The promise and challenge of high-throughput sequencing of the antibody repertoire

被引:497
作者
Georgiou, George [1 ,2 ,3 ,4 ]
Ippolito, Gregory C. [3 ,4 ]
Beausang, John [5 ,6 ]
Busse, Christian E. [7 ]
Wardemann, Hedda [7 ]
Quake, Stephen R. [5 ,6 ,8 ,9 ]
机构
[1] Univ Texas Austin, Dept Chem Engn, Austin, TX 78712 USA
[2] Univ Texas Austin, Dept Biomed Engn, Austin, TX 78712 USA
[3] Univ Texas Austin, Dept Mol Biosci, Austin, TX 78712 USA
[4] Univ Texas Austin, Inst Cell & Mol Biol, Austin, TX 78712 USA
[5] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[6] Stanford Univ, Howard Hughes Med Inst, Stanford, CA 94305 USA
[7] Max Planck Inst Infect Biol, Berlin, Germany
[8] Stanford Univ, Biophys Grad Program, Stanford, CA 94305 USA
[9] Stanford Univ, Dept Appl Phys, Stanford, CA 94305 USA
基金
美国国家卫生研究院;
关键词
MEMORY B-CELLS; HUMAN-IMMUNOGLOBULIN HEAVY; HUMAN MONOCLONAL-ANTIBODIES; MINIMAL RESIDUAL DISEASE; NEUTRALIZING ANTIBODIES; GENE REPERTOIRE; V-H; HIV-1-NEUTRALIZING ANTIBODIES; SOMATIC HYPERMUTATION; SELF-REACTIVITY;
D O I
10.1038/nbt.2782
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 [微生物学]; 090105 [作物生产系统与生态工程];
摘要
Efforts to determine the antibody repertoire encoded by B cells in the blood or lymphoid organs using high-throughput DNA sequencing technologies have been advancing at an extremely rapid pace and are transforming our understanding of humoral immune responses. Information gained from high-throughput DNA sequencing of immunoglobulin genes (Ig-seq) can be applied to detect B-cell malignancies with high sensitivity, to discover antibodies specific for antigens of interest, to guide vaccine development and to understand autoimmunity. Rapid progress in the development of experimental protocols and informatics analysis tools is helping to reduce sequencing artifacts, to achieve more precise quantification of clonal diversity and to extract the most pertinent biological information. That said, broader application of Ig-seq, especially in clinical settings, will require the development of a standardized experimental design framework that will enable the sharing and meta-analysis of sequencing data generated by different laboratories.
引用
收藏
页码:158 / 168
页数:11
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