Gene expression analysis by transcript profiling coupled to a gene database query
| Autor: | Gregory T. Went, Matthew E. Roth, Patricia D. Sehl, Kenneth J. Hillan, Michael P. Daley, Michael P. McKenna, Andreas Windemuth, Michael T. Murtha, David G. Lowe, Steven Allen Gold, John W. Simpson, Jan Fredrik Simons, Jonathan M. Rothberg, Paul Predki, Bonnie E. Gould Rothberg, Renhui Yang, Suresh Shenoy, Hongkui Jin, Julie Tsu-Ning Tai, Richard A. Shimkets |
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| Rok vydání: | 1999 |
| Předmět: |
Male
Databases Factual Biomedical Engineering Gene Expression Cardiomegaly Bioengineering Computational biology Biology Sensitivity and Specificity Applied Microbiology and Biotechnology Rats Sprague-Dawley Fingerprint In vivo Gene expression Animals Humans RNA Messenger Gene Genetics Oligonucleotide Reproducibility of Results GeneCalling Rats Gene expression profiling Restriction enzyme Molecular Medicine HeLa Cells Biotechnology |
| Zdroj: | Nature Biotechnology. 17:798-803 |
| ISSN: | 1546-1696 1087-0156 |
| Popis: | We describe an mRNA profiling technique for determining differential gene expression that utilizes, but does not require, prior knowledge of gene sequences. This method permits high-throughput reproducible detection of most expressed sequences with a sensitivity of greater than 1 part in 100,000. Gene identification by database query of a restriction endonuclease fingerprint, confirmed by competitive PCR using gene-specific oligonucleotides, facilitates gene discovery by minimizing isolation procedures. This process, called GeneCalling, was validated by analysis of the gene expression profiles of normal and hypertrophic rat hearts following in vivo pressure overload. |
| Databáze: | OpenAIRE |
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