Chapter title |
Telomeres and NextGen CO-FISH: Directional Genomic Hybridization (Telo-dGH™)
|
---|---|
Chapter number | 10 |
Book title |
Telomeres and Telomerase
|
Published in |
Methods in molecular biology, March 2017
|
DOI | 10.1007/978-1-4939-6892-3_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6891-6, 978-1-4939-6892-3
|
Authors |
Miles J. McKenna, Erin Robinson, Edwin H. Goodwin, Michael N. Cornforth, Susan M. Bailey |
Editors |
Zhou Songyang |
Abstract |
The cytogenomics-based methodology of Directional Genomic Hybridization (dGH™) emerged from the concept of strand-specific hybridization, first made possible by Chromosome Orientation FISH (CO-FISH), the utility of which was demonstrated in a variety of early applications, often involving telomeres. Similar to standard whole chromosome painting (FISH), dGH™ is capable of identifying inter-chromosomal rearrangements (translocations between chromosomes), but its distinctive strength stems from its ability to detect intra-chromosomal rearrangements (inversions within chromosomes), and to do so at higher resolution than previously possible. dGH™ brings together the strand specificity and directionality of CO-FISH with sophisticated bioinformatics-based oligonucleotide probe design to unique sequences. dGH™ serves not only as a powerful discovery tool-capable of interrogating the entire genome at the megabase level-it can also be used for high-resolution targeted detection of known inversions, a valuable attribute in both research and clinical settings. Detection of chromosomal inversions, particularly small ones, poses a formidable challenge for more traditional cytogenetic approaches, especially when they occur near the ends or telomeric regions. Here, we describe Telo-dGH™, a strand-specific scheme that utilizes dGH™ in combination with telomere CO-FISH to differentiate between terminal exchange events, specifically terminal inversions, and an altogether different form of genetic recombination that often occurs near the telomere, namely sister chromatid exchange (SCE). |
Mendeley readers
Geographical breakdown
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Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 2 | 40% |
Student > Postgraduate | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
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Computer Science | 2 | 40% |
Agricultural and Biological Sciences | 1 | 20% |
Medicine and Dentistry | 1 | 20% |
Unknown | 1 | 20% |