RESUMO
Although approximately 10,000 antibodies are available from commercial sources, antibody reagents are still unavailable for most proteins. Furthermore, new applications such as antibody arrays and monoclonal antibody therapeutics have increased the demand for more specific antibodies to reduce cross-reactivity and side effects. An array containing every protein for the relevant organism represents the ideal format for an assay to test antibody specificity, because it allows the simultaneous screening of thousands of proteins for possible cross-reactivity. As an initial test of this approach, we screened 11 polyclonal and monoclonal antibodies to approximately 5,000 different yeast proteins deposited on a glass slide and found that, in addition to recognizing their cognate proteins, the antibodies cross-reacted with other yeast proteins to varying degrees. Some of the interactions of the antibodies with noncognate proteins could be deduced by alignment of the primary amino acid sequences of the antigens and cross-reactive proteins; however, these interactions could not be predicted a priori. Our findings show that proteome array technology has potential to improve antibody design and selection for applications in both medicine and research.
Assuntos
Anticorpos/análise , Anticorpos/imunologia , Especificidade de Anticorpos/imunologia , Complexo Antígeno-Anticorpo/análise , Complexo Antígeno-Anticorpo/imunologia , Análise Serial de Proteínas/métodos , Mapeamento de Interação de Proteínas/métodos , Proteoma/imunologia , Anticorpos/química , Complexo Antígeno-Anticorpo/química , Proteínas Fúngicas/imunologia , Imunoensaio/instrumentação , Imunoensaio/métodos , Sondas Moleculares/química , Sondas Moleculares/imunologia , Análise Serial de Proteínas/instrumentação , Proteoma/química , Reprodutibilidade dos Testes , Sensibilidade e EspecificidadeRESUMO
The increased use of antibodies as therapeutics, as well as the growing demand for large numbers of antibodies for high-throughput protein analyses, has been accompanied by a need for more specific antibodies. An array containing every protein for the relevant organism represents the ideal format for an assay to test antibody specificity since it allows the simultaneous screening of thousands of proteins in relatively normalized quantities. Indeed, the use of a yeast proleome array to profile the specificity of several antibodies directed against yeast proteins has recently been described. In this chapter, we present a detailed description of the methods used to probe protein arrays with antibodies as well as the technical issues to consider when carrying out such experiments.
Assuntos
Especificidade de Anticorpos , Análise Serial de Proteínas , Anticorpos/metabolismo , Proteínas Fúngicas/análise , Humanos , Análise Serial de Proteínas/instrumentação , Análise Serial de Proteínas/métodos , Proteoma/análise , SoftwareRESUMO
Antibody cross-reactivity can compromise interpretation of experiments and derail therapeutic antibody development. Standard techniques such as immunohistochemistry or Western analysis provide important but often inadequate approaches to assess antibody specificity. Protein microarrays are providing a new approach to rapidly characterize antibody cross-reactivity against 1,000s of proteins simultaneously. This review will focus on reported examples of antibody cross-reactivity, methods used to characterize them, and the recent development and use of protein microarrays for assessing antibody specificity.
Assuntos
Reações Cruzadas , Análise Serial de Proteínas , Animais , Especificidade de Anticorpos , Western Blotting , Ensaio de Imunoadsorção Enzimática , Humanos , Imuno-HistoquímicaRESUMO
Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.