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Rep‐Seq: uncovering the immunological repertoire through next‐generation sequencing
Open accessAbstract
Summary: Recent scientific discoveries fuelled by the application of next‐generation DNA and RNA sequencing technologies highlight the striking impact of these platforms in characterizing multiple aspects in genomics research. This technology has been used in the study of the B‐cell and T‐cell receptor repertoire. The novelty of immunosequencing comes from the recent rapid development of techniques and the exponential reduction in cost of sequencing. Here, we describe some of the technologies, which we collectively refer to as Rep‐Seq (repertoire sequencing), to portray achievements in the field and to present the essential and inseparable role of next‐generation sequencing to the understanding of entities in immune response. The large Rep‐Seq data sets that should be available in the near future call for new computational algorithms to segue the transition from ‘classic’ molecular‐based analysis to system‐wide analysis. The combination of new algorithms with high‐throughput data will form the basis for possible new clinical implications in personalized medicine and deeper understanding of immune behaviour and immune response.
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Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
Somatic generation of antibody diversity
Tonegawa, S. (1983) · Nature · doi:10.1038/302575a0 · Cited by 4,005
Genotype and SNP calling from next-generation sequencing data
Nielsen, R., Paul, J. S., Albrechtsen, A., & Song, Y. S. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2986 · Cited by 1,396
Reddy, S. T., Ge, X., Miklos, A. E., Hughes, R. A., Kang, S. H., Hoi, K. H., Chrysostomou, C., Hunicke-Smith, S. P., Iverson, B. L., Tucker, P. W., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1673 · Cited by 292
Kuroda, M., Katano, H., Nakajima, N., Tobiume, M., Ainai, A., Sekizuka, T., Hasegawa, H., Tashiro, M., Sasaki, Y., Arakawa, Y., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010256 · Cited by 111
Cited by
The promise and challenge of high-throughput sequencing of the antibody repertoire
Georgiou, G., Ippolito, G. C., Beausang, J., Busse, C. E., Wardemann, H., & Quake, S. R. (2014) · Nature Biotechnology · doi:10.1038/nbt.2782 · Cited by 652
Using synthetic templates to design an unbiased multiplex PCR assay
Carlson, C. S., Emerson, R. O., Sherwood, A. M., Desmarais, C., Chung, M.-W., Parsons, J. M., Steen, M. S., LaMadrid-Herrmannsfeldt, M. A., Williamson, D. W., Livingston, R. J., et al. (2013) · Nature Communications · doi:10.1038/ncomms3680 · Cited by 565
Vander Heiden, J. A., Yaari, G., Uduman, M., Stern, J. N. H., O’Connor, K. C., Hafler, D. A., Vigneault, F., & Kleinstein, S. H. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu138 · Cited by 465
High-throughput sequencing of the paired human immunoglobulin heavy and light chain repertoire
DeKosky, B. J., Ippolito, G. C., Deschner, R. P., Lavinder, J. J., Wine, Y., Rawlings, B. M., Varadarajan, N., Giesecke, C., Dörner, T., Andrews, S. F., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2492 · Cited by 410
Promise of personalized omics to precision medicine
Chen, R., & Snyder, M. (2013) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1198 · Cited by 323
Metadata
- Authors
- Benichou, J., Ben‐Hamo, R., Louzoun, Y., & Efroni, S.
- Venue
- Immunology
- Publisher
- Wiley
- Published
- 2012-01-24
- Volume
- 135
- Issue
- 3
- Pages
- 183-191
- ISSN
- 0019-2805 (ISSN-L)
- 1365-2567
- OpenAlex
- W1940255384
- Cited by
- 236
- References
- 5
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- green
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- Benichou, J., Ben‐Hamo, R., Louzoun, Y., & Efroni, S. (2012). Rep‐Seq: uncovering the immunological repertoire through next‐generation sequencing. Immunology. https://doi.org/10.1111/j.1365-2567.2011.03527.x
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