51
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Chen F, Liu P, Gu Y, Zhu Z, Nanisetti A, Lan Z, Huang Z, Liu JS, Kang X, Deng Y, Luo L, Jiang D, Qiu Y, Pan J, Xia J, Xiong K, Liu C, Xie L, Shi Q, Li J, Zhang X, Wang W, Drmanac S, Bolund L, Jiang H, Drmanac R, Xu X. Isolation and whole genome sequencing of fetal cells from maternal blood towards the ultimate non-invasive prenatal testing. Prenat Diagn 2017; 37:1311-1321. [DOI: 10.1002/pd.5186] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 10/30/2017] [Accepted: 11/07/2017] [Indexed: 12/13/2022]
Affiliation(s)
- Fang Chen
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen; DK-2100 Copenhagen Denmark
| | - Ping Liu
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Ying Gu
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Zhu Zhu
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Amulya Nanisetti
- BGI-Shenzhen; Shenzhen 518083 PR China
- Complete Genomics, Inc.; 2904 Orchard Parkway San Jose CA 95134 USA
| | - Zhangzhang Lan
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Zhiwei Huang
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Jia Sophie Liu
- BGI-Shenzhen; Shenzhen 518083 PR China
- Complete Genomics, Inc.; 2904 Orchard Parkway San Jose CA 95134 USA
| | - Xiongbin Kang
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Yuqing Deng
- PEKING University Shenzhen Hospital; Shenzhen China
| | - Liqiong Luo
- Shenzhen Longhua New District People's Hospital, Affiliated Hospital Southern Medical University; Guangzhou China
| | - Dan Jiang
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Yong Qiu
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Jianchang Pan
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Jun Xia
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Ken Xiong
- BGI-Shenzhen; Shenzhen 518083 PR China
- Complete Genomics, Inc.; 2904 Orchard Parkway San Jose CA 95134 USA
| | - Chao Liu
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Lin Xie
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Qianyu Shi
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Jing Li
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Xiuqing Zhang
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Wei Wang
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Snezana Drmanac
- BGI-Shenzhen; Shenzhen 518083 PR China
- Complete Genomics, Inc.; 2904 Orchard Parkway San Jose CA 95134 USA
| | - Lars Bolund
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen; DK-2100 Copenhagen Denmark
- Department of Biomedicine, Aarhus University; Aarhus Denmark
| | - Hui Jiang
- BGI-Shenzhen; Shenzhen 518083 PR China
- MGI, BGI-Shenzhen; Shenzhen 518083 China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
| | - Radoje Drmanac
- BGI-Shenzhen; Shenzhen 518083 PR China
- Complete Genomics, Inc.; 2904 Orchard Parkway San Jose CA 95134 USA
| | - Xun Xu
- BGI-Shenzhen; Shenzhen 518083 PR China
- China National GeneBank, BGI-Shenzhen; Shenzhen 518120 China
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Vander Plaetsen AS, Deleye L, Cornelis S, Tilleman L, Van Nieuwerburgh F, Deforce D. STR profiling and Copy Number Variation analysis on single, preserved cells using current Whole Genome Amplification methods. Sci Rep 2017; 7:17189. [PMID: 29215049 PMCID: PMC5719346 DOI: 10.1038/s41598-017-17525-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 11/15/2017] [Indexed: 01/01/2023] Open
Abstract
The growing interest in liquid biopsies for cancer research and cell-based non-invasive prenatal testing (NIPT) invigorates the need for improved single cell analysis. In these applications, target cells are extremely rare and fragile in peripheral circulation, which makes the genetic analysis very challenging. To overcome these challenges, cell stabilization and unbiased whole genome amplification are required. This study investigates the performance of four WGA methods on single or a limited number of cells after 24 hour of Streck Cell-Free DNA BCT preservation. The suitability of the DNA, amplified with Ampli1, DOPlify, PicoPLEX and REPLI-g, was assessed for both short tandem repeat (STR) profiling and copy number variant (CNV) analysis after shallow whole genome massively parallel sequencing (MPS). Results demonstrate that Ampli1, DOPlify and PicoPLEX perform well for both applications, with some differences between the methods. Samples amplified with REPLI-g did not result in suitable STR or CNV profiles, indicating that this WGA method is not able to generate high quality DNA after Streck Cell-Free DNA BCT stabilization of the cells.
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Affiliation(s)
- Ann-Sophie Vander Plaetsen
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Lieselot Deleye
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Senne Cornelis
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.,Department of Life Science Technologies, imec, 3001, Leuven, Belgium
| | - Laurentijn Tilleman
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Filip Van Nieuwerburgh
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.
| | - Dieter Deforce
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
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53
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Huang CE, Ma GC, Jou HJ, Lin WH, Lee DJ, Lin YS, Ginsberg NA, Chen HF, Chang FMC, Chen M. Noninvasive prenatal diagnosis of fetal aneuploidy by circulating fetal nucleated red blood cells and extravillous trophoblasts using silicon-based nanostructured microfluidics. Mol Cytogenet 2017; 10:44. [PMID: 29213331 PMCID: PMC5712079 DOI: 10.1186/s13039-017-0343-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 11/02/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Noninvasive prenatal testing (NIPT) based on cell-free DNA in maternal circulation has been accepted worldwide by the clinical community since 2011 but limitations, such as maternal malignancy and fetoplacental mosaicism, preclude its full replacement of invasive prenatal diagnosis. We present a novel silicon-based nanostructured microfluidics platform named as "Cell Reveal™" to demonstrate the feasibility of capturing circulating fetal nucleated red blood cells (fnRBC) and extravillous cytotrophoblasts (EVT) for cell-based noninvasive prenatal diagnosis (cbNIPD). METHODS The "Cell Reveal™" system is a silicon-based, nanostructured microfluidics using immunoaffinity to capture the trophoblasts and the nucleated RBC (nRBC) with specific antibodies. The automated computer analysis software was used to identify the targeted cells through additional immunostaining of the corresponding antigens. The identified cells were retrieved for whole genome amplification for subsequent investigations by micromanipulation in one microchip, and left in situ for subsequent fluorescence in situ hybridization (FISH) in another microchip. When validation, bloods from pregnant women (n = 24) at gestational age 11-13+6 weeks were enrolled. When verification, bloods from pregnant women (n = 5) receiving chorionic villus sampling or amniocentesis at gestation age 11+4-21 weeks with an aneuploid or euploid fetus were enrolled, followed by genetic analyses using FISH, short tandem repeat (STR) analyses, array comparative genomic hybridization, and next generation sequencing, in which the laboratory is blind to the fetal genetic complement. RESULTS The numbers of captured targeted cells were 1-44 nRBC/2 ml and 1-32 EVT/2 ml in the validation group. The genetic investigations performed in the verification group confirmed the captured cells to be fetal origin. In every 8 ml of the maternal blood being blindly tested, both fnRBC and EVT were always captured. The numbers of captured fetal cells were 14-22 fnRBC/4 ml and 1-44 EVT/4 ml of maternal blood. CONCLUSIONS This report is one of the first few to verify the capture of fnRBC in addition to EVT. The scalability of our automated system made us one step closer toward the goal of in vitro diagnostics.
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Affiliation(s)
- Chung-Er Huang
- International College of Semiconductor Technology, National Chiao-Tung University, Hsinchu, Taiwan
- Cytoaurora Biotechnologies, Inc. Hsinchu Science Park, Hsinchu, Taiwan
| | - Gwo-Chin Ma
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
- Institute of Biochemistry, Microbiology and Immunology, Chung-Shan Medical University, Taichung, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Central Taiwan University of Science and Technology, Taichung, Taiwan
| | - Hei-Jen Jou
- Department of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei, Taiwan
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Hsiang Lin
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
| | - Dong-Jay Lee
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
| | - Yi-Shing Lin
- Welgene Biotechnology Company, Nangang Business Park, Taipei, Taiwan
| | - Norman A. Ginsberg
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University Medical Center, Chicago, IL USA
| | - Hsin-Fu Chen
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Frank Mau-Chung Chang
- Department of Electrical Engineering, University of California Los Angeles, Los Angeles, CA USA
- National Chiao-Tung University, Hsinchu, Taiwan
- Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan
| | - Ming Chen
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
- National Chiao-Tung University, Hsinchu, Taiwan
- Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
- Department of Life Science, Tunghai University, Taichung, Taiwan
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54
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Futuristic Look at Genetic and Birth Defect Diagnoses and Treatments. Clin Obstet Gynecol 2017; 60:867-877. [PMID: 28990982 DOI: 10.1097/grf.0000000000000327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
One aim of prenatal care is to provide information to prospective parents. The information provided encompasses prenatal care, intrapartum and postpartum care. Learning the genetic constitution of the parents pre-conception or the ongoing pregnancy allows parents to make decisions and set expectations. Offering screening and diagnostic testing has been the main in satisfying the desire for prenatal genetic information. With rapid advances in genomics and genome sequencing, screening during an ongoing pregnancy may become obsolete. Preconception risk will be determined by whole exome sequencing and chromosomal microarray of prospective parents and a number of approaches to alter pregnancy outcome can be considered when genome variations are identified. Therapeutic approaches include mitochondrial transfer and gene editing, two technologies that are in early stages, but showing promise as tools to alter outcomes.
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Vestergaard EM, Singh R, Schelde P, Hatt L, Ravn K, Christensen R, Lildballe DL, Petersen OB, Uldbjerg N, Vogel I. On the road to replacing invasive testing with cell-based NIPT: Five clinical cases with aneuploidies, microduplication, unbalanced structural rearrangement, or mosaicism. Prenat Diagn 2017; 37:1120-1124. [DOI: 10.1002/pd.5150] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 08/29/2017] [Accepted: 09/01/2017] [Indexed: 12/15/2022]
Affiliation(s)
- Else Marie Vestergaard
- Department of Clinical Genetics; Aarhus University Hospital; Aarhus Denmark
- Center for Prenatal Diagnostics; Aarhus University Hospital; Aarhus Denmark
| | | | | | | | | | - Rikke Christensen
- Department of Clinical Genetics; Aarhus University Hospital; Aarhus Denmark
| | | | - Olav Bjørn Petersen
- Department of Obstetrics and Gynecology; Aarhus University Hospital; Aarhus Denmark
- Center for Prenatal Diagnostics; Aarhus University Hospital; Aarhus Denmark
| | - Niels Uldbjerg
- Department of Obstetrics and Gynecology; Aarhus University Hospital; Aarhus Denmark
| | - Ida Vogel
- Department of Clinical Genetics; Aarhus University Hospital; Aarhus Denmark
- Center for Prenatal Diagnostics; Aarhus University Hospital; Aarhus Denmark
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56
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Hou S, Chen JF, Song M, Zhu Y, Jan YJ, Chen SH, Weng TH, Ling DA, Chen SF, Ro T, Liang AJ, Lee T, Jin H, Li M, Liu L, Hsiao YS, Chen P, Yu HH, Tsai MS, Pisarska MD, Chen A, Chen LC, Tseng HR. Imprinted NanoVelcro Microchips for Isolation and Characterization of Circulating Fetal Trophoblasts: Toward Noninvasive Prenatal Diagnostics. ACS NANO 2017; 11:8167-8177. [PMID: 28721719 PMCID: PMC5614709 DOI: 10.1021/acsnano.7b03073] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Circulating fetal nucleated cells (CFNCs) in maternal blood offer an ideal source of fetal genomic DNA for noninvasive prenatal diagnostics (NIPD). We developed a class of nanoVelcro microchips to effectively enrich a subcategory of CFNCs, i.e., circulating trophoblasts (cTBs) from maternal blood, which can then be isolated with single-cell resolution by a laser capture microdissection (LCM) technique for downstream genetic testing. We first established a nanoimprinting fabrication process to prepare the LCM-compatible nanoVelcro substrates. Using an optimized cTB-capture condition and an immunocytochemistry protocol, we were able to identify and isolate single cTBs (Hoechst+/CK7+/HLA-G+/CD45-, 20 μm > sizes > 12 μm) on the imprinted nanoVelcro microchips. Three cTBs were polled to ensure reproducible whole genome amplification on the cTB-derived DNA, paving the way for cTB-based array comparative genomic hybridization (aCGH) and short tandem repeats analysis. Using maternal blood samples collected from expectant mothers carrying a single fetus, the cTB-derived aCGH data were able to detect fetal genders and chromosomal aberrations, which had been confirmed by standard clinical practice. Our results support the use of nanoVelcro microchips for cTB-based noninvasive prenatal genetic testing, which holds potential for further development toward future NIPD solution.
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Affiliation(s)
- Shuang Hou
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Jie-Fu Chen
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Min Song
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Yazhen Zhu
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
- Department of Pathology, Guangdong Provincial Hospital of TCM, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yu Jen Jan
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Szu Hao Chen
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Tzu-Hua Weng
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Dean-An Ling
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Shang-Fu Chen
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Tracy Ro
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - An-Jou Liang
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Tom Lee
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
| | - Helen Jin
- PacGenomics, Agoura Hills, California 91301, United States
| | - Man Li
- PacGenomics, Agoura Hills, California 91301, United States
| | - Lian Liu
- PacGenomics, Agoura Hills, California 91301, United States
| | - Yu-Sheng Hsiao
- Research Center for Applied Sciences, Taipei, Taiwan, 115
| | - Peilin Chen
- Research Center for Applied Sciences, Taipei, Taiwan, 115
| | - Hsiao-Hua Yu
- Institute of Chemistry, Academia Sinica, Taipei, Taiwan, 115
| | - Ming-Song Tsai
- Department of Obstetrics and Gynecology, Cathay General Hospital, Taipei, Taiwan 106
| | - Margareta D. Pisarska
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Angela Chen
- Department of Obstetrics and Gynecology, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Li-Ching Chen
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
- Department of Obstetrics and Gynecology, Cathay General Hospital, Taipei, Taiwan 106
| | - Hsian-Rong Tseng
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California 90095-1770, United States
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Singh R, Hatt L, Ravn K, Vogel I, Petersen OB, Uldbjerg N, Schelde P. Fetal cells in maternal blood for prenatal diagnosis: a love story rekindled. Biomark Med 2017; 11:705-710. [PMID: 28617034 DOI: 10.2217/bmm-2017-0055] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
| | - Lotte Hatt
- ARCEDI Biotech ApS, Dandyvej 19, 7100, Vejle, Denmark
| | - Katarina Ravn
- ARCEDI Biotech ApS, Dandyvej 19, 7100, Vejle, Denmark
| | - Ida Vogel
- Department of Clinical Genetics. Aarhus University Hospital, Aarhus, Palle-Juul Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Olav Bjørn Petersen
- Department of Obstetrics & Gynecology, Aarhus University Hospital, Aarhus, Palle-Juul Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Niels Uldbjerg
- Department of Obstetrics & Gynecology, Aarhus University Hospital, Aarhus, Palle-Juul Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Palle Schelde
- ARCEDI Biotech ApS, Dandyvej 19, 7100, Vejle, Denmark
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58
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Deleye L, Tilleman L, Vander Plaetsen AS, Cornelis S, Deforce D, Van Nieuwerburgh F. Performance of four modern whole genome amplification methods for copy number variant detection in single cells. Sci Rep 2017; 7:3422. [PMID: 28611458 PMCID: PMC5469777 DOI: 10.1038/s41598-017-03711-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 05/05/2017] [Indexed: 12/22/2022] Open
Abstract
Whole genome amplification (WGA) has become an invaluable tool to perform copy number variation (CNV) detection in single, or a limited number of cells. Unfortunately, current WGA methods introduce representation bias that limits the detection of small CNVs. New WGA methods have been introduced that might have the potential to reduce this bias. We compared the performance of PicoPLEX DNA-Seq (Picoseq), DOPlify, REPLI-g and Ampli-1 WGA for aneuploidy screening and copy number analysis using shallow whole genome massively parallel sequencing (MPS), starting from single or a limited number of cells. Although the four WGA methods perform differently, they are all suited for this application.
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Affiliation(s)
- Lieselot Deleye
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Laurentijn Tilleman
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Ann-Sophie Vander Plaetsen
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Senne Cornelis
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Dieter Deforce
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium
| | - Filip Van Nieuwerburgh
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.
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Breman AM, Chow JC, U'Ren L, Normand EA, Qdaisat S, Zhao L, Henke DM, Chen R, Shaw CA, Jackson L, Yang Y, Vossaert L, Needham RHV, Chang EJ, Campton D, Werbin JL, Seubert RC, Van den Veyver IB, Stilwell JL, Kaldjian EP, Beaudet AL. Evidence for feasibility of fetal trophoblastic cell-based noninvasive prenatal testing. Prenat Diagn 2016; 36:1009-1019. [PMID: 27616633 PMCID: PMC5129580 DOI: 10.1002/pd.4924] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 08/09/2016] [Accepted: 09/05/2016] [Indexed: 12/13/2022]
Abstract
Objective The goal was to develop methods for detection of chromosomal and subchromosomal abnormalities in fetal cells in the mother's circulation at 10–16 weeks' gestation using analysis by array comparative genomic hybridization (CGH) and/or next‐generation sequencing (NGS). Method Nucleated cells from 30 mL of blood collected at 10–16 weeks' gestation were separated from red cells by density fractionation and then immunostained to identify cytokeratin positive and CD45 negative trophoblasts. Individual cells were picked and subjected to whole genome amplification, genotyping, and analysis by array CGH and NGS. Results Fetal cells were recovered from most samples as documented by Y chromosome PCR, short tandem repeat analysis, array CGH, and NGS including over 30 normal male cells, one 47,XXY cell from an affected fetus, one trisomy 18 cell from an affected fetus, nine cells from a trisomy 21 case, three normal cells and one trisomy 13 cell from a case with confined placental mosaicism, and two chromosome 15 deletion cells from a case known by CVS to have a 2.7 Mb de novo deletion. Conclusion We believe that this is the first report of using array CGH and NGS whole genome sequencing to detect chromosomal abnormalities in fetal trophoblastic cells from maternal blood. © 2016 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd. What's already known about this topic?
Analysis of cell‐free DNA for noninvasive prenatal testing (NIPT) is widely practiced, and the frequency of amniocentesis and CVS has decreased. However, cell‐free NIPT is not adequate for detecting smaller deletions and duplications with high specificity, sensitivity, and positive predictive value. Although fetal nucleated red blood cells and trophoblastic cells are known to be present in the maternal circulation, it has not been possible to develop a reliable cytogenetic cell‐based form of NIPT.
What does this study add?
Fetal cytotrophoblasts were successfully recovered from maternal blood. Although a clinical test has not been validated, for the first time, the feasibility of using array comparative genomic hybridization and next generation sequencing to detect chromosomal and subchromosomal abnormalities is demonstrated. The results suggest the possibility of developing a cell‐based form of NIPT with ability to detect abnormalities with a similar accuracy as can currently be obtained with amniocentesis and CVS.
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Affiliation(s)
- Amy M Breman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Elizabeth A Normand
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Sadeem Qdaisat
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Li Zhao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - David M Henke
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Rui Chen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Chad A Shaw
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Laird Jackson
- Department of Obstetrics and Gynecology, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Yaping Yang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Liesbeth Vossaert
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | | | | | | | | | - Ignatia B Van den Veyver
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA.,Texas Children's Hospital, Houston, TX, USA
| | | | | | - Arthur L Beaudet
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Texas Children's Hospital, Houston, TX, USA
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