Literature DB >> 22043864

Rep-Seq: uncovering the immunological repertoire through next-generation sequencing.

Jennifer Benichou1, Rotem Ben-Hamo, Yoram Louzoun, Sol Efroni.   

Abstract

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.
© 2011 The Authors. Immunology © 2011 Blackwell Publishing Ltd.

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Year:  2012        PMID: 22043864      PMCID: PMC3311040          DOI: 10.1111/j.1365-2567.2011.03527.x

Source DB:  PubMed          Journal:  Immunology        ISSN: 0019-2805            Impact factor:   7.397


  46 in total

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Review 9.  Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: report of the BIOMED-2 Concerted Action BMH4-CT98-3936.

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4.  A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing.

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5.  Automated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles.

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6.  The mutation patterns in B-cell immunoglobulin receptors reflect the influence of selection acting at multiple time-scales.

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Review 7.  Promise of personalized omics to precision medicine.

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Review 8.  Systems biology: personalized medicine for the future?

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9.  pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.

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10.  System-wide Analysis of the T Cell Response.

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