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Conotoxins

Conotoxins are a diverse group of neurotoxins found in the venom of marine cone snails.
These peptides target a variety of ion channels and receptors, making them valuable tools for neuroscience research and potential therapeutic applications.
The PubCompare.ai platform enhaces the reproducibility and accuracy of Conotoxins research by helping scientists easily locate the best protocols and products from literature, preprints, and patents using AI-driven comparisons.
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Most cited protocols related to «Conotoxins»

Specimen were collected in the central Philippines during several collection expeditions in 2011–2015. Specimen identification was initially performed by morphological examination and later verified by sequence analysis of the cytochrome oxidase c subunit 1 (COI) gene. Venom glands were dissected and stored in RNAlater at −80 °C until further processing. Total RNA was isolated from venom glands using TRIzol®Reagent (Invitrogen, ThermoFisher Scientific, Waltham, MA, USA) or the RNeasy kit (Qiagen, Germantown, MD, USA) following the manufacturers’ instructions. RNA integrity, quantity, and purity were determined on a 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). cDNA libraries were prepared and sequenced on an Illumina HiSeq 2000 instrument (Sanger/Illumina 1.9 reads, 101 bp or 125 bp paired-end, Illumina, San Diego, CA, USA). Publicly available Illumina datasets were used for the venom gland transcriptomes of C. marmoreus (specimen 2), C. virgo (specimen 2), C. coronatus, and C. ebraeus [10 (link)].
Adapter clipping and quality trimming of raw reads were performed using fqtrim software (Version 0.9.4, http://ccb.jhu.edu/software/fqtrim/) and PRINSEQ (Version 0.20.4 [38 (link)]). After processing, sequences shorter than 70 bps and those containing more than 5% ambiguous bases (Ns) were discarded. De novo transcriptome assembly was performed using Trinity Version 2.0.5 [39 (link)] with a kmer size for building De Bruijn Graphs of 31, a minimum kmer coverage of 10, and a minimum glue of 10. Assembled transcripts were annotated using Blastx ((NCBI-Blast-2.2.28+, [40 (link)]) against conotoxin sequences extracted from the ConoServer [5 (link)] and UniProt databases [34 (link)].
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Publication 2018
cDNA Library Conotoxins Cytochrome c1 FCER2 protein, human Genes Oxidases Protein Subunits Sequence Analysis Transcriptome trizol Venoms
U937 cells were obtained from the German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany). The cells were cultured in RPMI 1640 (Gibco by Life Technologies GmbH, Darmstadt, Germany) supplemented with 10% fetal calf serum (FCS; Biochrome, Berlin, Germany) and 2 mM L-glutamine (Gibco by Life Technologies GmbH) under 5% CO2 atmosphere at 37 °C.
To investigate IL-1β release cells were transferred to 24-well plates (1 × 106 cells/ml and per well). Cells were primed with 1 μg/ml LPS from Escherichia coli (L2654; 1 μg/ml; Sigma-Aldrich, Deisenhofen, Germany) for 5 h. After priming, the P2X7 receptor agonist BzATP (Sigma-Aldrich; 100 μM) was added for 30 min in presence or absence of different concentrations of cholinergic agonists and antagonists. Cho chloride (100 μM), PC chloride calcium salt tetrahydrate (100 μM), and Mec hydrochloride (100 μM) were purchased from Sigma-Aldrich. An analogue of α-conotoxin RgIA (RgIA4)22 was used in concentrations from 0.2 to 200 nM. After cell treatment, cells were spun down (500 g, 8 min) the supernatants were collected and stored at −20 °C. IL-1β concentrations were measured using a human Quantikine Immunoassays (R&D Systems, Minneapolis, MN) and LDH was determined.
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Publication 2016
3'-O-(4-benzoyl)benzoyladenosine 5'-triphosphate antagonists Atmosphere Calcium Cell Culture Techniques Cells Chlorides Cholinergic Agonists Conotoxins Escherichia coli Glutamine Homo sapiens Immunoassay Interleukin-1 beta Purinoceptor P2Z U937 Cells
We applied homology searches and an ab initio prediction method [83 (link)] to predict conotoxins from the five transcriptomes and one EST sequencing dataset.
For homology searches, all previously known conopeptides were downloaded from the ConoServer database [42 (link)] to construct a local reference dataset. We subsequently used BLASTX (with an E-value of 1e-5) to run our assembled sequences against the local dataset. Those unique genes/ESTs with the best hits in the BLASTX data were translated into peptide sequences.
In addition, an ab initio prediction method using a Hidden Markov Model (HMM) was adopted to discover new conopeptides. First, the reference dataset of known conopeptides from the ConoServer database [42 (link)] was grouped into different classes according to their published superfamily and family classifications. Second, sequences of each class were aligned with the ClustalW tool [84 (link)] and the ambiguous results were checked using the ConoPrec tool [42 (link)] and manual inspection. Finally, a profile HMM was built for the conserved-domain of each class using hmmbuild from the HMMER 3.0 package [68 (link)] to find the best HMM parameter, and the hmmsearch tool was then applied, using this trained HMM parameter, to scan every unique assembled gene/EST for identification of conopeptides.
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Publication 2016
Conotoxins Expressed Sequence Tags Genes Peptides Radionuclide Imaging Transcriptome
All conotoxin sequences available from ConoServer were downloaded and grouped according to superfamily (classification provided by ConoServer). Any identical sequences were removed. Full-length precursor sequences were used where available, but for superfamilies with less sequence information all available sequences were used.
Using the hmmbuild tool from the HMMER 3.0 package a single pHMM was built for each superfamily. The hmmsearch tool was then applied to the C. victoriae venom gland transcriptome database of open reading frames.
All sequence alignments were performed with MAFFT version 7 using the L-INS-i method [75] (link). Signal peptide sequences were determined using the SignalP 4.1 server [76] . Mature peptide regions were predicted based on similarity to related conotoxin sequences.
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Publication 2014
Conotoxins Open Reading Frames Peptides Sequence Alignment Signal Peptides Transcriptome Venoms
During initial attempts to assemble transcripts in Trinity, we were not able to assemble known transcripts present in the sequencing data, potentially due to the repetitiveness and high sequence complexity of venom transcripts. To circumvent this issue, we employed an iterative assembly approach. For each iteration, we trimmed adapters and low quality bases using Trimmomatic [90 (link)], merged reads using FLASh [91 (link)], and assembled transcripts using Trinity [40 (link)]. During the first assembly iteration, we assembled a 0.1 % random subset of the total reads for each sample. Then, we used blastx to identify transcripts with similarity (evalue = 1-e10) to known conotoxin genes listed on ConoServer. We used bowtie2 [92 (link)] to align and identify reads that matched to those putative venom transcripts. For the second iteration, we assembled reads from the 0.1 % subset that did not align to venom transcripts identified from the first iteration. Then, we identified additional putative venom transcripts from the contigs generated. For the final iteration, we assembled reads from the full dataset that did not align to venom transcripts identified from the first two iterations and identified additional contigs that shared similarity to conotoxins.
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Publication 2016
Conotoxins Genes Venoms

Most recents protocols related to «Conotoxins»

As a typical model to study the development and function of the NMJ [43 (link)–45 (link)], diaphragm muscle was dissected with special care to preserve phrenic nerve connectivity. Isolated nerve–muscle preparations were immersed in Ringer’s solution and maintained at 26 °C.
One hemidiaphragm was used as a treatment, and the other served as its paired untreated control. All treatments were performed ex vivo. Muscles were stimulated through the phrenic nerve at 1 Hz, which allows the maintenance of different tonic functions without depleting synaptic vesicles, for 30 min using the A-M Systems 2100 isolated pulse generator (A-M System) as in previous studies [38 (link)–40 (link)]. We designed a protocol of stimulation that preserves the nerve stimulation and the associated neurotransmission mechanism. This method prevents other mechanisms associated with non-nerve-induced (direct) muscle contraction [46 –48 (link)]. To verify muscle contraction, a visual checking was done. Two main experiments were performed to distinguish the effects of synaptic activity from those of muscle activity (Fig. 1).

Presynaptic stimulation (Ctrl versus ES): to show the impact of the synaptic activity, we compared presynaptically stimulated muscles whose contraction was blocked by μ-CgTx-GIIIB with nonstimulated muscles also incubated with μ-CgTx-GIIIB to control for nonspecific effects of the blocker.

Contraction (ES versus ES + C): to estimate the effect of nerve-induced muscle contraction, we compared stimulated/contracting muscles with stimulated/noncontracting muscles whose contraction was blocked by μ-CgTx-GIII. By comparing the presynaptic stimulation with or without postsynaptic activity, we separate the effect of contraction. However, one should consider that postsynaptic contraction experiments also contain presynaptic activity.

Design of experimental treatment for the study of effects of presynaptic activity and nerve-induced muscle contraction. μ-CgTx-GIIIB, μ-conotoxin GIIIB

In the experiments that needed only stimulation without contraction, μ-CgTx-GIIIB was used (see “Reagents”). Nevertheless, before immersing these muscles in μ-CgTx-GIIIB, a visual checking of the correct contraction of the muscle was done [39 (link)].
Furthermore, to assess the effect of PKA blocking, three different experiments have been performed:

To estimate the effect of PKA inhibition under synaptic activity, we compared presynaptically stimulated muscles whose contraction was blocked by μ-CgTx-GIIIB with and without H-89: ES versus ES + H-89.

To show the impact of the PKA inhibition under muscle contraction, we compared stimulating and contracting muscles with and without H-89: (ES + C) versus (ES + C) + H-89.

To demonstrate if degradation or redistribution along the axon is involved, the diaphragm muscle was dissected with special care to preserve phrenic nerve connectivity. We compared stimulating and contracting muscles with and without protease inhibitor (Prot.Inh.) cocktail 1% (10 μl/ml; Sigma, Saint Louis, MO, USA): (ES + C) versus (ES + C) + Prot.Inh.

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Publication 2023
Axon Conotoxins Muscle Contraction Muscle Tissue Nerve-Muscle Preparation Nervousness Phrenic Nerve Protease Inhibitors Psychological Inhibition Pulse Rate Ringer's Solution Synaptic Transmission Synaptic Vesicles Therapies, Investigational Vaginal Diaphragm
To block muscle stimulation μ-conotoxin GIIIB (#C-270, Alomone Labs Ltd, Jerusalem, Israel) was used. This toxin inhibits sarcolemmal voltage-dependent sodium channels (VSDCs) without affecting synaptic ACh release or ACh signaling [42 (link)]. It was supplied as lyophilized powder of > 99% purity. μ-conotoxin GIIIB was 150 μM stock, and working concentration was 1.5 μM in Ringer’s solution [mM: NaCl 137, KCl 5, CaCl2 2, MgSO4 1, NaH2PO4 1, NaHCO3 12, glucose 12.1, and DMSO 0.1%, oxygenated with O2:CO2 (95:5)].
PKA activity was blocked with N-[2-((p-Bromocinnamyl)amino)ethyl]-5-isoquinolinesulfonamide dihydrochloride (H-89, Calbiochem). H-89 was made as 10 mM stock and used at 10 μM diluted in Ringer’s solution with DMSO.
All chemicals were diluted in Ringer’s solution, and both control and drug-containing solutions contained 0.1% dimethyl sulfoxide (DMSO) as the vehicle.
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Publication 2023
Bicarbonate, Sodium Conotoxins Glucose Muscle Tissue Pharmaceutical Solutions Powder Ringer's Solution Sodium Channel Sodium Chloride Sulfate, Magnesium Sulfoxide, Dimethyl Toxins, Biological
Native and synthetic conotoxins were individually separated using the following equipment: (i) capillary scale (Phenomenex; C18, 5 μm, 300 Å, 1.0 × 250 mm, flow 100 μL min−1)—used for comparative RP-HPLC profiling to control the quality of peptide purity, to quantify the peptides and to perform peptide co-elution experiments, (ii) analytical scale (Vydac; C18, 5 μm, 300 Å, 4.2 × 250 mm, flow 1 mL min−1)—used for the isolation and purification of native peptides for MS analysis, and (iii) preparative scale (Vydac; C18, 10 μm, 300 Å, 22 × 250 mm, flow 5 mL min−1)—used for the preparative separation of synthetic peptides. Capillary and analytical scale separations utilized a Waters 2695 Alliance RP-HPLC System interfaced with a 996 Waters photo diode array detector. Data was acquired and analyzed using Waters Millennium32 (v3.2) software. Samples were eluted using a linear 1% min−1 gradient of organic (90/10%/0.008% v/v CH3CN/H2O/TFA) Solvent B against aqueous (0.1% v/v TFA/H2O) Solvent A for 65 min, terminating with a high organic wash (80% Solvent B for 5 min), and pre-equilibration step (5% Solvent B) for 10 min prior to sample injection. Elution from the column was monitored at 214 nm. The preparative scale RP-HPLC (iii) used a 625 Waters HPLC pump and controller interfaced with a 996 Waters photo diode array detector. Synthetic peptides and crude venom peptide extracts were filtered (Nylon 0.22 μm), manually loaded, and eluted from the preparative scale column using the same 1% gradient at 5 mL min−1 and monitored at 214 and 280 nm. Fractions were collected manually and stored at −20 °C or freeze-dried until required.
LC-MS analysis of crude duct venom was performed on a C18 capillary-bore RP-HPLC (Phenomenex; 5 μm, 300 Å, 1.0 × 250 mm) column interfaced to a PerSeptive Biosystems Mariner MS, using a 1% gradient, 100 μL min−1, 214 nm, Solvents (A) 0.1% formic acid/H2O, (B) 0.65% formic acid/CH3CN, with only 20% of the flow directed into the MS ion source. To achieve total venom peptide reduction, materials were resuspended in 200 mM TCEP/25 mM NH4OAc, pH 4.5, heated at 60 °C for 10 min, then centrifuged (12,000× g) prior to LC-MS analysis.
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Publication 2023
Capillaries Complex Extracts Conotoxins formic acid Freezing High-Performance Liquid Chromatographies isolation Nylons Peptides Solvents tris(2-carboxyethyl)phosphine Venoms
Electrophysiological recordings on hemidiaphragm muscle fibers were performed using conventional microelectrode techniques. For measurements of rVm, EPP, and MEPP, hemidiaphragm preparations were immersed in oxygenated K-R solution containing 1.6 μM of μ-conotoxin GIIIB (Bachem, Bubendorf, Switzerland) and incubated for 30 min. The same stimulus protocol, equipment, and software were used to perform membrane potential recordings, as previously described by Ristovski et al. [9 (link)]. Only the highest concentration of C1 (120 μM) was studied. The recordings were performed before applying C1, 30 and 60 min after the compound application, and 15 min after the compound wash-out. MEPP and EPP amplitudes were normalized to a rVm of −70 mV using the formula: Vc = Vo (−70)/rVm, where Vc is the normalized amplitude of MEPPs and EPPs, and Vo is their recorded amplitude.
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Publication 2023
Conotoxins Membrane Potentials Microelectrodes Miniature End Plate Potentials Muscle Tissue
Picrotoxin (Sigma #P1675), bicuculline (Sigma #505875), tetrodotoxin (Cayman #14964), BI2536 (Selleckchem #S1109), Calyculin A (Abcam #ab141784), DL-AP5 (Tocris #0105), CNQX (Tocris #0190), FK506 (Tocris #3631), digitonin (Sigma #D141), nimodipine (Sigma #482200), conotoxin (Sigma #343781-M), agatoxin (Abcam #ab120210). All combined treatment paradigms throughout the manuscript were carried out in the presence of PTX (unless otherwise stated). As controls, pharmacological inhibitor treatments were also carried out in the absence of PTX in the same experiment.
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Publication 2023
6-Cyano-7-nitroquinoxaline-2,3-dione BI 2536 Bicuculline Caimans calyculin A Combined Modality Therapy Conotoxins Digitonin FK-506 Nimodipine Pharmacotherapy Picrotoxin Tetrodotoxin

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μ-conotoxin GIIIB is a small peptide toxin derived from the venom of the cone snail Conus geographus. It functions as a selective and potent blocker of voltage-gated sodium channels.
Sourced in Israel
µ-conotoxin GIIIB is a neurotoxin isolated from the venom of the marine snail Conus geographus. It is a selective inhibitor of voltage-gated sodium channels.
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[125I]-epibatidine is a radioisotope-labeled compound used in research applications. It serves as a ligand for nicotinic acetylcholine receptors. The specific activity and radiochemical purity of this product are provided with each lot.
Sourced in United Kingdom
α-conotoxin MII is a bioactive peptide derived from the venom of the marine cone snail Conus magus. It functions as a competitive antagonist of the nicotinic acetylcholine receptor (nAChR), specifically targeting the α3β2 subtype.
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Potassium chloride (KCl) is an inorganic compound that is commonly used as a laboratory reagent. It is a colorless, crystalline solid with a high melting point. KCl is a popular electrolyte and is used in various laboratory applications.
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Bovine serum albumin (BSA) is a common laboratory reagent derived from bovine blood plasma. It is a protein that serves as a stabilizer and blocking agent in various biochemical and immunological applications. BSA is widely used to maintain the activity and solubility of enzymes, proteins, and other biomolecules in experimental settings.
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
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Picrotoxin is a chemical compound that acts as a GABA antagonist. It is primarily used in scientific research as a tool to study the function of GABA receptors.
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Nicotine is a chemical compound found in the tobacco plant. It is a colorless, volatile, and alkaline liquid with a distinctive odor. Nicotine is commonly used in laboratory settings for research and analysis purposes.

More about "Conotoxins"

Conotoxins are a diverse group of neurotoxins found in the venom of marine cone snails.
These peptides, also known as cone snail toxins or conopeptides, target a variety of ion channels and receptors, making them valuable tools for neuroscience research and potential therapeutic applications.
The PubCompare.ai platform enhances the reproducibility and accuracy of Conotoxins research by helping scientists easily locate the best protocols and products from literature, preprints, and patents using AI-driven comparisons.
Conotoxins are classified into different families based on their structural and functional characteristics, such as α-conotoxins, μ-conotoxins, and ω-conotoxins.
For example, μ-conotoxin GIIIB is a specific type of conotoxin that targets voltage-gated sodium channels, while α-conotoxin MII is known to selectively bind to nicotinic acetylcholine receptors.
Researchers utilize various techniques and tools to study conotoxins, including the use of radioactive labeling, such as [125I]-epibatidine, to investigate receptor binding.
Other common experimental conditions include the use of potassium chloride (KCl) to depolarize cells, bovine serum albumin (BSA) as a protein carrier, and dimethyl sulfoxide (DMSO) as a solvent.
Substances like picrotoxin and nicotine hydrogen tartrate salt can also be used to modulate the effects of conotoxins on ion channels and receptors.
Maximize your Conotoxins research efficiency with PubCompare.ai's intuitive tools and dashboards, and experience the future of scientific discovery today.