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Systematic screening of yeast artificial-chromosome libraries by use of the polymerase chain reaction
- Source :
- Proceedings of the National Academy of Sciences. 87:1213-1217
- Publication Year :
- 1990
- Publisher :
- Proceedings of the National Academy of Sciences, 1990.
-
Abstract
- We have developed an approach for screening ordered arrays of yeast artificial-chromosome (YAC) clones containing human DNA that is based on the polymerase chain reaction (PCR). This approach is designed to determine the locations of positive clones within a YAC library that is stored as individual clones in 96-well microtiter plates. The high sensitivity and specificity of the PCR allow the detection of target sequences in DNA prepared from pools of 1920 or more YAC clones. The PCR-based screening protocol is performed in two successive stages, which effectively limit the location of a positive clone to four microtiter plates (384 clones). Final localization of each positive clone is accomplished by conventional DNA.DNA hybridization using a single filter containing the YAC clones from the appropriate four microtiter plates. This PCR-based screening strategy has proven highly efficient, allowing the identification and isolation of numerous YAC clones containing specific human genes. The prospects of developing a strategy for screening YAC libraries based completely on PCR assays are discussed, as are the potential applications of this approach to the systematic analysis of the human genome.
- Subjects :
- clone (Java method)
Yeast artificial chromosome
Molecular Sequence Data
Saccharomyces cerevisiae
Biology
Molecular cloning
Polymerase Chain Reaction
law.invention
Nucleic acid thermodynamics
law
Chromosomes, Human
Humans
Genomic library
Polymerase chain reaction
Gene Library
Multidisciplinary
Base Sequence
Genome, Human
Nucleic Acid Hybridization
DNA
Nucleic acid amplification technique
Molecular biology
Genes
Human genome
Chromosomes, Fungal
Oligonucleotide Probes
Nucleic Acid Amplification Techniques
Research Article
Subjects
Details
- ISSN :
- 10916490 and 00278424
- Volume :
- 87
- Database :
- OpenAIRE
- Journal :
- Proceedings of the National Academy of Sciences
- Accession number :
- edsair.doi.dedup.....c9050d2527591ae00cbc602bef3b21b6
- Full Text :
- https://doi.org/10.1073/pnas.87.3.1213