Novel RNAs Identified From an In-Depth Analysis of the Transcriptome of Human Chromosomes 21 and 22
AUTOR(ES)
Kampa, Dione
FONTE
Cold Spring Harbor Laboratory Press
RESUMO
In this report, we have achieved a richer view of the transcriptome for Chromosomes 21 and 22 by using high-density oligonucleotide arrays on cytosolic poly(A)+ RNA. Conservatively, only 31.4% of the observed transcribed nucleotides correspond to well-annotated genes, whereas an additional 4.8% and 14.7% correspond to mRNAs and ESTs, respectively. Approximately 85% of the known exons were detected, and up to 21% of known genes have only a single isoform based on exon-skipping alternative expression. Overall, the expression of the well-characterized exons falls predominately into two categories, uniquely or ubiquitously expressed with an identifiable proportion of antisense transcripts. The remaining observed transcription (49.0%) was outside of any known annotation. These novel transcripts appear to be more cell-line-specific and have lower and less variation in expression than the well-characterized genes. Novel transcripts were further characterized based on their distance to annotations, transcript size, coding capacity, and identification as antisense to intronic sequences. By RT-PCR, 126 novel transcripts were independently verified, resulting in a 65% verification rate. These observations strongly support the argument for a re-evaluation of the total number of human genes and an alternative term for “gene” to encompass these growing, novel classes of RNA transcripts in the human genome.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=353210Documentos Relacionados
- In-Depth Profiling of Lysine-Producing Corynebacterium glutamicum by Combined Analysis of the Transcriptome, Metabolome, and Fluxome
- ExPASy: the proteomics server for in-depth protein knowledge and analysis
- Gene family evolution: an in-depth theoretical and simulation analysis of non-linear birth-death-innovation models
- FusionDB: a database for in-depth analysis of prokaryotic gene fusion events
- Annotating the human proteome: the Human Proteome Survey Database (HumanPSD™) and an in-depth target database for G protein-coupled receptors (GPCR-PD™) from Incyte Genomics