosaicism implies that certain cell types or subset of cells contain a CNV in a segment of the genome while other cells in the same individual do not. Several studies have investigated the impact of mosaicism in single patients or small cohorts but no comprehensive scan of mosaic CNVs has been undertaken to accurately detect such variants and interpret their impact on human health and disease. Results We developed a tool called Montage to improve the accuracy of detection of mosaic copy number variants in a high throughput fashion. Montage directly interfaces with ParseCNV2 algorithm to establish disease phenotype genome-wide association and determine which genomic ranges had more or less than expected frequency of mosaic events. We screened for mosaic events in over 350,000 samples using 1% allele frequency as the detection limit. Additionally, we uncovered disease associations of multiple phenotypes with mosaic CNVs at several genomic loci. We additionally investigated the allele imbalance observations genome-wide to define non-diploid and non-integer copy number states. Conclusions Our novel algorithm presents an efficient tool with fast computational runtime and high levels of accuracy of mosaic CNV detection. A curated mosaic CNV callset of 3716 events in 2269 samples is presented with comparability to previous reports and disease phenotype associations. The new algorithm can be freely accessed via: https://github.com/CAG-CNV/MONTAGE. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07395-7.
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Affiliation(s)
- Joseph T Glessner
- Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA. .,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
| | - Xiao Chang
- Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Yichuan Liu
- Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Jin Li
- Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Munir Khan
- Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Zhi Wei
- New Jersey Institute of Technology, Newark, NJ, 07102, USA
| | - Patrick M A Sleiman
- Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Hakon Hakonarson
- Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
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7
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Doan RN, Miller MB, Kim SN, Rodin RE, Ganz J, Bizzotto S, Morillo KS, Huang AY, Digumarthy R, Zemmel Z, Walsh CA. MIPP-Seq: ultra-sensitive rapid detection and validation of low-frequency mosaic mutations. BMC Med Genomics 2021; 14:47. [PMID: 33579278 PMCID: PMC7881461 DOI: 10.1186/s12920-021-00893-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/03/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Mosaic mutations contribute to numerous human disorders. As such, the identification and precise quantification of mosaic mutations is essential for a wide range of research applications, clinical diagnoses, and early detection of cancers. Currently, the low-throughput nature of single allele assays (e.g., allele-specific ddPCR) commonly used for genotyping known mutations at very low alternate allelic fractions (AAFs) have limited the integration of low-level mosaic analyses into clinical and research applications. The growing importance of mosaic mutations requires a more rapid, low-cost solution for mutation detection and validation. METHODS To overcome these limitations, we developed Multiple Independent Primer PCR Sequencing (MIPP-Seq) which combines the power of ultra-deep sequencing and truly independent assays. The accuracy of MIPP-seq to quantifiable detect and measure extremely low allelic fractions was assessed using a combination of SNVs, insertions, and deletions at known allelic fractions in blood and brain derived DNA samples. RESULTS The Independent amplicon analyses of MIPP-Seq markedly reduce the impact of allelic dropout, amplification bias, PCR-induced, and sequencing artifacts. Using low DNA inputs of either 25 ng or 50 ng of DNA, MIPP-Seq provides sensitive and quantitative assessments of AAFs as low as 0.025% for SNVs, insertion, and deletions. CONCLUSIONS MIPP-Seq provides an ultra-sensitive, low-cost approach for detecting and validating known and novel mutations in a highly scalable system with broad utility spanning both research and clinical diagnostic testing applications. The scalability of MIPP-Seq allows for multiplexing mutations and samples, which dramatically reduce costs of variant validation when compared to methods like ddPCR. By leveraging the power of individual analyses of multiple unique and independent reactions, MIPP-Seq can validate and precisely quantitate extremely low AAFs across multiple tissues and mutational categories including both indels and SNVs. Furthermore, using Illumina sequencing technology, MIPP-seq provides a robust method for accurate detection of novel mutations at an extremely low AAF.
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Affiliation(s)
- Ryan N Doan
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA.
- Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA.
| | - Michael B Miller
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Sonia N Kim
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
- Program in Biological and Biomedical Sciences, Harvard University, Boston, MA, USA
| | - Rachel E Rodin
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
| | - Javier Ganz
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
| | - Sara Bizzotto
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
| | - Katherine S Morillo
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
| | - August Yue Huang
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
| | - Reethika Digumarthy
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
| | - Zachary Zemmel
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA
| | - Christopher A Walsh
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Center for Life Sciences 15062, 300 Longwood Avenue, BCH3150, Boston, MA, 02115, USA.
- Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA.
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA.
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8
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Zhu X, Zhou B, Pattni R, Gleason K, Tan C, Kalinowski A, Sloan S, Fiston-Lavier AS, Mariani J, Petrov D, Barres BA, Duncan L, Abyzov A, Vogel H, Moran JV, Vaccarino FM, Tamminga CA, Levinson DF, Urban AE. Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia. Nat Neurosci 2021; 24:186-196. [PMID: 33432196 PMCID: PMC8806165 DOI: 10.1038/s41593-020-00767-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 11/21/2020] [Indexed: 02/06/2023]
Abstract
Retrotransposons can cause somatic genome variation in the human nervous system, which is hypothesized to have relevance to brain development and neuropsychiatric disease. However, the detection of individual somatic mobile element insertions presents a difficult signal-to-noise problem. Using a machine-learning method (RetroSom) and deep whole-genome sequencing, we analyzed L1 and Alu retrotransposition in sorted neurons and glia from human brains. We characterized two brain-specific L1 insertions in neurons and glia from a donor with schizophrenia. There was anatomical distribution of the L1 insertions in neurons and glia across both hemispheres, indicating retrotransposition occurred during early embryogenesis. Both insertions were within the introns of genes (CNNM2 and FRMD4A) inside genomic loci associated with neuropsychiatric disorders. Proof-of-principle experiments revealed these L1 insertions significantly reduced gene expression. These results demonstrate that RetroSom has broad applications for studies of brain development and may provide insight into the possible pathological effects of somatic retrotransposition.
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Affiliation(s)
- Xiaowei Zhu
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
- Department of Genetics, Stanford University, Palo Alto, CA, USA
| | - Bo Zhou
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
- Department of Genetics, Stanford University, Palo Alto, CA, USA
| | - Reenal Pattni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
- Department of Genetics, Stanford University, Palo Alto, CA, USA
| | - Kelly Gleason
- Division of Translational Research in Schizophrenia, Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Chunfeng Tan
- Division of Translational Research in Schizophrenia, Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Agnieszka Kalinowski
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Steven Sloan
- Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Anna-Sophie Fiston-Lavier
- Institut des Sciences de l'Evolution de Montpellier (UMR 5554, CNRS-UM-IRD-EPHE), Université de Montpellier, Montpellier, France
| | | | - Dmitri Petrov
- Department of Biology, Stanford University, Palo Alto, CA, USA
| | - Ben A Barres
- Department of Neurobiology, Stanford University, Palo Alto, CA, USA
| | - Laramie Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Alexej Abyzov
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Hannes Vogel
- Department of Pathology, Stanford University, Palo Alto, CA, USA
| | - John V Moran
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Flora M Vaccarino
- Child Study Center, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Carol A Tamminga
- Division of Translational Research in Schizophrenia, Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Douglas F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Alexander E Urban
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
- Department of Genetics, Stanford University, Palo Alto, CA, USA.
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9
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Koebley SR, Mikheikin A, Leslie K, Guest D, McConnell-Wells W, Lehman JH, Al Juhaishi T, Zhang X, Roberts CH, Picco L, Toor A, Chesney A, Reed J. Digital Polymerase Chain Reaction Paired with High-Speed Atomic Force Microscopy for Quantitation and Length Analysis of DNA Length Polymorphisms. ACS NANO 2020; 14:15385-15393. [PMID: 33169971 DOI: 10.1021/acsnano.0c05897] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
DNA length polymorphisms are found in many serious diseases, and assessment of their length and abundance is often critical for accurate diagnosis. However, measuring their length and frequency in a mostly wild-type background, as occurs in many situations, remains challenging due to their variable and repetitive nature. To overcome these hurdles, we combined two powerful techniques, digital polymerase chain reaction (dPCR) and high-speed atomic force microscopy (HSAFM), to create a simple, rapid, and flexible method for quantifying both the size and proportion of DNA length polymorphisms. In our approach, individual amplicons from each dPCR partition are imaged and sized directly. We focused on internal tandem duplications (ITDs) located within the FLT3 gene, which are associated with acute myeloid leukemia and often indicative of a poor prognosis. In an analysis of over 1.5 million HSAFM-imaged amplicons from cell line and clinical samples containing FLT3-ITDs, dPCR-HSAFM returned the expected variant length and variant allele frequency, down to 5% variant samples. As a high-throughput method with single-molecule resolution, dPCR-HSAFM thus represents an advance in HSAFM analysis and a powerful tool for the diagnosis of length polymorphisms.
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Affiliation(s)
- Sean R Koebley
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Andrey Mikheikin
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Kevin Leslie
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Daniel Guest
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Wendy McConnell-Wells
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Joshua H Lehman
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Taha Al Juhaishi
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia 23298, United States
| | - Xiaojie Zhang
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia 23298, United States
| | - Catherine H Roberts
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia 23298, United States
| | - Loren Picco
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Amir Toor
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia 23298, United States
| | - Alden Chesney
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia 23298, United States
| | - Jason Reed
- Physics Department, Virginia Commonwealth University, Richmond, Virginia 23284, United States
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia 23298, United States
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10
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Qian Y, Liu J, Yang Y, Chen M, Jin C, Chen P, Lei Y, Pan H, Dong M. Paternal Low-Level Mosaicism-Caused SATB2-Associated Syndrome. Front Genet 2019; 10:630. [PMID: 31333717 PMCID: PMC6614923 DOI: 10.3389/fgene.2019.00630] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 06/17/2019] [Indexed: 12/27/2022] Open
Abstract
Mutations of SATB2 (OMIM#608148) gene at 2q33.1 have been associated with the autosomal dominant SATB2-associated syndrome (SAS), which is still short of comprehensive diagnosis technologies for small deletions and low-level mosaicism. In this Chinese Han family, single nucleotide polymorphism array identified a 4.9-kb deletion in the SATB2 gene in two consecutive siblings exhibiting obvious developmental delay and dental abnormalities but failed to find so in their parents. Prenatal diagnosis revealed that their third child carried the same deletion in SATB2 and the pregnancy was terminated. To determine the genetic causes behind the inheritance of SATB2 deletion, gap-PCR was performed on peripheral blood-derived genomic DNA of the family and semen-derived DNA from the father. Gap-PCR that revealed the deletions in the two affected siblings were inherited from the father, while the less intense mutant band indicated the mosaicism of this mutation in the father. The deletion was 3,013 bp in size, spanning from chr2: 200,191,313-200,194,324 (hg19), and covering the entire exon 9 and part of intron 8 and 9 sequences. Droplet digital PCR demonstrated mosaicism percentage of 13.2% and 16.7% in peripheral blood-derived genomic DNA and semen-derived DNA of the father, respectively. Hereby, we describe a family of special AT-rich sequence-binding protein 2-associated syndrome caused by paternal low-level mosaicism and provide effective diagnostic technologies for intragenic deletions.
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Affiliation(s)
- Yeqing Qian
- Women's Hospital, School of Medicine Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, Hangzhou, China
| | - Jiao Liu
- Prenatal Diagnosis Center, Lishui Maternity and Child Health Care Hospital, Lishui, China
| | - Yanmei Yang
- Women's Hospital, School of Medicine Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, Hangzhou, China
| | - Min Chen
- Women's Hospital, School of Medicine Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, Hangzhou, China
| | - Chunlei Jin
- Prenatal Diagnosis Center, Lishui Maternity and Child Health Care Hospital, Lishui, China
| | - Penglong Chen
- Prenatal Diagnosis Center, Lishui Maternity and Child Health Care Hospital, Lishui, China
| | - Yongliang Lei
- Prenatal Diagnosis Center, Lishui Maternity and Child Health Care Hospital, Lishui, China
| | - Hangyi Pan
- Women's Hospital, School of Medicine Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, Hangzhou, China
| | - Minyue Dong
- Women's Hospital, School of Medicine Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, Hangzhou, China
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11
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Chen-Yin O, Vu T, Grunwald JT, Toledano M, Zimak J, Toosky M, Shen B, Zell JA, Gratton E, Abram T, Zhao W. An ultrasensitive test for profiling circulating tumor DNA using integrated comprehensive droplet digital detection. LAB ON A CHIP 2019; 19:993-1005. [PMID: 30735225 PMCID: PMC6559803 DOI: 10.1039/c8lc01399c] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Current cancer detection systems lack the required sensitivity to reliably detect minimal residual disease (MRD) and recurrence at the earliest stages when treatment would be most effective. To address this issue, we present a novel liquid biopsy approach that utilizes an integrated comprehensive droplet digital detection (IC3D) digital PCR system which combines microfluidic droplet partitioning, fluorescent multiplex PCR chemistry, and our rapid 3D, large-volume droplet counting technology. The IC3D ddPCR assay can detect cancer-specific, ultra-rare genomic targets due to large sample input and high degree of partitioning. We first demonstrate our droplet digital PCR assay can robustly detect common cancer mutants including KRAS G12D spiked in wild-type genomic background or isolated from patient samples with 100% specificity. We then demonstrate that the IC3D ddPCR system can detect oncogenic KRAS G12D mutant alleles against a background of wild-type genomes at a sensitivity of 0.00125-0.005% with a false positive rate of 0% which is 50 to 1000× more sensitive than existing commercial liquid biopsy ddPCR and qPCR platforms, respectively. In addition, our technology can uniquely enable detection of circulating tumor cells using their genetic markers without a pre-enrichment step, and analysis of total tumor DNA isolated from blood samples, which will increase clinical sensitivity and specificity, and minimize inter-assay variability. Therefore, our technology holds the potential to provide clinicians with a powerful decision-making tool to monitor and treat MRD with unprecedented sensitivity for earlier stage intervention.
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Affiliation(s)
- Ou Chen-Yin
- Velox Biosystems, 5 Mason, Suite 160, Irvine, CA 92618, USA
| | - Tam Vu
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA 92697, USA
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | | | - Michael Toledano
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA 92697, USA
| | - Jan Zimak
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA 92697, USA
| | - Melody Toosky
- Velox Biosystems, 5 Mason, Suite 160, Irvine, CA 92618, USA
| | - Byron Shen
- Velox Biosystems, 5 Mason, Suite 160, Irvine, CA 92618, USA
| | - Jason A. Zell
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA 92697, USA
- Division of Hematology/Oncology, University of California Irvine Medical Center, Orange, USA
| | - Enrico Gratton
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA
| | - Tim Abram
- Velox Biosystems, 5 Mason, Suite 160, Irvine, CA 92618, USA
| | - Weian Zhao
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA 92697, USA
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, USA
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA 92697, USA
- Edwards Life Sciences Center for Advanced Cardiovascular Technology, University of California, Irvine, Irvine, CA 92697, USA
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA 92697, USA
- Division of Hematology/Oncology, University of California Irvine Medical Center, Orange, USA
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12
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Approaches and Methods for Variant Analysis in the Genome of a Single Cell. HEALTHY AGEING AND LONGEVITY 2019. [DOI: 10.1007/978-3-030-24970-0_14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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