Quantifying antibody binding on protein microarrays using microarray nonlinear calibration
We present a microarray nonlinear calibration (MiNC) method for quantifying antibody binding to the surface of protein microarrays that significantly increases the linear dynamic range and reduces assay variation compared with traditional approaches. A serological analysis of guinea pig Mycobacteriu...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2013-05-01
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| Series: | BioTechniques |
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| Online Access: | https://www.future-science.com/doi/10.2144/000114028 |
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| author | Xiaobo Yu Garrick Wallstrom Dewey Mitchell Magee Ji Qiu D. Eliseo A. Mendoza Jie Wang Xiaofang Bian Morgan Graves Joshua LaBaer |
| author_facet | Xiaobo Yu Garrick Wallstrom Dewey Mitchell Magee Ji Qiu D. Eliseo A. Mendoza Jie Wang Xiaofang Bian Morgan Graves Joshua LaBaer |
| author_sort | Xiaobo Yu |
| collection | DOAJ |
| description | We present a microarray nonlinear calibration (MiNC) method for quantifying antibody binding to the surface of protein microarrays that significantly increases the linear dynamic range and reduces assay variation compared with traditional approaches. A serological analysis of guinea pig Mycobacterium tuberculosis models showed that a larger number of putative antigen targets were identified with MiNC, which is consistent with the improved assay performance of protein microarrays. MiNC has the potential to be employed in biomedical research using multiplex antibody assays that need quantitation, including the discovery of antibody biomarkers, clinical diagnostics with multi-antibody signatures, and construction of immune mathematical models. |
| format | Article |
| id | doaj-art-a3953415c7a04f4d8a725e432d431a4e |
| institution | OA Journals |
| issn | 0736-6205 1940-9818 |
| language | English |
| publishDate | 2013-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | BioTechniques |
| spelling | doaj-art-a3953415c7a04f4d8a725e432d431a4e2025-08-20T02:26:03ZengTaylor & Francis GroupBioTechniques0736-62051940-98182013-05-0154525726410.2144/000114028Quantifying antibody binding on protein microarrays using microarray nonlinear calibrationXiaobo Yu0Garrick Wallstrom1Dewey Mitchell Magee2Ji Qiu3D. Eliseo A. Mendoza4Jie Wang5Xiaofang Bian6Morgan Graves7Joshua LaBaer81Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, ArizonaWe present a microarray nonlinear calibration (MiNC) method for quantifying antibody binding to the surface of protein microarrays that significantly increases the linear dynamic range and reduces assay variation compared with traditional approaches. A serological analysis of guinea pig Mycobacterium tuberculosis models showed that a larger number of putative antigen targets were identified with MiNC, which is consistent with the improved assay performance of protein microarrays. MiNC has the potential to be employed in biomedical research using multiplex antibody assays that need quantitation, including the discovery of antibody biomarkers, clinical diagnostics with multi-antibody signatures, and construction of immune mathematical models.https://www.future-science.com/doi/10.2144/000114028microarray nonlinear calibrationnucleic acid programmable protein arraysnn vitro transcription/translationtuberculosis |
| spellingShingle | Xiaobo Yu Garrick Wallstrom Dewey Mitchell Magee Ji Qiu D. Eliseo A. Mendoza Jie Wang Xiaofang Bian Morgan Graves Joshua LaBaer Quantifying antibody binding on protein microarrays using microarray nonlinear calibration BioTechniques microarray nonlinear calibration nucleic acid programmable protein arrays nn vitro transcription/translation tuberculosis |
| title | Quantifying antibody binding on protein microarrays using microarray nonlinear calibration |
| title_full | Quantifying antibody binding on protein microarrays using microarray nonlinear calibration |
| title_fullStr | Quantifying antibody binding on protein microarrays using microarray nonlinear calibration |
| title_full_unstemmed | Quantifying antibody binding on protein microarrays using microarray nonlinear calibration |
| title_short | Quantifying antibody binding on protein microarrays using microarray nonlinear calibration |
| title_sort | quantifying antibody binding on protein microarrays using microarray nonlinear calibration |
| topic | microarray nonlinear calibration nucleic acid programmable protein arrays nn vitro transcription/translation tuberculosis |
| url | https://www.future-science.com/doi/10.2144/000114028 |
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