The largest database of trusted experimental protocols
> Chemicals & Drugs > Amino Acid > NOVA1 protein, human

NOVA1 protein, human

NOVA1 protein is a key regulator of neuronal development and function.
It plays a crucial role in alternative splicing, helping to generate diverse isoforms of target mRNAs.
NOVA1 is expressed predominantly in neurons and is involved in processes such as neurotransmitter signaling, synaptic transmission, and neuroplasticity.
Researching NOVA1 can provide valuable insights into the molecular mechanisms underlying neurological disorders and may lead to the development of new therapeutic strategies.
PubCompare.ai, an AI-driven platform, can optimize NOVA1 protein research by helping researchers locate the best protocols from literature, preprints, and patents, using AI-driven comparisons to identify the most reliable and effective approaches.
This can streamline NOVA1 protein research and acheive greater insights.

Most cited protocols related to «NOVA1 protein, human»

Brain MRI was performed with a Philips Gyroscan Intera 1.5 T Nova Dual scanner (Philips, Best, the Netherlands) in the TPC, and similarly, with a Philips Achieva 1.5 T scanner (Philips, Best, Netherlands) in the WMIC. In both centers, PET imaging was performed using an ECAT high resolution research tomograph scanner (CTI/Siemens, Knoxville, TN)10 (link) that has an intrinsic spatial resolution of approximately 2.5 mm3.11 (link) The protocols for the brain MRI and volumetric analyses and for the [11C](R)-PK11195 radioligand production and brain PET imaging with [11C](R)-PK11195 are explained in detail in appendix e-1 (links.lww.com/NXI/A37). The analyses of the diffusion tensor imaging (DTI) data with evaluation of global mean fractional anisotropy (FA) and mean diffusivity (MD) in the NAWM were performed according to the methodology reported earlier.12 (link)The coregistration of magnetic resonance to the PET sum images was performed using statistical parametric mapping (SPM8, version 8; Wellcome Trust Center for Neuroimaging) run on MATLAB 2011 (The MathWorks, Natick, MA). The procedures for the coregistration, performing partial volume correction, and the region of interest (ROI) definition are described in detail in appendix e-1 (links.lww.com/NXI/A37). The ROIs evaluated for the specific radioligand binding were as follows: T1-hypointense lesions as a single lesion mask (gadolinium-enhancing and gadolinium-negative lesion masks evaluated separately), perilesional areas with 0–3 and 3–6 mm radiuses from the T1-negative lesion masks (figure 1), NAWM (cerebral white matter [WM] segment − [T1 lesions + perilesional masks]), neocortex, thalamus, striatum, and cerebellum.
The regional specific binding of [11C](R)-PK11195 was evaluated as distribution volume ratios (DVRs) using the Logan method within a time interval of 20–60 minutes. For the reference region input in DVR estimation, we used clustered gray matter (GM) derived with supervised cluster algorithm approach using 4 predefined kinetic tissue classes (SuperPK software, SCA4)13 (link),14 (link) as described in our previous study.9 (link) Further parameters regarding the GM clustering are described in appendix e-1 (links.lww.com/NXI/A37).
Publication 2018
Anisotropy Brain Cerebellum Diffusion Gadolinium Gray Matter Kinetics Neocortex NOVA1 protein, human Nuclear Magnetic Resonance PK 11195 Radius Spinocerebellar Ataxia Type 4 Striatum, Corpus Thalamus Tissues Tomography White Matter
Two PhD-level registered dieticians (authors 3 and 5) independently coded the top 100 foods by processing category using each system. Coders were instructed to follow guidelines from the original published documents outlining system classification criteria for IFIC [17 ] and UNC [13 (link)]. In the case of Nova, multiple versions of the system have been published [14 (link),29 (link),30 (link),31 (link),32 (link)]. For this analysis, we used the criteria described in a 2014 review of classification systems by the authors of Nova [29 (link)], which has been referenced in subsequent publications by the authors. Published studies employing the systems were used to clarify application of the processing system [15 (link),19 (link),33 (link),34 (link)]. NHANES food descriptors (Appendix A) associated with unique food codes were used in classifying foods. For mixed dished (e.g., pizza) foods were assumed to be homemade unless the food descriptor included place of production/production method (e.g., fast-food restaurant). In cases of ambiguity, coders were instructed to choose the more conservative processing category (i.e., less processed). For the IFIC and Nova systems, foods are classified into five and four categories, respectively, as presented in Table 1 [17 ,29 (link)]. The UNC system utilizes the same scheme as Nova, but further subdivides foods into seven processing categories (unprocessed/minimally, basic—preservation, basic—ingredient, moderately—grain product, moderately—flavor, highly—ingredient and highly) [13 (link)]. To examine inter-rater reliability, original processing category assignment was compared between coders (category 1–5 for IFIC; category 1–4 for Nova and category 1–7 for UNC).
A third coder (author 1) evaluated coding discrepancies and determined a final coding decision by consultation with authors 3 and 5 for use in analyses examining the relationship between nutrient concentration and processing category. In order to compare systems on a common scale, processing classifications were collapsed to four categories: for IFIC, categories four (ready-to-eat processed) and five (foods/meals) were combined into category four. For UNC, categories two (basic—preservation) and three (basic—ingredient) were combined into category two; categories four (moderately—grain product) and five (moderately—flavor) were combined into category three, and categories six (highly—ingredient) and seven (highly) were combined into category four. Due to insufficient numbers of category two foods, categories one and two were combined for all systems. Other studies have found small proportions of foods classified as basic/processed for preservation compared to other categories, supporting the decision to combine this category with category one [15 (link),34 (link),35 (link)]. The resulting categories were category one (unprocessed/minimally), category two (moderately processed), and category three (highly processed) (Figure 1).
Full text: Click here
Publication 2019
Biologic Preservation Cereals Dietitian Fast Foods Flavor Enhancers Food NOVA1 protein, human Nutrients
This work was approved by the Ethics Committee at the Cruces University Hospital; all the methods were carried out in accordance to approved guidelines. A population of n = 12 (6 males) healthy subjects, aged between 24 and 46 (33.5 ± 8.7), provided information consent forms before the magnetic resonance imaging session. For all the participants, we acquired same-subject structure-function data with a Philips Achieva 1.5T Nova scanner. The total scan time for each session was less than 30 minutes and high-resolution anatomical MRI was acquired using a T1-weighted 3D sequence with the following parameters: TR  =  7.482 ms, TE  =  3.425 ms; parallel imaging (SENSE) acceleration factor = 1.5; acquisition matrix size = 256 × 256; FOV = 26 cm; slice thickness = 1.1 mm; 170 contiguous sections. Diffusion weighted images (DWIs) were acquired using pulsed gradient-spin-echo echo-planar-imaging (PGSE-EPI) under the following parameters: TR = 11070.28 ms, TE = 107.04 ms; 60 slices with thickness of 2 mm; no gap between slices; 128 × 128 matrix with an FOV of 23 × 23 cm. Changes in blood-oxygenation-level-dependent (BOLD) T2* signals were measured using an interleaved gradient-echo EPI sequence. The subjects lay quietly for 7.28 minutes, during which 200 whole brain volumes were obtained under the following parameters: TR = 2200 ms, TE = 35 ms; Flip Angle 90; 24 cm field of view; 128 × 128 pixel matrix; and 3.12 × 3.19 × 4.00 mm voxel dimensions.
Full text: Click here
Publication 2015
Acceleration BLOOD Brain Cell Respiration CM-128 Diffusion ECHO protocol Ethics Committees Factor V Fibrinogen Healthy Volunteers Males NOVA1 protein, human Radionuclide Imaging
Dcc genomic DNA that spans exons 16 and 17 (5.6 kb total) was PCR amplified from mouse spinal cords and cloned into the pDEST26 gateway vector containing a CMV promoter (Thermo Fisher). Dcc minigene was transfected into HEK293T cells together with the splicing factors or an empty vector at a 1:1 ratio. Cells were cultured for 48 hr and the total RNA was collected using Trizol (Thermo Fisher). Reverse transcription was carried out from a T7 promoter (present in pDEST26) using SMARTScribe reverse transcriptase (Clontech, Mountain View, CA), and semi-quantitative PCR was performed to amplify multiple isoforms. Point mutations were introduced by PCR reactions using Pfu polymerase (Agilent, Santa Clara, CA), and were confirmed by DNA sequencing. A V5 tag at the C-terminus of NOVA1, NOVA2, and PTBP2 was used to confirm protein expression using western blotting.
Full text: Click here
Publication 2016
Cells Cloning Vectors Exons Genome Mus neuro-oncological ventral antigen 2, human NOVA1 protein, human Pfu DNA polymerase Point Mutation Protein Isoforms Proteins Reverse Transcription RNA-Directed DNA Polymerase RNA Splicing Factors Spinal Cord trizol
All
electrochemical experiments were performed on an Autolab PGSTAT302N
potentiostat from Metrohm equipped with the FRA32 module and operated
with Nova 1.11.2 software. Each measurement was conducted on a freshly
cleaved HOPG surface. Before the experiment, the CE was flame-cleaned
with a blue butane flame and the RE was thoroughly washed with DI
water. To avoid the contamination of the HOPG by the adsorption of
air-bound hydrocarbons, a phenomenon well established in the literature
for the basal plane of graphite,27 (link) the
solution was deposited on the WE within 1 min of cleaving the surface.
Unless specified otherwise, the applied potential, E, throughout the main text is referred vs Ag/AgCl(sat. KCl) (see Section S1.2 in the SI). The experimental
protocol used for the static measurements was composed of consecutive
potential pulses from 0 to −2 V vs Ag/AgCl wire with a step
of 50 mV. For the positive side, the same approach was followed in
the potential range between 0 and +1.5 V vs Ag/AgCl wire. The duration
of the pulses was adjusted accordingly (varying from 5 to 15 s) for
each electrolyte concentration in the range of 0.1–16 m for
KF and 0.1–20 m for CsF based on preliminary dynamic experiments
for the determination of the time required to attain equilibrium;
the latter was indicated by the plateau in the calculated CA values.
A similar strategy was adopted for the dynamic measurements, in which
the potential was directly stepped from 0 to either −2 or +1.5
V vs Ag/AgCl wire three consecutive times. Each repetition represents
one cycle. Once again, the duration of the potential pulse was chosen
based on the required time needed (0.5 s) to ensure a steady state
response for the electrolyte concentration used. For the investigation
of the surface processes occurring during cathodic and anodic polarization
in different electrolyte concentrations, cyclic voltammetry (CV) experiments
were carried out over a potential range from 0 to −2 and 0
to +1.5 V vs Ag/AgCl(sat. KCl), respectively, at a
scan rate of 1 V s–1. Electrochemical impedance
spectroscopy (EIS) measurements were performed in the frequency range
between 20 kHz and 10 Hz, using an imposed AC rms amplitude of 7 mV
peak-to-peak. The EIS experimental data was evaluated for its compliance
with Kramers–Kronig (KK) criteria by fitting the AC response
of the system to the admittance representation of a theoretical circuit
containing a ladder of n RC elements in series, with
an additional capacitance and/or inductance in parallel to the ladder
structure, using the software developed by Boukamp.28 (link) The choice of the aforementioned equivalent circuit relies
on the blocking nature of the electrodes under study (the impedance
increases to infinity as frequency approaches zero), which renders
the Voigt-type approximation inappropriate.28 (link) The compliance with KK criteria was assured for all data by the
values of the relative residuals, calculated to be less than 0.5%
for both the real and imaginary parts of the impedance and the chi-square
parameter which was found to be on the order of 10–7 for the complete data series. All of the experiments were conducted
inside a faraday cage.
Full text: Click here
Publication 2022
Adsorption butane Electrolytes Graphite Hydrocarbons Macrophage Colony-Stimulating Factor NOVA1 protein, human Pulse Rate Pulses

Most recents protocols related to «NOVA1 protein, human»

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2023
Energy Dispersive X Ray Spectroscopy NOVA1 protein, human Radiation Scanning Electron Microscopy Transmission Electron Microscopy X-Ray Diffraction
Electropolymerization was performed using potentiostat/galvanostat controlled by Nova 1.11.1 software. GCE was polished mechanically using alumina and rinsed with water, after that the electrochemical polymerization of PANI from 0.1 M aniline as a monomer in 0.1 M H2SO4 V s Ag/AgCl as reference electrode and Pt as counter electrode was carried using GCE working electrode. Cyclic voltammetric scan from −0.1 to 1.0 V vs. Ag/AgCl reference electrode at 50 mV s−1 scan rate for 10 consecutive cycles was carried out for electropolymerization.57 The modified electrode was characterized by scanning electron microscope and electrochemical impedance spectroscopy in 5 mM (Fe(CN)6)−4/−3 as redox probe in 0.1 M KCl solution.
Publication 2023
aniline Dielectric Spectroscopy NOVA1 protein, human Oxidation-Reduction Oxide, Aluminum Polymerization Radionuclide Imaging Scanning Electron Microscopy
Sigma-Aldrich, Germany supplied us with Ag/AgCl reference electrode double-junction for potentiometric measurements, while pH adjustment is done using a Jenway 3505 pH meter (Staffordshine, UK). Digital ion analyzer (Jenway, United Kingdom) Magnetic stirrer was used. Potentiostat/galvanostat PGSTAT204 (Metrohm Autolab, Netherlands) controlled using Nova 1.11 software was used for electropolymerization and electrochemical.
TLC aluminum plates F254 (20 × 20 cm2) with 0.25 mm thickness layer, E. Merck (Darmstadt, Germany) was used for oxidative degradation monitoring, and Micro-droppers was used for sample application on plates and spots visualization, for degradation tracing using a 254.0 nm UV lamp.
Publication 2023
Aluminum Exanthema Fingers NOVA1 protein, human Potentiometry
Voltammetry experiments were performed with an Autolab
PGSTAT204
potentiostat running on Nova 2.1 (Metrohm Nordic AB, Sweden). We used
the following electrodes purchased from Metrohm Nordic AB (Sweden):
screen-printed carbon electrode (DRP-150), glassy carbon working electrode
(GCE; diameter of 5 mm, RDE.GC50.S), Pt electrode (6.0331.010), and
a Ag/AgCl single-junction reference electrode (EQCM. refEL.S). A Mo
plate was also used as an electrode (Sigma-Aldrich, 357200-25.6G).
Electrochemical measurements in “beaker configuration”
were performed using a three-electrode system with the GCE as the
working electrode (WE), the Ag/AgCl single-junction reference electrode
(RE), and the Pt rod as the counter electrode (CE). For the experiments
conducted in the microfluidic cell (Figure 2a), three types of electrodes were prepared
and/or utilized. Electrode 1 was the DRP-150 with a carbon-based WE
modified with a film of electropolymerized PANI (150 CV scans in 0.1
M aniline/0.5 M H2SO4). Electrode 2 was the
Mo plate modified with a custom-made screen-printed carbon electrode
(SPCE). Electrode 3 was an unmodified DRP-150. More details about
the preparation of the electrodes are presented in the Supporting
Information. Figure S1 presents a real
picture of the device.
The fluidic cell was designed in AutoCAD
2020 and printed with
an Ultimaker 3 3D printer (Ultimaker B.V., the Netherlands) using
PLA filament (Ultimaker, the Netherlands). The rubber spacers (thicknesses
of 0.5 and 1 mm) were purchased from (Ecoflex, USA) and cut to an
appropriate size to create the microfluids for the cell. The cell
is composed of two internal compartments: the first compartment is
situated between Electrode 1 and Electrode 2, while the second is
situated between Electrode 2 and Electrode 3. The WEs of actuator
1 and actuator 2, the sensor, and (a common) RE are placed in the
first compartment, while the common CE (the carbon part of the DRP-150;
Electrode 3) is placed in the second compartment. The Ag element in
the DRP-150 in Electrode 1 acts as the common RE. The PANI-C element
of Electrode 1 acts as the WE of actuator 1 and acidifies the sample
upon the application of 0.4 V for 300 s. The Mo element in Electrode
2 acts as the WE of actuator 2 and delivers MoO42– and H+ by
applying a current of 0.15 mA for 300 s. Finally, the C path in Electrode
2 acts as the WE of a DIP sensor that uses either CV or SWV. The potential
was switched in the cathodic direction to ensure the partial reduction
of Mo(VI) centers in the phosphomolybdate complex to Mo(V).
Full text: Click here
Publication 2023
aniline Carbon Cytoskeletal Filaments ecoflex Medical Devices Molybdenum NOVA1 protein, human phosphomolybdic acid Radionuclide Imaging Rubber SERPINA3 protein, human Silver sodium polymetaphosphate
The sensing measurements were performed using a Metrohm potentiostat and controlled via the accompanying NOVA 1.11 software.
Sensing based on changes of the surface potential was performed in open circuit potential (OCP) mode using an Autolab PGSTAT204 potentiostat. A coiled gold wire was used as counter electrode. OCP measurements were performed in a cell containing 10 ml of high purity water. Addition of the halogen ions was done during the running measurements by adding the desired volume of NaF or NaCl solution stepwise, resulting in maximum final concentrations of 4 mM.
Since for electrochemical impedance spectroscopy (EIS) a conductive solution is required from the beginning, 20 ml of 50 mM KNO3 aqueous solution was used as background electrolyte. Samples were measured in this electrolyte without, directly after and one day after the addition of 4 mM NaF. For EIS an Autolab PGSTAT128N potentiostat with an electrochemical impedance spectroscopy module (FRA32M) was used. A coiled Pt-wire served as counter electrode and a parallel capacitance of 1 mF was connected to the reference to reduce its impedance at high frequencies. Frequency spectra were recorded at open circuit potential with frequencies in a range from 10 mHz to 100 kHz using an amplitude with a round mean square (RMS) value of 20 mA.
Before starting each anion sensing measurement, samples were soaked in the starting electrolyte for at least 8 h to ensure diffusion into the porous structure. All data presented in this study result from a well balanced, regenerated sensor. To regenerate the samples they were soaked in 1 M KOH overnight after each fluoride detection measurement.
Publication 2023
Anions Cells Dielectric Spectroscopy Diffusion Electric Conductivity Electrolytes Fluorides Gold Halogens Ions NOVA1 protein, human Sodium Chloride

Top products related to «NOVA1 protein, human»

Sourced in Netherlands, Switzerland, United States, United Kingdom
The PGSTAT302N is a potentiostat/galvanostat designed for electrochemical analysis. It provides precise control and measurement of voltage, current, and charge. The instrument is capable of performing a variety of electrochemical techniques, including cyclic voltammetry, linear sweep voltammetry, and chronoamperometry. The PGSTAT302N is a versatile tool for researchers and analysts working in the field of electrochemistry.
Sourced in Netherlands, Switzerland, Germany
NOVA 2.1 software is a data analysis and reporting platform developed by Metrohm. It is designed to work seamlessly with Metrohm's analytical instrumentation, enabling users to acquire, process, and present data efficiently.
Sourced in Netherlands
NOVA 1.11 software is a data analysis and acquisition software designed for Metrohm's electrochemical instruments. It provides a user-friendly interface for managing and processing data generated by Metrohm's analytical equipment.
Sourced in Netherlands, Switzerland, United States
The Autolab PGSTAT128N is a potentiostat/galvanostat instrument designed for electrochemical measurements. It provides a wide current range and high precision for a variety of electrochemical techniques.
Sourced in Netherlands, Switzerland, Germany, United Kingdom
The Autolab PGSTAT302N is a potentiostat/galvanostat instrument designed for electrochemical measurements. It provides precise control and measurement of voltage, current, and charge during electrochemical experiments.
Sourced in Netherlands, Germany, United Kingdom
The PGSTAT204 is a potentiostat/galvanostat from Metrohm, a leading manufacturer of lab equipment. The device is designed for electrochemical measurements and analysis. It provides precise control and measurement of electrical signals in various electrochemical applications.
Sourced in Netherlands, Switzerland, Italy
The Autolab PGSTAT204 is a potentiostat/galvanostat designed for electrochemical measurements. It provides a flexible, high-performance platform for a wide range of electrochemical techniques.
Sourced in Netherlands, Switzerland
The PGSTAT128N is a high-performance potentiostat/galvanostat designed for electrochemical analysis. It offers a wide range of functionality, including potential, current, and impedance measurements. The device features a compact and robust design, making it suitable for various laboratory applications.
Sourced in United States, China, Germany, United Kingdom, Canada, Japan, France, Italy, Switzerland, Australia, Spain, Belgium, Denmark, Singapore, India, Netherlands, Sweden, New Zealand, Portugal, Poland, Israel, Lithuania, Hong Kong, Argentina, Ireland, Austria, Czechia, Cameroon, Taiwan, Province of China, Morocco
Lipofectamine 2000 is a cationic lipid-based transfection reagent designed for efficient and reliable delivery of nucleic acids, such as plasmid DNA and small interfering RNA (siRNA), into a wide range of eukaryotic cell types. It facilitates the formation of complexes between the nucleic acid and the lipid components, which can then be introduced into cells to enable gene expression or gene silencing studies.
Sourced in Netherlands
The PGSTAT101 is a potentiostat/galvanostat designed for electrochemical measurements. It provides a stable, high-precision voltage and current control for a wide range of electrochemical applications. The PGSTAT101 can be used for tasks such as cyclic voltammetry, chronoamperometry, and other electrochemical techniques.

More about "NOVA1 protein, human"

NOVA1 (Neuro-Oncological Ventral Antigen 1) is a key regulator of neuronal development and function, playing a crucial role in alternative splicing and the generation of diverse mRNA isoforms.
This RNA-binding protein is predominantly expressed in neurons and is involved in crucial neurological processes such as neurotransmitter signaling, synaptic transmission, and neuroplasticity.
Researching NOVA1 can provide valuable insights into the molecular mechanisms underlying various neurological disorders, potentially leading to the development of new therapeutic strategies.
To optimize NOVA1 protein research, researchers can utilize tools like PubCompare.ai, an AI-driven platform that helps locate the best protocols from literature, preprints, and patents.
By using AI-driven comparisons, PubCompare.ai can identify the most reliable and effective approaches, streamlining NOVA1 protein research and enabling greater insights.
In addition to PubCompare.ai, other relevant tools and software include PGSTAT302N, NOVA 2.1, NOVA 1.11, Autolab PGSTAT128N, Autolab PGSTAT302N, PGSTAT204, Autolab PGSTAT204, PGSTAT128N, and Lipofectamine 2000.
These tools can assist researchers in various aspects of NOVA1 protein research, such as electrochemical analysis, software for NOVA1 data analysis, and transfection reagents for cell-based experiments.
By leveraging the insights gained from NOVA1 research and utilizing the right tools and software, researchers can deepen their understanding of the molecular mechanisms underlying neurological disorders and work towards the development of more effective therapeutic strategies.