The Pipeline Repertoire for Ig-Seq Analysis

被引:23
作者
Lopez-Santibanez-Jacome, Laura [1 ,2 ]
Erendira Avendano-Vazquez, S. [1 ]
Fabian Flores-Jasso, Carlos [1 ]
机构
[1] Inst Nacl Med Genom, Consorcio Metab RNA, Mexico City, DF, Mexico
[2] Inst Tecnol Autonomo Mexico, Ciencia Datos, Mexico City, DF, Mexico
关键词
Ig-Seq; antibody repertoire; pipeline; V(D)J alignment; pre-processing; B-CELL REPERTOIRE; IMMUNOGLOBULIN HEAVY; RECEPTOR REPERTOIRES; IMGT/V-QUEST; V-J; REVEALS; VACCINATION; DIVERSITY; RESPONSES; SOFTWARE;
D O I
10.3389/fimmu.2019.00899
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
With the advent of high-throughput sequencing of immunoglobulin genes (Ig-Seq), the understanding of antibody repertoires and their dynamics among individuals and populations has become an exciting area of research. There is an increasing number of computational tools that aid in every step of the immune repertoire characterization. However, since not all tools function identically, every pipeline has its unique rationale and capabilities, creating a rich blend of useful features that may appear intimidating for newcomer laboratories with the desire to plunge into immune repertoire analysis to expand and improve their research; hence, all pipeline strengths and differences may not seem evident. In this review we provide a practical and organized list of the current set of computational tools, focusing on their most attractive features and differences in order to carry out the characterization of antibody repertoires so that the reader better decides a strategic approach for the experimental design, and computational pathways for the analyses of immune repertoires.
引用
收藏
页数:15
相关论文
共 93 条
[1]  
[Anonymous], 2012, Immunome Res, DOI DOI 10.4172/1745-7580.1000056
[2]   Capturing needles in haystacks: a comparison of B-cell receptor sequencing methods [J].
Bashford-Rogers, Rachael J. M. ;
Palser, Anne L. ;
Idris, Saad F. ;
Carter, Lisa ;
Epstein, Michael ;
Callard, Robin E. ;
Douek, Daniel C. ;
Vassiliou, George S. ;
Follows, George A. ;
Hubank, Mike ;
Kellam, Paul .
BMC IMMUNOLOGY, 2014, 15
[3]   Network properties derived from deep sequencing of human B-cell receptor repertoires delineate B-cell populations [J].
Bashford-Rogers, Rachael J. M. ;
Palser, Anne L. ;
Huntly, Brian J. ;
Rance, Richard ;
Vassiliou, George S. ;
Follows, George A. ;
Kellam, Paul .
GENOME RESEARCH, 2013, 23 (11) :1874-1884
[4]   Rep-Seq: uncovering the immunological repertoire through next-generation sequencing [J].
Benichou, Jennifer ;
Ben-Hamo, Rotem ;
Louzoun, Yoram ;
Efroni, Sol .
IMMUNOLOGY, 2012, 135 (03) :183-191
[5]   The Repertoire Dissimilarity Index as a method to compare lymphocyte receptor repertoires [J].
Bolen, Christopher R. ;
Rubelt, Florian ;
Vander Heiden, Jason A. ;
Davis, Mark M. .
BMC BIOINFORMATICS, 2017, 18
[6]   MiXCR: software for comprehensive adaptive immunity profiling [J].
Bolotin, Dmitriy A. ;
Poslavsky, Stanislav ;
Mitrophanov, Igor ;
Shugay, Mikhail ;
Mamedov, Ilgar Z. ;
Putintseva, Ekaterina V. ;
Chudakov, Dmitriy M. .
NATURE METHODS, 2015, 12 (05) :380-381
[7]   IMGT/V-QUEST: the highly customized and integrated system for IG and TR standardized V-J and V-D-J sequence analysis [J].
Brochet, Xavier ;
Lefranc, Marie-Paule ;
Giudicelli, Veronique .
NUCLEIC ACIDS RESEARCH, 2008, 36 :W503-W508
[8]   Single-cell based high-throughput sequencing of full-length immunoglobulin heavy and light chain genes [J].
Busse, Christian E. ;
Czogiel, Irina ;
Braun, Peter ;
Arndt, Peter F. ;
Wardemann, Hedda .
EUROPEAN JOURNAL OF IMMUNOLOGY, 2014, 44 (02) :597-603
[9]  
CHAO A, 1984, SCAND J STAT, V11, P265
[10]   Unveiling the species-rank abundance distribution by generalizing the Good- Turing sample coverage theory [J].
Chao, Anne ;
Hsieh, T. C. ;
Chazdon, Robin L. ;
Colwell, Robert K. ;
Gotelli, Nicholas J. .
ECOLOGY, 2015, 96 (05) :1189-1201