TY - JOUR
T1 - A comprehensive transcript index of the human genome generated using microarrays and computational approaches.
AU - Schadt, Eric E.
AU - Edwards, Stephen W.
AU - GuhaThakurta, Debraj
AU - Holder, Dan
AU - Ying, Lisa
AU - Svetnik, Vladimir
AU - Leonardson, Amy
AU - Hart, Kyle W.
AU - Russell, Archie
AU - Li, Guoya
AU - Cavet, Guy
AU - Castle, John
AU - McDonagh, Paul
AU - Kan, Zhengyan
AU - Chen, Ronghua
AU - Kasarskis, Andrew
AU - Margarint, Mihai
AU - Caceres, Ramon M.
AU - Johnson, Jason M.
AU - Armour, Christopher D.
AU - Garrett-Engele, Philip W.
AU - Tsinoremas, Nicholas F.
AU - Shoemaker, Daniel D.
N1 - Copyright:
This record is sourced from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
PY - 2004
Y1 - 2004
N2 - BACKGROUND: Computational and microarray-based experimental approaches were used to generate a comprehensive transcript index for the human genome. Oligonucleotide probes designed from approximately 50,000 known and predicted transcript sequences from the human genome were used to survey transcription from a diverse set of 60 tissues and cell lines using ink-jet microarrays. Further, expression activity over at least six conditions was more generally assessed using genomic tiling arrays consisting of probes tiled through a repeat-masked version of the genomic sequence making up chromosomes 20 and 22. RESULTS: The combination of microarray data with extensive genome annotations resulted in a set of 28,456 experimentally supported transcripts. This set of high-confidence transcripts represents the first experimentally driven annotation of the human genome. In addition, the results from genomic tiling suggest that a large amount of transcription exists outside of annotated regions of the genome and serves as an example of how this activity could be measured on a genome-wide scale. CONCLUSIONS: These data represent one of the most comprehensive assessments of transcriptional activity in the human genome and provide an atlas of human gene expression over a unique set of gene predictions. Before the annotation of the human genome is considered complete, however, the previously unannotated transcriptional activity throughout the genome must be fully characterized.
AB - BACKGROUND: Computational and microarray-based experimental approaches were used to generate a comprehensive transcript index for the human genome. Oligonucleotide probes designed from approximately 50,000 known and predicted transcript sequences from the human genome were used to survey transcription from a diverse set of 60 tissues and cell lines using ink-jet microarrays. Further, expression activity over at least six conditions was more generally assessed using genomic tiling arrays consisting of probes tiled through a repeat-masked version of the genomic sequence making up chromosomes 20 and 22. RESULTS: The combination of microarray data with extensive genome annotations resulted in a set of 28,456 experimentally supported transcripts. This set of high-confidence transcripts represents the first experimentally driven annotation of the human genome. In addition, the results from genomic tiling suggest that a large amount of transcription exists outside of annotated regions of the genome and serves as an example of how this activity could be measured on a genome-wide scale. CONCLUSIONS: These data represent one of the most comprehensive assessments of transcriptional activity in the human genome and provide an atlas of human gene expression over a unique set of gene predictions. Before the annotation of the human genome is considered complete, however, the previously unannotated transcriptional activity throughout the genome must be fully characterized.
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M3 - Article
C2 - 15461792
AN - SCOPUS:12344302543
VL - 5
SP - R73
JO - Genome Biology
JF - Genome Biology
SN - 1465-6914
IS - 10
ER -