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Novel RNAs Identified From an In-Depth Analysis of the Transcriptome of Human Chromosomes 21 and 22
Open accessAbstract
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.
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The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
Cawley, S., Bekiranov, S., Ng, H. H., Kapranov, P., Sekinger, E. A., Kampa, D., Piccolboni, A., Sementchenko, V., Cheng, J., Williams, A. J., et al. (2004) · Cell · doi:10.1016/s0092-8674(04)00127-8 · Cited by 1,095
Self-citationUsing the transcriptome to annotate the genome
Saha, S., Sparks, A. B., Rago, C., Akmaev, V., Wang, C. J., Vogelstein, B., Kinzler, K. W., & Velculescu, V. E. (2002) · Nature Biotechnology · doi:10.1038/nbt0502-508 · Cited by 630
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Evolution and Functions of Long Noncoding RNAs
Ponting, C. P., Oliver, P. L., & Reik, W. (2009) · Cell · doi:10.1016/j.cell.2009.02.006 · Cited by 4,208
RNA regulation: A new genetics?
Mattick, J. S. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1321 · Cited by 765
Chromosome 21 and Down syndrome: from genomics to pathophysiology
Antonarakis, S. E., Lyle, R., Dermitzakis, E. T., Reymond, A., & Deutsch, S. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1448 · Cited by 703
The Antisense Transcriptomes of Human Cells
He, Y., Vogelstein, B., Velculescu, V. E., Papadopoulos, N., & Kinzler, K. W. (2008) · Science · doi:10.1126/science.1163853 · Cited by 531
Regulation of gene expression via the core promoter and the basal transcriptional machinery
Juven-Gershon, T., & Kadonaga, J. T. (2010) · Developmental Biology · doi:10.1016/j.ydbio.2009.08.009 · Cited by 490
The biology of intron gain and loss
Jeffares, D. C., Mourier, T., & Penny, D. (2006) · Trends in Genetics · doi:10.1016/j.tig.2005.10.006 · Cited by 296
Bainbridge, M. N., Warren, R. L., Hirst, M., Romanuik, T., Zeng, T., Go, A., Delaney, A., Griffith, M., Hickenbotham, M., Magrini, V., et al. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-246 · Cited by 222
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Genome-wide Analysis of Alternative Pre-mRNA Splicing
Ben-Dov, C., Hartmann, B., Lundgren, J., & Valcárcel, J. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.r700033200 · Cited by 151
Genomic mapping of RNA polymerase II reveals sites of co-transcriptional regulation in human cells
Brodsky, A. S., Meyer, C. A., Swinburne, I. A., Hall, G., Keenan, B. J., Liu, X. S., Fox, E. A., & Silver, P. A. (2005) · Genome Biology · doi:10.1186/gb-2005-6-8-r64 · Cited by 94
Analyzing Schizophrenia by DNA Microarrays
Horváth, S., Janka, Z., & Mirnics, K. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.017 · Cited by 64
Biemar, F., Nix, D. A., Piel, J., Peterson, B., Ronshaugen, M., Sementchenko, V., Bell, I., Manak, J. R., & Levine, M. S. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604484103 · Cited by 53
Metadata
- Authors
- Kampa, D., Cheng, J., Kapranov, P., Yamanaka, M., Brubaker, S., Cawley, S., Drenkow, J., Piccolboni, A., Bekiranov, S., Helt, G., Tammana, H., & Gingeras, T. R.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2004-03
- Volume
- 14
- Issue
- 3
- Pages
- 331-342
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W2143593381
- Cited by
- 526
- References
- 3
- Type
- posted content
- Language
- en
- Open access
- bronze
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