Discovery of TAS2R14 Agonists from Platycodon grandiflorum Using

Sep 27, 2018 - TAS2R14 is of great potential as a therapeutic target against asthma, and the discovery of TAS2R14 agonists can be very valuable for tr...
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Bioactive Constituents, Metabolites, and Functions

Discovery of TAS2R14 agonists from Platycodon grandiflorum using virtual screening and affinity-screening based on a novel TAS2R14functionalized HEMT sensor combined with UPLC-MS analysis Zhixin Wang, Yuxin Zhang, Yanling Zeng, Xi Li, Zhao Chen, Jiaming Luo, Yang Zhang, Yanling Zhang, and Yanjiang Qiao J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.8b04455 • Publication Date (Web): 27 Sep 2018 Downloaded from http://pubs.acs.org on September 30, 2018

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Journal of Agricultural and Food Chemistry

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Discovery of TAS2R14 agonists from Platycodon grandiflorum using

2

virtual

3

TAS2R14-functionalized HEMT sensor combined with UPLC-MS analysis

screening

and

affinity-screening

based

on

a

novel

4 5

Zhi-Xin Wang,† Yu-Xin Zhang,† Yan-Ling Zeng,† Xi Li,† Zhao Chen,† Jia-Ming Luo,‡

6

Yang Zhang,‡ Yan-Ling Zhang,∗,† and Yan-Jiang Qiao∗,†

7 8



9

Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing

Key Laboratory of TCM Information Engineering of State Administration of

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102488, P. R. China

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12

Beijing 100083, P. R. China

Key Laboratory of Semiconductor Materials Science, Chinese Academy of Sciences,

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Corresponding author: Prof. Yan-Jiang Qiao, School of Chinese Materia Medica,

14



15

Beijing University of Chinese Medicine, Yangguang South Street, Fangshan District,

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Beijing 102488, P. R. China. Phone: 086-10-84738661. E-mail: [email protected]

17



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Medica, Beijing University of Chinese Medicine, Yangguang South Street, Fangshan

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District, Beijing 102488, P. R. China. Phone: 086-10-84738662. E-mail:

20

[email protected]

Additional corresponding author: Prof. Yan-Ling Zhang, School of Chinese Materia

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ABSTRACT: TAS2R14 is of great potential as a therapeutic target against asthma,

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and discovery of TAS2R14 agonists can be much valuable for treating this disease.

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Herein, we developed a strategy using virtual screening and affinity-screening based

25

on a fabricated biosensor combined with UPLC-MS analysis to screen TAS2R14

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agonists from Platycodon grandiflorum. By ligand-based virtual screening, 16 best-fit

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candidates were yielded. A novel TAS2R14-functionalized HEMT sensor was applied

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to detect and fish out the potential TAS2R14 agonists from P. grandiflorum extracts.

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Those components captured by the immobilized TAS2R14 were eluted and

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characterized on UPLC-QTOF MS. As results, six potential TAS2R14 agonists were

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screened out and identified. Among them, platycodin L was confirmed to be a special

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agonist of TAS2R14 for the first time and had an EC50 of 15.03 ± 1.15 µM via

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intracellular calcium mobilization assay (n=6). The results indicated that the proposed

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strategy was efficient to discover TAS2R14 agonists from herb directly.

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KEYWORDS: taste type 2 receptor 14 (TAS2R14), agonists, Platycodon grandiflorum,

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virtual screening, high electron mobility transistor (HEMT)

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■ INTRODUCTION

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The bitter taste perception of human is mediated via taste type Ⅱ receptors

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(TAS2Rs)1. This kind of special G protein-coupled receptor (GPCR) was firstly

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discovered in gustatory cells, afterwards in extraoral system, where they play various

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physiological functions2. Especially, the expression and latent functions of TAS2Rs in

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respiratory tract have drawn broad concerns3-6. Previous investigations have proved

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that TAS2R14, the first identified one among the 25 subtypes of TAS2Rs, owns an

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exceptionally wide agonist spectrum7-9 and the highest expression level in human

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bronchi10. Many TAS2R14 agonists, such as caffeine, quinine and diphenidol have

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remarkable effects on relaxation of airway smooth muscle, and they were thought to

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be promising drugs for asthma treatment clinically5,11. Therefore, TAS2R14 is of great

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potential as a therapeutic target against asthma, and discovery of TAS2R14 agonists

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can be much valuable for treating this disease.

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Traditional Chinese medicine (TCM) have been served as important source for

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discovery of therapeutic agents over the past few decades12. Platycodon grandiflorum

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(Jacq.) A. DC., a kind of drug-food homologous plant, is widely distributed in China,

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Korea and Japan. The dried root of P. grandiflorum was designated as “bitter taste”

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medicine according to the herbal property theory13, and has been used to treat

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respiratory disease such as asthma14, airway inflammation15-16 and pulmonary

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tuberculosis13, so some chemical components in this herb are likely to be the

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TAS2R14 agonists with potential clinical effects. High-throughput screening (HTS) is

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one of the dominant techniques for screening active ingredients from complex herb, 3

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but its applications in discovering the agonists of TAS2Rs are rare. Hu et al. fished out

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three TAS2R14 agonists from hundreds of natural compounds using HTS model

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based on TAS2R14 over-expressed HEK293 cells17. However, this method will be

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effective only if a large bank of pure compounds are available, namely, HTS entails a

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huge separation workload and a low efficiency when using TCM as source. Hence, it

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is quite essential but challenging to develop an efficient and fast screening method for

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identifying agonists of TAS2Rs from TCM directly.

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As a semiconductor device, AlGaAs/InGaAs-based high electron mobility

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transistor (HEMT) of heterostructure shows characteristic electronic properties

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including piezoelectric and spontaneous polarization, which bring about high density

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and migration rate of two-dimensional electron gas (2DEG) in its heterogenous

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interface. Because that interface is very close to the surface of device, any variance of

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surface conditions, such as binding outside molecules to the gate area will

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significantly change the 2DEG density, which in turn alters the size of interpolar

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current. Therefore, the HEMT can be taken as a powerful tool with ultra-high

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sensitivity to detect bound substances18. Moreover, profiting from the advantages of

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column packed with sub-2 µm particle, ultra-high liquid chromatography (UPLC)

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enables efficient separation and saves analysis time19. And high-resolution mass

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spectrometry (HRMS) owns excellent qualitative ability, the combination of UPLC

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with HRMS has become an extremely important technology in the field of natural

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product analysis more and more frequently20-21. In this study, an efficient strategy

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based on virtual screening and affinity-screening by a novel TAS2R14-functionalized 4

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HEMT sensor combined with UPLC-MS analysis was proposed to fish out TAS2R14

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agonists from P. grandiflorum. By ligand-based virtual screening, 16 best-fit

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candidates were firstly yielded. Then TAS2R14 in membrane protein extracted from

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recombinational TAS2R14 over-expressed HEK293 cells was immobilized on

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AlGaAs/InGaAs HEMT sensor to detect and capture the potential TAS2R14 agonists

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from P. grandiflorum extracts, followed by the two-step elution to release the bound

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agonists. The released components were collected and applied to UPLC-QTOF MS

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analysis for identification. As results, six pentacyclic triterpenoid saponins including

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platycoside D, platycoside G2, platyconic acid A, platycodin D, platycodin L and

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platycodin K were identified and considered as the potential TAS2R14 agonists,

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which were also the hits in virtual screening. Among them, platycodin L was

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confirmed to be a special agonist of TAS2R14 for the first time and had an EC50 of

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15.03 ± 1.15 µM via intracellular calcium mobilization assay. This strategy could

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facilitate the research and development of effective anti-asthmatic agents and provide

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a useful reference for screening agonist or inhibitor class of drugs from TCM directly.

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■ MATERIALS AND METHODS

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Chemicals and Materials

Dulbecco’s modified eagle medium (DMEM), fetal

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bovine serums (FBS), bull serum albumin (BSA), tris buffered saline with Tween-20

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(TBST), phosphate buffer solution (PBS, 100 mM, pH 7.4), Hank’s balanced salt

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solution (HBSS), penicillin-streptomycin mixed solution (100×), hygromycin B,

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geneticin (G418) and Mem-PER™ plus membrane protein extraction kit (89842) 5

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were purchased from Thermo Fisher Scientific (Waltham, MA, USA). Bicinchoninic

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acid protein assay (BCA) kit was from Biomiga (San Diego, CA, USA). Rabbit

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polyclonal anti-TAS2R14 antibody was from Abcam (Cambridge, UK). Rabbit

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monoclonal anti-Na+/K+-ATPase α1 antibody was from Cell Signaling Technology

109

(Boston, MA, USA). HRP-conjugated goat anti-rabbit IgG (H+L) secondary antibody

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was from TDY Biotechnology (Beijing, China).

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Quinine, aristolochic acid, D-(-)-salicin and platycodin D (purity ≥ 97%) were from

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Nature Standard Technology (Shanghai, China). Platycodin L (purity ≥ 98%) were

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from Quality Phytochemicals (New Jersey, USA). Denatonium benzoate, probenecid,

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acid red 1, 3-mercaptopropionic acid (3-MPA), 1-ethyl-3-(3-dimethylaminopropyl)

115

carbodiimide hydrochloride (EDC) and N-hydroxysuccinimide (NHS) (all purity ≥

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98%) were from Sigma-Aldrich (St. Louis, MO, USA). Fluo-4 AM dye was from

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Molecular Probes (Grand Island, NY, USA). Matrigel was from Becton Dickinson

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(New York, NY, USA). Methanol, acetonitrile, formic acid (UPLC grade) and

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dimethylsulfoxide (DMSO, HPLC grade) were from Honeywell (Morris, NJ, USA).

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Deionized water was produced by the Millipore-Q water purification system

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(Millipore, Bedford, MA, USA).

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P. grandiflorum were collected from Anhui, China in May, 2016 (Batch No.

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16052904) and identified by Prof. Zhenfang Bai (School of Chinese Materia Medica,

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Beijing University of Chinese Medicine, Beijing, China). Voucher specimens were

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preserved at the authors’ laboratory.

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Establishment of Pharmacophore Model of TAS2R14 Agonists for Virtual 6

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Because of the unavailability of 3D crystal structure of TAS2R14, the

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Screening

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pharmacophore models of the TAS2R14 agonists were firstly established and

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ligand-based virtual screening was adopted to predict the potential TAS2R14 agonists

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in P. grandiflorum, which could reduce the blindness of the following experimental

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procedure. Twelve known TAS2R14 agonists were used as a training set (Table S1) to

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establish pharmacophore models22, taking into account the structural diversity and

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activity of these compounds. The key steps for pharmacophore establishment were

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briefly described as follows23. The 3D pharmacophore hypotheses were constructed

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by HipHop (Common Feature Pharmacophore Generation) in Discovery Studio v4.0

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(Accelrys, San Diego, CA, USA). Conformations of ligand were generated within the

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relative energy threshold of 20 kcal/mol by BEST (Best Quality Conformer

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Generation) at the maximum size of 255 conformations. On the basis of initial

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analysis, hydrogen bond acceptors (HBA), hydrogen bond donors (HBD),

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hydrophobic portions (HY) and aromatic rings (AR), which well-matched all of the

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training set ligands have been selected. The interaction between ligand and receptor

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could be characterized by these pharmacophore features. The maximum number of

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pharmacophore models produced was set as 10. A decoy set, consisting of 37

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experimentally known TAS2R14 agonists22 (Table S2) and 191 non-active compounds

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(Table S3), was applied to validate the established pharmacophore models. An

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empirical parameter CAI (comprehensive appraisal index) were used to quantify the

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capabilities of pharmacophore models23. The one with the highest CAI was picked as

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query to screen the self-built 3D chemical database including 121 reported 7

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compounds derived from P. grandiflorum in Discovery Studio. The minimum

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interference distance was set as 1 Å, and search algorithm was set as best. The other

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parameters were set as default. Finally, the fit values were calculated to denote the

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matching degree between the conformers of each compound and pharmacophore

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model, namely a higher fit value indicated a better match.

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Construction of Recombinational TAS2R14-HEK293 Cells and Extraction of To prepare the bioactive

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Membrane Protein with Over-expressed TAS2R14

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TAS2R14, a recombinational TAS2R14 (Gα16gust44)-HEK293 cell line was

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constructed, in which TAS2R14 was over-expressed. The coexistence of Gα16 protein

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and gustducin of 44 amino acids was necessary for testing TAS2R14-agonistic

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activity in intracellular calcium mobilization assay24. A full-length human cDNA of

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TAS2R14 was firstly cloned and then co-transfected with the gene of Gα16-gustducin

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into HEK293 cells24. Then the recombinational TAS2R14-HEK293 cells were

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incubated in 5% CO2 at 37 °C, and the medium was DMEM containing 10% FBS, 100

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U/mL penicillin and 100 µg/mL streptomycin, 100 µg/mL hygromycin B and 200

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µg/mL G418. The last two kinds of antibiotic were used to inhibit the growth of

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non-transfected cells and consequently screen TAS2R14-HEK293 cells. Due to the

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existence fluorescent tag within the constructed TAS2R14 expression vector, red

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fluorescence from stably growing TAS2R14-HEK293 cells should be easily observed

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under a fluorescence microscope (Figure S1). For comparison, primordial HEK293

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cells were also cultured, but in DMEM just added 10% FBS, 100 U/mL penicillin and

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100 µg/mL streptomycin. After culturing and harvesting sufficient cells, membrane 8

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fractions were extracted using Mem-PER™ plus membrane protein extraction kit

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according to the suggested protocol.

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Western Blotting for Identification and Quantification of TAS2R14

The

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concentration of extracted membrane protein was determined using the BCA kit. Then

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Western

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TAS2R14-HEK293 cells and comparing its content in membrane protein extracted

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from TAS2R14-HEK293 cells and HEK293 cells. Na+/K+-ATPase α1 was used as the

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internal inference. The membrane fractions were firstly separated by SDS-PAGE and

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transferred to nitrocellulose membranes. After blocking with 3% BSA-TBST for 30

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min, the membranes were incubated overnight in primary antibodies at 4 °C. The

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primary antibodies were rabbit polyclonal anti-TAS2R14 antibody and rabbit

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monoclonal anti-Na+/K+-ATPase α1 antibody (both 1:5000 diluted with 3%

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BSA-TBST). After incubation, the membranes were exposed to HRP-conjugated goat

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anti-rabbit IgG (H+L) secondary antibody (1:2000 diluted with 5% nonfat milk-TBST)

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for 40 min. Finally, the membranes were processed using the ChemistarTM High-sig

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ECL Western blotting substrate (Tanon, Shanghai, China) and analyzed on a GeneTex

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image analyzer (Fujifilm, Tokyo, Japan).

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blotting

was

adopted

to

identify

Fabrication of AlGaAs/InGaAs HEMT Sensor

TAS2R14

in

recombinant

The AlGaAs/InGaAs HEMT were

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grown by molecular beam epitaxy (MBE) on GaAs substrate25. From bottom to top, it

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consisted of an undoped GaAs buffer layer (500 nm), an In0.3Ga0.7As channel layer

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(15 nm), an Al0.3Ga0.7As spacer layer (4 nm), a Si δ-doping layer, an Al0.3Ga0.7As

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barrier layer (25 nm) and a GaAs cap layers (30 nm). Figure 1 shows the 9

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cross-sectional schematic drawing of AlGaAs/InGaAs HEMT device. The detailed

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fabrication process of HEMT was described as the reference26.

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Immobilization of TAS2R14 on AlGaAs/InGaAs HEMT Sensor and XPS

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Characterization Before the bio-functionalization process, a quartz glass tube (10 ×

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4 mm) was stuck on the surface of chip with “502” glue carefully, which was used as

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a solution reservoir. The chip consisted of four groups of HEMT with 4 × 2 Au-coated

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gates just surrounded in the tube (Figure 1). 10 mM 3-MPA aqueous solution was then

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added into the reservoir at room temperature for 24 h to form the self-assembled

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monolayer (SAM). After Au-S bonding, the sensor was washed with water to remove

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3-MPA physically absorbed. Subsequently, a carboxyl activating aqueous solution

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containing equivoluminal 20 mM EDC and 50 mM NHS was dropped into the

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reservoir, reacted at room temperature for 15 min and rinsed with 100 mM PBS. The

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activation reaction produced stable amine adducts27. Next, the extracted membrane

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protein containing over-expressed TAS2R14 was dissolved in 100 mM PBS (200

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µg/mL) and introduced into the reservoir and incubated at 4 °C for 2 h followed by

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washing.

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XPS were carried out to characterize the immobilization of protein on Au-deposited

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GaAs substrates. XPS spectra were acquired by a K-Alpha XPS system (Thermo

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Fisher Scientific, USA) equipped with a monochromatic Al Kα source and a

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hemispherical electron energy analyzer. Low-resolution full scans (1 eV/step) and

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high-resolution fine scans (0.05 eV/step) of C1s, N1s and S2p were obtained,

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respectively. The software Avantage v5.965 (Thermo Fisher Scientific, USA) were 10

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employed to process XPS data. Verification of Sensitivity and Response Range of TAS2R14-functionalized HEMT To determine the sensitivity and response range of TAS2R14-functionalized

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Sensor

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HEMT sensor, the tests were performed using quinine solution of 11 concentration

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gradients ranging from 0.1 pM to 1 mM as samples, and the HEMT sensor modified

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using membrane protein without over-expressed TAS2R14 was used as negative

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control. Quinine was dissolved with 5% DMSO aqueous solution, which could fully

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dissolve the drug and minimize the damage to the activity of protein. The solvent was

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also used as the blank control throughout the experiment. Three minutes after adding

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drug solution into the reservoir, the measurement process was carried out on the probe

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platform. The drain-source current (IDS) versus voltage (VDS) of the biosensor was

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acquired at room temperature by a CHI-660E Electrochemical Workstation (Huake

227

Putian Technology, Beijing, China). According to previous experience, the biosensor

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would be broken down when VDS exceeded 2 V, so the IDS were measured in the VDS

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scope of 0 to 2 V. Each test was repeated three times at each concentration. The IDS at

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VDS equal to 1 V was selected to calculate the realtive IDS and plot the

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response-concertration corelation.

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Verification of Specificity of TAS2R14-functionalized HEMT Sensor Quine and

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aristolochic acid were two known TAS2R14 agonists22, while D-(-)-salicin and

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denatonium

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TAS2R14-functionalized HEMT sensor was exposed to solutions of these four bitter

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substances at 1 nM individually to further verify its specificity, and the HEMT sensor

benzoate

were

non-agonists8.

In

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modified using membrane protein without over-expressed TAS2R14 was used as

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negative control. All the drugs for test were also dissolved with 5% DMSO aqueous

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solution. After 3 min reaction, IDS versus VDS were recorded in the scope of 0 to 2 V at

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room temperature, and every test was repeated three times. The IDS at VDS equal to 1 V

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was selected to calculate the relative IDS.

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Screening of Potential TAS2R14 Agonists from P. grandiflorum Using Five hundred milligrams air-dried and

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TAS2R14-functionalized HEMT Sensor

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ground roots of P. grandiflorum were extracted by ultrasonic-assisted method with 25

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mL methanol for 30 min. The extracts was filtered and dried in vacuum, then

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redissolved in 25 mL 5% DMSO aqueous solution and filtered through a 0.22 µm

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membrane as the sample.

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Sixty microliters blank solvent and P. grandiflorum extracts sample were injected

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to the reservoir of TAS2R14-functionalized HEMT sensor, respectively, and incubated

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at room temperature for 3 min, followed by scanning the IDS-VDS curve. After

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confirming the effective response derived from the bound ligands, the biosensor was

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washed with 60 µL non-specific eluent agent (100 mM PBS of pH7.4) three times to

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remove any unbound components, and then treated with 60 µL specific eluent agent (1

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µM quinine) for 3 min to release the captured potential TAS2R14 agonists. The

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released components were collected and then applied to UPLC-QTOF MS analysis

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for peak identification.

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UPLC-QTOF MS Analysis and Identification for Potential TAS2R14 Agonists The

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components eluted from the biosensor was analyzed on Agilent 1260 Infinity UPLC 12

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coupled with Agilent 6540 Exact Mass QTOF MS system (Agilent, Santa Clara, CA,

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USA). The column used for separation was an Agilent Zorbax RRHD Ecipse Plus C18

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column (100 × 3.0 mm, 1.8 µm; Agilent, USA), which performed at 40 °C. The

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mobile phase consisted of solvent A (0.5% formic acid in water, v/v) and solvent B

263

(acetonitrile) using a gradient elution program as follows: 30–50% B at 0–5 min. The

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flow rate was kept at 0.4 mL/min. The sample volume injected was set at 2 µL. Mass

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analysis was carried out in negative ESI mode, and the parameters of ion source were

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set as follows: drying gas temperature, 200 °C; drying gas flow rate, 11 L/min;

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nebulizer pressure, 35 psig; sheath gas flow rate, 9 L/min; sheath gas temperature,

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225 °C; capillary voltage, 3 500 V; nozzle voltage, 1,000 V; fragmentor voltage, 380

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V and Oct 1 RF Vpp, 750 V. The acquired mass range was set at m/z 100 – 1,500 Da.

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All other MS parameters were left as default settings. The software Agilent

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MassHunter Qualitative Analysis B07.00 (Agilent, USA) were applied for MS data

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processing. The components identification was conducted through the process of

273

generating molecular formulas on the basis of m/z values of quasi-molecular ions,

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searching reported compounds in the genus of Platycodon and confirming targeted

275

structures. The threshold of mass error was fixed at 3 ppm.

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Evalution for Screened TAS2R14 Agonists by Intracellular Calcium Mobilization

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Assay The intracellular calcium mobilization assay was employed to evaluate the

278

TAS2R14-agonistic activity of those potential agonists. However, due to the

279

unavailability of standard substances of the other four compounds, only platycodin D

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and platycodin L were applied in this assay. The two different drugs were dissolved in 13

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DMSO at 100 mM. And 8 µM aristolochic acid and 0.25% DMSO were used as the

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positive and negative control, respectively. The final concentration of DMSO in each

283

well did not exceed 0.25% for all the tested drugs. The TAS2R14-HEK293 cells were

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seeded into 96-well plates coated with Matrigel at a density of 3.0 × 104/well and

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cultured in 5% CO2 at 37 °C overnight. Before assay, the medium in each well was

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substituted by 100 µL of loading buffer containing 4 µM Ca2+-sensitive Fluo-4 AM

287

dye, 2.5 mM probenecid and 2 mM acid red 1 in HBSS. The plate was then incubated

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in dark for 30 min before detecting the calcium signal. For studying the antagonism,

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80 µL loading buffer was complemented to each well, together with 20 µL HBSS

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containing tested drugs with suitable concentration 10 min before calcium-flux

291

detection. Cells were transferred to a FlexStation Ⅲ (Molecular Devices, San Jose,

292

CA, USA) for fluorescence scanning. Basal fluorescence was scanned for 16 s prior to

293

the agonist was applied. Then the integrated fluidics system of FlexStation Ⅲ

294

transferred 25 µL drug solution from the drug plate to assay plate, which contained

295

100 µL of loading buffer. The relative fluorescence units (RFU) were recorded at

296

37 °C at an excitation wavelength of 485 nm and emission wavelength of 525 nm,

297

every 2 s for 100 s. At last, the EC50 value was calculated by RFU. Each data

298

represents the mean ± standard deviation in six replicates.

299

A specificity assay was performed to eliminate the false positive results in activity

300

evaluation. If a drug exhibited equivalent ability to induce intracellular calcium-influx

301

in both HEK293 cells and TAS2R14-HEK293 cells, it would be thought as the false

302

positive. Herein, HEK293 cells were treated with platycodin D and platycodin L of 14

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various concentrations to observe whether they could induce calcium-influx. The

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positive and negative controls were same as to the above assay.

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Statistical Tests

All data acquired in performance characterization of biosensor

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and intracellular calcium mobilization assay were processed using one-way analysis

307

of variance (ANOVA) followed by Student’s t-test to find the differences between

308

group means in GraphPad Prism v7.0 (GraphPad Software, La Jolla, CA, USA); p