Acta Optica Sinica, Volume. 41, Issue 17, 1730004(2021)
Fluorescence Auto-Correlation Spectroscopy Quantitatively Measures Antigen-Antibody Binding Affinity
Fig. 2. Flow chart of the data analysis software for determining antigen-antibody binding affinity
Fig. 3. Analyze the affinity of Alex647 fluorescent molecule antigen and antibody using FCS and MEM methods. (a) Normalized fluorescence auto-correlation curves of a standard fluorescent molecule sample, a free Alexa Fluor647 antigen sample, and a bound antigen sample; (b) normalized fluorescence auto-correlation curves of Alexa Fluor647 mixed with different concentrations of monoclonal antibody; (c) distribution curves of diffusion correlation time of the free and bound Alexa Fluor647 obtained by MEM analyses of the 13 antigen-antibody samples; (d) antigen-antibody dissociation constant was obtained by non-linear least squares fitting of the bound antigen fractions data with different concentrations of antibody
Fig. 4. FCS and MEM Analyses of GFP antigen-antibody binding affinity. (a)Normalized fluorescence auto-correlation curves of a standard fluorescent molecule sample, a free GFP antigen sample, and a bound antigen sample; (b) normalized fluorescence auto-correlation curves of samples composed of GFP mixed with different concentrations of monoclonal antibody; (c) distribution curves of diffusion correlation time of the free and bound GFP obtained by MEM analyses of the antigen-antibody samples; (d) antigen-antibody dissociation constant was obtained by non-linear least squares fitting of the bound antigen fractions data with different concentrations of antibody
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Yamei Luo, Lin Jian, Haoqi Luo, Keying Huang, Wolun Zhang, Zhulou Wang, Huizhi Zhang, Qian Xiao, Shaohui Huang. Fluorescence Auto-Correlation Spectroscopy Quantitatively Measures Antigen-Antibody Binding Affinity[J]. Acta Optica Sinica, 2021, 41(17): 1730004
Category: Spectroscopy
Received: Jan. 24, 2021
Accepted: Mar. 29, 2021
Published Online: Sep. 3, 2021
The Author Email: Xiao Qian (qianxiao@ibp.ac.cn), Huang Shaohui (shaohuih@ibp.ac.cn)