Functional protein microarray as molecular decathlete: A versatile player in clinical proteomics
Identifieur interne : 001E85 ( Main/Exploration ); précédent : 001E84; suivant : 001E86Functional protein microarray as molecular decathlete: A versatile player in clinical proteomics
Auteurs : Heng Zhu [États-Unis] ; Eric Cox [États-Unis] ; Jiang Qian [États-Unis]Source :
- PROTEOMICS – Clinical Applications [ 1862-8346 ] ; 2012-12.
English descriptors
- Teeft :
- Adenine motif, Antibody, Antibody microarrays, Antibody screening, Appl, Array, Assay, Autoantibody, Autoantibody biomarkers, Autoantibody levels, Autoantigens, Autoimmune, Autoimmune diseases, Autoimmune hepatitis, Benign breast disease, Bglf4, Biol, Biomarker, Biomarker interactions, Biomarkers, Bladder, Bladder cancer, Bowel disease, Breast cancer, Brome mosaic virus, Cancer biology, Cancer biomarkers, Cancer cell lysates, Cancer cells, Candidate biomarkers, Candidate proteins, Capillary electrophoresis, Clin, Clinical diagnosis, Clinical proteomics, Clinical trials, Coli, Coli lysates, Coli proteins, Control serum samples, Damage response, Early detection, Elisabased assays, Functional protein microarray, Functional protein microarrays, Gene expression, Global analysis, Glycan, Gmbh, Healthy controls, Healthy subjects, Herpesvirus, Herpesvirus family, High content, High cost, Host telomeres, Human arrays, Human factors, Human herpesviruses, Human ligands, Human protein microarray, Human protein microarrays, Human proteins, Human proteome microarray, Human proteome microarrays, Human virus type, Humoral, Ideal platform, Important players, Johns hopkins university school, Kgaa, Kinase, Kshv, Lectin, Lectin microarray, Lectin microarray technology, Lectin microarrays, Lysates, Lysine residues, Lytic, Lytic replication, Master regulator, Microarray, Microarrays, Molecular mechanisms, Monoclonal antibodies, Mtor pathway suppression, Novel biomarkers, Nucleic acids, Other hand, Other viruses, Pathogen, Pathway, Patient samples, Phase protein microarray, Phase protein microarrays, Phosphorylation, Positive signals, Potential biomarkers, Potential drug targets, Previous studies, Primary biliary cirrhosis, Protein, Protein array, Protein arrays, Protein function, Protein kinases, Protein microarray, Protein microarray approach, Protein microarray studies, Protein microarray technology, Protein microarrays, Protein nodes, Proteins serum autoantibodies, Proteome, Proteome microarray, Proteome microarrays, Proteomics, Proteomics clin, Pseudouridine synthase, Recent years, Replication, Replication protein, Saccharomyces cerevisiae, Sars, Sars coronavirus, Serum antibodies, Serum assays, Serum samples, Small arrays, Small cohort, Small number, Standard chemotherapy regimens, Statistical analysis, Sumo, Sumo interaction motif, Target proteins, Telomere, Tremendous growth, Tumor antigens, Tumor cells, Ulcerative colitis, Validation step, Various types, Verlag, Verlag gmbh, Versatile platform, Viral, Viral proteome microarray, Virus protein kinase bglf4, Weinheim, Weinheim proteomics clin, Yeast, Yeast proteome microarray.
Abstract
Functional protein microarrays were developed as a high‐throughput tool to overcome the limitations of DNA microarrays and to provide a versatile platform for protein functional analyses. Recent years have witnessed tremendous growth in the use of protein microarrays, particularly functional protein microarrays, to address important questions in the field of clinical proteomics. In this review, we will summarize some of the most innovative and exciting recent applications of protein microarrays in clinical proteomics, including biomarker identification, pathogen–host interactions, and cancer biology.
Url:
DOI: 10.1002/prca.201200041
Affiliations:
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<term>Antibody microarrays</term>
<term>Antibody screening</term>
<term>Appl</term>
<term>Array</term>
<term>Assay</term>
<term>Autoantibody</term>
<term>Autoantibody biomarkers</term>
<term>Autoantibody levels</term>
<term>Autoantigens</term>
<term>Autoimmune</term>
<term>Autoimmune diseases</term>
<term>Autoimmune hepatitis</term>
<term>Benign breast disease</term>
<term>Bglf4</term>
<term>Biol</term>
<term>Biomarker</term>
<term>Biomarker interactions</term>
<term>Biomarkers</term>
<term>Bladder</term>
<term>Bladder cancer</term>
<term>Bowel disease</term>
<term>Breast cancer</term>
<term>Brome mosaic virus</term>
<term>Cancer biology</term>
<term>Cancer biomarkers</term>
<term>Cancer cell lysates</term>
<term>Cancer cells</term>
<term>Candidate biomarkers</term>
<term>Candidate proteins</term>
<term>Capillary electrophoresis</term>
<term>Clin</term>
<term>Clinical diagnosis</term>
<term>Clinical proteomics</term>
<term>Clinical trials</term>
<term>Coli</term>
<term>Coli lysates</term>
<term>Coli proteins</term>
<term>Control serum samples</term>
<term>Damage response</term>
<term>Early detection</term>
<term>Elisabased assays</term>
<term>Functional protein microarray</term>
<term>Functional protein microarrays</term>
<term>Gene expression</term>
<term>Global analysis</term>
<term>Glycan</term>
<term>Gmbh</term>
<term>Healthy controls</term>
<term>Healthy subjects</term>
<term>Herpesvirus</term>
<term>Herpesvirus family</term>
<term>High content</term>
<term>High cost</term>
<term>Host telomeres</term>
<term>Human arrays</term>
<term>Human factors</term>
<term>Human herpesviruses</term>
<term>Human ligands</term>
<term>Human protein microarray</term>
<term>Human protein microarrays</term>
<term>Human proteins</term>
<term>Human proteome microarray</term>
<term>Human proteome microarrays</term>
<term>Human virus type</term>
<term>Humoral</term>
<term>Ideal platform</term>
<term>Important players</term>
<term>Johns hopkins university school</term>
<term>Kgaa</term>
<term>Kinase</term>
<term>Kshv</term>
<term>Lectin</term>
<term>Lectin microarray</term>
<term>Lectin microarray technology</term>
<term>Lectin microarrays</term>
<term>Lysates</term>
<term>Lysine residues</term>
<term>Lytic</term>
<term>Lytic replication</term>
<term>Master regulator</term>
<term>Microarray</term>
<term>Microarrays</term>
<term>Molecular mechanisms</term>
<term>Monoclonal antibodies</term>
<term>Mtor pathway suppression</term>
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<term>Other viruses</term>
<term>Pathogen</term>
<term>Pathway</term>
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<term>Phase protein microarray</term>
<term>Phase protein microarrays</term>
<term>Phosphorylation</term>
<term>Positive signals</term>
<term>Potential biomarkers</term>
<term>Potential drug targets</term>
<term>Previous studies</term>
<term>Primary biliary cirrhosis</term>
<term>Protein</term>
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<term>Protein arrays</term>
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<term>Protein kinases</term>
<term>Protein microarray</term>
<term>Protein microarray approach</term>
<term>Protein microarray studies</term>
<term>Protein microarray technology</term>
<term>Protein microarrays</term>
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<term>Proteins serum autoantibodies</term>
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<term>Proteome microarray</term>
<term>Proteome microarrays</term>
<term>Proteomics</term>
<term>Proteomics clin</term>
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<term>Replication</term>
<term>Replication protein</term>
<term>Saccharomyces cerevisiae</term>
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<term>Sars coronavirus</term>
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<term>Serum assays</term>
<term>Serum samples</term>
<term>Small arrays</term>
<term>Small cohort</term>
<term>Small number</term>
<term>Standard chemotherapy regimens</term>
<term>Statistical analysis</term>
<term>Sumo</term>
<term>Sumo interaction motif</term>
<term>Target proteins</term>
<term>Telomere</term>
<term>Tremendous growth</term>
<term>Tumor antigens</term>
<term>Tumor cells</term>
<term>Ulcerative colitis</term>
<term>Validation step</term>
<term>Various types</term>
<term>Verlag</term>
<term>Verlag gmbh</term>
<term>Versatile platform</term>
<term>Viral</term>
<term>Viral proteome microarray</term>
<term>Virus protein kinase bglf4</term>
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<term>Weinheim proteomics clin</term>
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<front><div type="abstract">Functional protein microarrays were developed as a high‐throughput tool to overcome the limitations of DNA microarrays and to provide a versatile platform for protein functional analyses. Recent years have witnessed tremendous growth in the use of protein microarrays, particularly functional protein microarrays, to address important questions in the field of clinical proteomics. In this review, we will summarize some of the most innovative and exciting recent applications of protein microarrays in clinical proteomics, including biomarker identification, pathogen–host interactions, and cancer biology.</div>
</front>
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<name sortKey="Cox, Eric" sort="Cox, Eric" uniqKey="Cox E" first="Eric" last="Cox">Eric Cox</name>
<name sortKey="Cox, Eric" sort="Cox, Eric" uniqKey="Cox E" first="Eric" last="Cox">Eric Cox</name>
<name sortKey="Cox, Eric" sort="Cox, Eric" uniqKey="Cox E" first="Eric" last="Cox">Eric Cox</name>
<name sortKey="Qian, Jiang" sort="Qian, Jiang" uniqKey="Qian J" first="Jiang" last="Qian">Jiang Qian</name>
<name sortKey="Qian, Jiang" sort="Qian, Jiang" uniqKey="Qian J" first="Jiang" last="Qian">Jiang Qian</name>
<name sortKey="Zhu, Heng" sort="Zhu, Heng" uniqKey="Zhu H" first="Heng" last="Zhu">Heng Zhu</name>
<name sortKey="Zhu, Heng" sort="Zhu, Heng" uniqKey="Zhu H" first="Heng" last="Zhu">Heng Zhu</name>
<name sortKey="Zhu, Heng" sort="Zhu, Heng" uniqKey="Zhu H" first="Heng" last="Zhu">Heng Zhu</name>
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