| Title |
Phenotypic knockouts of selected metabolic pathways by targeting enzymes with camel-derived nanobodies (VHHs)
|
|---|---|
| Published in |
Metabolic Engineering, April 2015
|
| DOI | 10.1016/j.ymben.2015.04.002 |
| Pubmed ID | |
| Authors | |
| Abstract |
Surveying the dynamics of metabolic networks of Gram-negative bacteria often requires the conditional shutdown of enzymatic activities once the corresponding proteins have been produced. We show that given biochemical functions can be entirely suppressed in vivo with camel antibodies (VHHs, nanobodies) that target active sites of cognate enzymes expressed in the cytoplasm. As a proof of principle, we raised VHHs against 2,5-dihydroxypyridine dioxygenase (NicX) of Pseudomonas putida, involved in nicotinic acid metabolism. Once fused to a thioredoxin domain, the corresponding nanobodies inhibited the enzyme both in E. coli and in P. putida cells, which then accumulated the metabolic substrate of NicX. VHHs were further engineered to track the antigen in vivo by C-terminal fusion to a fluorescent protein. Conditional expression of the resulting VHHs allows simultaneously to track and target proteins of interest and enables the design of transient phenotypes without mutating the genetic complement of the bacteria under study. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 13% |
| United States | 1 | 6% |
| Netherlands | 1 | 6% |
| Germany | 1 | 6% |
| United Arab Emirates | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 9 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 3 | 19% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| China | 1 | 2% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Researcher | 12 | 23% |
| Student > Master | 7 | 13% |
| Other | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 45% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Chemical Engineering | 3 | 6% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 10 | 19% |