| Chapter title |
Monitoring Ligand-Activated Protein–Protein Interactions Using Bioluminescent Resonance Energy Transfer (BRET) Assay
|
|---|---|
| Chapter number | 1 |
| Book title |
High-Throughput Screening Assays in Toxicology
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6346-1_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6344-7, 978-1-4939-6346-1
|
| Authors |
Carlos Coriano, Emily Powell, Wei Xu, Coriano, Carlos, Powell, Emily, Xu, Wei |
| Editors |
Hao Zhu, Menghang Xia |
| Abstract |
The bioluminescent resonance energy transfer (BRET) assay has been extensively used in cell-based and in vivo imaging systems for detecting protein-protein interactions in the native environment of living cells. These protein-protein interactions are essential for the functional response of many signaling pathways to environmental chemicals. BRET has been used as a toxicological tool for identifying chemicals that either induce or inhibit these protein-protein interactions. This chapter focuses on describing the toxicological applications of BRET and its optimization as a high-throughput detection system in live cells. Here we review the construction of BRET fusion proteins, describe the BRET methodology, and outline strategies to overcome obstacles that may arise. Furthermore, we describe the advantage of BRET over other resonance energy transfer methods for monitoring protein-protein interactions. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 27% |
| Student > Bachelor | 3 | 20% |
| Professor | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Other | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Agricultural and Biological Sciences | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Chemical Engineering | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |