A comprehensive transcript index of the human genome generated using microarrays and computational approaches

Genome Biol. 2004;5(10):R73. doi: 10.1186/gb-2004-5-10-r73. Epub 2004 Sep 23.

Abstract

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.

MeSH terms

  • Chromosomes, Human, Pair 20 / genetics
  • Chromosomes, Human, Pair 22 / genetics
  • Computational Biology*
  • Conserved Sequence / genetics
  • Gene Expression Profiling*
  • Genome, Human*
  • Humans
  • Oligonucleotide Array Sequence Analysis*
  • Organ Specificity
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Transcription, Genetic / genetics*