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Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities
We designed a targeted-array called GOLD (Gain or Loss Detection) Chip consisting of 900 FISH-mapped non-overlapping BAC clones spanning the whole genome to enhance the coverage of 66 unique human genomic regions involved in well known microdeletion/microduplication syndromes. The array has a 10 Mb...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510597/ https://www.ncbi.nlm.nih.gov/pubmed/26279624 http://dx.doi.org/10.4137/GEI.S3683 |
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author | Gambardella, Stefano Ciabattoni, Erika Motta, Francesca Stoico, Giusy Gullotta, Francesca Biancolella, Michela Nardone, Anna Maria Novelli, Antonio Brunetti, Ercole Bernardini, Laura Novelli, Giuseppe |
author_facet | Gambardella, Stefano Ciabattoni, Erika Motta, Francesca Stoico, Giusy Gullotta, Francesca Biancolella, Michela Nardone, Anna Maria Novelli, Antonio Brunetti, Ercole Bernardini, Laura Novelli, Giuseppe |
author_sort | Gambardella, Stefano |
collection | PubMed |
description | We designed a targeted-array called GOLD (Gain or Loss Detection) Chip consisting of 900 FISH-mapped non-overlapping BAC clones spanning the whole genome to enhance the coverage of 66 unique human genomic regions involved in well known microdeletion/microduplication syndromes. The array has a 10 Mb backbone to guarantee the detection of the aneuploidies, and has an implemented resolution for telomeres, and for regions involved in common genomic diseases. In order to evaluate clinical diagnostic applicability of GOLDChip, analytical validity was carried-out via retrospective analysis of DNA isolated from a series of cytogenetically normal amniocytes and cytogenetically abnormal DNA obtained from cultured amniocytes, peripheral blood and/or cell lines. We recruited 47 DNA samples corresponding to pathologies with significant frequencies (Cri du Chat syndrome, Williams syndrome, Prader Willi/Angelman syndromes, Smith-Magenis syndrome, DiGeorge syndrome, Miller-Dieker syndrome, chromosomes 13, 18 and 21 trisomies). We set up an experimental protocol that allowed to identify chromosomal rearrangements in all the DNA samples analyzed. Our results provide evidence that our targeted BAC array can be used for the identification of the most common microdeletion syndromes and common aneuploidies. |
format | Online Article Text |
id | pubmed-4510597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-45105972015-08-14 Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities Gambardella, Stefano Ciabattoni, Erika Motta, Francesca Stoico, Giusy Gullotta, Francesca Biancolella, Michela Nardone, Anna Maria Novelli, Antonio Brunetti, Ercole Bernardini, Laura Novelli, Giuseppe Genomics Insights Original Research We designed a targeted-array called GOLD (Gain or Loss Detection) Chip consisting of 900 FISH-mapped non-overlapping BAC clones spanning the whole genome to enhance the coverage of 66 unique human genomic regions involved in well known microdeletion/microduplication syndromes. The array has a 10 Mb backbone to guarantee the detection of the aneuploidies, and has an implemented resolution for telomeres, and for regions involved in common genomic diseases. In order to evaluate clinical diagnostic applicability of GOLDChip, analytical validity was carried-out via retrospective analysis of DNA isolated from a series of cytogenetically normal amniocytes and cytogenetically abnormal DNA obtained from cultured amniocytes, peripheral blood and/or cell lines. We recruited 47 DNA samples corresponding to pathologies with significant frequencies (Cri du Chat syndrome, Williams syndrome, Prader Willi/Angelman syndromes, Smith-Magenis syndrome, DiGeorge syndrome, Miller-Dieker syndrome, chromosomes 13, 18 and 21 trisomies). We set up an experimental protocol that allowed to identify chromosomal rearrangements in all the DNA samples analyzed. Our results provide evidence that our targeted BAC array can be used for the identification of the most common microdeletion syndromes and common aneuploidies. Libertas Academica 2010-03-11 /pmc/articles/PMC4510597/ /pubmed/26279624 http://dx.doi.org/10.4137/GEI.S3683 Text en © 2010 the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited. |
spellingShingle | Original Research Gambardella, Stefano Ciabattoni, Erika Motta, Francesca Stoico, Giusy Gullotta, Francesca Biancolella, Michela Nardone, Anna Maria Novelli, Antonio Brunetti, Ercole Bernardini, Laura Novelli, Giuseppe Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities |
title | Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities |
title_full | Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities |
title_fullStr | Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities |
title_full_unstemmed | Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities |
title_short | Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities |
title_sort | design, construction and validation of targeted bac array-based cgh test for detecting the most commons chromosomal abnormalities |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510597/ https://www.ncbi.nlm.nih.gov/pubmed/26279624 http://dx.doi.org/10.4137/GEI.S3683 |
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