The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.
The Case for Junk DNA
Open accessAbstract
With the advent of deep sequencing technologies and the ability to analyze whole genome sequences and transcriptomes, there has been a growing interest in exploring putative functions of the very large fraction of the genome that is commonly referred to as ''junk DNA.''Whereas this is an issue of considerable importance in genome biology, there is an unfortunate tendency for researchers and science writers to proclaim the demise of junk DNA on a regular basis without properly addressing some of the fundamental issues that first led to the rise of the concept.In this review, we provide an overview of the major arguments that have been presented in support of the notion that a large portion of most eukaryotic genomes lacks an organism-level function.Some of these are based on observations or basic genetic principles that are decades old, whereas others stem from new knowledge regarding molecular processes such as transcription and gene regulation.
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Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Ohno, S. (1970) · doi:10.1007/978-3-642-86659-3 · Cited by 7,833
The Neutral Theory of Molecular Evolution
Kimura, M. (1979) · Scientific American · doi:10.1038/scientificamerican1179-98 · Cited by 7,666
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?
Salmena, L., Poliseno, L., Tay, Y., Kats, L., & Pandolfi, P. P. (2011) · Cell · doi:10.1016/j.cell.2011.07.014 · Cited by 7,262
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Derrien, T., Johnson, R., Bussotti, G., Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,061
Evolutionary Rate at the Molecular Level
KIMURA, M. (1968) · Nature · doi:10.1038/217624a0 · Cited by 3,737
Britten, R. J., & Kohne, D. E. (1968) · Science · doi:10.1126/science.161.3841.529 · Cited by 2,802
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Volatile evolution of long noncoding RNA repertoires: mechanisms and biological implications
Kapusta, A., & Feschotte, C. (2014) · Trends in Genetics · doi:10.1016/j.tig.2014.08.004 · Cited by 295
Cremer, T., Cremer, M., Hübner, B., Strickfaden, H., Smeets, D., Popken, J., Sterr, M., Markaki, Y., Rippe, K., & Cremer, C. (2015) · FEBS Letters · doi:10.1016/j.febslet.2015.05.037 · Cited by 246
The role of telomeres in the mechanisms and evolution of life-history trade-offs and ageing
Young, A. J. (2018) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0452 · Cited by 189
Viruses and mobile elements as drivers of evolutionary transitions
Koonin, E. V. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0442 · Cited by 161
Genetic Changes Shaping the Human Brain
Bae, B.-I., Jayaraman, D., & Walsh, C. A. (2015) · Developmental Cell · doi:10.1016/j.devcel.2015.01.035 · Cited by 135
Metadata
- Authors
- Palazzo, A. F., & Gregory, T. R.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-05-08
- Volume
- 10
- Issue
- 5
- Pages
- e1004351
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W2038138598
- Cited by
- 279
- References
- 120
- FWCI
- 32.44
- Type
- journal article
- Language
- en
- Open access
- gold
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