Real-Time Quantitative Measurement of Autocrine Ligand Binding Indicates That Autocrine Loops Are Spatially Localized

Total Page:16

File Type:pdf, Size:1020Kb

Real-Time Quantitative Measurement of Autocrine Ligand Binding Indicates That Autocrine Loops Are Spatially Localized Proc. Natl. Acad. Sci. USA Vol. 95, pp. 15368–15373, December 1998 Cell Biology Real-time quantitative measurement of autocrine ligand binding indicates that autocrine loops are spatially localized DOUGLAS A. LAUFFENBURGER*†‡,GREGORY T. OEHRTMAN†,LAURA WALKER†, AND H. STEVEN WILEY§ *Division of Bioengineering & Environmental Health and Center for Biomedical Engineering and †Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; and §Department of Pathology, University of Utah Medical Center, Salt Lake City, UT 84132 Communicated by Edwin N. Lightfoot, Jr., University of Wisconsin, Madison, WI, October 15, 1998 (received for review July 21, 1998) ABSTRACT Autocrine ligands are important regulators rapid (,30 sec) and small (,0.1 unit) changes in solution pH of many normal tissues and have been implicated in a number in the cellular microenvironment in an '1 ml chamber above of disease states, including cancer. However, because by the sensor. These pH changes [termed ‘‘extracellular acidifi- definition autocrine ligands are synthesized, secreted, and cation rate’’ (ECAR)] can arise from both metabolic and bound to cell receptors within an intrinsically self-contained regulatory events and have been shown to be quantitatively ‘‘loop,’’ standard pharmacological approaches cannot be used related to specific activation of many types of cell receptors, to investigate relationships between ligandyreceptor binding including tyrosine kinase receptors, G protein receptors, and and consequent cellular responses. We demonstrate here a ion channel receptors (16) with EC50 values similar to those new approach for measurement of autocrine ligand binding to derived from direct-labeled ligand binding (17). Hence, for cells, using a microphysiometer assay originally developed for exogenous ligands the microphysiometer can be used to obtain investigating cell responses to exogenous ligands. This tech- real-time, kinetic measurements of receptor binding once a nique permits quantitative measurements of autocrine re- calibration curve has been generated relating ECAR data to sponses on the time scale of receptor binding and internal- labeled ligandyreceptor-binding data. This has proven of spe- ization, thus allowing investigation of the role of receptor cial value for high-throughput screening of pharmacological trafficking and dynamics in cellular responses. We used this compounds. technique to investigate autocrine signaling through the epi- Because the quantitative relationship between ECAR and dermal growth factor receptor by transforming growth factor ligandyreceptor binding should be identical regardless of alpha (TGFa) and found that anti-receptor antibodies are far whether the particular ligand is added exogenously or is more effective than anti-ligand antibodies in inhibiting auto- self-produced in an autocrine fashion, we reasoned that we crine signaling. This result indicates that autocrine-based could adapt the microphysiometer to permit real-time quan- signals can operate in a spatially restricted, local manner and titative determination of autocrine ligand binding in an anal- thus provide cells with information on their local microenvi- ogous manner. We demonstrate here this new methodology by ronment. calibrating ligandyreceptor binding to ECAR and establishing key dose–response relationships. As an example of the utility Awareness of the crucial role that autocrine ligands play in of this approach, we test a theoretical prediction of the tissue physiology and pathology is increasing across a wide comparative effectiveness of anti-receptor (‘‘blocker’’) versus spectrum of fields including embryonic and tissue develop- anti-ligand (‘‘decoy’’) antibodies in interrupting autocrine ment, immunology, cancer, angiogenesis, dermatology, neu- signaling. roscience, and biotechnology (1–8). The concept of autocrine ligandyreceptor cell signaling was introduced almost two de- MATERIALS AND METHODS cades ago (9), and a range of physiological and pathological Materials. Parental B82 mouse fibroblasts lacking epider- situations are now known to be regulated by self-secreted mal growth factor receptor (EGFR) and EGFR-expressing factors (10). Unfortunately, understanding how autocrine sys- B82 cells were a gift from Gordon Gill (University of Cali- tems work is severely limited by an inability to construct fornia, San Diego). Use of the tetracycline-controlled two- something as simple and fundamental to receptor biology as a plasmid system (20) to create the transforming growth factor dose–response curve for ligandyreceptor binding. This is due alpha (TGFa) autocrine cell system has been described by to the recursive nature of autocrine signaling and the difficulty Oehrtman et al. (18). The constructed cell lines relevant to the of selectively labeling autocrine ligands. Without being able to present work are denoted as R1yL2 (B82 cells with EGFR) quantify relationships between ligand production and receptor and R1yL1 (B82 cells with EGFR and TGFa). The R1yL1 binding, interpreting cell behavioral changes after a molecular cells can express TGFa at a range of levels depending on the intervention remains ambiguous. Current methodologies for medium concentration of the suppresser tetracycline (18). analyzing autocrine signaling are indirect, but whether they are Dialyzed bovine calf serum (10,000 M -cutoff dialyzed measuring end-point cell functions such as migration, prolif- r against 0.15 M NaCl), DMEM, methotrexate, geneticin sulfate eration, or differentiation (e.g., see refs. 11–13) or short-term (G418), histidinol, BSA fraction IV (RIA grade), glutamine, receptor activation events such as phosphorylation (e.g., see penicillin, and streptomycin were purchased from Sigma. refs. 14, 15), they are laborious and time-consuming— Hybridoma producing mAb 225 were obtained from the therefore not ‘‘real-time’’—and are only poorly quantitative at American Type Culture Collection and the antibodies pro- best. duced as described by Opresko et al. (34). Goat anti-TGFa The Cytosensor microphysiometer (Molecular Devices) (16, antibody was obtained fromR&DSystems. Rabbit IgG was 17) uses a light-addressable potentiometric sensor to measure obtained from Sigma. Both anti-EGFR blocking antibody 225 and anti-TGFa antibody bind to EGFR and TGFa, respec- The publication costs of this article were defrayed in part by page charge payment. This article must therefore be hereby marked ‘‘advertisement’’ in Abbreviations: EGFR, epidermal growth factor receptor; ECAR, accordance with 18 U.S.C. §1734 solely to indicate this fact. extracellular acidification rate. © 1998 by The National Academy of Sciences 0027-8424y98y9515368-6$2.00y0 ‡To whom reprint requests should be addressed. e-mail: lauffen@ PNAS is available online at www.pnas.org. mit.edu. 15368 Downloaded by guest on September 27, 2021 Cell Biology: Lauffenburger et al. Proc. Natl. Acad. Sci. USA 95 (1998) 15369 ay y tively, with affinity comparable with TGF EGFR binding mM CaCl2 20 mM Hepes). Bound ligand was determined by 5 (Kd 2 nM) (27). lysing cells with 1 M NaOH for 10 min and counting in a R1yL2 cells were grown in DMEM with 1 mM glutamine, gamma spectrophotometer. Free ligand concentration was 100 unitsyml penicillin, and 2.5 mgyml streptomycin along with determined by counting an aliquot of the binding medium. 10% dialyzed bovine calf serum and 1 mM methotrexate to maintain selection on the EGFR expression plasmid pXER RESULTS AND DISCUSSION (19). R1yL1 cells were grown in DMEM with 10% dialyzed bovine calf serum, 1 mM glutamine, 100 unitsyml penicillin, For our experimental autocrine cell system, we used a B82 and 2.5 mgyml streptomycin along with maintaining plasmid mouse fibroblast cell line in which we have created an artificial selection with 600 mgyml G418 (pUHD15.1), 2,400 mM his- autocrine loop consisting of TGFa and EGFR (18). These cells tidinol (pUHD10.3 and pR8), and 1 mM methotrexate do not normally express EGFR or its ligands (TGFa or EGF). (pXER). After expression of EGFR in B82 cells by transfection, there Microphysiometer Assay. Cells (250,000) were seeded into is no significant activation of the receptor in the absence of each Cytosensor transwell (Corning Transwell #3402; 3 mm exogenous EGF ligands (19). TGFa expression is under con- pore size, 12 mm diameter) in the appropriate growth medium. trol of the ‘‘tetracycline-off’’ two-plasmid system (20) permit- Twenty-four hours later, cell-transwell assemblies were pre- ting quantitative manipulation of the level of autocrine ligand pared for placement on the Cytosensor by inserting a spacer production. We have previously shown that in these cells, (50 mm high, 6 mm inner diameter; #R7026B, Molecular TGFa is expressed in its normal manner as a transmembrane Devices) into the transwell medium directly over the cells precursor, and is efficiently processed at the plasma membrane followed by a transwell insert (3 mm pore size; #R7025, to yield almost exclusively the 5.5-kDa soluble form (18). Molecular Devices), fitting flush inside the original transwell Clones transfected with both EGFR and TGFa (therefore, and the addition of 1 ml of running buffer to each insert cup autocrine clones) were designated R1yL1. They were fully to seat the insert into the transwell. The cell-transwell assem- induced for ligand production in the absence of tetracycline blies were then placed in Cytosensor silicon sensor chambers and uninduced in the presence of 1 mgyml tetracycline. Control and equilibrated for 2–3
Recommended publications
  • Affinity-Based, Biophysical Methods to Detect and Analyze Ligand Binding
    Journal of Structural Biology 172 (2010) 142–157 Contents lists available at ScienceDirect Journal of Structural Biology journal homepage: www.elsevier.com/locate/yjsbi Affinity-based, biophysical methods to detect and analyze ligand binding to recombinant proteins: Matching high information content with high throughput Geoff A. Holdgate a, Malcolm Anderson a, Fredrik Edfeldt b, Stefan Geschwindner b,* a Lead Generation Sciences, AstraZeneca R&D Alderley Park, 50F49 Mereside, Alderley Park, United Kingdom b Lead Generation Sciences, AstraZeneca R&D Mölndal, S-43183 Mölndal, Sweden article info abstract Article history: Affinity-based technologies have become impactful tools to detect, monitor and characterize molecular Available online 4 July 2010 interactions using recombinant target proteins. This can aid the understanding of biological function by revealing mechanistic details, and even more importantly, enables the identification of new improved Keywords: ligands that can modulate the biological activity of those targets in a desired fashion. The selection of the Affinity appropriate technology is a key step in that process, as each one of the currently available technologies Thermodynamic offers a characteristic type of biophysical information about the ligand-binding event. Alongside the Interaction indisputable advantages of each of those technologies they naturally display diverse restrictions that Fragment are quite frequently related to the target system to be studied but also to the affinity, solubility and Ligand Screening molecular size of the ligands. This paper discusses some of the theoretical and experimental aspects of the most common affinity-based methods, what type of information can be gained from each one of those approaches, and what requirements as well as limitations are expected from working with recombinant proteins on those platforms and how those can be optimally addressed.
    [Show full text]
  • Recommendations for the Bioanalytical Method Validation Of
    Pharmaceutical Research, Vol. 20, No. 11, November 2003 (© 2003) Research Paper Recommendations for the studies was held more than a decade ago in Crystal City, VA (1,2). The proceedings and recommendations of that meeting Bioanalytical Method Validation of essentially became a de facto guideline for bioanalytical meth- Ligand-binding Assays to Support ods validation within the pharmaceutical industry. The con- ference addressed validation of bioanalytical methods in gen- Pharmacokinetic Assessments eral, but acknowledged differences between chromatographic of Macromolecules and nonchromatographic assays, including immunoassays and microbiological-based methods. After the original Crystal City conference, bioanalytical methods validation was ad- dressed subsequently several times at meetings and in publi- Binodh DeSilva,1 Wendell Smith,2 Russell Weiner,3 cations (3–6). Most emphasis to date has been on validation of Marian Kelley,4,11 JoMarie Smolec,5 Ben Lee,6 bioanalytical methods for conventional small molecular Masood Khan,7 Richard Tacey,8 Howard Hill,9 and weight drugs, principally due to the rapid growth during the Abbie Celniker10 1990s in the use of hyphenated mass-spectrometry as a rou- tine analytical tool. Because of the evolution in divergent analytical tech- Received July 2, 2003; accepted July 30, 2003 nologies for conventional small molecules and macromol- Purpose. With this publication a subcommittee of the AAPS Ligand ecules and the growth in the interest of macromolecular Binding Assay Bioanalytical Focus Group (LBABFG) makes recom- therapeutics, the topic of bioanalytical methods validation mendations for the development, validation, and implementation of was revisited in 2000 in 2 meetings, one focused on small ligand binding assays (LBAs) that are intended to support pharma- molecule analytes (7) and the other focused on macromol- cokinetic and toxicokinetic assessments of macromolecules.
    [Show full text]
  • Simple, Rapid Ligand-Binding Assay Using Immobilized Cellular Membranes
    Simple, Rapid Ligand-Binding Assay Using Immobilized Cellular Membranes Paula Denney Eason, Renée C. Benson, Jenny T. Ly, Rachel A. Saxer, James L. Wilbur, George B. Sigal, Eli N. Glezer, Hans A. Biebuyck, Jacob N. Wohlstadter, and Robert M. Umek TM TM A division of Meso Scale Diagnostics,TM LLC. Simple, Rapid Ligand-Binding Assay Using Immobilized Cellular Membranes Abstract This poster presents a robust, receptor-ligand binding assay based upon a novel assay platform developed by Meso Scale DiscoveryTM (MSDTM). MSD’s platform combines array technologies and electrochemiluminescence detection to achieve ultra-fast, highly sensitive assays in a homogeneous format. Cellular membranes containing the EGF receptor were passively adsorbed to MSD proprietary coated electrodes embedded in multi-well plates. Binding of EGF to the EGF receptor was detected by inducing and measuring electrochemi- luminescence from a labeled EGF ligand. Approximately 1000 cell equivalents per well yielded a signal to background ratio of 20. The observed KD agrees with that reported in the literature and demonstrates that immobilization of the membranes and modification of the ligand do not alter the binding affinity. Binding specificity was confirmed with two inhibitors. The assay can be readily adapted to facilitate analysis of a broad array of receptor-ligand interactions. TM TM A division of Meso Scale Diagnostics,TM LLC. Simple, Rapid Ligand-Binding Assay Using Immobilized Cellular Membranes TM Multi-Array TechnologyTM Multi-Array Technology Unified technology platform with instruments, plates and reagents for drug discovery for drug discovery. Combines the power of microarrays with the sensitivity of electrochemiluminescence Combines the power of microarrays with the sensitivity of electrochemiluminescence.96-, 384- and 1536 microplate formats 96-,Multi-Spot 384- TMand plates 1536 with microplate high density formats.
    [Show full text]
  • Pharmacokinetic-Pharmacodynamic Modelling of Systemic IL13 Blockade by Monoclonal Antibody Therapy: a Free Assay Disguised As Total
    pharmaceutics Article Pharmacokinetic-Pharmacodynamic Modelling of Systemic IL13 Blockade by Monoclonal Antibody Therapy: A Free Assay Disguised as Total John Hood 1,*, Ignacio González-García 1 , Nicholas White 1, Leeron Marshall 1,2, Vincent F. S. Dubois 1 , Paolo Vicini 1,3 and Paul G. Baverel 1,4 1 Clinical Pharmacology and Quantitative Pharmacology, AstraZeneca, Cambridge CB21 6GH, UK; [email protected] (I.G.-G.); [email protected] (N.W.); [email protected] (L.M.); [email protected] (V.F.S.D.); [email protected] (P.V.); [email protected] (P.G.B.) 2 Salford Royal Foundation Trust, Salford M6 8HD, UK 3 Confo Therapeutics, 9052 Ghent, Zwijnaarde, Belgium 4 Roche Pharma Research and Early Development, Clinical Pharmacology, Pharmaceutical Sciences, Roche Innovation Center Basel F. Hoffmann-La Roche Ltd., CH-4070 Basel, Switzerland * Correspondence: [email protected]; Tel.: +44-1223-749-6288 Abstract: A sequential pharmacokinetic (PK) and pharmacodynamic (PD) model was built with Nonlinear Mixed Effects Modelling based on data from a first-in-human trial of a novel biologic, MEDI7836. MEDI7836 is a human immunoglobulin G1 lambda (IgG1λ-YTE) monoclonal antibody, Citation: Hood, J.; González-García, with an Fc modification to reduce metabolic clearance. MEDI7836 specifically binds to, and function- I.; White, N.; Marshall, L.; Dubois, ally neutralizes interleukin-13. Thirty-two healthy male adults were enrolled into a dose-escalation V.F.S.; Vicini, P.; Baverel, P.G. clinical trial. Four active doses were tested (30, 105, 300, and 600 mg) with 6 volunteers enrolled Pharmacokinetic-Pharmacodynamic per cohort. Eight volunteers received placebo as control.
    [Show full text]
  • A Live Cell Nanobret Binding Assay Allows the Study of Ligand-Binding Kinetics to the Adenosine A3 Receptor
    Purinergic Signalling https://doi.org/10.1007/s11302-019-09650-9 ORIGINAL ARTICLE A live cell NanoBRET binding assay allows the study of ligand-binding kinetics to the adenosine A3 receptor Monica Bouzo-Lorenzo1,2 & Leigh A. Stoddart 1,2 & Lizi Xia3 & Adriaan P. IJzerman3 & Laura H. Heitman 3 & Stephen J. Briddon1,2 & Stephen J. Hill1,2 Received: 25 November 2018 /Accepted: 14 February 2019 # The Author(s) 2019 Abstract There is a growing interest in understanding the binding kinetics of compounds that bind to G protein-coupled receptors prior to progressing a lead compound into clinical trials. The widely expressed adenosine A3 receptor (A3AR) has been implicated in a range of diseases including immune conditions, and compounds that aim to selectively target this receptor are currently under development for arthritis. Kinetic studies at the A3AR have been performed using a radiolabelled antagonist, but due to the kinetics of this probe, they have been carried out at 10 °C in membrane preparations. In this study, we have developed a live cell NanoBRET ligand binding assay using fluorescent A3AR antagonists to measure kinetic parameters of labelled and unlabelled compounds at the A3AR at physiological temperatures. The kinetic profiles of four fluorescent antagonists were determined in kinetic association assays, and it was found that XAC-ser-tyr-X-BY630 had the longest residence time (RT = 288 ± 62 min) at the A3AR. The association and dissociation rate constants of three antagonists PSB-11, compound 5, and LUF7565 were also determined using two fluorescent ligands (XAC-ser- tyr-X-BY630 or AV039, RT = 6.8 ± 0.8 min) as the labelled probe and compared to those obtained using a radiolabelled antagonist ([3H]PSB-11, RT = 44.6 ± 3.9 min).
    [Show full text]
  • White Paper Recommendations for the Development and Validation Of
    The AAPS Journal ( # 2017) DOI: 10.1208/s12248-017-0181-6 White Paper Recommendations for the Development and Validation of Neutralizing Antibody Assays in Support of Biosimilar Assessment D. Gouty,1,16 C. C. Cai,2 X. Y. Cai,3 A. Kasinath,4 V. Kumar,5 S. Alvandkouhi,6 J. Yang,7 S. Pederson,8 B. Babbitt,2 D. Peritt,9 A. Rudy,10 V. Koppenburg,11 A. Dasilva,12 M. Ullmann,13 S. Liu,14 and C. Satterwhite15 Received 23 May 2017; accepted 21 November 2017 Abstract. The American Association of Pharmaceutical Scientists (AAPS) biosimilar focus group on nonclinical and clinical assays has developed this manuscript to guide the industry on best practices and testing strategies when developing neutralizing antibody (NAb) assays for biosimilar programs. The immunogenicity assessment to biosimilar and originator drug products is one of the key aspects of clinical programs for biosimilars to demonstrate biosimilarity. Establishing that there are no clinically meaningful differences in immune response between a proposed product and the originator product is a key element in the demonstration of biosimilarity. It is critical to collect, evaluate, and compare the safety and immunogenicity data from the clinical pharmacology, safety, and/or efficacy studies especially when the originator drug product is known to have potential for immune-mediated toxicity. This manuscript aims to provide a comprehensive review and recommendations on assay formats, critical reagents, approaches to method development, and validation of the neutralizing antibody assays in extrapolation within the scope of biosimilar drug development programs. Even if there are multiple options on the development and validation of NAb assays for biosimilar programs, the type of drug and its MoA will help determine the assay format and technical platform for NAb assessment (e.g., cell-based or non-cell-based assay).
    [Show full text]
  • Directed Evolution of a G Protein-Coupled Receptor for Expression, Stability, and Binding Selectivity
    Directed evolution of a G protein-coupled receptor for expression, stability, and binding selectivity Casim A. Sarkar*†‡, Igor Dodevski*†, Manca Kenig*§, Stefan Dudli*, Anja Mohr*, Emmanuel Hermans¶, and Andreas Plu¨ckthun*ʈ *Biochemisches Institut, Universita¨t Zu¨ rich, Winterthurerstrasse 190, CH-8057 Zu¨rich, Switzerland; and ¶Laboratoire de Pharmacologie Expe´rimentale, Universite´catholique de Louvain, Avenue Hippocrate 54.10, B-1200 Bruxelles, Belgium. Edited by William F. DeGrado, University of Pennsylvania, Philadelphia, PA, and approved July 18, 2008 (received for review April 1, 2008) We outline a powerful method for the directed evolution of sequence of a GPCR, keeping all other variables constant, to integral membrane proteins in the inner membrane of Escherichia yield more functionally expressed protein in a convenient het- coli. For a mammalian G protein-coupled receptor, we arrived at a erologous host, Escherichia coli. We used as a model system the sequence with an order-of-magnitude increase in functional ex- rat neurotensin receptor-1 (NTR1), which has been shown to pression that still retains the biochemical properties of wild type. give a detectable yield in E. coli (10, 11) but which still needs to This mutant also shows enhanced heterologous expression in be improved to allow more convenient preparation of milligram eukaryotes (12-fold in Pichia pastoris and 3-fold in HEK293T cells) quantities of receptor. and greater stability when solubilized and purified, indicating that Detailed characterization of the best variant from the selec- the biophysical properties of the protein had been under the tion reported here reveals that it exhibits an order-of-magnitude pressure of selection.
    [Show full text]
  • Quality Controls in Ligand Binding Assays: Recommendations And
    The AAPS Journal (2019) 21: 89 DOI: 10.1208/s12248-019-0354-6 White Paper Quality Controls in Ligand Binding Assays: Recommendations and Best Practices for Preparation, Qualification, Maintenance of Lot to Lot Consistency, and Prevention of Assay Drift Mitra Azadeh,1,6 Perceval Sondag,2 Ying Wang,3 Maribeth Raines,4 and Jeffrey Sailstad5 Received 25 April 2019; accepted 6 June 2019; published online 11 July 2019 Abstract. Quality controls (QCs) are the primary indices of assay performance and an important tool in assay lifecycle management. Inclusion of QCs in the testing process allows for the detection of system errors and ongoing assessment of the reliability of the assay. Changes in the performance of QCs are indicative of changes in the assay behavior caused by unintended alterations to reagents or to the operating conditions. The focus of this publication is management of QC life cycle. A consensus view of the ligand binding assay (LBA) community on the best practices for factors that are critical to QC life cycle management including QC preparation, qualification, and trending is presented here. KEY WORDS: LBA; life cycle management; qualification; quality control; trending. INTRODUCTION statistical tools to trend QCs, a practice that is of paramount importance to monitoring performance and managing the life The performance of a ligand binding assay is manifested cycle of quality controls. in the performance of its quality controls during pre-study This publication aims to fill in the gap by providing method validation and in-study sample analysis. Successful guidelines for the management of LBA QC life cycle and its management of QC life cycle requires rigorous and components including recommendations and best practices established methodologies for preparation, qualification as for QC preparation, qualification, and performance trending.
    [Show full text]
  • Analytical Considerations for Ligand Binding Assay Regression Curves and Quality Control Samples
    American Journal of Immunology, 2012, 8 (3), 71-77 ISSN 1553-619X ©2012 Science Publication doi:10.3844/ajisp.2012.71.77 Published Online 8 (3) 2012 (http://www.thescipub.com/aji.toc) Biomarker Quantitation: Analytical Considerations for Ligand Binding Assay Regression Curves and Quality Control Samples Mark Dysinger Pfizer Global Research and Development, Eastern Point Road, Groton CT, 06340, USA Received 2012-08-02, Revised 2012-08-17; Accepted 2012-08-25 ABSTRACT As biomarkers grow in relevance for both the design and support of therapeutics and the clinical trials associated with them, there is an ever increasing need for accurate quantitation of these biochemical entities in biological matrices. While quantifying many biotherapeutics via ligand binding assay platforms can be fairly straightforward, biomarkers present some unique challenges that must be taken into account during assay development, validation and subsequent sample analysis. These challenges can be especially confounded by the relationship between two ligand binding assay tools: The regression curve and quality control samples. Due diligence must be performed to develop an assay that takes into account matrix vs. buffer effects and endogenous biomarker presence. Lack of diligence in these areas can lead to less than reliable results, thus potentially rendering the intended use of the assay moot. Keywords: Biomarker, Ligand Binding Assay, Regression Curve, Quality Control 1. INTRODUCTION adequately assess biomarker concentrations in various matrices. Many of these fall into the ligand binding assay Biomarkers play an important role in the category (Sittampalam et al ., 1997; Jong et al ., 2005), development of therapeutics. By up-regulating or down- specifically the microtiter variety.
    [Show full text]
  • Harnessing the Anti-Nociceptive Potential of NK2 and NK3 Ligands in the Design of New Multifunctional Μ/Δ-Opioid Agonist–Neurokinin Antagonist Peptidomimetics
    molecules Article Harnessing the Anti-Nociceptive Potential of NK2 and NK3 Ligands in the Design of New Multifunctional µ/δ-Opioid Agonist–Neurokinin Antagonist Peptidomimetics Charlène Gadais 1,2,* , Justyna Piekielna-Ciesielska 3, Jolien De Neve 1, Charlotte Martin 1, Anna Janecka 3 and Steven Ballet 1,* 1 Research Group of Organic Chemistry, Departments of Bioengineering Sciences and Chemistry, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium; [email protected] (J.D.N.); [email protected] (C.M.) 2 Institut des Sciences Chimiques de Rennes, Equipe CORINT, UMR 6226, Université de Rennes 1, 2 Avenue du Pr. Léon Bernard, CEDEX, 35043 Rennes, France 3 Department of Biomolecular Chemistry, Faculty of Medicine, Medical University of Lodz, 92-215 Lodz, Poland; [email protected] (J.P.-C.); [email protected] (A.J.) * Correspondence: [email protected] (C.G.); [email protected] (S.B.); Tel.: +32-2-6293-292 (S.B.) Abstract: Opioid agonists are well-established analgesics, widely prescribed for acute but also chronic pain. However, their efficiency comes with the price of drastically impacting side effects that are inherently linked to their prolonged use. To answer these liabilities, designed multiple Citation: Gadais, C.; ligands (DMLs) offer a promising strategy by co-targeting opioid and non-opioid signaling pathways Piekielna-Ciesielska, J.; De Neve, J.; involved in nociception. Despite being intimately linked to the Substance P (SP)/neurokinin 1 (NK1) Martin, C.; Janecka, A.; Ballet, S. system, which is broadly examined for pain treatment, the neurokinin receptors NK2 and NK3 have Harnessing the Anti-Nociceptive so far been neglected in such DMLs.
    [Show full text]
  • Crystal Structure of Dopamine Receptor D4 Bound to the Subtype Selective Ligand, L745870 Ye Zhou1,2, Can Cao1, Lingli He1, Xianping Wang1, Xuejun Cai Zhang1,2*
    RESEARCH ARTICLE Crystal structure of dopamine receptor D4 bound to the subtype selective ligand, L745870 Ye Zhou1,2, Can Cao1, Lingli He1, Xianping Wang1, Xuejun Cai Zhang1,2* 1National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; 2University of Chinese Academy of Sciences, Beijing, China Abstract Multiple subtypes of dopamine receptors within the GPCR superfamily regulate neurological processes through various downstream signaling pathways. A crucial question about the dopamine receptor family is what structural features determine the subtype-selectivity of potential drugs. Here, we report the 3.5-angstrom crystal structure of mouse dopamine receptor D4 (DRD4) complexed with a subtype-selective antagonist, L745870. Our structure reveals a secondary binding pocket extended from the orthosteric ligand-binding pocket to a DRD4-specific crevice located between transmembrane helices 2 and 3. Additional mutagenesis studies suggest that the antagonist L745870 prevents DRD4 activation by blocking the relative movement between transmembrane helices 2 and 3. These results expand our knowledge of the molecular basis for the physiological functions of DRD4 and assist new drug design. Introduction Dopamine and its receptors play fundamental roles in controlling neurological processes including motor control, cognition, learning, and emotions (Beaulieu and Gainetdinov, 2011). Dopaminergic *For correspondence: dysfunction is associated with the
    [Show full text]
  • Analytical Methods for the Detection and Quantification of Adcs in Biological Matrices
    pharmaceuticals Review Analytical Methods for the Detection and Quantification of ADCs in Biological Matrices Héloïse Cahuzac and Laurent Devel * Département Médicaments et Technologies pour la Santé (MTS), CEA, INRAE, SIMoS, Université Paris-Saclay, 91191 Gif-sur-Yvette, France; [email protected] * Correspondence: [email protected]; Tel.: +33-1-69-08-95-65 Received: 8 October 2020; Accepted: 11 December 2020; Published: 14 December 2020 Abstract: Understanding pharmacokinetics and biodistribution of antibody–drug conjugates (ADCs) is a one of the critical steps enabling their successful development and optimization. Their complex structure combining large and small molecule characteristics brought out multiple bioanalytical methods to decipher the behavior and fate of both components in vivo. In this respect, these methods must provide insights into different key elements including half-life and blood stability of the construct, premature release of the drug, whole-body biodistribution, and amount of the drug accumulated within the targeted pathological tissues, all of them being directly related to efficacy and safety of the ADC. In this review, we will focus on the main strategies enabling to quantify and characterize ADCs in biological matrices and discuss their associated technical challenges and current limitations. Keywords: antibody–drug conjugates; pharmacokinetics and biodistribution; liquid chromatography coupled to mass spectrometry; ligand-binding assays; in vivo imaging; ex vivo autoradiography 1. Introduction Antibody–drug conjugates (ADCs) consist of a small-molecule drug (payload) covalently bound to a monoclonal antibody via a chemical linker. By merging the specific binding properties of antibodies to the potency of small molecules, ADCs are designed to selectively deliver cell-killing agents to targeted pathogenic tissues, while limiting systemic toxicity.
    [Show full text]