Title |
Enhanced detection of single-cell-secreted proteins using a fluorescent immunoassay on the protein-G-terminated glass substrate
|
---|---|
Published in |
International Journal of Nanomedicine, November 2015
|
DOI | 10.2147/ijn.s92596 |
Pubmed ID | |
Authors |
Yoon Jeong, Kwan Hong Lee, Hansoo Park, Jonghoon Choi |
Abstract |
We present an evaluation of protein-G-terminated glass slides that may contain a suitable substrate for aligning the orientation of antibodies to obtain better binding moiety to the target antigen. The results of the protein-G-terminated slides were compared with those obtained with epoxy-based slides to evaluate signal enhancement for human immunoglobulin G (IgG) targets, and an increase in the average fluorescence intensity was observed for the lowest measurable amount of IgG target in the assay using protein-G-terminated slides. Applying this strategy for signal amplification to single-cell assays improves the limits of detection for human IgG protein and cytokines (interleukin-2 and interferon-γ) captured from hybridomas. Our data indicate that protein-G-terminated slides have a higher binding capacity for antigens and have better spot-to-spot consistency than that of traditional epoxy-based slides. These properties would be beneficial in the detection of fine amounts of single-cell-secreted proteins, which may provide key insights into cell-cell communication and immune responses. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 14% |
Student > Master | 3 | 11% |
Student > Ph. D. Student | 3 | 11% |
Other | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Other | 4 | 14% |
Unknown | 10 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 21% |
Biochemistry, Genetics and Molecular Biology | 4 | 14% |
Agricultural and Biological Sciences | 2 | 7% |
Chemistry | 2 | 7% |
Computer Science | 1 | 4% |
Other | 2 | 7% |
Unknown | 11 | 39% |