Literature DB >> 27368744

Comparison of three whole genome amplification methods for detection of genomic aberrations in single cells.

Elizabeth Normand1, Sadeem Qdaisat1, Weimin Bi1, Chad Shaw1, Ignatia Van den Veyver1,2, Arthur Beaudet1, Amy Breman3.   

Abstract

OBJECTIVE: Detection of genomic copy number abnormalities in a single cell using array comparative genomic hybridization (CGH) offers a promising non-invasive alternative for prenatal diagnosis. Our objective was to compare three commercially available whole-genome amplification (WGA) kits for their capacity to produce high quality DNA from single cells that is suitable for both molecular genotyping and array CGH.
METHODS: We examined kit performance on unfixed, fixed and fixed/permeabilized lymphoblastoid cells. Molecular genotyping methods were used to evaluate the fidelity of amplified DNA for genomic profiling, while array CGH was used to assess copy number from single cells harboring trisomy 21, a DiGeorge syndrome deletion, a CMT1A duplication or a MECP2 duplication.
RESULTS: Molecular genotyping was achieved from single cells but performance varied between WGA kits. Furthermore, we consistently detected a dosage difference in sex chromosomes for gender mismatched hybridizations and for chromosome 21 in trisomy 21 cells. The 2.5 Mb DiGeorge syndrome deletion was also detected using all three WGA platforms, whereas the 1.3 Mb CMT1A and the 0.6 Mb MECP2 duplications were not consistently detected.
CONCLUSION: These data suggest that single cell molecular genotyping and copy number analysis can be accomplished when WGA conditions are optimized.
© 2016 John Wiley & Sons, Ltd. © 2016 John Wiley & Sons, Ltd.

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Year:  2016        PMID: 27368744     DOI: 10.1002/pd.4866

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  11 in total

1.  Next-generation Sequencing (NGS) Analysis on Single Circulating Tumor Cells (CTCs) with No Need of Whole-genome Amplification (WGA).

Authors:  Raffaele Palmirotta; Domenica Lovero; Erica Silvestris; Claudia Felici; Davide Quaresmini; Paola Cafforio; Franco Silvestris
Journal:  Cancer Genomics Proteomics       Date:  2017 May-Jun       Impact factor: 4.069

Review 2.  Overview and recent developments in cell-based noninvasive prenatal testing.

Authors:  Liesbeth Vossaert; Imen Chakchouk; Roni Zemet; Ignatia B Van den Veyver
Journal:  Prenat Diagn       Date:  2021-05-18       Impact factor: 3.242

3.  A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products.

Authors:  Alberto Ferrarini; Claudio Forcato; Genny Buson; Paola Tononi; Valentina Del Monaco; Mario Terracciano; Chiara Bolognesi; Francesca Fontana; Gianni Medoro; Rui Neves; Birte Möhlendick; Karim Rihawi; Andrea Ardizzoni; Semini Sumanasuriya; Penny Flohr; Maryou Lambros; Johann de Bono; Nikolas H Stoecklein; Nicolò Manaresi
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

4.  Evaluation of Oxford Nanopore's MinION Sequencing Device for Microbial Whole Genome Sequencing Applications.

Authors:  Andrea D Tyler; Laura Mataseje; Chantel J Urfano; Lisa Schmidt; Kym S Antonation; Michael R Mulvey; Cindi R Corbett
Journal:  Sci Rep       Date:  2018-07-19       Impact factor: 4.379

5.  Kinship analysis on single cells after whole genome amplification.

Authors:  Jana Weymaere; Ann-Sophie Vander Plaetsen; Laurentijn Tilleman; Olivier Tytgat; Kaat Rubben; Sofie Geeraert; Dieter Deforce; Filip Van Nieuwerburgh
Journal:  Sci Rep       Date:  2020-09-04       Impact factor: 4.379

6.  Development of an optimal protocol for molecular profiling of tumor cells in pleural effusions at single-cell level.

Authors:  Ikuko Takeda Nakamura; Masachika Ikegami; Nobuhiko Hasegawa; Takuo Hayashi; Toshihide Ueno; Masahito Kawazu; Shigehiro Yagishita; Yasushi Goto; Yuki Shinno; Yuki Kojima; Kazuya Takamochi; Fumiyuki Takahashi; Kazuhisa Takahashi; Hiroyuki Mano; Shinji Kohsaka
Journal:  Cancer Sci       Date:  2021-04-02       Impact factor: 6.716

7.  Systematic assessment of the performance of whole-genome amplification for SNP/CNV detection and β-thalassemia genotyping.

Authors:  Fei He; Wanjun Zhou; Ren Cai; Tizhen Yan; Xiangmin Xu
Journal:  J Hum Genet       Date:  2018-02-13       Impact factor: 3.172

8.  STR profiling and Copy Number Variation analysis on single, preserved cells using current Whole Genome Amplification methods.

Authors:  Ann-Sophie Vander Plaetsen; Lieselot Deleye; Senne Cornelis; Laurentijn Tilleman; Filip Van Nieuwerburgh; Dieter Deforce
Journal:  Sci Rep       Date:  2017-12-07       Impact factor: 4.379

9.  Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods.

Authors:  Lieselot Deleye; Yannick Gansemans; Dieter De Coninck; Filip Van Nieuwerburgh; Dieter Deforce
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

10.  Isolation and characterization of fetal nucleated red blood cells from maternal blood as a target for single cell sequencing-based non-invasive genetic testing.

Authors:  Noriko Ito; Kazuhiro Tsukamoto; Kosuke Taniguchi; Ken Takahashi; Aikou Okamoto; Hiroaki Aoki; Yuka Otera-Takahashi; Michihiro Kitagawa; Hiroko Ogata-Kawata; Hideaki Morita; Kenichiro Hata; Kazuhiko Nakabayashi
Journal:  Reprod Med Biol       Date:  2021-06-14
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