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Loh CA, Shields DA, Schwing A, Evrony GD. High-fidelity, large-scale targeted profiling of microsatellites. Genome Res 2024; 34:1008-1026. [PMID: 39013593 PMCID: PMC11368184 DOI: 10.1101/gr.278785.123] [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: 11/28/2023] [Accepted: 07/11/2024] [Indexed: 07/18/2024]
Abstract
Microsatellites are highly mutable sequences that can serve as markers for relationships among individuals or cells within a population. The accuracy and resolution of reconstructing these relationships depends on the fidelity of microsatellite profiling and the number of microsatellites profiled. However, current methods for targeted profiling of microsatellites incur significant "stutter" artifacts that interfere with accurate genotyping, and sequencing costs preclude whole-genome microsatellite profiling of a large number of samples. We developed a novel method for accurate and cost-effective targeted profiling of a panel of more than 150,000 microsatellites per sample, along with a computational tool for designing large-scale microsatellite panels. Our method addresses the greatest challenge for microsatellite profiling-"stutter" artifacts-with a low-temperature hybridization capture that significantly reduces these artifacts. We also developed a computational tool for accurate genotyping of the resulting microsatellite sequencing data that uses an ensemble approach integrating three microsatellite genotyping tools, which we optimize by analysis of de novo microsatellite mutations in human trios. Altogether, our suite of experimental and computational tools enables high-fidelity, large-scale profiling of microsatellites, which may find utility in diverse applications such as lineage tracing, population genetics, ecology, and forensics.
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Affiliation(s)
- Caitlin A Loh
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Danielle A Shields
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Adam Schwing
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Gilad D Evrony
- Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, New York 10016, USA;
- Department of Pediatrics, Department of Neuroscience & Physiology, Institute for Systems Genetics, Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, New York 10016, USA
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Grody EI, Abraham A, Shukla V, Goyal Y. Toward a systems-level probing of tumor clonality. iScience 2023; 26:106574. [PMID: 37192968 PMCID: PMC10182304 DOI: 10.1016/j.isci.2023.106574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023] Open
Abstract
Cancer has been described as a genetic disease that clonally evolves in the face of selective pressures imposed by cell-intrinsic and extrinsic factors. Although classical models based on genetic data predominantly propose Darwinian mechanisms of cancer evolution, recent single-cell profiling of cancers has described unprecedented heterogeneity in tumors providing support for alternative models of branched and neutral evolution through both genetic and non-genetic mechanisms. Emerging evidence points to a complex interplay between genetic, non-genetic, and extrinsic environmental factors in shaping the evolution of tumors. In this perspective, we briefly discuss the role of cell-intrinsic and extrinsic factors that shape clonal behaviors during tumor progression, metastasis, and drug resistance. Taking examples of pre-malignant states associated with hematological malignancies and esophageal cancer, we discuss recent paradigms of tumor evolution and prospective approaches to further enhance our understanding of this spatiotemporally regulated process.
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Affiliation(s)
- Emanuelle I. Grody
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
- Center for Synthetic Biology, Northwestern University, Chicago, IL 60208, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ajay Abraham
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Center for Human Immunobiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Vipul Shukla
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Center for Human Immunobiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yogesh Goyal
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
- Center for Synthetic Biology, Northwestern University, Chicago, IL 60208, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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Serrano A, Berthelet J, Naik SH, Merino D. Mastering the use of cellular barcoding to explore cancer heterogeneity. Nat Rev Cancer 2022; 22:609-624. [PMID: 35982229 DOI: 10.1038/s41568-022-00500-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/13/2022] [Indexed: 11/09/2022]
Abstract
Tumours are often composed of a multitude of malignant clones that are genomically unique, and only a few of them may have the ability to escape cancer therapy and grow as symptomatic lesions. As a result, tumours with a large degree of genomic diversity have a higher chance of leading to patient death. However, clonal fate can be driven by non-genomic features. In this context, new technologies are emerging not only to track the spatiotemporal fate of individual cells and their progeny but also to study their molecular features using various omics analysis. In particular, the recent development of cellular barcoding facilitates the labelling of tens to millions of cancer clones and enables the identification of the complex mechanisms associated with clonal fate in different microenvironments and in response to therapy. In this Review, we highlight the recent discoveries made using lentiviral-based cellular barcoding techniques, namely genetic and optical barcoding. We also emphasize the strengths and limitations of each of these technologies and discuss some of the key concepts that must be taken into consideration when one is designing barcoding experiments. Finally, we suggest new directions to further improve the use of these technologies in cancer research.
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Affiliation(s)
- Antonin Serrano
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia
| | - Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
| | - Shalin H Naik
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia
| | - Delphine Merino
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia.
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia.
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Sankaran VG, Weissman JS, Zon LI. Cellular barcoding to decipher clonal dynamics in disease. Science 2022; 378:eabm5874. [PMID: 36227997 PMCID: PMC10111813 DOI: 10.1126/science.abm5874] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Cellular barcodes are distinct DNA sequences that enable one to track specific cells across time or space. Recent advances in our ability to detect natural or synthetic cellular barcodes, paired with single-cell readouts of cell state, have markedly increased our knowledge of clonal dynamics and genealogies of the cells that compose a variety of tissues and organs. These advances hold promise to redefine our view of human disease. Here, we provide an overview of cellular barcoding approaches, discuss applications to gain new insights into disease mechanisms, and provide an outlook on future applications. We discuss unanticipated insights gained through barcoding in studies of cancer and blood cell production and describe how barcoding can be applied to a growing array of medical fields, particularly with the increasing recognition of clonal contributions in human diseases.
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Affiliation(s)
- Vijay G Sankaran
- Division of Hematology and Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Jonathan S Weissman
- Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.,David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Leonard I Zon
- Division of Hematology and Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Harvard Stem Cell Institute, Cambridge, MA 02138, USA.,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.,Stem Cell Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
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Wang Z, Moffitt AB, Andrews P, Wigler M, Levy D. Accurate measurement of microsatellite length by disrupting its tandem repeat structure. Nucleic Acids Res 2022; 50:e116. [PMID: 36095132 PMCID: PMC9723644 DOI: 10.1093/nar/gkac723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 08/03/2022] [Accepted: 08/15/2022] [Indexed: 12/24/2022] Open
Abstract
Tandem repeats of simple sequence motifs, also known as microsatellites, are abundant in the genome. Because their repeat structure makes replication error-prone, variant microsatellite lengths are often generated during germline and other somatic expansions. As such, microsatellite length variations can serve as markers for cancer. However, accurate error-free measurement of microsatellite lengths is difficult with current methods precisely because of this high error rate during amplification. We have solved this problem by using partial mutagenesis to disrupt enough of the repeat structure of initial templates so that their sequence lengths replicate faithfully. In this work, we use bisulfite mutagenesis to convert a C to a U, later read as T. Compared to untreated templates, we achieve three orders of magnitude reduction in the error rate per round of replication. By requiring agreement from two independent first copies of an initial template, we reach error rates below one in a million. We apply this method to a thousand microsatellite loci from the human genome, revealing microsatellite length distributions not observable without mutagenesis.
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Affiliation(s)
| | | | - Peter Andrews
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | | | - Dan Levy
- To whom correspondence should be addressed. Tel: +1 516 367 5039; Fax: +1 516 367 8381;
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Whole-Genome Amplification—Surveying Yield, Reproducibility, and Heterozygous Balance, Reported by STR-Targeting MIPs. Int J Mol Sci 2022; 23:ijms23116161. [PMID: 35682839 PMCID: PMC9181316 DOI: 10.3390/ijms23116161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/27/2022] [Accepted: 05/27/2022] [Indexed: 02/01/2023] Open
Abstract
Whole-genome amplification is a crucial first step in nearly all single-cell genomic analyses, with the following steps focused on its products. Bias and variance caused by the whole-genome amplification process add numerous challenges to the world of single-cell genomics. Short tandem repeats are sensitive genomic markers used widely in population genetics, forensics, and retrospective lineage tracing. A previous evaluation of common whole-genome amplification targeting ~1000 non-autosomal short tandem repeat loci is extended here to ~12,000 loci across the entire genome via duplex molecular inversion probes. Other than its improved scale and reduced noise, this system detects an abundance of heterogeneous short tandem repeat loci, allowing the allelic balance to be reported. We show here that while the best overall yield is obtained using RepliG-SC, the maximum uniformity between alleles and reproducibility across cells are maximized by Ampli1, rendering it the best candidate for the comparative heterozygous analysis of single-cell genomes.
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Tao L, Marx Z, Raz O, Shapiro E. Efficient acquisition of tens of thousands of short tandem repeats in single-cell whole-genome-amplified DNA. STAR Protoc 2021; 2:100828. [PMID: 34585162 PMCID: PMC8452885 DOI: 10.1016/j.xpro.2021.100828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Short tandem repeats (STRs) are highly abundant in the human genome, but existing approaches for accurate genotyping of STRs are limited. Here, we describe a protocol for duplex molecular inversion probes for high-throughput and cost-effective STR enrichment. We have successfully tested panels targeting as many as 50K STRs in several thousands of genomic samples (e.g., HeLa cells, Du145 cells, leukemia cells, melanoma cells). However, because the protocol is plate based, the sample size is limited to a few thousand. For complete details on the use and execution of this protocol, please refer to Tao et al. (2021).
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Affiliation(s)
- Liming Tao
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 761001, Israel
| | - Zipora Marx
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 761001, Israel
| | - Ofir Raz
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 761001, Israel
| | - Ehud Shapiro
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 761001, Israel
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