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Sterols

Sterols are a class of naturally occurring organic compounds that are essential for the proper functioning of cell membranes.
They are characterized by a distinctive steroid ring structure and play crucial roles in various biological processes, including cell signaling, hormone regulation, and metabolic pathways.
Sterols can be found in a wide range of organisms, including plants, animals, and fungi, and have been the subject of extensive research in fields such as biochemistry, molecular biology, and medicine.
Optimizing research on sterols can lead to advancements in our understanding of their physiological functions and potential therapeutic applications.
PubCompare.ai offers an AI-driven platform that can help researchers effortlessly locate the best protocols from literature, preprints, and patents, enhancing the reproducibility and accuracy of sterol experiments and giving researchers the edge in this important area of study.

Most cited protocols related to «Sterols»

BinBase is a large GC-TOF MS based metabolomics database encompassing
1,561 studies with 114,795 samples for various species, organs, matrices, and
experimental conditions. By the physics of GC-MS, analysis is restricted to
thermostable small molecules that range up to 650 Da in size, even if using
derivatization by trimethylsilylation to reduce boiling points. Molecules
profiled by trimethylsilylation GC-MS based metabolomics include amino acids,
di- and tripeptides, hydroxyl acids, organic phosphates, fatty acids, alcohols,
sugar acids, mono-, di- and trisaccharides including sugar acids and sugar
alcohols, aromatic acids, nucleosides and mononucleotides (but not di- or
trinucleotides), sterols, polyamines, and a large variety of miscellaneous
compounds.
BinBase uses a retention index- and mass spectral quality filtering
system based on GC-TOF based mass spectral deconvolution results as
input21 (link) to store and
report unique metabolite signals that are detected in metabolomic studies.
Through the connected MiniX system22 , all studies in BinBase are associated with metadata such
as species, organs, cell types, and treatments. The BinBase algorithm has been
published previously11 ,23 (link) and is used over the past 13
years. It relies on mass spectral deconvolution of GC-TOF MS data by the Leco
ChromaTOF software and utilizes a multi-tiered filter system with different
settings to annotate deconvoluted instrument peak spectra as unique database
entries (“bins”). For typical studies on mammalian plasma with
about 50–60 samples, about 1,000 peaks would be detected by ChromaTOF
software at least in one chromatogram at signal/noise ratios s/n>5.
BinBase removes low abundant, inconsistent and noisy peaks that cannot be
assigned to existing bins in BinBase and that have too low spectra quality to
generate a new bin in BinBase, resulting in datasets that typically report
400-500 peaks for mammalian plasma samples. Compound identifications within
BinBase are managed by the administrator using spectral libraries and retention
index information from the Fiehnlib libraries12 (link) and NIST mass spectra. In a typical
final BinBase report such as on mammalian plasma, about 30-40% of the
reported bins are noted as identified metabolites, i.e. about 150 compounds,
including database identifiers such as KEGG, PubChem and InChI keys.
Publication 2017
Acids Administrators Alcohols Amino Acids Cells Fatty Acids Gas Chromatography-Mass Spectrometry Hydroxy Acids Mammals Mass Spectrometry Nucleosides Phosphoric Acid Esters Plasma Polyamines Retention (Psychology) Sterols Sugar Acids Trisaccharides
It was our objective to unravel and to validate laboratory biomarkers significantly associated with disease phenotypes and risks. An extensive panel of laboratory tests covering 83 analytes and biomarkers (clinical chemistry, hematology, immunology, endocrinology and metabolism) was performed on fresh biospecimen directly on the day of sample collection in a highly standardized manner (Table 4). It is a major goal to investigate and to identify novel genetic modifiers of phenotypes and disease risk. To this end, we aimed to genotype all participants using the Affymetrix AXIOM-CEU genome-wide SNP array, addressing a total of 587,352 variants. Genotyping was accompanied by genome-wide gene expression analyses for the whole blood, which was collected in Tempus Blood RNA Tubes (Life Technologies) and transferred to -80 °C prior to further processing. Isolated RNA was processed and hybridised to Illumina HT-12 v4 Expression BeadChips (Illumina, San Diego, CA, USA) and scanned on the Illumina HiScan. We investigated the association of metabolic biomarkers (quantitiative tandem mass spectrometry: amino acidy, fatty acid oxidation, steroids, sterols, eicosanoids, phospholipids, tri- and diacylglycerols, apolipoproteins and others) with major disease phenotypes, the genome and other biomarkers. For the whole blood analysis of 26 amino acids, free carnitine and 34 acylcarnitines, 40 μl of native EDTA whole blood were spotted on filter paper WS 903 (GE Healthcare, Germany). Dried blood spots were stored at -80 °C after 3 h of drying until batch analysis. Sample pretreatment and measurement are described in detail elsewhere [74 (link), 75 (link)]. Analyses were performed on an API 2000 and API 4000 tandem mass spectrometer (Applied Biosystems, Germany). Quantification was performed using ChemoView™ 1.4.2 software (Applied Biosystems, Germany).
In a subcohort of over 900 participants comprising all age groups, a detailed leukocyte subtype phenotyping with an extensive antibody panel was performed from EDTA whole blood samples using 10 colour flow cytometry (Navios flow cytometer, Beckman Coulter, Pasadena, CA, USA) [76 (link), 77 ].
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Publication 2015
acylcarnitine Age Groups Amino Acids Apolipoproteins Biological Markers BLOOD Carnitine Diglycerides Edetic Acid Eicosanoids Exanthema Fatty Acids Flow Cytometry Gene Expression Profiling Genes, Modifier Genome Hematologic Tests Immunoglobulins Leukocytes Metabolism Phospholipids Radionuclide Imaging Specimen Collection Steroids Sterols System, Endocrine Tandem Mass Spectrometry
The lipid compositions of total cell extracts were determined by quantitative shotgun lipidomic analysis as previously described [1] (link). Samples were mixed with 30 µl of internal lipid standard mixture, providing a total spike of 24 pmol DAG 17:0-17:0, 22 pmol PA 17:0-14:1, 41 pmol PE 17:0-14:1, 41 pmol PS 17:0-14:1, 42 pmol PC 17:0-14:1, 40 pmol PI 17:0-14:1, 14 pmol CL 15:0-15:0-15:0-16:1, 22 pmol ceramide 18:0;3/18:0;0, 37 pmol IPC 18:0;2/26:0;0, 36 pmol MIPC 18:0;2/26:0;0, 31 pmol M(IP)2C 18:0;2/26:0;0, and 57 pmol cholesterol-D7. Samples were subsequently subjected to two-step lipid extraction (1 ml of solvent in each step) executed at 4°C. The lower organic phases were collected and evaporated in a vacuum evaporator at 4°C. Lipid extracts were dissolved in 100 µl chloroform/methanol (1∶2; vol/vol) and analyzed by mass spectrometry using a LTQ Orbitrap XL (Thermo Fisher Scientific) equipped with a robotic nanoflow ion source TriVersa NanoMate (Advion Biosciences). PA, PS, PE, PC, CL, PI, IPC, MIPC and M(IP)2C, DAG and lysolipid species were monitored by negative ion mode FT MS analysis, whereas TAG and ceramide species were monitored by positive ion mode FT MS analysis. Sterols were subjected to chemical sulfation and analyzed by negative ion mode FT MS analysis [18] (link).
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Publication 2012
Cell Extracts Ceramides Chloroform Cholesterol isoprocarb Lipids Mass Spectrometry Methanol Solvents Sterols Vacuum
This method takes advantage of the relatively high cholesterol content of the plasma membrane, as compared to other cellular membranes. Digitonin is a ß-sterol binding detergent that selectively solubilizes the plasma membrane, leaving the ER- and nuclear membranes intact. Hence, sequential treatment with digitonin followed by a more lytic detergent, such as an NP-40/DOC cocktail, yields cytosolic- and membrane-bound polysome fractions, respectively (schematically illustrated in Fig. 1A). The various steps of the sequential detergent extraction procedure have been validated by immunofluorescene microscopy, where it can be seen that disruption of the plasma membrane with digitonin results in the release of (depolymerized) tubulin, without effect on the ER, the actin cytoskeleton, or the intermediate filament network (Fig. 1 B). Following addition of the ER lysis buffer, the ER fraction is recovered in a soluble fraction and the nuclei, actin cytoskeleton, and intermediate filament network remain (Fig. 1B). Companion immunoblot analyses of marker protein distributions show that the cytosolic proteins GAPDH and tubulin are present in the cytosol fraction, as expected, and the ER-membrane proteins, TRAPα and ER-lumenal protein, GRP94 are present in the ER fraction (Fig. 2 A). The NP-40 insoluble material consists primarily of nuclear and cytoskeletal elements, as evidenced by the marker proteins histone H3 and actin, respectively (Fig. 2 A). Similarly, Northern blot analysis of the mRNA composition of the cytosol and membrane fractions show that the cytosol fraction is enriched for mRNAs encoding histone (H3F3A) and GAPDH, whereas the membrane fraction is enriched in mRNAs encoding ER resident proteins, such as GRP94 and calreticulin (Fig. 2 B).
The method described below is for cells grown in monolayer. However, the protocol can be easily adapted for non-adherent cells by performing permeabilization, wash and lysis in suspension and pelleting cells at 3000 × g for 5 minutes between the different steps. The volumes of reagents mentioned in the following protocol are scaled to extract polysomes from 10 million cells.
Publication 2011
Actins Buffers Calreticulin Cell Nucleus Cells Cytoskeleton Cytosol Detergents Digitonin GAPDH protein, human Gastrin-Secreting Cells GRP94 Histone H3 Histones Hypercholesterolemia Immunoblotting Intermediate Filaments Membrane Proteins Microfilaments Microscopy Nonidet P-40 Northern Blotting Nuclear Envelope Pets Plasma Membrane Polyribosomes Proteins RNA, Messenger Sterols Tissue, Membrane Tubulin Vision

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Publication 2011
Acetate Anabolism Apolipoproteins B Apolipoproteins E Cholesterol Corn oil Feces Genotype High Density Lipoproteins Intestines, Small Lipids Liver Mice, House Phenobarbital Plasma Radioactivity sitosterol Sterols Tissues

Most recents protocols related to «Sterols»

UFH-001 cells (in 100 mm plates) were exposed to normoxic or hypoxic conditions (as described above) in the presence or absence of BCP (20 or 200 μM) for the times indicated. Cells were washed (3X) with ice cold sterile saline (.0.9% NaCl). The final wash was removed, and methanol (5 mL) was added to the cells and scraped into 25 mL separating flasks. Ten mL of chloroform was added to each flask, shaken, and then left at room temperature for 30 min. Five mL of ice-cold ddH2O was added and mixed. This was placed in a cold room for 72 h to separate the phases. The chloroform phase was collected and dried under nitrogen. Dried samples were reconstituted in chloroform and a subsample was evaporated to dryness under N2. Phospholipids were hydrolyzed with 250 μL 1M KOH in methanol at 50°C for 3 h, followed by 250 μL 6M HCl in MeOH for 15 min at 80°C. FAMEs and sterols were extracted with Diethyl Ether: Hexane (1:1). After evaporating to dryness, silylation of the sterols occurred with 50 μl BSTFA:TCMS (99:1) and 10 mL anhydrous pyridine for 30 min at 37°C. One mL of this solution was injected into an Agilent 7890B Gas Chromatogram in splitless mode with an inlet temperature of 300°C and a DB-5 analytical column (30 m length, 0.25 mm diameter, with a built-in 10 m DuraGuard pre-column) with a flow of 1.12 mL/min (average velocity 23.5 cm/sec). Thermal ramping initiated at 80°C for 1 min, and then ramped 20°C/min to 200°C and then 10°C/min to 325°C and held for 10 min. Analytes were detected with an Agilent 5977A Mass Spectrometer with an EI ion source with the MS in scanning mode (50–600 m/z) and transfer line and ion source temperatures set at 230°C and 150°C, respectively. Peaks within a sample were deconvoluted using MassHunter (Agilent) software and preliminary analyte identities were assigned based on comparison to the NIST14 library [73 (link)] and in-house mass spectral libraries [74 (link)]. Spectral match factor thresholds for identified metabolites was > 85%. Individual metabolites were aligned across samples using an in-house R script implemented in R (4.0.3) through RStudio (2021.09.2 Build 382) using a combination of nearest neighbor and mass spectral similarity indices.
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Publication 2023
ARID1A protein, human cDNA Library Cells Chloroform Cold Temperature Ethyl Ether Hypoxia Methanol ML 23 N,N-bis(trimethylsilyl)-2,2,2-trifluoroacetamide n-hexane Nitrogen Normal Saline Phospholipids pyridine Saline Solution Sterility, Reproductive Sterols
AA MD simulations were carried out with Charmm36 (C36) force field (Huang and MacKerell, 2013 (link)), using a time integration step of 2 fs under periodic boundary conditions applied in all directions and with an overall time length of 500 ns. The Particle Mesh Ewald (PME) method (Essmann et al., 1995 (link)) was used for long-range interactions. For short-range electrostatic and van der Waals interactions, the Verlet cutoff radii (Páll and Hess, 2013 (link)) was set at 1.2 nm. The systems were studied at 299 K. The Nosé-Hoover temperature coupling (Hoover, 1985 (link); Nosé, 2002 (link)) was used with a time constant of 0.5 ps. The average pressure was maintained at one bar by the Parrinello-Rahman barostat (Parrinello and Rahman, 1981 (link)) in a semi-isotropic fashion (pressure in the XY plane independent of the pressure along Z) with a compressibility of 4.5 × 10−5 bar-1 and a coupling constant of 5 ps. All bonds were constrained with the LINCS algorithm (Hess et al., 1997 (link)). Water molecules were described by the TIP3P model (Jorgensen et al., 1983 (link)). All simulations were minimised using the steepest descent algorithm. Equilibrations were carried out using the 6-step protocol provided by CHARMM-GUI for 375 ps.
A water layer of 45 Å thickness was added above and below the lipid bilayer of 128 lipids (64 per leaflet) which resulted in about 12,000 water molecules being incorporated, the exact number depending on the nature of the membrane. Systems were neutralised with K⁺ counterions. Binary systems phospholipid/sterol and the ternary model POPE/POPI/ERGO were mixed in ratio 70/30 and 35/35/30, respectively. The whole process (minimization, equilibration and production run) was repeated once.
“Ligand Reader and Modeller” from CHARMM-GUI was used to generate CHARMM-compatible topologies and parameters files for the anionic RLs form. Penalties reported by CgenFF were between the recommended values for well parametrized molecules (Kim et al., 2017 (link)). RLs were later incorporated to the membrane using the usual CHARMM-GUI workflow (Jo et al., 2009 (link)) and placed either over the upper leaflet at a non-interacting distance (>10 Å) or placed inside the bilayer at the beginning of the simulation.
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Publication 2023
1-palmitoyl-2-oleoylphosphatidylethanolamine Electrostatics Familial Mediterranean Fever Ligands Lipid Bilayers Phospholipids Pressure Radius Sterols Tissue, Membrane
Brain tumor tissue (4mg) was homogenized in extraction solution by mixing acetonitrile, isopropanol and water in proportions 3:3:2 (JT Baker, Center Valley PA), then vortexed for 45 seconds and then 5 minutes at 4C. Following centrifugation for 2 minutes at 14,000 rcf, two aliquots of the supernatant (500 μL each aliquot) were made for analysis and one for backup. One aliquot was dried via evaporation overnight in the Labconco Centrivap cold trap concentrator (Labconco, Kansas City MO). The dried aliquot was then resuspended with 500μL 50% acetonitrile (degassed as given), then centrifuged for 2 minutes at 14,000 rcf using the centrifuge Eppendorf 5415. The supernatant was moved to a new Eppendorf tube and again evaporated to dryness. Internal standards (C08-C30, fatty acid methyl esters) were then added and the sample was derivatized by methoxyamine hydrochloride in pyridine and subsequently by N-methyl-N-trimethylsilyltrifluoroacetamide for trimethylsilylation of acidic protons. Data were acquired as previously described.45 (link) Briefly, metabolites were measured using a Restek corporation rtx5Sil-MS column (Restek Corporation; Bellefonte PA; 30 m length x 0.25 mm internal diameter with 0.25μm film made of 95% dimethyl/5%diphenylpolysiloxane) protected by a 10m long empty guard column which is cut by 20cm intervals whenever the reference mixture QC samples indicate problems caused by column contaminations. This sequence of column cuts has been validated by UC Davis Metabolomics Core with no detrimental effects detected with respect to peak shapes, absolute or relative metabolite retention times or reproducibility of quantifications. This chromatography method yields excellent retention and separation of primary metabolite classes (amino acids, hydroxyl acids, carbohydrates, sugar acids, sterols, aromatics, nucleosides, amines and miscellaneous compounds) with arrow peak widths of 2–3 seconds and very good within-series retention time reproducibility of better than 0.2s absolute deviation of retention times. The mobile phase consisted of helium, with a flow rate of 1 mL/min, and injection volume of 0.5 μL. The following mass spectrometry parameters were used: a Leco Pegasus IV mass spectrometer with unit mass resolution at 17 spectra s-1 from 80-500 Da at −70 eV for elution of metabolites. As a quality control, for each sequence of sample extractions, one blank negative control was performed by applying the total procedure (i.e. all materials and plastic ware) without biological sample. Result files were transformed by calculating the sum intensities of all structurally identified compounds for each sample (i.e. those signals that had been positively identified in the data pre-processing schema outlined above), and subsequently dividing all data associated with a sample by the corresponding metabolite sum. The resulting data were multiplied by a constant factor in order to obtain values without decimal places. Intensities of identified metabolites with more than one peak (e.g. for the syn- and anti-forms of methoximated reducing sugars) were summed to only one value in the transformed data set. The original nontransformed data set was retained. The general concept of this data transformation is to normalize data to the ‘total metabolite content’, but disregarding unknowns that might potentially comprise artifact peaks or chemical contaminants.
Publication Preprint 2023
acetonitrile Acids Amines Amino Acids AT 17 Biopharmaceuticals Brain Neoplasms Carbohydrates Centrifugation Chromatography Cold Temperature Esters factor A Fatty Acids Helium Hydroxy Acids Isopropyl Alcohol Mass Spectrometry methoxyamine hydrochloride Neoplasm Metastasis Nucleosides Protons pyridine Retention (Psychology) Sterols Sugar Acids Sugars Tissues
Trifluoroacetic anhydride (TFAA), cholesta-3β,5α,6β-triol, sterols, cholest-5-en-25,26,26,26,27,27,27-d7-3β-ol, meta-chloroperoxybenzoic acid, H2O2, N,O-bis(triméthylsilyl)trifluoroacetamide (BSTFA) and chemical reagents were obtained from Sigma-Aldrich. The synthesis of standards of the stera-3β,5α,6β-triols corresponding to campesterol, sitosterol, brassicasterol, dehydrocholesterol and stigmasterol involved epoxidation with meta-chloroperoxybenzoic acid in dry methylene chloride, and subsequent acid-catalyzed hydrolysis [37 (link)]. These compounds were purified subsequently using column chromatography as described below for the internal standard.
The internal standard used (cholesta-25,26,26,26,27,27,27-d7-3β,5α,6β-triol) was synthesized by KI/H2O2 oxidation of the corresponding heptadeuterosterol [38 (link)]. Cholest-5-en-25,26,26,26,27,27,27-d7-3β-ol (5 mg), KI (2.2 mg) and dioxane/water (0.9 mL, 2:1, v/v) were placed in a 20 mL flask, and then H2SO4 (98%, 5 µL) and H2O2 (30%, 10 µL) were added sequentially at room temperature under magnetic stirring. After stirring for 1 h at room temperature, the system was stirred for 3 h at 60 °C and the reaction mixture was then neutralized with anhydrous Na2CO3 (2.2 mg) and treated with a saturated solution of Na2SO3 (4 mL). The crude triol was extracted twice (4 mL) with ethyl acetate and the organic extracts were evaporated to dryness under nitrogen at 50 °C. The crude triol was then purified using column chromatography (silica, Kieselgel 60 with 55% water, 6 × 0.6 cm). The column was conditioned with CH2Cl2. After elimination of the residual sterol with CH2Cl2 (8 mL), the triol was eluted with CH3CN (6 mL).
The standard solutions of cholesta-3β,5α,6β-triol and internal standard were prepared by dissolving 10 mg measures of these compounds (weighted) in 10 mL of methanol. Dilutions were also carried out in methanol.
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Publication 2023
3-chloroperbenzoic acid Acids Anabolism brassicasterol campesterol Chromatography Dehydrocholesterols dioxane ethyl acetate Hydrolysis Methanol Methylene Chloride N,N-bis(trimethylsilyl)-2,2,2-trifluoroacetamide Nitrogen Peroxide, Hydrogen Silicon Dioxide sitosterol Sterols Stigmasterol Technique, Dilution trifluoroacetamide trifluoroacetic anhydride
To 1.5 mL of each extract, 1.5 mL of chloroform and 1.5 mL of concentrated H2SO4 were added and stirred for 5 min. If the chloroform layer was seen to change to red color, and if the formation of the acid layer showed fluorescent yellow-green color, then the presence of sterols was confirmed.
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Publication 2023
Acids Chloroform Sterols Vision

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Cholesterol is a lab equipment product that measures the concentration of cholesterol in a given sample. It provides quantitative analysis of total cholesterol, HDL cholesterol, and LDL cholesterol levels.
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HPLC grade solvents are high-purity organic solvents designed for use in high-performance liquid chromatography (HPLC) applications. These solvents are meticulously filtered and purified to minimize the presence of impurities and ensure consistent performance in HPLC systems.
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Ergosterol is a lipid molecule found in the cell membranes of fungi. It is a key component of the fungal cell membrane and plays a critical role in maintaining the structural integrity and permeability of the membrane. Ergosterol is often used as a biomarker for the presence and quantification of fungi in various applications, such as environmental monitoring and pharmaceutical quality control.
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β-sitosterol is a phytosterol compound commonly found in plants. It is a naturally occurring sterol that is structurally similar to cholesterol. β-sitosterol is often used as a reference standard in analytical applications.
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Anhydrous pyridine is a clear, colorless liquid chemical compound used as a solvent and reagent in various laboratory applications. It serves as a versatile precursor for the synthesis of other organic compounds. Anhydrous pyridine is formulated to provide a high level of purity and dryness, making it suitable for sensitive reactions and procedures that require anhydrous conditions.
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Stigmasterol is a plant-derived sterol compound commonly used as a reference standard and analytical tool in laboratory settings. It serves as a key component in various analytical techniques, such as chromatography and spectroscopy, to identify and quantify similar sterol compounds in samples. Stigmasterol's core function is to provide a reliable and well-characterized reference point for the analysis and identification of other sterols in research and testing applications.
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Campesterol is a plant sterol compound found in various plant sources. It is a natural component that can be isolated and used as a reference standard or analytical tool in laboratory settings.
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The Amplex Red Cholesterol Assay Kit is a fluorometric assay used to measure total cholesterol levels in biological samples. The kit utilizes the Amplex Red reagent, which produces a fluorescent product upon reaction with hydrogen peroxide generated from the cholesterol oxidase-catalyzed oxidation of cholesterol.
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Xcalibur is a software package developed by Thermo Fisher Scientific for the control and management of mass spectrometry instrumentation. It provides a comprehensive suite of tools for data acquisition, processing, and analysis. The software's core function is to enable users to operate and interact with Thermo Fisher Scientific's mass spectrometry systems.
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N-TER is a laboratory equipment product manufactured by Merck Group. It is designed for use in scientific and research applications. The core function of N-TER is to provide a controlled and reliable environment for various experimental and analytical procedures.

More about "Sterols"

Steroids, Cholesterol, Ergosterol, β-sitosterol, Stigmasterol, Campesterol, Cell Membranes, Cell Signaling, Hormone Regulation, Metabolic Pathways, HPLC, Amplex Red Cholesterol Assay Kit, Xcalibur Software, Anhydrous Pyridine, N-TER