Key Points
-
In-depth analyses of the transcriptional outputs of eukaryotic genomes suggest that the information content of a genome is complex, and that this complexity manifests itself at two levels: the fraction of the genome that is devoted to encoding functional elements is higher than expected, and multiple functional elements can exist in a single region.
-
The architecture of the eukaryotic transcriptome is clearly much more complex than could have been anticipated in terms of the number of nucleotides that are transcribed and the final arrangements of nucleotides that are present in mature processed RNA molecules.
-
The complexity of genomic organization suggests that the currently accepted model, by which each region of DNA carries a single discrete function, must be re-evaluated, and an interleaved model for the arrangement of functional elements is more likely to represent the informational content of eukaryotic genomes.
-
Despite the potential problems that are presented by use of the same genomic space for multiple purposes, the following advantages are brought by this complex genomic organization: an increase in protein-coding transcript diversity; a widespread adoption of RNA transcripts as regulatory agents; and a reliance on transcription as a regulatory process.
-
On a global level, an interleaved genomic organization of functional elements seems to be preserved in different kingdoms, and the arrangement of specific overlapping functional elements is preserved among different species. This suggests that such a model does indeed provide advantages throughout evolution.
-
Mutations at non-canonical sites, such as intronic regions that lie distal from splice sites, can affect fitness if they involve internal promoter regions, an exon of an overlapping transcript or a short RNA.
Abstract
Recent evidence of genome-wide transcription in several species indicates that the amount of transcription that occurs cannot be entirely accounted for by current sets of genome-wide annotations. Evidence indicates that most of both strands of the human genome might be transcribed, implying extensive overlap of transcriptional units and regulatory elements. These observations suggest that genomic architecture is not colinear, but is instead interleaved and modular, and that the same genomic sequences are multifunctional: that is, used for multiple independently regulated transcripts and as regulatory regions. What are the implications and consequences of such an interleaved genomic architecture in terms of increased information content, transcriptional complexity, evolution and disease states?
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Jacob, F. & Monod, J. Genetic regulatory mechanisms in the synthesis of proteins. J. Mol. Biol. 3, 318–356 (1961). A seminal work on the regulation of gene expression; the first to suggest that RNA could have a role.
Johnson, J. M., Edwards, S., Shoemaker, D. & Schadt, E. E. Dark matter in the genome: evidence of widespread transcription detected by microarray tiling experiments. Trends Genet. 21, 93–102 (2005).
Cheng, J. et al. Transcriptional maps of 10 human chromosomes at 5-nucleotide resolution. Science 308, 1149–1154 (2005).
ENCODE Project Consortium. The ENCODE (ENCyclopedia Of DNA Elements) project. Science 306, 636–640 (2004).
ENCODE Project Consortium. The ENCODE pilot project: identification and analysis of functional elements in 1% of the human genome. Nature (in the press).
Imanishi, T. et al. Integrative annotation of 21,037 human genes validated by full-length cDNA clones. PLoS Biol. 2, e162 (2004).
Carninci, P. et al. The transcriptional landscape of the mammalian genome. Science 309, 1559–1563 (2005). This reference provides an unparalleled insight into the complexity of the mouse transcriptome on the basis of sequencing of full-length cDNAs and cDNA tags.
Willingham, A. T. & Gingeras, T. R. TUF love for 'junk' DNA. Cell 125, 1215–1220 (2006).
Kapranov, P. et al. Genome-wide RNA maps reveal interlaced transcript architecture, new classes of RNAs and possible function for pervasive transcription. Science (in the press).
Katayama, S. et al. Antisense transcription in the mammalian transcriptome. Science 309, 1564–1566 (2005).
Ge, X., Wu, Q., Jung, Y. C., Chen, J. & Wang, S. M. A large quantity of novel human antisense transcripts detected by LongSAGE. Bioinformatics 22, 2475–2479 (2006).
Zhang, Y., Liu, X. S., Liu, Q. R. & Wei, L. Genome-wide in silico identification and analysis of cis natural antisense transcripts (cis-NATs) in ten species. Nucleic Acids Res. 34, 3465–3475 (2006).
Carninci, P. et al. Genome-wide analysis of mammalian promoter architecture and evolution. Nature Genet. 38, 626–635 (2006).
Denoeud, F. et al. Prominent use of distal 5′ transcription start sites and discovery of a large number of additional exons in ENCODE regions. Genome Res. (in the press).
Manak, J. R. et al. Biological function of unannotated transcription during the early development of Drosophila melanogaster. Nature Genet. 38, 1151–1158 (2006).
Kapranov, P. et al. Examples of the complex architecture of the human transcriptome revealed by RACE and high-density tiling arrays. Genome Res. 15, 987–997 (2005).
Parra, G. et al. Tandem chimerism as a means to increase protein complexity in the human genome. Genome Res. 16, 37–44 (2006).
Akiva, P. et al. Transcription-mediated gene fusion in the human genome. Genome Res. 16, 30–36 (2006). References 14–18 were the first studies to detail developmental and tissue- or cell-type-specific regulatory regions that are distal from the genes they regulate, often utilizing promoters and exons from upstream genes to form chimeric versions of well annotated protein-coding transcripts.
Horiuchi, T. & Aigaki, T. Alternative trans-splicing: a novel mode of pre-mRNA processing. Biol. Cell 98, 135–140 (2006).
Finta, C., Warner, S. C. & Zaphiropoulos, P. G. Intergenic mRNAs. Minor gene products or tools of diversity? Histol. Histopathol. 17, 677–682 (2002).
Chen, C. et al. High frequency trans-splicing in a cell line producing spliced and polyadenylated RNA polymerase I transcripts from an rDNA–myc chimeric gene. Nucleic Acids Res. 33, 2332–2342 (2005).
Kikumori, T., Cote, G. J. & Gagel, R. F. Naturally occurring heterologous trans-splicing of adenovirus RNA with host cellular transcripts during infection. FEBS Lett. 522, 41–46 (2002).
Cawley, S. et al. Unbiased mapping of transcription factor binding sites along human chromosomes 21 and 22 points to widespread regulation of noncoding RNAs. Cell 116, 499–509 (2004).
Martone, R. et al. Distribution of NF-κB-binding sites across human chromosome 22. Proc. Natl Acad. Sci. USA 100, 12247–12252 (2003). References 23 and 24 represent the first reports of the unbiased profiling of transcription factor binding sites and provide the first comprehensive evidence for the utilization of promoters in non-canonical genomic locations.
Trinklein, N. D. et al. An abundance of bidirectional promoters in the human genome. Genome Res. 14, 62–66 (2004).
Krakauer, D. C. Stability and evolution of overlapping genes. Evolution 54, 731–739 (2000).
Shcherbakov, D. V. & Garber, M. B. Overlapping genes in bacterial and bacteriophage genomes. Mol. Biol. (Mosk) 34, 572–583 (2000).
Sharov, A. A., Dudekula, D. B. & Ko, M. S. Genome-wide assembly and analysis of alternative transcripts in mouse. Genome Res. 15, 748–754 (2005).
Zavolan, M. et al. Impact of alternative initiation, splicing, and termination on the diversity of the mRNA transcripts encoded by the mouse transcriptome. Genome Res. 13, 1290–1300 (2003).
Britten, R. J. & Davidson, E. H. Gene regulation for higher cells: a theory. Science 165, 349–357 (1969).
Gupta, A., Gartner, J. J., Sethupathy, P., Hatzigeorgiou, A. G. & Fraser, N. W. Anti-apoptotic function of a microRNA encoded by the HSV-1 latency-associated transcript. Nature 442, 82–85 (2006).
Zamore, P. D. & Haley, B. Ribo-gnome: the big world of small RNAs. Science 309, 1519–1524 (2005).
Mattick, J. S. & Makunin, I. V. Small regulatory RNAs in mammals. Hum. Mol. Genet. 14, R121–R132 (2005).
Mattick, J. S. & Makunin, I. V. Non-coding RNA. Hum. Mol. Genet. 15, R17–R29 (2006).
Storz, G., Altuvia, S. & Wassarman, K. M. An abundance of RNA regulators. Annu. Rev. Biochem. 74, 199–217 (2005).
Goodrich, J. A. & Kugel, J. F. Non-coding-RNA regulators of RNA polymerase II transcription. Nature Rev. Mol. Cell Biol. 7, 612–616 (2006).
Prasanth, K. V. & Spector, D. L. Eukaryotic regulatory RNAs: an answer to the 'genome complexity' conundrum. Genes Dev. 21, 11–42 (2007). A comprehensive review of ncRNAs.
Mattick, J. S. RNA regulation: a new genetics? Nature Rev. Genet. 5, 316–323 (2004).
Mattick, J. S. Introns: evolution and function. Curr. Opin. Genet. Dev. 4, 823–831 (1994).
Mattick, J. S. Non-coding RNAs: the architects of eukaryotic complexity. EMBO Rep. 2, 986–991 (2001).
Mattick, J. S. Challenging the dogma: the hidden layer of non-protein-coding RNAs in complex organisms. BioEssays 25, 930–939 (2003). References 38–41 review the concept of RNA as a carrier of information in the cell.
Kim, V. N. & Nam, J. W. Genomics of microRNA. Trends Genet. 22, 165–173 (2006).
Kiss, T. Small nucleolar RNAs: an abundant group of noncoding RNAs with diverse cellular functions. Cell 109, 145–148 (2002).
Bartel, D. P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116, 281–297 (2004).
Filipowicz, W. & Pogacic, V. Biogenesis of small nucleolar ribonucleoproteins. Curr. Opin. Cell Biol. 14, 319–327 (2002).
Huang, Z. P. et al. Genome-wide analyses of two families of snoRNA genes from Drosophila melanogaster, demonstrating the extensive utilization of introns for coding of snoRNAs. RNA 11, 1303–1316 (2005).
Rodriguez, A., Griffiths-Jones, S., Ashurst, J. L. & Bradley, A. Identification of mammalian microRNA host genes and transcription units. Genome Res. 14, 1902–1910 (2004).
Baskerville, S. & Bartel, D. P. Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. RNA 11, 241–247 (2005).
He, H. et al. Profiling Caenorhabditis elegans non-coding RNA expression with a combined microarray. Nucleic Acids Res. 34, 2976–2983 (2006).
Krek, A. et al. Combinatorial microRNA target predictions. Nature Genet. 37, 495–500 (2005).
Lewis, B. P., Burge, C. B. & Bartel, D. P. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 120, 15–20 (2005).
Lewis, B. P., Shih, I. H., Jones-Rhoades, M. W., Bartel, D. P. & Burge, C. B. Prediction of mammalian microRNA targets. Cell 115, 787–798 (2003).
Xie, X. et al. Systematic discovery of regulatory motifs in human promoters and 3′ UTRs by comparison of several mammals. Nature 434, 338–345 (2005).
Lim, L. P. et al. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 433, 769–773 (2005).
Farh, K. K. et al. The widespread impact of mammalian MicroRNAs on mRNA repression and evolution. Science 310, 1817–1821 (2005).
Pollard, K. S. et al. An RNA gene expressed during cortical development evolved rapidly in humans. Nature 443, 167–172 (2006).
Lin, R., Maeda, S., Liu, C., Karin, M. & Edgington, T. S. A large noncoding RNA is a marker for murine hepatocellular carcinomas and a spectrum of human carcinomas. Oncogene 26, 851–858 (2006).
Ginger, M. R. et al. A noncoding RNA is a potential marker of cell fate during mammary gland development. Proc. Natl Acad. Sci. USA 103, 5781–5786 (2006).
Willingham, A. T. et al. A strategy for probing the function of noncoding RNAs finds a repressor of NFAT. Science 309, 1570–1573 (2005). An example of the use of high-throughput technologies to elucidate the function of human ncRNAs.
Sanchez-Elsner, T., Gou, D., Kremmer, E. & Sauer, F. Noncoding RNAs of trithorax response elements recruit Drosophila ASH1 to Ultrabithorax. Science 311, 1118–1123 (2006).
Dean, A. On a chromosome far, far away: LCRs and gene expression. Trends Genet. 22, 38–45 (2006).
Li, Q., Peterson, K. R., Fang, X. & Stamatoyannopoulos, G. Locus control regions. Blood 100, 3077–3086 (2002).
Lewis, A. & Reik, W. How imprinting centres work. Cytogenet. Genome Res. 113, 81–89 (2006).
Zuniga, A. Globalisation reaches gene regulation: the case for vertebrate limb development. Curr. Opin. Genet. Dev. 15, 403–409 (2005).
Ling, J., Baibakov, B., Pi, W., Emerson, B. M. & Tuan, D. The HS2 enhancer of the β-globin locus control region initiates synthesis of non-coding, polyadenylated RNAs independent of a cis-linked globin promoter. J. Mol. Biol. 350, 883–896 (2005).
Masternak, K., Peyraud, N., Krawczyk, M., Barras, E. & Reith, W. Chromatin remodeling and extragenic transcription at the MHC class II locus control region. Nature Immunol. 4, 132–137 (2003).
Ashe, H. L., Monks, J., Wijgerde, M., Fraser, P. & Proudfoot, N. J. Intergenic transcription and transinduction of the human β-globin locus. Genes Dev. 11, 2494–2509 (1997).
O'Neill, M. J. The influence of non-coding RNAs on allele-specific gene expression in mammals. Hum. Mol. Genet. 14, R113–R120 (2005).
Sleutels, F., Zwart, R. & Barlow, D. P. The non-coding Air RNA is required for silencing autosomal imprinted genes. Nature 415, 810–813 (2002).
Mancini-Dinardo, D., Steele, S. J., Levorse, J. M., Ingram, R. S. & Tilghman, S. M. Elongation of the Kcnq1ot1 transcript is required for genomic imprinting of neighboring genes. Genes Dev. 20, 1268–1282 (2006).
Ho, Y., Elefant, F., Liebhaber, S. A. & Cooke, N. E. Locus control region transcription plays an active role in long-range gene activation. Mol. Cell 23, 365–675 (2006).
Ling, J. et al. HS2 enhancer function is blocked by a transcriptional terminator inserted between the enhancer and the promoter. J. Biol. Chem. 279, 51704–51713 (2004). References 69–72 show that long-range transcription is required for gene activation and silencing.
Pauler, F. M. & Barlow, D. P. Imprinting mechanisms — it only takes two. Genes Dev. 20, 1203–1206 (2006).
Johnson, Z. I. & Chisholm, S. W. Properties of overlapping genes are conserved across microbial genomes. Genome Res. 14, 2268–2272 (2004).
Chen, J., Sun, M., Hurst, L. D., Carmichael, G. G. & Rowley, J. D. Genome-wide analysis of coordinate expression and evolution of human cis-encoded sense–antisense transcripts. Trends Genet. 21, 326–329 (2005).
Prescott, E. M. & Proudfoot, N. J. Transcriptional collision between convergent genes in budding yeast. Proc. Natl Acad. Sci. USA 99, 8796–8801 (2002).
Jen, C. H., Michalopoulos, I., Westhead, D. R. & Meyer, P. Natural antisense transcripts with coding capacity in Arabidopsis may have a regulatory role that is not linked to double-stranded RNA degradation. Genome Biol. 6, R51 (2005).
Moorwood, K. et al. Antisense WT1 transcription parallels sense mRNA and protein expression in fetal kidney and can elevate protein levels in vitro. J. Pathol. 185, 352–359 (1998).
Miyata, T. & Yasunaga, T. Evolution of overlapping genes. Nature 272, 532–535 (1978).
Shirasawa, S. et al. SNPs in the promoter of a B cell-specific antisense transcript, SAS-ZFAT, determine susceptibility to autoimmune thyroid disease. Hum. Mol. Genet. 13, 2221–2231 (2004). An example of an intronic SNP that causes predisposition to a disease by influencing the levels of an antisense transcript.
Siepel, A. et al. Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res. 15, 1034–1050 (2005).
Milcarek, C., Price, R. & Penman, S. The metabolism of a poly(A) minus mRNA fraction in HeLa cells. Cell 3, 1–10 (1974).
Hough, B. R., Smith, M. J., Britten, R. J. & Davidson, E. H. Sequence complexity of heterogeneous nuclear RNA in sea urchin embryos. Cell 5, 291–299 (1975).
Holland, C. A., Mayrand, S. & Pederson, T. Sequence complexity of nuclear and messenger RNA in HeLa cells. J. Mol. Biol. 138, 755–778 (1980).
Varley, J. M., Macgregor, H. C. & Erba, H. P. Satellite DNA is transcribed on lampbrush chromosomes. Nature 283, 686–688 (1980).
Salditt-Georgieff, M., Harpold, M. M., Wilson, M. C. & Darnell, J. E. Jr. Large heterogeneous nuclear ribonucleic acid has three times as many 5′ caps as polyadenylic acid segments, and most caps do not enter polyribosomes. Mol. Cell. Biol. 1, 179–187 (1981). References 82–86 provide the first indications that a large fraction of the eukaryotic genome is transcribed, and that non-polyadenylated RNA is prevalent.
Selinger, D. W. et al. RNA expression analysis using a 30 base pair resolution Escherichia coli genome array. Nature Biotechnol. 18, 1262–1268 (2000).
Yamada, K. et al. Empirical analysis of transcriptional activity in the Arabidopsis genome. Science 302, 842–846 (2003).
Stolc, V. et al. A gene expression map for the euchromatic genome of Drosophila melanogaster. Science 306, 655–660 (2004).
Bertone, P. et al. Global identification of human transcribed sequences with genome tiling arrays. Science 306, 2242–2246 (2004).
Li, L. et al. Genome-wide transcription analyses in rice using tiling microarrays. Nature Genet. 38, 124–129 (2006).
Samanta, M. P. et al. The transcriptome of the sea urchin embryo. Science 314, 960–962 (2006).
David, L. et al. A high-resolution map of transcription in the yeast genome. Proc. Natl Acad. Sci. USA 103, 5320–5325 (2006).
Kapranov, P. et al. Large-scale transcriptional activity in chromosomes 21 and 22. Science 296, 916–919 (2002). The first unbiased high-resolution microarray-based study of the genomics era, showing that the transcriptional complexity of human cytosolic polyadenylated RNA is up to an order of magnitude more complex that can be explained by exons of known genes.
Rinn, J. L. et al. The transcriptional activity of human Chromosome 22. Genes Dev. 17, 529–540 (2003).
Shiraki, T. et al. Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usage. Proc. Natl Acad. Sci. USA 100, 15776–15781 (2003).
Ng, P. et al. Gene identification signature (GIS) analysis for transcriptome characterization and genome annotation. Nature Methods 2, 105–111 (2005).
Chen, J. et al. Identifying novel transcripts and novel genes in the human genome by using novel SAGE tags. Proc. Natl Acad. Sci. USA 99, 12257–12262 (2002).
Saha, S. et al. Using the transcriptome to annotate the genome. Nature Biotechnol. 20, 508–512 (2002).
Ambros, V., Lee, R. C., Lavanway, A., Williams, P. T. & Jewell, D. MicroRNAs and other tiny endogenous RNAs in C. elegans. Curr. Biol. 13, 807–818 (2003).
Deng, W. et al. Organization of the Caenorhabditis elegans small non-coding transcriptome: genomic features, biogenesis, and expression. Genome Res. 16, 20–29 (2006).
Ruby, J. G. et al. Large-scale sequencing reveals 21U-RNAs and additional microRNAs and endogenous siRNAs in C. elegans. Cell 127, 1193–1207 (2006).
Lu, C. et al. Elucidation of the small RNA component of the transcriptome. Science 309, 1567–1569 (2005).
Aravin, A. et al. A novel class of small RNAs bind to MILI protein in mouse testes. Nature 442, 203–207 (2006).
Girard, A., Sachidanandam, R., Hannon, G. J. & Carmell, M. A. A germline-specific class of small RNAs binds mammalian Piwi proteins. Nature 442, 199–202 (2006).
Grivna, S. T., Beyret, E., Wang, Z. & Lin, H. A novel class of small RNAs in mouse spermatogenic cells. Genes Dev. 20, 1709–1714 (2006).
Lau, N. C. et al. Characterization of the piRNA complex from rat testes. Science 313, 363–367 (2006).
Watanabe, T. et al. Identification and characterization of two novel classes of small RNAs in the mouse germline: retrotransposon-derived siRNAs in oocytes and germline small RNAs in testes. Genes Dev. 20, 1732–1743 (2006).
Jongeneel, C. V. et al. An atlas of human gene expression from massively parallel signature sequencing (MPSS). Genome Res. 15, 1007–1014 (2005).
Okazaki, Y. et al. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs. Nature 420, 563–573 (2002).
Kim, T. H. et al. A high-resolution map of active promoters in the human genome. Nature 436, 876–880 (2005).
Wei, C. L. et al. A global map of p53 transcription-factor binding sites in the human genome. Cell 124, 207–219 (2006).
Velculescu, V. E., Zhang, L., Vogelstein, B. & Kinzler, K. W. Serial analysis of gene expression. Science 270, 484–487 (1995).
Metzker, M. L. Emerging technologies in DNA sequencing. Genome Res. 15, 1767–1776 (2005).
Elvidge, G. Microarray expression technology: from start to finish. Pharmacogenomics 7, 123–134 (2006).
Kapranov, P., Sementchenko, V. I. & Gingeras, T. R. Beyond expression profiling: next generation uses of high density oligonucleotide arrays. Brief. Funct. Genomic. Proteomic. 2, 47–56 (2003).
Mockler, T. C. et al. Applications of DNA tiling arrays for whole-genome analysis. Genomics 85, 1–15 (2005).
Karolchik, D. et al. The UCSC Genome Browser Database. Nucleic Acids Res. 31, 51–54 (2003).
Kent, W. J. et al. The human genome browser at UCSC. Genome Res. 12, 996–1006 (2002).
Acknowledgements
We apologize to the authors whose primary work has not been cited due to the space constraints. Some of the work described in this Review has been funded in part with Federal Funds from the US National Cancer Institute and from the US National Human Genome Research Institute, and by Affymetrix. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Service, nor does mention of trade names, commercial products or organizations imply endorsement by the US Government.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors are employees of Affymetrix, Inc.
Related links
Related links
FURTHER INFORMATION
Affymetrix Human Transcriptome web site
Glossary
- Tiling array
-
A microarray design in which the probes are selected to interrogate a genome with a consistent, pre-determined spacing between each probe.
- SAGE
-
Serial analysis of gene expression; a technique for mapping the 3′ ends of transcripts.
- PET
-
Paired-end ditag; a method that extracts 36-bp signatures with 18 bp from the 5′ end and another 18 bp from the 3′ end of each cDNA.
- Pyrosequencing
-
A method for DNA sequencing in which the inorganic pyrophosphate (PPi) that is released from a nucleoside triphosphate on DNA chain elongation is detected by a bioluminometric assay.
- Massively parallel signature sequencing
-
A sequencing procedure that allows the reading, in parallel, of short sequence segments of about 17 or 12 nucleotides long, from hundreds of thousands of microbead-attached cDNAs.
- LongSAGE
-
Long serial analysis of of gene expression; a method that allows for the cloning of 20-nucleotide SAGE tags.
- RACE/tiling arrays
-
An unbiased, high-throughput method to identify the extents of DNA products from rapid amplification of cDNA ends (RACE) reactions by hybridizing them to tiling arrays.
- CAGE
-
Cap analysis of gene expression; a technique for mapping the 5′ ends of transcripts.
- P element
-
A member of a family of transposable elements that are widely used as the basis of tools for mutating and manipulating the genome of Drosophila melanogaster.
- ChIP–chip
-
A method that combines chromatin immunoprecipitation with microarray technology to identify in vivo sites of protein–DNA interactions.
- MicroRNA
-
A form of ssRNA, typically 20–25 nucleotides long that is thought to regulate the expression of other genes, either through inhibiting protein translation or degrading a target mRNA transcript through a process that is similar to RNAi.
- snoRNA
-
A type of small RNA, the functions of which include RNA cleavage and specification of sites of ribose methylation and pseudouridylation.
- snRNA
-
A small RNA molecule that functions in the nucleus by guiding the assembly of macromolecular complexes on the target RNA to allow site-specific modifications or processing reactions to occur.
- Locus control region
-
A cis-acting sequence that organizes a gene cluster into an active chromatin block and enhances transcription.
- Evolutionary conservation scores
-
A quantitative measure of evolutionary relationships derived from comparative analysis of genomic DNA sequences from multiple species. Phastcons are one type of evolutionary conservation score.
Rights and permissions
About this article
Cite this article
Kapranov, P., Willingham, A. & Gingeras, T. Genome-wide transcription and the implications for genomic organization. Nat Rev Genet 8, 413–423 (2007). https://doi.org/10.1038/nrg2083
Published:
Issue Date:
DOI: https://doi.org/10.1038/nrg2083
This article is cited by
-
Dynamic RNA profiles in the small intestinal epithelia of cats after Toxoplasma gondii infection
Infectious Diseases of Poverty (2023)
-
Analysis of long non-coding RNAs associated with disulfidptosis for prognostic signature and immunotherapy response in uterine corpus endometrial carcinoma
Scientific Reports (2023)
-
Epigenetic regulation in hematopoiesis and its implications in the targeted therapy of hematologic malignancies
Signal Transduction and Targeted Therapy (2023)
-
Changes in the Expression of Long Non-Coding RNA SDMGC and Its Target Gene, TRIM16, in Patients with Gastric Cancer
Journal of Gastrointestinal Cancer (2023)
-
Investigation of rumen long noncoding RNA before and after weaning in cattle
BMC Genomics (2022)