The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Next-generation DNA sequencing of paired-end tags (PET) for transcriptome and genome analyses
Open accessAbstract
Comprehensive understanding of functional elements in the human genome will require thorough interrogation and comparison of individual human genomes and genomic structures. Such an endeavor will require improvements in the throughputs and costs of DNA sequencing. Next-generation sequencing platforms have impressively low costs and high throughputs but are limited by short read lengths. An immediate and widely recognized solution to this critical limitation is the paired-end tag (PET) sequencing for various applications, collectively called the PET sequencing strategy, in which short and paired tags are extracted from the ends of long DNA fragments for ultra-high-throughput sequencing. The PET sequences can be accurately mapped to the reference genome, thus demarcating the genomic boundaries of PET-represented DNA fragments and revealing the identities of the target DNA elements. PET protocols have been developed for the analyses of transcriptomes, transcription factor binding sites, epigenetic sites such as histone modification sites, and genome structures. The exclusive advantage of the PET technology is its ability to uncover linkages between the two ends of DNA fragments. Using this unique feature, unconventional fusion transcripts, genome structural variations, and even molecular interactions between distant genomic elements can be unraveled by PET analysis. Extensive use of PET data could lead to efficient assembly of individual human genomes, transcriptomes, and interactomes, enabling new biological and clinical insights. With its versatile and powerful nature for DNA analysis, the PET sequencing strategy has a bright future ahead.
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Cites
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
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Genome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
Capturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
SOAP: Short oligonucleotide alignment program
Li, R., Li, Y., Kristiansen, K., & Wang, J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn025 · Cited by 3,597
The impact of translocations and gene fusions on cancer causation
Mitelman, F., Johansson, B., & Mertens, F. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2091 · Cited by 1,400
Simonis, M., Klous, P., Splinter, E., Moshkin, Y., Willemsen, R., de Wit, E., van Steensel, B., & de Laat, W. (2006) · Nature Genetics · doi:10.1038/ng1896 · Cited by 1,386
Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays.
Brenner, S., Johnson, M., Bridgham, J., Golda, G., Lloyd, D. H., Johnson, D., Luo, S., McCurdy, S., Foy, M., Ewan, M., et al. (2000) · Nature Biotechnology · doi:10.1038/76469 · Cited by 1,360
Looping and Interaction between Hypersensitive Sites in the Active β-globin Locus
Tolhuis, B., Palstra, R.-J., Splinter, E., Grosveld, F., & de Laat, W. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00781-5 · Cited by 1,344
A Global Map of p53 Transcription-Factor Binding Sites in the Human Genome
Wei, C.-L., Wu, Q., Vega, V. B., Chiu, K. P., Ng, P., Zhang, T., Shahab, A., Yong, H. C., Fu, Y., Weng, Z., et al. (2006) · Cell · doi:10.1016/j.cell.2005.10.043 · Cited by 1,141
Self-citationMapping and sequencing of structural variation from eight human genomes
Kidd, J. M., Cooper, G. M., Donahue, W. F., Hayden, H. S., Sampas, N., Graves, T., Hansen, N., Teague, B., Alkan, C., Antonacci, F., et al. (2008) · Nature · doi:10.1038/nature06862 · Cited by 1,119
Nuclear organization of the genome and the potential for gene regulation
Fraser, P., & Bickmore, W. (2007) · Nature · doi:10.1038/nature05916 · Cited by 734
Using 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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Eid, J., Fehr, A., Gray, J., Luong, K., Lyle, J., Otto, G., Peluso, P., Rank, D., Baybayan, P., Bettman, B., et al. (2009) · Science · doi:10.1126/science.1162986 · Cited by 3,732
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Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
Genomic views of distant-acting enhancers
Visel, A., Rubin, E. M., & Pennacchio, L. A. (2009) · Nature · doi:10.1038/nature08451 · Cited by 610
Ng, K. P., Hillmer, A. M., Chuah, C. T. H., Juan, W. C., Ko, T. K., Teo, A. S. M., Ariyaratne, P. N., Takahashi, N., Sawada, K., Fei, Y., et al. (2012) · Nature Medicine · doi:10.1038/nm.2713 · Cited by 557
Self-citationNagarajan, N., & Pop, M. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3367 · Cited by 474
Metadata
- Authors
- Fullwood, M. J., Wei, C.-L., Liu, E. T., & Ruan, Y.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2009-04
- Volume
- 19
- Issue
- 4
- Pages
- 521-532
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W2122056961
- Cited by
- 365
- References
- 15
- Type
- posted content
- Language
- en
- Open access
- hybrid
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