Literature DB >> 18400580

Comparison of whole genome amplification methods for further quantitative analysis with microarray-based comparative genomic hybridization.

Yun-Shien Lee1, Chi-Neu Tsai, Chia-Lung Tsai, Shuenn-Dyh Chang, Ding-Wei Hsueh, Chun-Ting Liu, Chung-Chun Ma, Seng-Hsuan Lin, Tzu-Hao Wang, Hsin-Shih Wang.   

Abstract

OBJECTIVE: Whole genome amplification (WGA) is a crucial procedure for genomic DNA analysis from limited sources, such as in forensic analysis, embryo biopsy for preimplantation genetic diagnosis, or needle aspiration biopsies. Several strategies for WGA have been developed for either genotyping or microarray-based comparative genome hybridization (array-CGH) during the past decade. Nevertheless, there were few studies in which various WGA methods had been performed side-by-side and results evaluated with multiple methods.
MATERIALS AND METHODS: Ease of performance, qualitative accuracy, and quantitative fidelity of different WGA methods, such as degenerate oligonucleotide-primed polymerase chain reaction (DOP-PCR), ligation-mediated PCR (LM-PCR) and strand displacement amplification (SDA), were compared in amplifying genomic DNA derived from karyotype-confirmed amniocytes and the cancer cell line SAOS2.
RESULTS: Using analysis with microsatellite markers, single nucleotide polymorphism markers, and array-CGH, our results suggested that: (1) genomic DNA amplified from DOP-PCR resulted in false positive and negative results by analysis with array-CGH; (2) SDA is the easiest performance method among the three WGA methods; and (3) amplified DNA products generated by LM-PCR best reflect the original genomic DNA.
CONCLUSION: The amplified DNA products generated by LM-PCR best reflect the original genomic DNA.

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Year:  2008        PMID: 18400580     DOI: 10.1016/S1028-4559(08)60052-2

Source DB:  PubMed          Journal:  Taiwan J Obstet Gynecol        ISSN: 1028-4559            Impact factor:   1.705


  3 in total

1.  Effect of Tiantai No.1 on gene expression profiles in hippocampus of Alzheimer's disease rats by bioinformatic analysis.

Authors:  Ying-hong Li; Zheng-zhi Wu; Mei-qun Cao; Ming Li; Ke-huan Sun; Min Yang; Man-yin Chen; Andrew C J Huang
Journal:  Chin J Integr Med       Date:  2014-07-31       Impact factor: 1.978

2.  Analysis of hippocampal gene expression profile of Alzheimer's disease model rats using genome chip bioinformatics.

Authors:  Yinghong Li; Zhengzhi Wu; Yu Jin; Anmin Wu; Meiqun Cao; Kehuan Sun; Xiuqin Jia; Manyin Chen
Journal:  Neural Regen Res       Date:  2012-02-15       Impact factor: 5.135

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

  3 in total

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