| Title |
Different expression systems resulted in varied binding properties of anti-paclitaxel single-chain variable fragment antibody clone 1C2
|
|---|---|
| Published in |
Journal of Natural Medicines, October 2017
|
| DOI | 10.1007/s11418-017-1136-z |
| Pubmed ID | |
| Authors |
Gorawit Yusakul, Seiichi Sakamoto, Poomraphie Nuntawong, Hiroyuki Tanaka, Satoshi Morimoto |
| Abstract |
The binding properties of recombinant antibody fragments, such as affinity and specificity, determine their usefulness for therapeutic and analytical applications. Anti-paclitaxel single-chain variable fragment clone 1C2 (anti-PT scFv1C2) was expressed using Escherichia coli cell and Bombyx mori larvae expression systems. The binding characteristics of the scFvs were evaluated using indirect competitive ELISA. The linear range of binding between anti-PT scFv1C2 and paclitaxel was significantly different between the anti-PT scFv1C2s derived from E. coli (1.056-5.700 μg/ml) and B. mori (7.813-1000 ng/ml), which indicated that different expression systems resulted in different sensitivities for paclitaxel determination. In addition, the binding specificity of anti-PT scFv1C2 varied between expression systems. This finding implied that the expression system significantly affects the binding properties of recombinant antibodies, especially antibodies against low-molecular-weight targets. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Researcher | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 38% |
| Immunology and Microbiology | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2018.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from Journal of Natural Medicines
#303
of 533 outputs
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#248,875
of 324,897 outputs
Outputs of similar age from Journal of Natural Medicines
#6
of 14 outputs
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