Identifying cytotoxic T cell epitopes from genomic and proteomic information: "The human MHC project."
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Standard
Identifying cytotoxic T cell epitopes from genomic and proteomic information: "The human MHC project.". / Lauemøller, S L; Kesmir, C; Corbet, S L; Fomsgaard, A; Holm, Arne; Claesson, M H; Brunak, S; Buus, S.
I: Reviews in Immunogenetics, Bind 2, Nr. 4, 2000, s. 477-91.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Identifying cytotoxic T cell epitopes from genomic and proteomic information: "The human MHC project."
AU - Lauemøller, S L
AU - Kesmir, C
AU - Corbet, S L
AU - Fomsgaard, A
AU - Holm, Arne
AU - Claesson, M H
AU - Brunak, S
AU - Buus, S
N1 - Keywords: Antigen Presentation; Epitopes; Genome; Histocompatibility Antigens Class I; Humans; Immunogenetics; Major Histocompatibility Complex; Models, Molecular; Neural Networks (Computer); Peptide Library; Polymorphism, Genetic; Protein Binding; Proteome; T-Lymphocytes, Cytotoxic; T-Lymphocytes, Helper-Inducer; Vaccines
PY - 2000
Y1 - 2000
N2 - Complete genomes of many species including pathogenic microorganisms are rapidly becoming available and with them the encoded proteins, or proteomes. Proteomes are extremely diverse and constitute unique imprints of the originating organisms allowing positive identification and accurate discrimination, even at the peptide level. It is not surprising that peptides are key targets of the immune system. It follows that proteomes can be translated into immunogens once it is known how the immune system generates and handles peptides. Recent advances have identified many of the basic principles involved. The single most selective event is that of peptide binding to MHC, making it particularly important to establish accurate descriptions and predictions of peptide binding for the most common MHC variants. These predictions should be integrated with those of other steps involved in antigen processing, as these become available. The ability to translate the accumulating primary sequence databases in terms of immune recognition should enable scientists and clinicians to analyze any protein of interest for the presence of potentially immunogenic epitopes. The computational tools to scan entire proteomes should also be developed, as this would enable a rational approach to vaccine development and immunotherapy. Thus, candidate vaccine epitopes might be predicted from the various microbial genome projects, tumor vaccine candidates from mRNA expression profiling of tumors ("transcriptomes") and auto-antigens from the human genome.
AB - Complete genomes of many species including pathogenic microorganisms are rapidly becoming available and with them the encoded proteins, or proteomes. Proteomes are extremely diverse and constitute unique imprints of the originating organisms allowing positive identification and accurate discrimination, even at the peptide level. It is not surprising that peptides are key targets of the immune system. It follows that proteomes can be translated into immunogens once it is known how the immune system generates and handles peptides. Recent advances have identified many of the basic principles involved. The single most selective event is that of peptide binding to MHC, making it particularly important to establish accurate descriptions and predictions of peptide binding for the most common MHC variants. These predictions should be integrated with those of other steps involved in antigen processing, as these become available. The ability to translate the accumulating primary sequence databases in terms of immune recognition should enable scientists and clinicians to analyze any protein of interest for the presence of potentially immunogenic epitopes. The computational tools to scan entire proteomes should also be developed, as this would enable a rational approach to vaccine development and immunotherapy. Thus, candidate vaccine epitopes might be predicted from the various microbial genome projects, tumor vaccine candidates from mRNA expression profiling of tumors ("transcriptomes") and auto-antigens from the human genome.
M3 - Journal article
C2 - 12361091
VL - 2
SP - 477
EP - 491
JO - Reviews in Immunogenetics
JF - Reviews in Immunogenetics
SN - 1398-1714
IS - 4
ER -
ID: 9747383