From functional genomics to functional immunomics: New challenges, old problems, big rewards

被引:51
作者
Braga-Neto, Ulisses M. [1 ]
Marques, Ernesto T. A., Jr.
机构
[1] Fiocruz MS, Virol & Expt Therapy Lab, Aggeu Magalhaes Res Ctr, CPqAM, Recife, PE, Brazil
[2] Johns Hopkins Univ, Sch Med, Dept Med, Div Infect Dis, Baltimore, MD USA
[3] Johns Hopkins Univ, Sch Med, Dept Pharmacol & Mol Sci, Baltimore, MD USA
关键词
D O I
10.1371/journal.pcbi.0020081
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The development of DNA microarray technology a decade ago led to the establishment of functional genomics as one of the most active and successful scientific disciplines today. With the ongoing development of immunomic microarray technology-a spatially addressable, large-scale technology for measurement of specific immunological response-the new challenge of functional immunomics is emerging, which bears similarities to but is also significantly different from functional genomics. Immunonic data has been successfully used to identify biological markers involved in autoimmune diseases, allergies, viral infections such as human immunodefficiency virus (HIV), influenza, diabetes, and responses to cancer vaccines. This review intends to provide a coherent vision of this nascent scientific field, and speculate on future research directions. We discuss at some length issues such as epitope prediction, immunomic microarray technology and its applications, and computation and statistical challenges related to functional immunomics. Based on the recent discovery of regulation mechanisms in T cell responses, we envision the use of immunomic microarrays as a tool for advances in systems biology of cellular immune responses, by means of immunomic regulatory network models.
引用
收藏
页码:651 / 662
页数:12
相关论文
共 121 条
[81]   A comparability study of the emerging protein array platforms with established ELISA procedures [J].
Pang, S ;
Smith, J ;
Onley, D ;
Reeve, J ;
Walker, M ;
Foy, C .
JOURNAL OF IMMUNOLOGICAL METHODS, 2005, 302 (1-2) :1-12
[82]   Microarray of recombinant antibodies using a streptavidin sensor surface self-assembled onto a gold layer [J].
Pavlickova, P ;
Knappik, A ;
Kambhampati, D ;
Ortigao, F ;
Hug, H .
BIOTECHNIQUES, 2003, 34 (01) :124-130
[83]   The immune epitope database and analysis resource: From vision to blueprint [J].
Peters, B ;
Sidney, J ;
Bourne, P ;
Bui, HH ;
Buus, S ;
Doh, G ;
Fleri, W ;
Kronenberg, M ;
Kubo, R ;
Lund, O ;
Nemazee, D ;
Ponomarenko, JV ;
Sathiamurthy, M ;
Schoenberger, S ;
Stewart, S ;
Surko, P ;
Way, S ;
Wilson, S ;
Sette, A .
PLOS BIOLOGY, 2005, 3 (03) :379-381
[84]   The design and implementation of the immune epitope database and analysis resource [J].
Peters, B ;
Sidney, J ;
Bourne, P ;
Bui, HH ;
Buus, S ;
Doh, G ;
Fleri, W ;
Kronenberg, M ;
Kubo, R ;
Lund, O ;
Nemazee, D ;
Ponomarenko, JV ;
Sathiamurthy, M ;
Schoenberger, SP ;
Stewart, S ;
Surko, P ;
Way, S ;
Wilson, S ;
Sette, A .
IMMUNOGENETICS, 2005, 57 (05) :326-336
[85]   Examining the independent binding assumption for binding of peptide epitopes to MHC-1 molecules [J].
Peters, B ;
Tong, WW ;
Sidney, J ;
Sette, A ;
Weng, ZP .
BIOINFORMATICS, 2003, 19 (14) :1765-1772
[86]   A community resource benchmarking predictions of peptide binding to MHC-I molecules [J].
Peters, Bjoern ;
Bui, Huynh-Hoa ;
Frankild, Sune ;
Nielsen, Morten ;
Lundegaard, Claus ;
Kostem, Emrah ;
Basch, Derek ;
Lamberth, Kasper ;
Harndahl, Mikkel ;
Fleri, Ward ;
Wilson, Stephen S. ;
Sidney, John ;
Lund, Ole ;
Buus, Soren ;
Sette, Alessandro .
PLOS COMPUTATIONAL BIOLOGY, 2006, 2 (06) :574-584
[87]  
Petrovsky Nikolai, 2003, Novartis Found Symp, V254, P23
[88]  
Popper K. R., 1959, LOGIC SCI DISCOVERY
[89]   Functional immunomics: Microarray analysis of IgG autoantibody repertoires predicts the future response of mice to induce diabetes [J].
Quintana, FJ ;
Hagedorn, PH ;
Elizur, G ;
Merbl, Y ;
Domany, E ;
Cohen, IR .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 :14615-14621
[90]   Cluster analysis of human autoantibody reactivities in health and in type 1 diabetes mellitus: a bio-informatic approach to immune complexity [J].
Quintana, FJ ;
Getz, G ;
Hed, G ;
Domany, E ;
Cohen, IR .
JOURNAL OF AUTOIMMUNITY, 2003, 21 (01) :65-75