The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Transcriptional landscape of repetitive elements in normal and cancer human cells
Open accessAbstract
BACKGROUND: Repetitive elements comprise at least 55% of the human genome with more recent estimates as high as two-thirds. Most of these elements are retrotransposons, DNA sequences that can insert copies of themselves into new genomic locations by a "copy and paste" mechanism. These mobile genetic elements play important roles in shaping genomes during evolution, and have been implicated in the etiology of many human diseases. Despite their abundance and diversity, few studies investigated the regulation of endogenous retrotransposons at the genome-wide scale, primarily because of the technical difficulties of uniquely mapping high-throughput sequencing reads to repetitive DNA. RESULTS: Here we develop a new computational method called RepEnrich to study genome-wide transcriptional regulation of repetitive elements. We show that many of the Long Terminal Repeat retrotransposons in humans are transcriptionally active in a cell line-specific manner. Cancer cell lines display increased RNA Polymerase II binding to retrotransposons than cell lines derived from normal tissue. Consistent with increased transcriptional activity of retrotransposons in cancer cells we found significantly higher levels of L1 retrotransposon RNA expression in prostate tumors compared to normal-matched controls. CONCLUSIONS: Our results support increased transcription of retrotransposons in transformed cells, which may explain the somatic retrotransposition events recently reported in several types of cancers.
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Cites
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
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
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
The accessible chromatin landscape of the human genome
Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., et al. (2012) · Nature · doi:10.1038/nature11232 · Cited by 2,679
A map of the cis-regulatory sequences in the mouse genome
Shen, Y., Yue, F., McCleary, D. F., Ye, Z., Edsall, L., Kuan, S., Wagner, U., Dixon, J., Lee, L., Lobanenkov, V. V., et al. (2012) · Nature · doi:10.1038/nature11243 · Cited by 1,361 · cited 8×
“We utilized a ChIP-seq dataset for RNA polymerase II (Pol II) conducted in K562 cell-line (Additional file 2: Table S1), and applied the GLM to identify repetitive elements enrichment for Pol-II with respect to input.”
MethodInfluentialLandscape of Somatic Retrotransposition in Human Cancers
Lee, E., Iskow, R., Yang, L., Gokcumen, O., Haseley, P., Luquette, L. J., Lohr, J. G., Harris, C. C., Ding, L., Wilson, R. K., et al. (2012) · Science · doi:10.1126/science.1222077 · Cited by 762
Cited by
L1 drives IFN in senescent cells and promotes age-associated inflammation
De Cecco, M., Ito, T., Petrashen, A. P., Elias, A. E., Skvir, N. J., Criscione, S. W., Caligiana, A., Brocculi, G., Adney, E. M., Boeke, J. D., et al. (2019) · Nature · doi:10.1038/s41586-018-0784-9 · Cited by 1,255
“The mappable clones were also assigned to individual L1 families using RepEnrich software 55 .”
Self-citationPal, S., & Tyler, J. K. (2016) · Science Advances · doi:10.1126/sciadv.1600584 · Cited by 860
Transposable elements become active and mobile in the genomes of aging mammalian somatic tissues
De Cecco, M., Criscione, S. W., Peterson, A. L., Neretti, N., Sedivy, J. M., & Kreiling, J. A. (2013) · Aging · doi:10.18632/aging.100621 · Cited by 365
Self-citationKong, Y., Rose, C. M., Cass, A. A., Williams, A. G., Darwish, M., Lianoglou, S., Haverty, P. M., Tong, A.-J., Blanchette, C., Albert, M. L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13035-2 · Cited by 285
Wood, J. G., Jones, B. C., Jiang, N., Chang, C., Hosier, S., Wickremesinghe, P., Garcia, M., Hartnett, D. A., Burhenn, L., Neretti, N., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604621113 · Cited by 214
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Metadata
- Authors
- Criscione, S. W., Zhang, Y., Thompson, W., Sedivy, J. M., & Neretti, N.
- Venue
- BMC Genomics
- Published
- 2014-07-11
- Volume
- 15
- Issue
- 1
- Pages
- 583-583
- ISSN
- 1471-2164 (ISSN-L)
- OpenAlex
- W2145214649
- Cited by
- 312
- References
- 13
- FWCI
- 21.26
- Type
- journal article
- Language
- en
- Open access
- gold
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