| Literature DB >> 29091950 |
Andrea S Heimann1, Achla Gupta2, Ivone Gomes2, Rahman Rayees2, Avner Schlessinger2, Emer S Ferro3, Ellen M Unterwald4, Lakshmi A Devi2.
Abstract
The N-terminal region of G protein-coupled receptors can be efficiently targeted for the generation of receptor-selective antibodies. These antibodies are useful for the biochemical characterization of the receptors. In this study, we developed a set of criteria to select the optimal epitope and applied them to generate antibodies to the N-terminal region of 34 different G protein-coupled receptors. The antibody characterization revealed that a subset of antibodies exhibited increased recognition of the receptor following agonist treatment and this increase could be blocked by treatment with the receptor antagonist. An analysis of the epitopes showed that those antibodies that exhibit increased recognition are on average twelve residues long, have an overall net negative charge and are enriched in aspartic and glutamic acids. These antibodies are useful since they facilitate studies examining dose dependent increases in recognition of receptors in heterologous cells as well as in native tissue. Another interesting use of these antibodies is that they facilitate measuring changes in receptor recognition in brain following peripheral drug administration; for example, systemic administration of cocaine, a blocker of dopamine transporter that increases local dopamine levels at the synapse, was found to lead to increases in antibody recognition of dopamine receptors in the brain. Taken together these studies, in addition to describing novel tools to study native receptors, provide a framework for the generation of antibodies to G protein-coupled receptors that can detect ligand-induced conformational changes.Entities:
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Year: 2017 PMID: 29091950 PMCID: PMC5665533 DOI: 10.1371/journal.pone.0187306
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Receptor recognition by anti-GPCR antibodies following agonist treatment.
| Receptor Name | Antigen | AA | Agonist | % of control | |
|---|---|---|---|---|---|
| 10 | Quinpirole | 153.0 ± 6.0 | |||
| 18 | DAMGO | 151.0 ± 7.0 | |||
| 12 | Deltorphin II | 150.9 ± 5.0 | |||
| 16 | alpha-MSH | 145.9 ± 7.0 | |||
| 10 | BK 1–8 | 144.3 ± 6.0 | |||
| 11 | Isoproterenol | 142.0 ± 1.0 | |||
| 10 | Angiotensin II | 141.0 ± 3.0 | |||
| 9 | AM 251 | 140.5 ± 9.0 | |||
| 10 | Ghrelin | 140.4 ± 1.0 | |||
| 11 | HU210 | 139.5 ± 5.0 | |||
| 11 | R(+)-8-OH-DPAT | 137.3 ± 2.0 | |||
| 10 | Neurotensin | 130.6 ± 6.0 | |||
| 10 | Vasopressin | 129.7 ± 5.0 | |||
| 12 | CCK8 | 127.7 ± 2.0 | |||
| 12 | Isoproterenol | 127.6 ± 4.0 | |||
| 13 | BK | 125.4 ± 2.0 | |||
| 15 | UK14304 | 125.4 ± 6.0 | |||
| 10 | Bethanecol | 125.4 ± 8.0 | |||
| 11 | HU210 | 125.3 ± 6.0 | |||
| 10 | Substance P | 124.5 ± 2.0 | |||
| 15 | NPY | 124.0 ± 6.0 | |||
| 10 | Angiotensin II | 119.9 ± 4.0 | |||
| 13 | Phenylephrine | 116.9 ± 5.0 | |||
| 12 | Dynorphin A | 116.3 ± 3.0 | |||
| 16 | SKF-38393 | 113.1 ± 4.0 | |||
| 12 | DAMGO | 101.0 ± 4.0 | |||
| 10 | Bethanecol | 104.0 ± 6.0 | |||
| 11 | HU210 | 102.0 ± 4.0 | |||
| 9 | ET-1 | 100.0 ± 8.0 | |||
| 10 | Substance P | 99.0 ± 4.0 | |||
| 10 | Leukotriene B4 | 100.0 ± 5.0 | |||
| 10 | Leukotriene B4 | 98.0 ± 7.0 | |||
| 12 | Prostaglandin D2 | 103.0 ± 7.0 | |||
| 10 | Prostaglandin E2 | 103.0 ± 7.0 | |||
| 10 | Prostaglandin F2 | 100.0 ± 4.0 | |||
| 10 | Vasopressin | 105.0 ± 8.0 | |||
| 8 | Vasopressin | 101.0 ± 6.0 | |||
| 10 | Neurotensin | 99.0 ± 3.0 |
Membranes (5 μg) from HEK-293 cells expressing individual receptors were treated with 1 μM of receptor agonist and changes in receptor recognition were ascertained by ELISA using anti-receptor antibodies as described in Methods. Values obtained with vehicle treatment were taken as 100%. Data represent Mean ± SE, n = 3–6.
Fig 1Biophysical features of antigenic epitopes.
(a) Representation of amino acids in affected epitopes (epitopes with an absorbance greater than 100%) and not affected epitopes (epitopes with an absorbance equal to 100%) and their abundance in GPCRs (b) Abundance of negatively, positively, polar and nonpolar residues in affected, not affected epitopes and the GPCR, in general. (c) Frequency plot of the overall net-charge of affected and unaffected epitopes. Comparison of the distribution of net charges between unaffected and affected epitopes was carried out by a Wilcox-Man-Whitney rank sum test. *p<0.001.
Endogenous receptor recognition by anti-GPCR antibodies following agonist treatment.
| Receptor | Agonist | EC50 (nM) | Emax | Agonist + antagonist | EC50 (nM) | Emax (% control) |
|---|---|---|---|---|---|---|
| D2 dopamine | Quinpirole | 7.6 ± 1.1 | 237 ± 8 | Quinpirole + Sulpiride | n.a. | 121 ± 3 |
| 5HT1A serotonin | R(+)-8-OH-DPAT | 1.4 ± 2.1 | 221 ± 8 | R(+)-8-OH-DPAT + WAY100135 | n.a. | 116 ± 16 |
| Cholecystokinin 1 | CCK8 | 0.1 ± 0.4 | 199 ± 17 | CCK8 + SR27987 | n.a. | 129 ± 24 |
| Ghrelin (GHSR) | Ghrelin | 1.8 ± 1.7 | 184 ± 5 | Ghrelin + YIL | n.a. | 84 ± 9 |
| Delta opioid | Deltorphin II | 0.6 ± 0.2 | 182 ± 2 | Deltorphin II + TIPPψ | n.a. | 103 ± 3 |
| Mu opioid | DAMGO | 1.1 ± 0.3 | 174 ± 9 | DAMGO + CTOP | n.a. | 98 ± 7 |
| CB1 cannabinoid | Hu210 | 4.6 ± 1.3 | 173 ± 7 | Hu210 + SR141716A | n.a. | 114 ± 8 |
| Beta2 adrenergic | Isoproterenol | 0.9 ± 1.0 | 172 ± 5 | Isoproterenol + CGP12177 | n.a. | 100 ± 1 |
| B2 bradykinin | Bradykinin | 5.8 ± 1.9 | 171 ± 7 | Bradykinin + WIN64338 | n.a. | 89 ± 3 |
| AT1 angiotensin | Angiotensin II | 3.9 ± 1.2 | 170 ± 10 | Angiotensin II + losartan | n.a. | 108 ± 10 |
| NK1 (substance P) | Substance P | 0.8 ± 2.0 | 146 ± 6 | Substance P + L733060 | n.a. | 55 ± 6 |
SK-N-SH cells were treated with different concentrations (0–10 μM) of receptor agonist in the absence or presence of antagonist and changes in receptor recognition were measured by ELISA using anti-receptor antibodies as described in Methods. Values obtained with vehicle treatment were taken as 100%. Data represent Mean ± SE, n = 3.
*Values from data in [6]; n.a., not applicable.
Fig 2Characterization of polyclonal antibodies to dopamine receptors.
(A) ELISA with D2R polyclonal antibody detects a signal only in CHO cells stably expressing D2R (CHO-D2R) and not in control CHO cells. Data represent Mean ± SE (n = 3). ****p < 0.0001, Student’s t-test. (B) SK-N-SH cells or (C) primary cortical neurons were treated with various ligands (0–10 μM) and receptor recognition by anti-D2R antibodies measured by ELISA as described under “Experimental Procedures”. (D) SK-N-SH cells or (E) primary cortical neurons were treated with various ligands (1 μM for panel D and 0–10 μM for panel E) and receptor recognition by anti-D1R antibodies measured by ELISA. (F) Receptor recognition in striatal or (G) prefrontal cortex (PFC) membranes from mice treated with vehicle or cocaine (20 mg/ kg body weight) was probed using anti-D2R or anti-CB1R antibodies by ELISA. Data from untreated “controls” were taken as 100%. Statistically significant differences from control are indicated. *p < 0.05, **p < 0.01, ****p < 0.0001; n = 3.