Evidence map›Paper›PMID 20131867›Full record

ArticleJournal of proteome research2010

Mass spectrometry-based GPCR proteomics: comprehensive characterization of the human cannabinoid 1 receptor.

Nikolai Zvonok, Wei Xu, John Williams, David R Janero, Srinivasan C Krishnan, Alexandros Makriyannis

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Nikolai ZvonokNortheastern University, Center for Drug Discovery, 116 Mugar Life Sciences Building, Boston, Massachusetts 02115, USA.
Wei Xu
John Williams
David R Janero
Srinivasan C Krishnan
Alexandros Makriyannis
Northeastern University · US

Funding

Project 3 - In vivo pharmacology of cannabinoid receptor probesP01DA009158 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI Alexandros Makriyannis · 1994 to 2026
$26.0M
Training Program in Medications Development for Drugs of Abuse (Institutional RutT32DA007312 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI MAKRIYANNIS, ALEXANDROS · 1999 to 2013
$4.1M
MOLECULAR BASIS OF CANNABINOID ACITIVITYR37DA003801 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI MAKRIYANNIS, ALEXANDROS · 1997 to 2006
$3.7M
CANNABINOID LIGANDS AND DRUGSR01DA007215 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI MAKRIYANNIS, ALEXANDROS · 1993 to 2012
$3.6M
MOLECULAR BASIS OF CANNABINOID ACTIVITYR01DA003801 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI MAKRIYANNIS, ALEXANDROS · 1985 to 2017
$2.5M
STUDIES ON CANNABINOID EFFECTS AND CANNABIMIMETIC DRUGSK05DA000493 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI MAKRIYANNIS, ALEXANDROS · 2000 to 2010
$1.3M
Neurotransmitter Receptor Heteromers in the Striatal Spine ModuleZ01DA000493 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI GOLDBERG, STEVEN R · 2006 to 2008
$691k
Intramural NIH HHS Z01 DA000493NIDA NIH HHS DA03801NIDA NIH HHS DA07215NIDA NIH HHS DA07312NIDA NIH HHS DA09158NIDA NIH HHS K05 DA000493NIDA NIH HHS P01 DA009158NIDA NIH HHS R01 DA003801NIDA NIH HHS R01 DA007215NIDA NIH HHS R37 DA003801NIDA NIH HHS T32 DA007312
6 · The paper itself

Abstract

The human cannabinoid 1 receptor (hCB1), a ubiquitous G protein-coupled receptor (GPCR), transmits cannabinergic signals that participate in diverse (patho)physiological processes. Pharmacotherapeutic hCB1 targeting is considered a tractable approach for treating such prevalent diseases as obesity, mood disorders, and drug addiction. The hydrophobic nature of the transmembrane helices of hCB1 presents a formidable difficulty to its direct structural analysis. Comprehensive experimental characterization of functional hCB1 by mass spectrometry (MS) is essential to the targeting of affinity probes that can be used to define directly hCB1 binding domains using a ligand-assisted experimental approach. Such information would greatly facilitate the rational design of hCB1-selective agonists/antagonists with therapeutic potential. We report the first high-coverage MS analysis of the primary sequence of the functional hCB1 receptor, one of the few such comprehensive MS-based analyses of any GPCR. Recombinant C-terminal hexa-histidine-tagged hCB1 (His6-hCB1) was expressed in cultured insect (Spodoptera frugiperda) cells, solubilized by a procedure devised to enhance receptor purity following metal-affinity chromatography, desalted by buffer exchange, and digested in solution with (chymo)trypsin. "Bottom-up" nanoLC-MS/MS of the (chymo)tryptic digests afforded a degree of overall hCB1 coverage (>94%) thus far reported for only two other GPCRs. This MS-compatible procedure devised for His6-hCB1 sample preparation, incorporating in-solution (chymo)trypsin digestion in the presence of a low concentration of CYMAL-5 detergent, may be applicable to the MS-based proteomic characterization of other GPCRs. This work should help enable future ligand-assisted structural characterization of hCB1 binding motifs at the amino-acid level using rationally designed and targeted covalent cannabinergic probes.

Indexed as

Amino Acid SequenceBlotting, WesternDrug DesignHistidineHumansHydrophobic and Hydrophilic InteractionsMolecular Sequence DataOligopeptidesPeptide FragmentsProteomicsReceptor, Cannabinoid, CB1Recombinant Fusion ProteinsSignal TransductionTandem Mass SpectrometryHis-His-His-His-His-HisHistidineOligopeptidesPeptide FragmentsReceptor, Cannabinoid, CB1Recombinant Fusion Proteins

Identifiers

PMID20131867
PMCPMC3697753
OpenAlexW2007239606

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.