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Amato M, Squire JA, Franco R, Zito Marino F. Multitarget Fluorescence In Situ Hybridization Diagnostic Applications in Tumors. Methods Mol Biol 2024; 2825:173-184. [PMID: 38913309 DOI: 10.1007/978-1-0716-3946-7_9] [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] [Indexed: 06/25/2024]
Abstract
Multitarget fluorescence in situ hybridization (mFISH) is a technique that allows the detection of multiple target sequences on the same sample using spectrally distinct fluorophore labels. The mFISH approach is currently a useful assay in the oncologic field for the detection of predictive, prognostic, and diagnostic biomarkers. In this chapter, we summarize the application of mFISH in the identification of target genetic aberrations in formalin-fixed, paraffin-embedded (FFPE) tissue samples of several tumor types. We discuss the mFISH protocols in FFPE samples, the innovative multitarget probes used, and the critical issues related to their interpretation.
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Affiliation(s)
- Martina Amato
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Jeremy A Squire
- Departments of Genetics, University of Sao Paulo, Ribeirão Preto, SP, Brazil
| | - Renato Franco
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Federica Zito Marino
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Naples, Italy
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Athaya T, Ripan RC, Li X, Hu H. Multimodal deep learning approaches for single-cell multi-omics data integration. Brief Bioinform 2023; 24:bbad313. [PMID: 37651607 PMCID: PMC10516349 DOI: 10.1093/bib/bbad313] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/23/2023] [Accepted: 07/18/2023] [Indexed: 09/02/2023] Open
Abstract
Integrating single-cell multi-omics data is a challenging task that has led to new insights into complex cellular systems. Various computational methods have been proposed to effectively integrate these rapidly accumulating datasets, including deep learning. However, despite the proven success of deep learning in integrating multi-omics data and its better performance over classical computational methods, there has been no systematic study of its application to single-cell multi-omics data integration. To fill this gap, we conducted a literature review to explore the use of multimodal deep learning techniques in single-cell multi-omics data integration, taking into account recent studies from multiple perspectives. Specifically, we first summarized different modalities found in single-cell multi-omics data. We then reviewed current deep learning techniques for processing multimodal data and categorized deep learning-based integration methods for single-cell multi-omics data according to data modality, deep learning architecture, fusion strategy, key tasks and downstream analysis. Finally, we provided insights into using these deep learning models to integrate multi-omics data and better understand single-cell biological mechanisms.
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Affiliation(s)
- Tasbiraha Athaya
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
| | - Rony Chowdhury Ripan
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
| | - Xiaoman Li
- Burnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, Florida, United States of America
| | - Haiyan Hu
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
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Tingey M, Schnell SJ, Yu W, Saredy J, Junod S, Patel D, Alkurdi AA, Yang W. Technologies Enabling Single-Molecule Super-Resolution Imaging of mRNA. Cells 2022; 11:cells11193079. [PMID: 36231040 PMCID: PMC9564294 DOI: 10.3390/cells11193079] [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] [Received: 08/13/2022] [Revised: 09/22/2022] [Accepted: 09/28/2022] [Indexed: 11/16/2022] Open
Abstract
The transient nature of RNA has rendered it one of the more difficult biological targets for imaging. This difficulty stems both from the physical properties of RNA as well as the temporal constraints associated therewith. These concerns are further complicated by the difficulty in imaging endogenous RNA within a cell that has been transfected with a target sequence. These concerns, combined with traditional concerns associated with super-resolution light microscopy has made the imaging of this critical target difficult. Recent advances have provided researchers the tools to image endogenous RNA in live cells at both the cellular and single-molecule level. Here, we review techniques used for labeling and imaging RNA with special emphases on various labeling methods and a virtual 3D super-resolution imaging technique.
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Horst EN, Bregenzer ME, Mehta P, Snyder CS, Repetto T, Yang-Hartwich Y, Mehta G. Personalized models of heterogeneous 3D epithelial tumor microenvironments: Ovarian cancer as a model. Acta Biomater 2021; 132:401-420. [PMID: 33940195 PMCID: PMC8969826 DOI: 10.1016/j.actbio.2021.04.041] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 04/15/2021] [Accepted: 04/20/2021] [Indexed: 02/07/2023]
Abstract
Intractable human diseases such as cancers, are context dependent, unique to both the individual patient and to the specific tumor microenvironment. However, conventional cancer treatments are often nonspecific, targeting global similarities rather than unique drivers. This limits treatment efficacy across heterogeneous patient populations and even at different tumor locations within the same patient. Ultimately, this poor efficacy can lead to adverse clinical outcomes and the development of treatment-resistant relapse. To prevent this and improve outcomes, it is necessary to be selective when choosing a patient's optimal adjuvant treatment. In this review, we posit the use of personalized, tumor-specific models (TSM) as tools to achieve this remarkable feat. First, using ovarian cancer as a model disease, we outline the heterogeneity and complexity of both the cellular and extracellular components in the tumor microenvironment. Then we examine the advantages and disadvantages of contemporary cancer models and the rationale for personalized TSM. We discuss how to generate precision 3D models through careful and detailed analysis of patient biopsies. Finally, we provide clinically relevant applications of these versatile personalized cancer models to highlight their potential impact. These models are ideal for a myriad of fundamental cancer biology and translational studies. Importantly, these approaches can be extended to other carcinomas, facilitating the discovery of new therapeutics that more effectively target the unique aspects of each individual patient's TME. STATEMENT OF SIGNIFICANCE: In this article, we have presented the case for the application of biomaterials in developing personalized models of complex diseases such as cancers. TSM could bring about breakthroughs in the promise of precision medicine. The critical components of the diverse tumor microenvironments, that lead to treatment failures, include cellular- and extracellular matrix- heterogeneity, and biophysical signals to the cells. Therefore, we have described these dynamic components of the tumor microenvironments, and have highlighted how contemporary biomaterials can be utilized to create personalized in vitro models of cancers. We have also described the application of the TSM to predict the dynamic patterns of disease progression, and predict effective therapies that can produce durable responses, limit relapses, and treat any minimal residual disease.
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Affiliation(s)
- Eric N Horst
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - Michael E Bregenzer
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - Pooja Mehta
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - Catherine S Snyder
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - Taylor Repetto
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, United States
| | - Yang Yang-Hartwich
- Department of Obstetrics, Gynecology & Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, CT 06510, United States
| | - Geeta Mehta
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States; Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, United States; Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI 48109, United States; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, United States; Precision Health, University of Michigan, Ann Arbor, MI 48109, United States.
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Veselinyová D, Mašlanková J, Kalinová K, Mičková H, Mareková M, Rabajdová M. Selected In Situ Hybridization Methods: Principles and Application. Molecules 2021; 26:molecules26133874. [PMID: 34202914 PMCID: PMC8270300 DOI: 10.3390/molecules26133874] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/04/2021] [Accepted: 06/08/2021] [Indexed: 12/14/2022] Open
Abstract
We are experiencing rapid progress in all types of imaging techniques used in the detection of various numbers and types of mutation. In situ hybridization (ISH) is the primary technique for the discovery of mutation agents, which are presented in a variety of cells. The ability of DNA to complementary bind is one of the main principles in every method used in ISH. From the first use of in situ techniques, scientists paid attention to the improvement of the probe design and detection, to enhance the fluorescent signal intensity and inhibition of cross-hybrid presence. This article discusses the individual types and modifications, and is focused on explaining the principles and limitations of ISH division on different types of probes. The article describes a design of probes for individual types of in situ hybridization (ISH), as well as the gradual combination of several laboratory procedures to achieve the highest possible sensitivity and to prevent undesirable events accompanying hybridization. The article also informs about applications of the methodology, in practice and in research, to detect cell to cell communication and principles of gene silencing, process of oncogenesis, and many other unknown processes taking place in organisms at the DNA/RNA level.
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Affiliation(s)
- Dominika Veselinyová
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
| | - Jana Mašlanková
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
- Correspondence:
| | - Katarina Kalinová
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
| | - Helena Mičková
- Department of Medical Biology, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia;
| | - Mária Mareková
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
| | - Miroslava Rabajdová
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011 Košice, Slovakia; (D.V.); (K.K.); (M.M.); (M.R.)
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Zito Marino F, Brunelli M, Rossi G, Calabrese G, Caliò A, Nardiello P, Martignoni G, Squire JA, Cheng L, Massi D, Franco R. Multitarget fluorescence in situ hybridization diagnostic applications in solid and hematological tumors. Expert Rev Mol Diagn 2021; 21:161-173. [PMID: 33593207 DOI: 10.1080/14737159.2021.1887733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Introduction: Multitarget FISH (mFISH) is a technique allowing for simultaneous detection of multiple targets sequences on the same slide through the choice of spectrally distinct fluorophore labels. The mFISH could represent a useful tool in the field of precision oncology.Areas covered: This review discusses the potential applications of mFISH technology in the molecular diagnosis of different solid and hematological tumors, including non-small cell lung cancers, melanomas, renal cell carcinomas, bladder carcinomas, germ cell tumors, and multiple myeloma, as commonly required in the clinical practice.Expert Opinion: In this emerging era of the tailored therapies and newer histo-molecular classifications, there are increasing numbers of predictive and diagnostic biomarkers required for effective clinical care. The mFISH approach may have several applications in the common clinical practice, improving the molecular diagnosis in terms of time, cost and preservation of biomaterial for tumors with a limited amount of tumor available. The mFISH provides several advantages compared to other high-throughput technologies; however, it requires high level of expertise required to interpret complex results.
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Affiliation(s)
- Federica Zito Marino
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
| | - Matteo Brunelli
- Department of Pathology, University of Verona, Verona, Italy
| | - Giulio Rossi
- Pathology Unit, Ospedale Santa Maria Delle Croci, Ravenna, Italy
| | | | - Anna Caliò
- Department of Pathology, University of Verona, Verona, Italy
| | - Pamela Nardiello
- Section of Pathology, Department of Health Sciences, University of Florence Florence, Italy
| | - Guido Martignoni
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Jeremy A Squire
- Departments of Genetics, University of Sao Paulo, Ribeirão Preto, Brazil
| | - Liang Cheng
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Daniela Massi
- Section of Pathology, Department of Health Sciences, University of Florence Florence, Italy
| | - Renato Franco
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
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Zito Marino F, Rossi G, Cozzolino I, Montella M, Micheli M, Bogina G, Munari E, Brunelli M, Franco R. Multiplex fluorescence in situ hybridisation to detect anaplastic lymphoma kinase and ROS proto-oncogene 1 receptor tyrosine kinase rearrangements in lung cancer cytological samples. J Clin Pathol 2019; 73:96-101. [PMID: 31562206 DOI: 10.1136/jclinpath-2019-206152] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 09/06/2019] [Accepted: 09/11/2019] [Indexed: 01/17/2023]
Abstract
AIMS Several predictive biomarkers of response to specific inhibitors have become mandatory for the therapeutic choice in non-small-cell lung cancer (NSCLC). In most lung cancer patients, the biological materials available to morphological and molecular diagnosis are exclusively cytological samples and minimum tumour wastage is necessary. Multiplex fluorescence in situ hybridisation (mFISH) to detect simultaneously ALK-rearrangement and ROS1-rearrangement on a single slide could be useful in clinical practice to save cytological samples for further molecular analysis. In this study, we aim to validate diagnostic performance of multiplex ALK/ROS1 fluorescence in situ hybridisation (FISH) approach in lung adenocarcinoma cytological series compared with classic single break apart probes. METHODS We collected a series of 61 lung adenocarcinoma cytological specimens enriched in tumours harbouring ALK-rearrangement and ROS1-rearrangement. ALK and ROS1 status were previously assessed by classic FISH test using single break apart probes and immunohistochemistry. Study population was composed of 6 ALK-positive, 2 ROS1-positive and 53 ALK/ROS1-wild type. All specimens were analysed by multiplex FISH assay using FlexISH ALK/ROS1 DistinguISH Probe Zytovision. RESULTS The dual ALK/ROS1 FISH probe test results were fully concordant with the results of previous single ALK and ROS1 FISH tests on two different slides. 6 ALK-positive and 2 ROS1-positive were confirmed through multiplex FISH test, without false-positive and false-negative results. Multiplex ALK/ROS1 FISH test results agreed with immunohistochemistry assay staining results. CONCLUSION Multiplex ALK/ROS1 FISH probe test is a useful tool to detect simultaneously ALK-rearrangement and ROS1-rearrangement on a single slide in cytological specimens with a small amount of biomaterial.
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Affiliation(s)
- Federica Zito Marino
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
| | - Giulio Rossi
- Pathology Unit, Ospedale Santa Maria delle Croci, Ravenna, Italy
| | - Immacolata Cozzolino
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
| | - Marco Montella
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
| | | | - Giuseppe Bogina
- Department of Pathology, Sacro Cuore Don Calabria Hospital, Negrar, Italy, Negrar, Italy
| | - Enrico Munari
- Department of Pathology, Sacro Cuore Don Calabria Hospital, Negrar, Italy, Negrar, Italy
| | - Matteo Brunelli
- Department of Pathology, University of Verona, Verona, Italy
| | - Renato Franco
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
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(Cyto)genomic and epigenetic characterization of BICR 10 cell line and three new established primary human head and neck squamous cell carcinoma cultures. Genes Genomics 2019; 41:1207-1221. [PMID: 31321735 DOI: 10.1007/s13258-019-00850-6] [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: 04/05/2019] [Accepted: 07/04/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Head and neck squamous cell carcinoma cell lines are useful preclinical models to understand the molecular processes underlying the development of such tumors, and to establish targeted therapies. OBJECTIVE We performed a comprehensive (cyto)genomic and epigenetic characterization of three new established primary human head and neck squamous cell carcinoma cultures and an established, yet undercharacterized cell line: BICR 10. METHODS Karyotyping, multiplex fluorescence in situ hybridization, array comparative genomic hybridization and methylation-specific multiplex ligation-dependent probe amplification were applied. RESULTS The three primary cultures turned out to be a near-triploid and BICR 10 near-diploid. Banding and molecular cytogenetic analysis revealed non-random numerical and structural aberrations. The most common rearrangements identified in BICR 10 cell line were non-complex derivatives of reciprocal translocations, in which the breakpoints often appeared in centromeric/near-centromeric regions. In the 3 primary cell cultures the most common rearrangements observed were iso- and derivatives chromosomes derived from translocations. Overall, gains of 7p, 8q and losses at 3p, 8p, 9p, 18q and Xp were present in all four studied samples. Among the analyzed genes, BICR 10 cell line exhibited enhanced methylation of gene promoter; however, in all studied samples PAX5, WT1 and GATA5 were methylated. CONCLUSION The here reported comprehensive characterization of BICR 10 cell line and the new established cultures enriches the resources available for head and neck cancer research, especially for testing therapeutic agents.
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Ribeiro IP, Rodrigues JM, Mascarenhas A, Kosyakova N, Caramelo F, Liehr T, Melo JB, Carreira IM. Cytogenetic, genomic, and epigenetic characterization of the HSC-3 tongue cell line with lymph node metastasis. J Oral Sci 2018; 60:70-81. [PMID: 29479029 DOI: 10.2334/josnusd.16-0811] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Oral carcinoma develops from squamous epithelial cells by the acquisition of multiple (epi) genetic alterations that target different genes and molecular pathways. Herein, we performed a comprehensive genomic and epigenetic characterization of the HSC-3 cell line through karyotyping, multicolor fluorescence in situ hybridization, array comparative genomic hybridization, and methylation-specific multiplex ligation-dependent probe amplification. HSC-3 turned out to be a near-triploid cell line with a modal number of 61 chromosomes. Banding and molecular cytogenetic analyses revealed that nonrandom gains of chromosomal segments occurred more frequently than losses. Overall, gains of chromosome 1, 3q, 5p, 7p, 8q, 9q, 10, 11p, 11q13, 12, 13, 14, 17, 18p, 20, Yp, and Xq were observed. The largest region affected by copy number loss was observed at chromosome 18q. Several of the observed genomic imbalances and their mapped genes were already associated with oral carcinoma and/or adverse prognosis, invasion, and metastasis in cancer. The most common rearrangements observed were translocations in the centromeric/near-centromeric regions. RARB, ESR1, and CADM1 genes were methylated and showed copy number losses, whereas TP73 and GATA5 presented with methylation and copy number gains. Thus, the current study presents a comprehensive characterization of the HSC-3 cell line; the use of this cell line may contribute to enriching the resources available for oral cancer research, especially for the testing of therapeutic agents.
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Affiliation(s)
- Ilda P Ribeiro
- Cytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra.,Center of Investigation on Environment Genetics and Oncobiology, Faculty of Medicine, University of Coimbra
| | - Joana M Rodrigues
- Cytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra
| | | | - Nadezda Kosyakova
- Institute of Human Genetics, Jena University Hospital, Friedrich Schiller University
| | - Francisco Caramelo
- Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine, University of Coimbra
| | - Thomas Liehr
- Institute of Human Genetics, Jena University Hospital, Friedrich Schiller University
| | - Joana B Melo
- Cytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra.,Center of Investigation on Environment Genetics and Oncobiology, Faculty of Medicine, University of Coimbra
| | - Isabel M Carreira
- Cytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra.,Center of Investigation on Environment Genetics and Oncobiology, Faculty of Medicine, University of Coimbra
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Grange B, Callet-Bauchu E, Salles G, Sujobert P. Advances in the role of cytogenetic analysis in the molecular diagnosis of B-cell lymphomas. Expert Rev Mol Diagn 2017; 17:623-632. [DOI: 10.1080/14737159.2017.1327811] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Abstract
The field of cytogenetics has focused on studying the number, structure, function and origin of chromosomal abnormalities and the evolution of chromosomes. The development of fluorescent molecules that either directly or via an intermediate molecule bind to DNA has led to the development of fluorescent in situ hybridization (FISH), a technology linking cytogenetics to molecular genetics. This technique has a wide range of applications that increased the dimension of chromosome analysis. The field of cytogenetics is particularly important for medical diagnostics and research as well as for gene ordering and mapping. Furthermore, the increased application of molecular biology techniques, such as array-based technologies, has led to improved resolution, extending the recognized range of microdeletion/microduplication syndromes and genomic disorders. In adopting these newly expanded methods, cytogeneticists have used a range of technologies to study the association between visible chromosome rearrangements and defects at the single nucleotide level. Overall, molecular cytogenetic techniques offer a remarkable number of potential applications, ranging from physical mapping to clinical and evolutionary studies, making a powerful and informative complement to other molecular and genomic approaches. This manuscript does not present a detailed history of the development of molecular cytogenetics; however, references to historical reviews and experiments have been provided whenever possible. Herein, the basic principles of molecular cytogenetics, the technologies used to identify chromosomal rearrangements and copy number changes, and the applications for cytogenetics in biomedical diagnosis and research are presented and discussed.
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Affiliation(s)
- Mariluce Riegel
- Serviço de Genética Médica, Hospital de Clínicas, Porto Alegre, RS, Brazil . ; Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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Havelange V, Ameye G, Théate I, Callet-Bauchu E, Mugneret F, Michaux L, Dastugue N, Penther D, Barin C, Collonge-Rame MA, Baranger L, Terré C, Nadal N, Lippert E, Laï JL, Cabrol C, Tigaud I, Herens C, Hagemeijer A, Raphael M, Libouton JM, Poirel HA. Patterns of genomic aberrations suggest that Burkitt lymphomas with complex karyotype are distinct from other aggressive B-cell lymphomas withMYCrearrangement. Genes Chromosomes Cancer 2012; 52:81-92. [DOI: 10.1002/gcc.22008] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2011] [Revised: 08/13/2012] [Accepted: 08/15/2012] [Indexed: 01/17/2023] Open
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Abstract
For the past 20 years most malignant lymphomas have been classified as clinicopathological entities, each with its own combination of clinical, morphological, immunophenotypic and molecular genetic characteristics. Molecular and cytogenetic abnormalities can be detected by a wide range of techniques, ranging from conventional karyotyping to single nucleotide polymorphism analysis. In this review, we consider the common genetic abnormalities found in lymphoma and discuss the advantages and disadvantages of individual techniques used in their detection. Finally, we discuss briefly possible novel developments in the field of lymphoma diagnostics.
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Affiliation(s)
- Philip Kluin
- Department of Pathology and Medical Biology, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands.
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Sumption N, Ainsbury L, Goodhead D, Hirama T, Akashi M, Monobe M, Ando K, Anderson R. High frequency of simple and complex chromosome aberrations detected in the Tokai-mura survivor four and five years after the 1999 criticality accident. JOURNAL OF RADIATION RESEARCH 2011; 52:300-308. [PMID: 21515945 DOI: 10.1269/jrr.10125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
In September 1999 a criticality accident occurred in a uranium processing plant in Tokai-mura, Japan. During the accident, three workers (A, B and C) were exposed to high acute doses of neutrons and γ-rays: workers A and B fatally and worker C to an estimated whole body absorbed dose of 0.81 Gy neutrons and 1.3 Gy γ-rays. We obtained fixed peripheral blood lymphocytes (PBL) preparations from worker C approximately four and five years after the accident and assayed by 24 colour karyotyping (M-FISH) to determine the frequency and complexity of chromosome aberrations present. We observed a high frequency of simple reciprocal translocations, which we used to provide a rough estimation of dose and, in addition, for the assessment of the emergence of any clinically-relevant clonal exchanges. We did not observe any evidence of clonality but did find some evidence suggesting chromosome 1 as being preferentially involved in exchanges in stable cells. We also detected a relatively high frequency of damaged cells containing complex chromosome aberrations, of both the stable and unstable types. Qualitatively these complex aberrations were consistent with those observed to be induced after exposure to low doses of high-LET radiation or moderate doses of low-LET radiation, supporting the suggestion that heavily damaged cells can be quite long-lived in vivo.
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FISHprep: A Novel Integrated Device for Metaphase FISH Sample Preparation. MICROMACHINES 2011. [DOI: 10.3390/mi2020116] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Contributions of cytogenetics and molecular cytogenetics to the diagnosis of adipocytic tumors. J Biomed Biotechnol 2011; 2011:524067. [PMID: 21274402 PMCID: PMC3025394 DOI: 10.1155/2011/524067] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2010] [Accepted: 12/15/2010] [Indexed: 12/14/2022] Open
Abstract
Over the last 20 years, a number of tumor-specific chromosomal translocations and associated fusion genes have been identified for mesenchymal neoplasms including adipocytic tumors. The addition of molecular cytogenetic techniques, especially fluorescence in situ hybridization (FISH), has further enhanced the sensitivity and accuracy of detecting nonrandom chromosomal translocations and/or other rearrangements in adipocytic tumors. Indeed, most resent molecular cytogenetic analysis has demonstrated a translocation t(11;16)(q13;p13) that produces a C11orf95-MKL2 fusion gene in chondroid lipoma. Additionally, it is well recognized that supernumerary ring and/or giant rod chromosomes are characteristic for atypical lipomatous tumor/well-differentiated liposarcoma and dedifferentiated liposarcoma, and amplification of 12q13–15 involving the MDM2, CDK4, and CPM genes is shown by FISH in these tumors. Moreover, myxoid/round cell liposarcoma is characterized by a translocation t(12;16)(q13;p11) that fuses the DDIT3 and FUS genes. This paper provides an overview of the role of conventional cytogenetics and molecular cytogenetics in the diagnosis of adipocytic tumors.
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Sandberg AA, Meloni-Ehrig AM. Cytogenetics and genetics of human cancer: methods and accomplishments. ACTA ACUST UNITED AC 2010; 203:102-26. [DOI: 10.1016/j.cancergencyto.2010.10.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2010] [Revised: 09/22/2010] [Accepted: 10/07/2010] [Indexed: 12/31/2022]
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Bishop R. Applications of fluorescence in situ hybridization (FISH) in detecting genetic aberrations of medical significance. ACTA ACUST UNITED AC 2010. [DOI: 10.1093/biohorizons/hzq009] [Citation(s) in RCA: 79] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Abstract
Multiplex in situ hybridization (M-FISH) is a 24-color karyotyping technique and is the method of choice for studying complex interchromosomal rearrangements. The process involves three major steps. Firstly, the multiplex labeling of all chromosomes in the genome with finite numbers of spectrally distinct fluorophores in a combinatorial fashion, such that each homologous pair of chromosomes is uniquely labeled. Secondly, the microscopic visualization and digital acquisition of each fluorophore using specific single band-pass filter sets and dedicated M-FISH software. These acquired images are then superimposed enabling individual chromosomes to be classified based on the fluor composition in accordance with the combinatorial labeling scheme of the M-FISH probe cocktail used. The third step involves the detailed analysis of these digitally acquired and processed images to resolve structural and numerical abnormalities.
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Affiliation(s)
- Rhona Anderson
- Laboratory of Genome Damage, Division of Biosciences, Centre for Cell and Chromosome Biology, Brunel University, Uxbridge, Middlesex, UK.
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Xue YB, Song X. [Progresses on the methods of tumor chromosome aberration analysis]. YI CHUAN = HEREDITAS 2008; 30:1529-1535. [PMID: 19073565 DOI: 10.3724/sp.j.1005.2008.01529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Most cancers are known to be associated with chromosome aberration, and chromosome analysis is essential to understand the relationships between chromosome aberration and cancer. Here we briefly introduce several methods of chromosome aberration detection, including G-banding, fluorescence in situ hybridization (FISH), spectral karyotyping (SKY), multi-fluorescence in situ hybridization (M-FISH), cross-species color banding (Rx-FISH), comparative genomic hybridization (CGH)and Array comparative genomic hybridization (Array CGH).
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Affiliation(s)
- Yuan-Bo Xue
- Center of Cancer Biotherapy, The Third Affiliated Hospital of Kunming Medical University (Tumor Hospital of Yunnan Province), Kunming 650018, China.
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FISH glossary: an overview of the fluorescence in situ hybridization technique. Biotechniques 2008; 45:385-6, 388, 390 passim. [PMID: 18855767 DOI: 10.2144/000112811] [Citation(s) in RCA: 91] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The introduction of FISH (fluorescence in situ hybridization) marked the beginning of a new era for the study of chromosome structure and function. As a combined molecular and cytological approach, the major advantage of this visually appealing technique resides in its unique ability to provide an intermediate degree of resolution between DNA analysis and chromosomal investigations while retaining information at the single-cell level. Used to support large-scale mapping and sequencing efforts related to the human genome project, FISH accuracy and versatility were subsequently capitalized on in biological and medical research, providing a wealth of diverse applications and FISH-based diagnostic assays. The diversification of the original FISH protocol into the impressive number of procedures available these days has been promoted throughout the years by a number of interconnected factors: the improvement in sensitivity, specificity and resolution, together with the advances in the fields of fluorescence microscopy and digital imaging, and the growing availability of genomic and bioinformatic resources. By assembling in a glossary format many of the "acronymed" FISH applications published so far, this review intends to celebrate the ability of FISH to re-invent itself and thus remain at the forefront of biomedical research.
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Abstract
The laboratory mouse has long been an important tool in the study of the biology and genetics of human cancer. With the advent of genetic engineering techniques, DNA microarray analyses, tissue arrays and other large-scale, high-throughput data generating methods, the amount of data available for mouse models of cancer is growing exponentially. Tools to integrate, locate and visualize these data are crucial to aid researchers in their investigations. The Mouse Tumor Biology database (http://tumor.informatics.jax.org) seeks to address that need.
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Affiliation(s)
- Debra M Krupke
- Jackson Laboratory, Mouse Tumour Biology Database, 600 Main Street, Bar Harbor, Maine 04609, USA.
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Morozova O, Marra MA. From cytogenetics to next-generation sequencing technologies: advances in the detection of genome rearrangements in tumorsThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB — Systems and Chemical Biology, and has undergone the Journal's usual peer review process. Biochem Cell Biol 2008; 86:81-91. [PMID: 18443621 DOI: 10.1139/o08-003] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Genome rearrangements have long been recognized as hallmarks of human tumors and have been used to diagnose cancer. Techniques used to detect genome rearrangements have evolved from microscopic examinations of chromosomes to the more recent microarray-based approaches. The availability of next-generation sequencing technologies may provide a means for scrutinizing entire cancer genomes and transcriptomes at unparalleled resolution. Here we review the methods that have been used to detect genome rearrangements and discuss the scope and limitations of each approach. We end with a discussion of the potential that next-generation sequencing technologies may offer to the field.
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Affiliation(s)
- Olena Morozova
- BC Cancer Agency Genome Sciences Centre, Suite 100-570 West 7th Avenue, Vancouver, BC V5Z 4S6, Canada
| | - Marco A. Marra
- BC Cancer Agency Genome Sciences Centre, Suite 100-570 West 7th Avenue, Vancouver, BC V5Z 4S6, Canada
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Heaphy CM, Bisoffi M, Griffith JK. Diagnostic significance of allelic imbalance in cancer. EXPERT OPINION ON MEDICAL DIAGNOSTICS 2007; 1:159-68. [PMID: 23489303 DOI: 10.1517/17530059.1.2.159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Allelic imbalance (AI), a deviation from the normal 1:1 ratio of maternal and paternal alleles, occurs in virtually all solid and blood-borne malignancies. The frequency and spectrum of AI in a tumor cell reflects the karyotypic complexity of the cancer genome. Hence, many investigations have assessed the extent of AI to analyze differences between normal and tumor tissues in a variety of different organs. In this review, the authors describe established and emerging technologies used to assess the extent of AI in human tissues, and their application in the diagnosis of cancer. The four major methods to be reviewed represent powerful and widely used tools for the identification of allelic imbalances accompanying cancer initiation and progression. These are fluorescent in situ hybridization, comparative genomic hybridization, single nucleotide polymorphism arrays and the use of microsatellite markers. For each method, the authors provide a brief description of the approach and elaborate on specific studies that highlight its utility in the diagnosis of human cancers.
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Affiliation(s)
- Christopher M Heaphy
- Graduate Research Assistant, University of New Mexico School of Medicine, Department of Biochemistry and Molecular Biology, MSC08 4670, 1 University of New Mexico, Albuquerque, New Mexico 87131-0001, USA +1 505 272 5090 ; +1 505 272 6587 ;
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