1
|
Xu W, Chen H, Li Y, Cheng H, Deng Y, Zheng P, Li J, Yang L, He S, Ma D, Zhu Q, Gu D, Han J, Sun B, Ma H. Removing Negative Impacts from Inevitable Nonreproducible and Nonspecific Antibody-Probe Interactions in Viral Serology. Anal Chem 2023; 95:1867-1879. [PMID: 36606691 DOI: 10.1021/acs.analchem.2c03637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Serological assays are indispensable tools in public health. Presently deployed serological assays, however, largely overlook research progress made in the last two decades that jeopardizes the conceptual foundation of these assays, i.e., antibody (Ab) specificity. Challenges to traditional understanding of Ab specificity include Ab polyspecificity and most recently nonreproducible Ab-probe interactions (NRIs). Here, using SARS-CoV-2 and four common livestock viruses as a test bed, we developed a new serological platform that integrates recent understanding about Ab specificity. We first demonstrate that the response rate (RR) from a large-sized serum pool (∼100) is not affected by NRIs or by nonspecific Ab-probe interactions (NSIs), so RR can be incorporated into the diagnostic probe selection process. We subsequently used multiple probes (configured as a "protein peptide hybrid microarray", PPHM) to generate a digital microarray index (DMI) and finally demonstrated that DMI-based analysis yields an extremely robust probabilistic trend that enables accurate diagnosis of viral infection that overcomes multiple negative impacts exerted by NSI/NRI. Thus, our study with SARS-CoV-2 confirms that the PPHM-RR-DMI platform enables very rapid development of serological assays that outperform traditional assays (for both sensitivity and specificity) and supports that the platform is extendable to other viruses.
Collapse
Affiliation(s)
- Wenwen Xu
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Hao Chen
- Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
- Department of Allergy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yiting Li
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Hu Cheng
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
- Nano Science and Technology Institute, University of science and technology of China, Suzhou 215123, China
| | - Yi Deng
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
- Nano Science and Technology Institute, University of science and technology of China, Suzhou 215123, China
| | - Peiyan Zheng
- Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Jingzhi Li
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Lan Yang
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Shiping He
- Department of Laboratory Medicine, Shenzhen Institute of Translational Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen 518035, China
| | - Dongli Ma
- Shenzhen Engineering Laboratory for High-throughput Gene Sequencing of Pathogens, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Qiang Zhu
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Dayong Gu
- Department of Laboratory Medicine, Shenzhen Institute of Translational Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen 518035, China
| | - Jun Han
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Baoqing Sun
- Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Hongwei Ma
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| |
Collapse
|
2
|
Vengesai A, Kasambala M, Mutandadzi H, Mduluza-Jokonya TL, Mduluza T, Naicker T. Scoping review of the applications of peptide microarrays on the fight against human infections. PLoS One 2022; 17:e0248666. [PMID: 35077448 PMCID: PMC8789108 DOI: 10.1371/journal.pone.0248666] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 01/11/2022] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION This scoping review explores the use of peptide microarrays in the fight against infectious diseases. The research domains explored included the use of peptide microarrays in the mapping of linear B-cell and T cell epitopes, antimicrobial peptide discovery, immunosignature characterisation and disease immunodiagnostics. This review also provides a short overview of peptide microarray synthesis. METHODS Electronic databases were systematically searched to identify relevant studies. The review was conducted using the Joanna Briggs Institute methodology for scoping reviews and data charting was performed using a predefined form. The results were reported by narrative synthesis in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. RESULTS Ninety-five articles from 103 studies were included in the final data charting process. The majority (92. 0%) of the articles were published during 2010-2020 and were mostly from Europe (44.2%) and North America (34.7%). The findings were from the investigation of viral (45.6%), bacterial (32. 0%), parasitic (23.3%) and fungal (2. 0%) infections. Out of the serological studies, IgG was the most reported antibody type followed by IgM. The largest portion of the studies (77.7%) were related to mapping B-cell linear epitopes, 5.8% were on diagnostics, 5.8% reported on immunosignature characterisation and 8.7% reported on viral and bacterial cell binding assays. Two studies reported on T-cell epitope profiling. CONCLUSION The most important application of peptide microarrays was found to be B-cell epitope mapping or antibody profiling to identify diagnostic and vaccine targets. Immunosignatures identified by random peptide microarrays were found to be applied in the diagnosis of infections and interrogation of vaccine responses. The analysis of the interactions of random peptide microarrays with bacterial and viral cells using binding assays enabled the identification of antimicrobial peptides. Peptide microarray arrays were also used for T-cell linear epitope mapping which may provide more information for the design of peptide-based vaccines and for the development of diagnostic reagents.
Collapse
Affiliation(s)
- Arthur Vengesai
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
- Department of Biochemistry, Faculty of Medicine, Midlands State University, Gweru, Zimbabwe
| | - Maritha Kasambala
- Department of Biology, Faculty of Science and Agriculture, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Hamlet Mutandadzi
- Faculty of Medicine and Health Sciences, Parirenyatwa Hospital, University of Zimbabwe, Harare, Zimbabwe
| | - Tariro L. Mduluza-Jokonya
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Takafira Mduluza
- Department of Biochemistry, Faculty of Medicine, Midlands State University, Gweru, Zimbabwe
| | - Thajasvarie Naicker
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| |
Collapse
|
3
|
Pan J, Yang L, Wu W, Li J, Cheng H, Li Y, Xu W, Xue Q, Zhou Y, Peng D, Qiu J, Ma H. Previously Unrecognized Nonreproducible Antibody-Probe Interactions. Anal Chem 2022; 94:1974-1982. [PMID: 35044162 DOI: 10.1021/acs.analchem.1c03264] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Antibody-antigen (Ab-Ag) interactions are canonically described by a model that exclusively accommodates noninteraction (0) or reproducible interaction (RI) states, yet this model is inadequate to explain often-encountered nonreproducible signals. Here, by monitoring diverse experimental systems using a peptide-protein hybrid microarray, we observed that Ab-probe interactions comprise a substantial proportion of nonreproducible antibody-based results. This enabled our discovery and capacity to reliably identify nonreproducible Ab-probe interactions (NRIs), as well as our development of a powerful explanatory model ("0-NRI-RI-Hook four-state model") that is mAb concentration-dependent, regardless of specificity, which ultimately shows that both nonspecific interactions and NRIs are not predictable yet certain to happen. Our discoveries challenge the centrality of Ab-Ag interaction specificity data in serology and immunology.
Collapse
Affiliation(s)
- Jiaojiao Pan
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.,Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China
| | - Lan Yang
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Wenya Wu
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.,Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China
| | - Jingzhi Li
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Hu Cheng
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.,Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China
| | - Yiting Li
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Wenwen Xu
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Qinghong Xue
- China Institute of Veterinary Drug Control, Beijing 100081, China
| | - Youxin Zhou
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Daxin Peng
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Jiwan Qiu
- Qyuns Therapeutics, Taizhou 225316, China
| | - Hongwei Ma
- Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| |
Collapse
|
4
|
Yi Z, Ling Y, Zhang X, Chen J, Hu K, Wang Y, Song W, Ying T, Zhang R, Lu H, Yuan Z. Functional mapping of B-cell linear epitopes of SARS-CoV-2 in COVID-19 convalescent population. Emerg Microbes Infect 2020; 9:1988-1996. [PMID: 32844713 PMCID: PMC7534331 DOI: 10.1080/22221751.2020.1815591] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Pandemic SARS-CoV-2 has caused unprecedented mortalities. Vaccine is in urgent need to stop the pandemic. Despite great progresses on SARS-CoV-2 vaccine development, the efficacy of the vaccines remains to be determined. Deciphering the interactions of the viral epitopes with the elicited neutralizing antibodies in convalescent population inspires the vaccine development. In this study, we devised a peptide array composed of 20-mer overlapped peptides of spike (S), membrane (M) and envelope (E) proteins, and performed a screening with 120 COVID-19 convalescent sera and 24 non-COVID-19 sera. We identified five SARS-CoV-2-specific dominant epitopes that reacted with above 40% COVID-19 convalescent sera. Of note, two peptides non-specifically interacted with most of the non-COVID-19 sera. Neutralization assay indicated that only five sera completely blocked viral infection at the dilution of 1:200. By using a peptide-compete neutralizing assay, we found that three dominant epitopes partially competed the neutralization activity of several convalescent sera, suggesting antibodies elicited by these epitopes played an important role in neutralizing viral infection. The epitopes we identified in this study may serve as vaccine candidates to elicit neutralizing antibodies in most vaccinated people or specific antigens for SARS-CoV-2 diagnosis.
Collapse
Affiliation(s)
- Zhigang Yi
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.,Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yun Ling
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China
| | - Xiaonan Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China
| | - Jieliang Chen
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Kongying Hu
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yuyan Wang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Wuhui Song
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Tianlei Ying
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Rong Zhang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - HongZhou Lu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China
| | - Zhenghong Yuan
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| |
Collapse
|
5
|
Epitope-Containing Short Peptides Capture Distinct IgG Serodynamics That Enable Differentiating Infected from Vaccinated Animals for Live-Attenuated Vaccines. J Virol 2020; 94:JVI.01573-19. [PMID: 31896600 PMCID: PMC7158722 DOI: 10.1128/jvi.01573-19] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 12/16/2019] [Indexed: 12/25/2022] Open
Abstract
Differentiating infected from vaccinated animals (DIVA) strategies have been central enabling techniques in several successful viral disease elimination programs. However, owing to their long and uncertain development process, no DIVA-compatible vaccines are available for many important diseases. We report herein a new DIVA strategy based on hybrid protein-peptide microarrays which can theoretically work with any vaccine. Leading from our findings from peste des petits ruminants (PPR) virus, we found 4 epitope-containing short peptides (ECSPs) which have distinct IgG serodynamics: anti-ECSP IgGs only exist for 10 to 60 days postvaccination (dpv), while anti-protein IgGs remained at high levels for >1,000 dpv. These data enabled the design of a DIVA diagnostic microarray containing 4 ECSPs and 3 proteins, which, unlike competitive enzyme-linked immunosorbent assay (cELISA) and virus neutralization tests (VNTs), enables ongoing monitoring of serological differences between vaccinated individuals and individuals exposed to the pathogen. For 25 goats after 60 dpv, 13 were detected with positive anti-ECSP IgGs, indicating recent infections in vaccinated goat herds. These DIVA diagnostic microarrays will almost certainly facilitate eradication programs for (re)emerging pathogens and zoonoses.IMPORTANCE Outbreaks of infectious diseases caused by viruses, such as pseudorabies (PR), foot-and-mouth disease (FMD), and PPR viruses, led to economic losses reaching billions of dollars. Both PR and FMD were eliminated in several countries via large-scale vaccination programs using DIVA-compatible vaccines, which lack the gE protein and nonstructural proteins, respectively. However, there are still extensive challenges facing the development and deployment of DIVA-compatible vaccines because they are time-consuming and full of uncertainty. Further, the negative marker strategy used for DIVA-compatible vaccines is no longer functional for live-attenuated vaccines. To avoid these disadvantageous scenarios, a new strategy is desired. Here, we made the exciting discovery that different IgG serodynamics can be monitored when using protein-based assays versus arrays comprising ECSPs. This DIVA microarray strategy should, in theory, work for any vaccine.
Collapse
|
6
|
Xiao Q, Yan L, Yao L, Lei J, Bi Z, Hu J, Chen Y, Fang A, Li H, Li Y, Yan Y, Zhou J. Development of oligonucleotide microarray for accurate and simultaneous detection of avian respiratory viral diseases. BMC Vet Res 2019; 15:253. [PMID: 31324180 PMCID: PMC6642548 DOI: 10.1186/s12917-019-1985-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 06/27/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Avian influenza virus (AIV), infectious bronchitis virus (IBV), and Newcastle disease virus (NDV) are important avian pathogens that can cause enormous economic loss on the poultry industry. Different respiratory etiological agents may induce similar clinical signs that make differential diagnosis difficult. Importantly, AIV brings about severe threat to human public health. Therefore, a novel method that can distinguish these viruses quickly and simultaneously is urgently needed. RESULTS In this study, an oligonucleotide microarray system was developed. AIV, including H5, H7, and H9 subtypes; NDV; and IBV were simultaneously detected and differentiated on a microarray. Three probes specific for AIV, NDV, and IBV, as well as three other probes for differentiating H5, H7, and H9 of AIV, were first designed and jet-printed to predetermined locations of initiator-integrated poly(dimethylsiloxane) for the synchronous detection of the six pathogens. The marked multiplex reverse transcription polymerase chain reaction (PCR) products were hybridized with the specific probes, and the results of hybridization were read directly with the naked eyes. No cross-reaction was observed with 10 other subtypes of AIV and infectious bursal disease virus, indicating that the oligonucleotide microarray assay was highly specific. The sensitivity of the method was at least 100 times higher than that of the conventional PCR, and the detection limit of NDV, AIV, H5, H7, and H9 can reach 0.1 EID50 (50% egg infective dose), except that of IBV, which was 1 EID50 per reaction. In the validation of 93 field samples, AIV, IBV, and NDV were detected in 53 (56.99%) samples by oligonucleotide microarray and virus isolation and in 50 (53.76%) samples by conventional PCR. CONCLUSIONS We have successfully developed an approach to differentiate AIV, NDV, IBV, H5, H7, and H9 subtypes of AIV using oligonucleotide microarray. The microarray is an accurate, high-throughput, and relatively simple method for the rapid detection of avian respiratory viral diseases. It can be used for the epidemiological surveillance and diagnosis of AIV, IBV, and NDV.
Collapse
Affiliation(s)
- Qian Xiao
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Liping Yan
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. .,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. .,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
| | - Lu Yao
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Jing Lei
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Zhenwei Bi
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Jianhua Hu
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Yuqing Chen
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - An Fang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Hui Li
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Yuan Li
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Yan Yan
- Key Laboratory of Animal Virology, Ministry of Agriculture, Zhejiang University, Hangzhou, 310058, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310058, People's Republic of China
| | - Jiyong Zhou
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Detection Center of Terrestrial Wildlife Disease, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Key Laboratory of Animal Virology, Ministry of Agriculture, Zhejiang University, Hangzhou, 310058, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310058, People's Republic of China
| |
Collapse
|
7
|
Xiao Q, Bi Z, Yao L, Lei J, Yan Y, Zhou J, Yan L. Novel protein microarray for the detection of avian influenza virus antibodies and simultaneous distinction of antibodies against H5 and H7 subtypes. Avian Pathol 2019; 48:528-536. [PMID: 31232095 DOI: 10.1080/03079457.2019.1634791] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Avian influenza virus (AIV) can cause serious zoonotic disease, thereby threatening the poultry industry and human health. An efficient and rapid detection approach is crucial to prevent and control the spread of avian influenza. In this study, a novel protein microarray was developed. Haemagglutinin proteins of H5 and H7 subtypes and nucleoprotein (NP) were purified and spotted onto the initiator-integrated poly-(dimethylsiloxane) as antigens. Monoclonal antibodies with inhibition effect were screened and utilized for the synchronous detection of three avian influenza antibodies in different species. In the protein microarray, the cut-off values were 40%, 50% and 30% inhibition for H5 antibody detection; 50%, 50% and 20% for NP antibody detection; 40%, 50% and 40% for H7 antibody detection in chicken, peacock and duck sera, respectively. The 95 serum samples were detected by microarray, and results were compared with the findings of AIV antibody test enzyme-linked immunosorbent assay (ELISA) or haemagglutination inhibition (HI) test. NP antibody detection in the microarray showed 100% (55/55) agreement ratio in chicken using ELISA. Compared with HI, H5 antibody detection in the microarray showed 100% (95/95) agreement ratio in chicken, peacock and duck, whilst those of H7 displayed 98.18% (54/55) agreement in chicken, 100% (20/20) in peacock and 90% (18/20) in duck. In conclusion, this novel protein microarray is a high-throughput and specific method for the detection of AIV antibodies and simultaneous distinction of antibodies against H5 and H7 subtypes. It can be applied to the serological diagnosis and epidemiological investigation of AIV. RESEARCH HIGHLIGHTS A novel protein microarray method has been developed. The microarray can detect AIV antibodies and distinguish between H5 and H7 subtypes. The study lays the foundation for simultaneous identification of multiple pathogens.
Collapse
Affiliation(s)
- Qian Xiao
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Jiangsu Detection Center of Terrestrial Wildlife Disease, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University , Nanjing , People's Republic of China
| | - Zhenwei Bi
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Jiangsu Detection Center of Terrestrial Wildlife Disease, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University , Nanjing , People's Republic of China
| | - Lu Yao
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Jiangsu Detection Center of Terrestrial Wildlife Disease, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University , Nanjing , People's Republic of China
| | - Jing Lei
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Jiangsu Detection Center of Terrestrial Wildlife Disease, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University , Nanjing , People's Republic of China
| | - Yan Yan
- Key Laboratory of Animal Virology and Department of Veterinary Medicine, Zhejiang University , Hangzhou , People's Republic of China
| | - Jiyong Zhou
- Key Laboratory of Animal Virology and Department of Veterinary Medicine, Zhejiang University , Hangzhou , People's Republic of China
| | - Liping Yan
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Jiangsu Detection Center of Terrestrial Wildlife Disease, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University , Nanjing , People's Republic of China
| |
Collapse
|
8
|
Wu H, Deng Z, Wang H, Li X, Sun T, Tao Z, Yao L, Jin Y, Wang X, Yang L, Ma H, Huang Y, Zhou Y, Du Z. MGMT autoantibodies as a potential prediction of recurrence and treatment response biomarker for glioma patients. Cancer Med 2019; 8:4359-4369. [PMID: 31210005 PMCID: PMC6675704 DOI: 10.1002/cam4.2346] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 05/31/2019] [Accepted: 06/01/2019] [Indexed: 12/11/2022] Open
Abstract
Background Cancer‐specific autoantibodies found in serum of cancer patients have been characterized as potential predictors of the high risk of recurrence and treatment response. The objective of this study is to investigate the clinical utility of serum O‐6‐methylguanine‐DNA methyltransferase (MGMT) autoantibodies as novel biomarkers for prediction of recurrence and treatment response for glioma through MGMT peptides microarray. Methods A total of 201 serum samples of glioma patients with various WHO grade and 311 serum samples of healthy donors were examined for the detection of MGMT autoantibodies by peptides microarray. The clinical value of MGMT autoantibodies was studied through univariable and multivariable analyses. Results Autoantibodies to MGMT peptides were detected in sera from glioma patients and five highly responsive autoantibodies to peptides were identified in the glioma group. The positive rate of MGMT autoantibody to 20 peptides in glioma groups is compared with healthy individuals, the positive rate of MGMT‐02 (45%), MGMT‐04 (27%), MGMT‐07 (21%), MGMT‐10 (13%), and MGMT‐18 (24%) were significantly elevated in patients with glioma. MGMT autoantibody and its protein expression exhibited a significant correlation. The levels of MGMT autoantibodies decreased on the 30th day after operation, reaching preoperative levels, similar to those when tumor recurrence developed. Univariable and multivariable analyses revealed that the only preoperative autoantibodies to MGMT‐02 peptide were independently correlated with recurrence‐free survival. Preoperative seropositive patients were more likely than seronegative patients to have shorter recurrence times and to be resistant to chemoradiotherapy or chemotherapy with temozolomide. Conclusion Monitoring the levels of preoperative serum autoantibodies to MGMT‐02 peptide was useful for predicting patients at high risk of recurrence and treatment response.
Collapse
Affiliation(s)
- Haibin Wu
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Zhitong Deng
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Hao Wang
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Xuetao Li
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Ting Sun
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Zhennan Tao
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Lin Yao
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Yanping Jin
- Nano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, Jiangsu
| | - Xiaoying Wang
- Nano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, Jiangsu
| | - Lan Yang
- Nano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, Jiangsu
| | - Hongwei Ma
- Nano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, Jiangsu
| | - Yulun Huang
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Youxin Zhou
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| | - Ziwei Du
- Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu
| |
Collapse
|
9
|
Efficient Screening of Combinatorial Peptide Libraries by Spatially Ordered Beads Immobilized on Conventional Glass Slides. High Throughput 2019; 8:ht8020011. [PMID: 31052149 PMCID: PMC6631230 DOI: 10.3390/ht8020011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 04/08/2019] [Accepted: 04/16/2019] [Indexed: 01/17/2023] Open
Abstract
Screening of one-bead-one-compound (OBOC) libraries is a proven procedure for the identification of protein-binding ligands. The demand for binders with high affinity and specificity towards various targets has surged in the biomedical and pharmaceutical field in recent years. The traditional peptide screening involves tedious steps such as affinity selection, bead picking, sequencing, and characterization. Herein, we present a high-throughput "all-on-one chip" system to avoid slow and technically complex bead picking steps. On a traditional glass slide provided with an electrically conductive tape, beads of a combinatorial peptide library are aligned and immobilized by application of a precision sieve. Subsequently, the chip is incubated with a fluorophore-labeled target protein. In a fluorescence scan followed by matrix-assisted laser desorption/ionization (MALDI)-time of flight (TOF) mass spectrometry, high-affinity binders are directly and unambiguously sequenced with high accuracy without picking of the positive beads. The use of an optimized ladder sequencing approach improved the accuracy of the de-novo sequencing step to nearly 100%. The new technique was validated by employing a FLAG-based model system, identifying new peptide binders for the monoclonal M2 anti-FLAG antibody, and was finally utilized to search for IgG-binding peptides. In the present format, more than 30,000 beads can be screened on one slide.
Collapse
|
10
|
Yan L, Hu J, Lei J, Shi Z, Xiao Q, Bi Z, Yao L, Li Y, Chen Y, Fang A, Li H, Song S, Liao M, Zhou J. Novel protein chip for the detection of antibodies against infectious bronchitis virus. BMC Vet Res 2018; 14:284. [PMID: 30223836 PMCID: PMC6142349 DOI: 10.1186/s12917-018-1586-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 08/20/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Infectious bronchitis (IB) caused by the IB virus (IBV) can cause acute damage to chickens around the world. Therefore, rapid diagnosis and immune status determination are critical for controlling IBV outbreaks. Enzyme-linked immunosorbent assays (ELISAs) have been widely used in the detection of IBV antibodies in the early infection and continuous infection of IB because they are more sensitive and quicker than other diagnostic methods. RESULTS We have developed two indirect microarray methods to detect antibodies against IBV: a chemiluminescent immunoassay test (CIT) and a rapid diagnostic test (RDT). IBV nonstructural protein 5 (nsp5) was expressed, purified from Escherichia coli, and used to spot the initiator integrated poly(dimethylsiloxane), which can provide a near "zero" background for serological assays. Compared with the IDEXX IBV Ab Test kit, CIT and RDT have a sensitivity and specificity of at least 98.88% and 91.67%, respectively. No cross-reaction was detected with antibodies against avian influenza virus subtypes (H5, H7, and H9), Newcastle disease virus, Marek's disease virus, infectious bursal disease virus, and chicken anemia virus. The coefficients of variation of the reproducibility of the intra- and inter-assays for CIT ranged from 0.8 to 18.63%. The reproducibility of RDT was consistent with the original results. The application of the IBV nsp5 protein microarray showed that the positive rate of the CIT was 96.77%, that of the nsp5 ELISA was 91.40%, and that of the RDT was 90.32%. Furthermore, the RDT, which was visible to the naked eye, could be completed within 15 min. Our results indicated that compared with nsp5 ELISA, the CIT was more sensitive, and the RDT had similar positive rates but was faster. Furthermore, the two proposed methods were specific and stable. CONCLUSIONS Two microarray assays, which were rapid, specific, sensitive, and relatively simple, were developed for the detection of an antibody against IBV. These methods can be of great value for the surveillance of pathogens and monitoring the efficiency of vaccination.
Collapse
Affiliation(s)
- Liping Yan
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. .,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. .,Jiangsu Detection Center of Terrestrial Wildlife Disease, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
| | - Jianhua Hu
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Jing Lei
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Zhiyu Shi
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Qian Xiao
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Zhenwei Bi
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Lu Yao
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Yuan Li
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Yuqing Chen
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - An Fang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Hui Li
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Suquan Song
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China
| | - Min Liao
- Key Laboratory of Animal Virology, Ministry of Agriculture, Zhejiang University, Hangzhou, 310058, People's Republic of China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310058, People's Republic of China
| | - Jiyong Zhou
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. .,Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. .,Jiangsu Detection Center of Terrestrial Wildlife Disease, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. .,Key Laboratory of Animal Virology, Ministry of Agriculture, Zhejiang University, Hangzhou, 310058, People's Republic of China. .,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310058, People's Republic of China.
| |
Collapse
|
11
|
Creation of antifouling microarrays by photopolymerization of zwitterionic compounds for protein assay and cell patterning. Biosens Bioelectron 2017; 102:63-69. [PMID: 29125973 DOI: 10.1016/j.bios.2017.11.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 10/17/2017] [Accepted: 11/01/2017] [Indexed: 11/20/2022]
Abstract
Nonspecific binding or adsorption of biomolecules presents as a major obstacle to higher sensitivity, specificity and reproducibility in microarray technology. We report herein a method to fabricate antifouling microarray via photopolymerization of biomimetic betaine compounds. In brief, carboxybetaine methacrylate was polymerized as arrays for protein sensing, while sulfobetaine methacrylate was polymerized as background. With the abundant carboxyl groups on array surfaces and zwitterionic polymers on the entire surfaces, this microarray allows biomolecular immobilization and recognition with low nonspecific interactions due to its antifouling property. Therefore, low concentration of target molecules can be captured and detected by this microarray. It was proved that a concentration of 10ngmL-1 bovine serum albumin in the sample matrix of bovine serum can be detected by the microarray derivatized with anti-bovine serum albumin. Moreover, with proper hydrophilic-hydrophobic designs, this approach can be applied to fabricate surface-tension droplet arrays, which allows surface-directed cell adhesion and growth. These light controllable approaches constitute a clear improvement in the design of antifouling interfaces, which may lead to greater flexibility in the development of interfacial architectures and wider application in blood contact microdevices.
Collapse
|
12
|
Abstract
Speed and throughput are vital ingredients for discovery driven, "-omics" research. The small molecule microarray (SMM) succeeds at delivering phenomenal screening throughput and versatility. The concept at the heart of the technology is elegant, yet simple: by presenting large collections of molecules in high density on a flat surface, one is able to interrogate all possible interactions with desired targets, in just a single step. SMMs have become established as the choice platform for screening, lead discovery, and molecular characterization. This introduction describes the principles governing microarray construction and use, focusing on practical challenges faced when conducting SMM experiments. It will explain the key design considerations and lay the foundation for the chapters that follow. (An earlier version of this chapter appeared in Small Molecule Microarrays: Methods and Protocols, published in 2010.).
Collapse
Affiliation(s)
- Mahesh Uttamchandani
- Defence Medical and Environmental Research Institute, DMERI, DSO National Laboratories, #09-01, 27 Medical Drive, Singapore, Singapore, 117510. .,Department of Chemistry, Faculty of Science, National University of Singapore, 3 Science Drive 3, Singapore, Singapore, 117543.
| | - Shao Q Yao
- Department of Chemistry, Faculty of Science, National University of Singapore, 3 Science Drive 3, Singapore, Singapore, 117543.
| |
Collapse
|