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

来源：

PLOS COMPUTATIONAL BIOLOGY | 2006年 / 2卷 / 07期

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

页码：651 / 662

页数：12

共 121 条

[1] The major human structural IgE epitope of the Brazil nut allergen Ber e 1: A chimaeric and protein microarray approach [J].

Alcocer, MJC ;

Murtagh, GJ ;

Wilson, PB ;

Progias, P ;

Lin, J ;

Archer, DB .

JOURNAL OF MOLECULAR BIOLOGY, 2004, 343 (03) :759-769

[2] A comparison of selected mRNA and protein abundances in human liver [J].

Anderson, L ;

Seilhamer, J .

ELECTROPHORESIS, 1997, 18 (3-4) :533-537

[3] Toward optimized antibody microarrays:: a comparison of current microarray support materials [J].

Angenendt, P ;

Glökler, J ;

Murphy, D ;

Lehrach, H ;

Cahill, DJ .

ANALYTICAL BIOCHEMISTRY, 2002, 309 (02) :253-260

[4] T-regulatory cells: are we re-discovering T suppressors? [J].

Athanassakis, I ;

Vassiliadis, S .

IMMUNOLOGY LETTERS, 2002, 84 (03) :179-183

[5] Multiplexed protein array platforms for analysis of autoimmune diseases [J].

Balboni, Imelda ;

Chan, Steven M. ;

Kattah, Michael ;

Tenenbaum, Jessica D. ;

Butte, Atul J. ;

Utz, Paul J. .

ANNUAL REVIEW OF IMMUNOLOGY, 2006, 24 :391-418

[6] Comparative application of antibody and gene array for expression profiling in human squamous cell lung carcinoma [J].

Bartling, B ;

Hofmann, HS ;

Boettger, T ;

Hansen, G ;

Burdach, S ;

Silber, RE ;

Simm, A .

LUNG CANCER, 2005, 49 (02) :145-154

[7] Screening microarrays of novel monoclonal antibodies for binding to T-, B- and myeloid leukaemia cells [J].

Belov, L ;

Huang, P ;

Chrisp, JS ;

Mulligan, SP ;

Christopherson, RI .

JOURNAL OF IMMUNOLOGICAL METHODS, 2005, 305 (01) :10-19

[8]

Benson DA, 2003, NUCLEIC ACIDS RES, V31, P23, DOI 10.1093/nar/gkg057

[9] The use of bioinformatics for identifying class II-restricted T-cell epitopes [J].

Bian, HJ ;

Reidhaar-Olson, JF ;

Hammer, J .

METHODS, 2003, 29 (03) :299-309

[10] Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE [J].

Bian, HJ ;

Hammer, J .

METHODS, 2004, 34 (04) :468-475

← 1 2 3 4 5 6 7 8 9 10 →