Expression profiling using a hexamer-based universal microarray

Autor: Stephen W Powell, Anthony Valerio, Kevin J. Mcconnell, Michelle Lacey, Li Feng, Paul M. Lizardi, Chris Michaelson, Barbara Jedrzkiewicz, Junhyong Kim, Brent A. Orr, Jane S Merkel, Matthew E. Roth, David M. Kranz, Jayashree Hariharan, Joseph C. Kaufman, Lorri Guccione, Jonathan Hnath, Anton Tevelev, Carol D Graham, Maura J Ford, Craig E Parman, Brenda Zolla, Jason P Affourtit, Darin R. Latimer, Cesar E. Guerra, Conrad Halling, Debasish Raha, Kevin R Piper, Paul J. Schaffer, Harish Krishnaswamy, Jennifer Lane, Rixin Wang, Martin J. Mattessich, Ji Liao, Gino Intrieri, Lisa Guccione, Clotilde Perbost, Baoge Ying
Rok vydání: 2004
Předmět:
Zdroj: Nature Biotechnology. 22:418-426
ISSN: 1546-1696
1087-0156
DOI: 10.1038/nbt948
Popis: We describe a transcriptional analysis platform consisting of a universal micro-array system (UMAS) combined with an enzymatic manipulation step that is capable of generating expression profiles from any organism without requiring a priori species-specific knowledge of transcript sequences. The transcriptome is converted to cDNA and processed with restriction endonucleases to generate low-complexity pools (approximately 80-120) of equal length DNA fragments. The resulting material is amplified and detected with the UMAS system, comprising all possible 4,096 (4(6)) DNA hexamers. Ligation to the arrays yields thousands of 14-mer sequence tags. The compendium of signals from all pools in the array-of-universal arrays comprises a full-transcriptome expression profile. The technology was validated by analysis of the galactose response of Saccharomyces cerevisiae, and the resulting profiles showed excellent agreement with the literature and real-time PCR assays. The technology was also used to demonstrate expression profiling from a hybrid organism in a proof-of-concept experiment where a T-cell receptor gene was expressed in yeast.
Databáze: OpenAIRE