Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): LCMS-based cell-based Activity-Based Protein Profiling (ABPP) SILAC selectivity analysis - BioAssay Summary
Name: Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): LCMS-based cell-based Activity-Based Protein Profiling (ABPP) SILAC selectivity analysis. ..more
Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): fluorescence-based dose-response biochemical gel-based competitive Activity-Based Protein Profiling (ABPP) inhibition of antitarget ABHD6 in vitro, set 2
Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): fluorescence-based biochemical gel-based competitive Activity-Based Protein Profiling (ABPP) inhibition of mouse liver ABHD6 in vivo upon oral compound administration
Assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): LC/MS-based biochemical inhibition of overexpressed DAGLb substrate turnover in vitro
Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): LCMS-based biochemical dose response assay
Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): fluorescence-based biochemical gel-based competitive Activity-Based Protein Profiling (ABPP) inhibition of DAGLb by enantiomers of KT116
Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): fluorescence-based biochemical gel-based competitive Activity-Based Protein Profiling (ABPP) inhibition of recombinant antitarget DAGLa in vitro
Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): fluorescence-based biochemical gel-based competitive Activity-Based Protein Profiling (ABPP) inhibition of mouse liver ABHD6 in vivo
Source (MLPCN Center Name): The Scripps Research Institute Molecular Screening Center (SRIMSC) Affiliation: The Scripps Research Institute, TSRI Assay Provider: Benjamin Cravatt, The Scripps Research Institute (TSRI) Network: Molecular Library Probe Production Centers Network (MLPCN) Grant Proposal Number: 1 R01 DA025285 Grant Proposal PI: Benjamin Cravatt, The Scripps Research Institute (TSRI) External Assay ID: DAGLB_INH_LCMS_ABPPSILAC
Name: Late stage assay provider results from the probe development effort to identify inhibitors of diacylglycerol lipase, beta (DAGLb): LCMS-based cell-based Activity-Based Protein Profiling (ABPP) SILAC selectivity analysis.
Description:
Endocannabinoids (ECs) represent a unique group of lipids that function as chemical messengers in the nervous system. To date, the two principle ECs identified in mammals are N-arachidonoyl-ethanolamine (anandamide) and 2-arachidonoyl-glycerol (2-AG). They have been implicated in various physiological and pathological functions including appetite, pain, sensation, memory, and addiction (1). Unlike traditional neurotransmitters, which are stored in vesicles, ECs are synthesized and released on demand, and then rapidly degraded to terminate signaling. Thus, the metabolic pathways that govern EC turnover are critical in determining the magnitude and duration of neuronal signaling events (2). Endocannabinoid biosynthesis, in contrast to degradation, is poorly understood. Recently, two serine hydrolases, DAGL-a and -B, were cloned and found to selectively cleave sn-1 acyl chains from diacylglycerols (DAG) to generate 2-AG in vitro (3). Their function in the nervous system was validated in vivo by the generation of DAGL-a and -B knock-out mice (4, 5). However, it is still unclear to what extent DAGL-a/B catalytic activity contributes to 2-AG-mediated signaling. The development of potent and selective inhibitors would offer a means to perturb DAGL-a/B activity in a selective, reversible, and temporally-controlled manner. Given the non-selective nature of current DAGL-a/B inhibitors (6), specific chemical probes would serve as invaluable tools to delineate DAGL-a/B function in 2-AG signaling networks of the brain.
References:
1. Di Marzo, V. (2008) Targeting the endocannabinoid system: to enhance or reduce?, Nat Rev Drug Discov 7, 438-455. 2. Ahn, K., McKinney, M. K., and Cravatt, B. F. (2008) Enzymatic pathways that regulate endocannabinoid signaling in the nervous system, Chem Rev 108, 1687-1707. 3. Bisogno, T., Howell, F., Williams, G., Minassi, A., Cascio, M. G., Ligresti, A., Matias, I., Schiano-Moriello, A., Paul, P., Williams, E. J., Gangadharan, U., Hobbs, C., Di Marzo, V., and Doherty, P. (2003) Cloning of the first sn1-DAG lipases points to the spatial and temporal regulation of endocannabinoid signaling in the brain, J Cell Biol 163, 463-468. 4. Gao, Y., Vasilyev, D. V., Goncalves, M. B., Howell, F. V., Hobbs, C., Reisenberg, M., Shen, R., Zhang, M. Y., Strassle, B. W., Lu, P., Mark, L., Piesla, M. J., Deng, K., Kouranova, E. V., Ring, R. H., Whiteside, G. T., Bates, B., Walsh, F. S., Williams, G., Pangalos, M. N., Samad, T. A., and Doherty, P. (2010) Loss of Retrograde Endocannabinoid Signaling and Reduced Adult Neurogenesis in Diacylglycerol Lipase Knock-out Mice, J Neurosci 30, 2017-2024. 5. Tanimura, A., Yamazaki, M., Hashimotodani, Y., Uchigashima, M., Kawata, S., Abe, M., Kita, Y., Hashimoto, K., Shimizu, T., Watanabe, M., Sakimura, K., and Kano, M. (2010) The Endocannabinoid 2-Arachidonoylglycerol Produced by Diacylglycerol Lipase +/- Mediates Retrograde Suppression of Synaptic Transmission, Neuron 65, 320-327. 6. Hoover, H. S., Blankman, J. L., Niessen, S., and Cravatt, B. F. (2008) Selectivity of inhibitors of endocannabinoid biosynthesis evaluated by activity-based protein profiling, Bioorganic & Medicinal Chemistry Letters 18, 5838-5841.
Keywords:
late stage, late stage AID, assay provider, powders, counterscreen, diacylglycerol lipase, diacylglycerol lipase-beta, DAGL, DAGL-beta, DAGLB, hydrolase, serine hydrolase, appetite, pain, sensation, memory, addiction, liquid chromatography, LC, tandem mass spectrometry, MS/MS, activity-based protein profiling, ABPP, stable isotope labeling with amino acids in cell culture, SILAC, ABPP-SILAC, inhibitor, inhibition, fluorophosphonate-biotin, FP-biotin, in situ, Neuro-2A, Scripps, Scripps Research Institute Molecular Screening Center, SRIMSC, Molecular Libraries Probe Production Centers Network, MLPCN
The purpose of this assay is to determine the selectivity profile of powder samples of test compounds using activity-based protein profiling (ABPP) in combination with stable isotope labeling with amino acids in cell culture (SILAC). In this assay, cultured Neuro-2A cells are metabolically labeled with heavy or light amino acids. Heavy and light cells are treated with test compound and DMSO, respectively, in situ. Cells are lysed, proteomes are treated with the serine-hydrolase-specific activity-based fluorophosphonate-biotin (FP-biotin) affinity probe, and combined in a 1:1 (w/w) ratio. Biotinylated proteins are enriched, trypsinized, and analyzed by multi-dimensional liquid chromatography tandem mass spectrometery LC/LC-MS/MS (MudPIT). Inhibition of target and anti-target activity is quantified by comparing intensities of light and heavy peptide peaks. As designed, compounds that act as inhibitors will block FP-biotin labeling, reducing enrichment in the inhibitor-treated (heavy) sample relative to the DMSO-treated (light) sample, giving a smaller heavy/light ratio for each protein. Proteins not targeted by inhibitors would be expected to have a ratio of 1.
Protocol Summary:
Sample Preparation. Neuro-2A murine neuroblastoma cells were initially grown for 10 passages in either light or heavy SILAC DMEM medium supplemented with 10% dialyzed FCS and 2 mM L-glutamine. Light medium was supplemented with 100 ug/mL L-arginine and 100 ug/mL L-lysine. Heavy medium was supplemented with 100 ug/mL [13C615N4]-L-Arginine and 100 ug/mL [13C615N2]-L-Lysine. Heavy cells (in 10 mL medium) were treated with test compound KT172 (SID125269120, CID53364485) (10 uL of a 1000x stock in DMSO; 25 nM final concentration) and light cells were treated with DMSO (10 uL) for 4 hours at 37 C. Cells were washed with DPBS (4x), harvested, and homogenized by sonication in DPBS. The soluble and membrane fractions were isolated by centrifugation (100K x g, 45 minutes) and the protein concentration for each fraction was adjusted to 2 mg/mL with DPBS. The light and heavy proteomes were labeled with the activity-based affinity probe FP-biotin (500 uL total reaction volume, 10 uM final concentration) for 2 hours at 25 C. After incubation, light and heavy proteomes were mixed in 1:1 ratio, and the membrane proteomes were additionally solubilized with 1% Triton-X100. Samples were desalted over PD10 columns (GE Healthcare) in DPBS, and biotinylated proteins enriched with streptavidin beads (50 uL beads; conditions: 1 hour, 25 C 0.5% SDS in DPBS). The beads were washed with 1% SDS in DPBS (1x), 6 M urea (1x), and DPBS (2x), then resuspended in in 6 M urea (150 uL), reduced with 5 mM TCEP for 20 minutes, and alkylated with 10 mM iodoacetamide for 30 minutes at 25 C in the dark. The urea concentration was reduced to 2 M with 2x volume DPBS. On-bead digestions were performed for 12 hours at 37 C with sequence-grade modified trypsin (Promega; 2 ug) in the presence of 2 mM CaCl2. Peptide samples were acidified to a final concentration of 5% (v/v) formic acid and stored at -80 C prior to analysis.
LC-MS/MS analysis. Samples were analyzed by multidimensional liquid chromatography tandem mass spectrometry (MudPIT) using an Agilent 1200-series quaternary pump and Thermo Scientific LTQ-Orbitrap Velos ion trap mass spectrometer. Peptides were eluted in a 5-step MudPIT experiment using 0%, 25%, 50%, 80%, and 100% salt bumps of 500 mM aqueous ammonium acetate and data were collected in data-dependent acquisition mode with dynamic exclusion turned on (20 seconds, repeat of 1). Specifically, one full MS (MS1) scan (400-1800 m/z) was followed by 30 MS2 scans of the most abundant ions. The MS2 spectra data were extracted from the raw file using RAW Xtractor (version 1.9.9.2; publicly available at http://fields.scripps.edu/downloads.php). MS2 spectra data were searched using the ProLuCID algorithm (publicly available at http://fields.scripps.edu/downloads.php) against the latest version of the mouse IPI database concatenated with the reversed database for assessment of false-discovery rates. ProLucid searches allowed for static modification of cysteine residues (+57.02146 due to alkylation), methionine oxidation (+15.9949), mass shifts of labeled amino acids (+10.0083 R, +8.0142 K) and no enzyme specificity. The resulting MS2 spectra matches were assembled into protein identifications and filtered using DTASelect (version 2.0) using the --modstat, --mass, and --trypstat options (applies different statistical models for the analysis of high resolution masses, peptide digestion state, and methionine oxidation state respectively). Ratios of heavy/light (test compound/DMSO) peaks were calculated using in-house software and normalized at the peptide level to the average ratio of all non-serine hydrolase peptides. Reported ratios represent the mean of all unique, quantified peptides per protein and do not include peptides that were >3 standard deviations from the median peptide value. Proteins with less than three peptides per protein ID were not included in the analysis.
Ratio = Average( AUClight / AUCheavy ) calculated for all unique peptides
Where:
AUClight is the area-under-the-curve for the light peptide pair from cells treated with test compound. AUCheavy is the area-under-the-curve for the heavy peptide pair from cells treated with DMSO.
PubChem Activity Outcome and Score:
The following applies to each panel in this assay:
A compound was considered active for a particular target/anti-target with a light/heavy ratio of less than or equal to 0.5. A compound was considered inactive for a specified target/anti-target with a light/heavy ratio of greater than 0.5.
Overall Outcome and Score:
A compound was considered active if it was active for DAGLb and active for fewer than two anti-target serine hydrolases tested.
The PubChem Activity Score is assigned a value of 100 for active compounds, and 0 for inactive compounds.
The PubChem Activity Score range for active compounds is 100-100. There are no inactive compounds.