Journal article
Detection of=1?Mb microdeletions and microduplications in a single cell using custom oligonucleotide arrays
Prenatal diagnosis, v 32(1), pp 10-20
01 Jan 2012
PMID: 22470934
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objective High resolution detection of genomic copy number abnormalities in a single cell is relevant to preimplantation genetic diagnosis and potentially to noninvasive prenatal diagnosis. Our objective is to develop a reliable array comparative genomic hybridization (CGH) platform to detect genomic imbalances as small as similar to 1 Mb in a single cell.
Methods We empirically optimized the conditions for oligonucleotide-based array CGH using single cells from multiple lymphoblastoid cell lines with known copy number abnormalities. To improve resolution, we designed custom arrays with high density probes covering clinically relevant genomic regions.
Results The detection of megabase-sized copy number variations (CNVs) in a single cell was influenced by the number of probes clustered in the interrogated region. Using our custom array, we reproducibly detected multiple chromosome abnormalities including trisomy 21, a 1.2 Mb Williams syndrome deletion, and a 1.3 Mb CMT1A duplication. Replicate analyses yielded consistent results.
Conclusion Aneuploidy and genomic imbalances with CNVs as small as 1.2 Mb in a single cell are detectable by array CGH using arrays with high density coverage in the targeted regions. This approach has the potential to be applied for preimplantat ion genetic diagnosis to detect aneuploidy and common microdeletion/duplication syndromes and for noninvasive prenatal diagnosis if single fetal cells can be isolated. 2012 John Wiley & Sons, Ltd.
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Details
- Title
- Detection of=1?Mb microdeletions and microduplications in a single cell using custom oligonucleotide arrays
- Creators
- Weimin Bi - Baylor College of MedicineAmy Breman - Baylor College of MedicineChad A. Shaw - Baylor College of MedicinePawel Stankiewicz - Baylor College of MedicineTomasz Gambin - Baylor College of MedicineXinyan Lu - Baylor College of MedicineSau Wai Cheung - Baylor College of MedicineLaird G. Jackson - Drexel UniversityJames R. Lupski - Baylor College of MedicineIgnatia B. Van den Veyver - Baylor College of MedicineArthur L. Beaudet - Baylor College of Medicine
- Publication Details
- Prenatal diagnosis, v 32(1), pp 10-20
- Publisher
- Wiley
- Number of pages
- 11
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000300721400003
- Scopus ID
- 2-s2.0-84857506553
- Other Identifier
- 991019350683204721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Genetics & Heredity
- Obstetrics & Gynecology