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Membrane Lipids

Membrane lipids are a diverse class of biomolecules that form the fundamental building blocks of cellular membranes.
These lipids, including phospholipids, glycolipids, and sterols, play crucial roles in maintaining the structural integrity, fluidity, and permeability of cell membranes.
Membrane lipids also serve as signaling molecules, participating in a wide range of cellular processes such as cell signaling, transport, and energy metabolism.
Understanading the complexities of membrane lipid composition and dynamics is essential for advancing research in fields like cell biology, physiology, and pharmacology.
PubCompare.ai's AI-driven platform provides researchers with a powerful tool to explore the world of membrane lipids, leveraging smart comparisons and data-driven insights to optimize their studies for reproducibility and accuracy.
Experieince the difference with PubCompare.ai today and take your membrane lipid research to new heights.

Most cited protocols related to «Membrane Lipids»

Mouse UCP2 (residues 14–309, with a C-terminal His6 tag) was expressed using a pET-21 vector in E. Coli Rossetta DE3 cells. After cell lysis, the lipid composition of the membrane fraction was adjusted by adding DMPC, cardiolipin, and phytanoyl lipids. The protein was extracted using 0.2% DPC in the presence of GDP. The solubilized UCP2 was then subjected to a series of purification steps including Ni-NTA affinity, MonoQ ion exchange, nucleotide-analog affinity, and size exclusion chromatography. The final NMR sample contained 0.8 mM UCP2, 5 mM GDP, 150 mM DPC, 2 mM DMPC, 1 mM cardiolipin, 5 mM β-mercatpoethanol, 30 mM potassium phosphate (pH 6.5), and 80 mM NaCl.
NMR experiments were conducted at 33 °C on spectrometers equipped with cryogenic probes. Sequence specific assignment of backbone chemical shifts was accomplished using three pairs of triple-resonance experiments and a double 15N-edited NOESY, recorded on (15N-, 13C, 2H) labeled protein. RDCs were obtained using an aligned sample containing 0.5 mM UCP2 and 20 mg/ml DNA nanotube19 (link) (other components same as above). 1DNH was measured using the J-scaled TROSY-HNCO experiment. 1DC’Cα and 1DNC’ were measured using TROSY-HNCO with quantitative-JC’Cα and -JNC’ modulations, respectively. For obtaining PREs, we generated a Cys-less UCP2 mutant and introduced single cysteines at desired positions for labeling with MTSL (METHODS). Residue-specific broadening of protein resonances was measured with two TROSY-HNCO spectra, one recorded after nitroxide labeling and another after reducing the nitroxide free electron with ascorbic acid.
Structure determination had two stages: 1) determining local structural segments by RDC-based MFR protocol and 2) determining the spatial arrangement of the MFR-derived segments using PRE distance restraints. Structures were calculated using XPLOR-NIH30 with backbone ϕand ψ of the assigned structured segments, RDCs, and PRE-derived distances. A total of 30 structures were calculated using a simulated annealing protocol, and 15 low-energy structures were selected as the structural ensemble (statistics in Supplementary Table 1).
Publication 2011
Ascorbic Acid Cardiolipins Cells Cloning Vectors Cysteine Dimyristoylphosphatidylcholine Electrons Gel Chromatography his6 tag Ion Exchange Lipids Membrane Lipids Mus nitroxyl Nucleotides potassium phosphate Pressure Proteins Ring dermoid of cornea Sodium Chloride Vertebral Column Vibration
Empirical force field parameters
for the proteins were CHARMM36,50 (link) ligand
molecules were derived from CGenFF,51 (link) and
water was treated using the TIP3P model.52 Protein preparation simulations were performed using CHARMM53 (link) (section S1, Table S1), while the production phase of the GCMC/MD simulations were performed
using in-house code for the GCMC and GROMACS54 for the MD portions of the calculations. The protein systems are
immersed in an aqueous solution (along with the lipid membrane and
cholesterol in case of the GPCRs) containing approximately 0.25 M
of each of the small solutes: benzene, propane, acetaldehyde, methanol,
formamide, imidazole, acetate, and methylammonium.
Publication 2015
Acetaldehyde Acetate Benzene formamide imidazole Membrane Lipids Methanol methylammonium ion Propane Proteins
Information about flow cytometry analyses is given according to the recommendations of the International Society for Advancement of Cytometry (ISAC) [38] (link). These analyses were conducted to evaluate some functional parameters of spermatozoa, such as plasma membrane integrity and permeability, membrane lipid disorder, intracellular calcium levels, or ROS levels in extended and FT spermatozoa after a HT of 3 h or 24 h. In each case, sperm concentration was adjusted to 1×106 spermatozoa·mL−1 in a final volume of 0.5 mL, and spermatozoa were then stained with the appropriate combinations of fluorochromes. Plasma membrane integrity was assessed through SYBR-14/PI assay according to the protocol described by Garner and Johnson [39] (link), as well as through PNA-FITC/PI co-staining following the procedure described by Nagy et al. [40] (link). In addition, changes in the permeability of sperm plasma membrane were evaluated through co-staining with YO-PRO-1 and PI, following Martin et al. [24] (link), and membrane lipid disorder was assessed using the protocol for Merocyanine 540 (M-540) and YO-PRO-1 described by Harrison et al. [41] (link). Intracellular calcium levels of spermatozoa were determined through Fluo3-AM/PI co-staining [42] (link). Levels of peroxides and superoxides were evaluated through H2DCFDA/PI and HE/YO-PRO-1, respectively, according the protocol described by Guthrie and Welch [43] (link). Finally, data was corrected following Petrunkina et al. [44] (link) by determining the percentage of non-DNA-containing particles, to avoid an overestimation of sperm particles. All protocols are described in detail in Information S1.
In all cases, samples were evaluated through a Cell Laboratory QuantaSC™ cytometer (Beckman Coulter; Fullerton, CA, USA; Serial Number: AL300087) using single-line visible light (488 nm) from an argon laser. A minimum of 10,000 events per replicate was evaluated, and data was collected in List-mode Data files (.LMD) and analysed using the Cell Lab Quanta SC MPL Analysis Software (version 1.0; Beckman Coulter). In all cases except for the SYBR-14/PI assessment, data obtained from flow cytometry experiments were corrected according to the procedure set by Petrunkina et al. [44] (link). Each assessment for each sample and parameter was repeated three times in independent tubes, prior to calculating the corresponding mean±SEM. Technical details are also given in Information S1.
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Publication 2014
2',7'-dichlorodihydrofluorescein diacetate Argon Ion Lasers Biological Assay Calcium Cell Membrane Permeability Cells DNA Replication Flow Cytometry fluorescein isothiocyanate-peanut agglutinin Fluorescent Dyes Light, Visible Lipid Metabolism Disorders Membrane Lipids merocyanine 540 Permeability Peroxides Plasma Membrane Protoplasm Sperm Superoxides SYBR-14 Tissue, Membrane YO-PRO 1
After defining the high-confidence core and ranking all non-core reactions, our algorithm attempts to sequentially remove each non-core reaction, starting from those ranked at the bottom (lowest evidence). The selected reaction will be removed only if (i) the core set of reaction remains consistent; and (ii) removal does not prevent model from producing any key metabolites. Reactions in high-confidence core set can only be removed when (i) reactions in the negative reaction set (reactions with Ex(r) =0) are needed to enable flux through the high confidence core reactions; (ii) by removing the high confidence core reactions, more non-core reactions (including those in the negative reaction set) will be removed. Consistency of the core reaction set is confirmed by calculating the maximum and minimum flux for each reaction, and ensuring that at least one is non-zero. As the naïve implementation of flux variability analysis (FVA) is extremely slow, we adapted the checkModelConsistency module described by Jerby et al. in [14 (link)] for optimal performance in Matlab—in particular, we included the option to use the efficient fastFVA algorithm [27 (link)].
The list of key metabolites that must be produced from glucose is compiled based on the universal metabolic model validation test in [18 (link)]. This includes metabolites in glycolysis, TCA cycle, pentose phosphate pathway, as well as non-essential amino acids, nucleotides, palmital-CoA, cholesterol, and several membrane lipids. A full list of these key metabolites is in Additional file 3: Table S1. Instead of testing the production of all non-essential fatty acids, as in [18 (link)], we only tested the production of palmital-CoA, which is derived from palmitate, the first fatty acid produced in fatty acid synthesis, and the precursor of longer chain fatty acids. Similarly, we only tested those membrane lipids that can be derived from glucose and non-essential amino acids. With the addition of essential nutrients like choline, these membrane lipids can be transformed to other membrane lipids such as phosphatidylcholine and sphingomyelin that cannot be directly synthesized from glucose. We only check the production of pyrimidine nucleotides from glucose, as de novo pyrimidine synthesis can occur in a variety of tissues [22 ]. As de novo purine synthesis occurs primarily in the liver and other tissues use the salvage pathway [22 ], we test the ability of all tissues to synthesize purine nucleotides from purines bases and 5-phosphoribosyl 1-pyrophophate (PRPP).
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Publication 2012
Amino Acids, Essential Anabolism Cholesterol Choline Citric Acid Cycle Fatty Acids Fatty Acids, Essential Glucose Glycolysis Lecithin Liver Membrane Lipids Nucleotides Nutrients Palmitate Pentose Phosphate Pathway Phosphoribosyl Pyrophosphate purine Purine Nucleotides Pyrimidine Nucleotides Pyrimidines Sphingomyelins Tissues
Two M2 constructs, M2TM (residues 22–46) and M2(21–61) were synthesized using Fmoc solid-phase chemistry (PrimmBiotech, Cambridge, MA) and purified to >95% purity. Uniformly 13C, 15N-labeled amino acids (Sigma-Aldrich and Cambridge Isotope Laboratories) were incorporated at residues V27, S31, G34 and D44. The first three labeled residues test the pore-binding site, whereas the labeled D44 tests the presence of the surface binding site. Most other residues implicated in surface binding by the solution NMR study13 (link) showed longer distances to Rmt than D44, and thus were not labeled. Unlabeled peptides were used for static 2H quadrupolar echo experiments to determine the number of drugs bound to the channel and the effect of membrane composition on drug binding.
The M2 peptides were reconstituted into lipid membranes by detergent dialysis. For the 13C, 15N-labeled peptides, the peptide : lipid molar ratios were 1:8 for M2TM and 1:15 for M2(21–61), which corresponded to similar mass ratios of ~ 1 : 2. Three lipid membranes were used in this study: 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) bilayer and two mixed membranes mimicking the virus envelope lipid composition to different extents. The virus-mimetic (VM) membrane is composed of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC), 1,2-dipalmitoyl-sn-glycero-3-phosphoethanolamine (DPPE), egg SPM, which contains predominantly saturated palmitoyl chains, and cholesterol at a molar ratio of 21% : 21% : 28% : 30%. The modified virus-mimetic (VM+) membrane contains 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC), 1-palmitoyl-2-oleoyl-sn-glycero-3-1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE), SPM and cholesterol at a molar ratio of 25.6% : 25.6% : 25.6% : 23%. Thus, the cholesterol mole fraction is moderately reduced in the VM+ membrane.
For the mixed membrane samples, the lipids were codissolved in chloroform and methanol and then dried under a stream of nitrogen gas to remove the bulk of the organic solvents. The film was redissolved in cyclohexane, frozen and lyophilized to obtain a completely dry homogeneous powder. This lipid powder was suspended in a pH 7.5 phosphate buffer (10 mM Na2HPO4/NaH2PO4, 1 mM EDTA, 0.1 mM NaN3) and freeze-thawed 6 times to produce a uniform vesicle suspension. The peptides were reconstituted into the lipid vesicles by dialysis using octylglucoside.21 (link) The proteoliposome mixtures were centrifuged at 150,000 g to obtain ~40% hydrated membrane pellets, which were packed in 4 mm rotors for solid-state NMR experiments. Perdeuterated amantadine (d15-Amt) was directly titrated into the membrane pellet. After pellet formation and drug addition, samples for static 2H NMR experiments were lyophilized and rehydrated to ~40% with 2H-depleted water to ensure that d15-Amt was the only source of the 2H NMR signal. For 13C-2H REDOR experiments, d15-Amt was added at a ratio of 1 or 5 drugs per tetramer, corresponding to drug/lipid molar ratios of 1 : 60 or 1 : 12, respectively.
Publication 2011
1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine 1-palmitoyl-2-oleoylphosphatidylcholine Amantadine Amino Acids Binding Sites bis(diphenylphosphine)ethane Buffers Chloroform Cholesterol Cyclohexane Detergents Dialysis Dietary Fiber Dimyristoylphosphatidylcholine ECHO protocol Edetic Acid Freezing Glycerylphosphorylcholine Isotopes Lipids Membrane Lipids Methanol Molar Nevus Nitrogen octyl glucoside Pellets, Drug Peptides Pharmaceutical Preparations Phosphates Phosphatidylethanolamines Powder Sodium Azide Solvents Tetrameres Tissue, Membrane Viral Envelope viral envelope lipids Virus

Most recents protocols related to «Membrane Lipids»

EXAMPLE 4

A membrane permeability assay using Sytox green dye was performed to examine whether the bactericidal effect is directly related to the disruption of membrane integrity. Fluorescence intensity of Sytox green increases when the membrane-impermeable dye intercalates into the intracellular nucleic acids upon diffusion through the damaged membranes. No fluorescence change was observed from Msm treated with OCG at 2×MIC for 1 h (FIG. 7). An additional assay commonly used for membrane damage was also conducted. Non-fluorescent hydrophobic N-phenyl-2-naphthylamine (NPN) becomes fluorescent upon interacting with damaged hydrophobic lipids in the membrane. Even after treating Msm with OCG at 4×MIC for 1 h, no fluorescence intensity increase was observed (FIG. 8). Both results indicated bactericidal effects of OCG may not be related to physical membrane damage.

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Patent 2024
Biological Assay Cell Membrane Permeability Diffusion Fluorescence Membrane Lipids Nucleic Acids Physical Examination Protoplasm SYTOX Green Tissue, Membrane

Example 13

As shown in FIG. 19, fumagillin dissolved in a lipid membrane rapidly releases in vivo, making it practically ineffective in vivo. FIG. 20 shows, however, the in vivo effectiveness of a fumagillin prodrug administered in a nanoparticle of the invention. In particular, the figure shows the in vivo MR signal enhancement post treatment with targeted fumagillin nanoparticles (a-b) and control (no drug, c-d); Reduced Matrigel implant volume (%) in rats treated with αvβ3-integrin-targeted nanoparticles with 2.28 mole % fumagillin-PD vs. αvβ3-integrin-targeted nanoparticles with 2.28% fumagillin, αvβ3-integrin-targeted nanoparticles without drug, nontargeted nanoparticles with 2.28 mole % fumagillin-PD.

FIG. 21 shows the effect of the fumagillin prodrug in an in vitro cell proliferation assay. The left panel shows the effects of fumagillin prodrug incorporated nanoparticles and control nanoparticles (targeted no drug, non targeted and targeted fumagillin) on human umbilical vein endothelial cells (HUVEC) for cell proliferation by CyQuant NF assay and the right panel shows cell metabolic activity by Alamar Blue assay.

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Patent 2024
Alamar Blue Biological Assay Cell Proliferation Cells Drug Delivery Systems fumagillin Human Umbilical Vein Endothelial Cells Integrin alphaVbeta3 matrigel Membrane Lipids Nevus Patient Discharge Pharmaceutical Preparations Prodrugs Rattus

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Publication 2023
Aftercare Apoptosis Cell Death Cell Nucleus Cells diacetyldichlorofluorescein dichlorofluorescin FITC-annexin A5 Flow Cytometry Fluorescence Fluorescent Dyes Lipid A Lipid Peroxidation Membrane Lipids Microscopy, Fluorescence Necrosis Plasma Membrane Population Group Propidium Iodide Protoplasm
We assume that, at early time stages when the membrane deformations
are small, the membrane height is given by h(x, t) = h0 + h1(x, t) with h1h0 where h0 is the height of undeformed membrane. In the
limit ∂h/∂x
1, to a linear order in h1, the pressure
difference p across the lipid membrane is given by where k
10–19 J is the bending modulus of the membrane,
and AH ∼ 10–21 J is the Hamaker constant that characterizes the vdW interactions
between membrane and the aluminum substrate. The local mass conservation
of the incompressible lipid membrane and the incompressible fluid
underneath require that the rate of change of height h be governed by spatial variation of the liquid flux hU in the horizontal direction, where U is horizontal
flow speed. To a linear order in h1, the
mass conservation of a thin liquid film is given by where μ is the dynamic
viscosity of the solvent. Equations 4 along with 3 constitute our
elastohydrodynamic theory. Since the coefficients in eq 4 are independent of x and t, we explored the solutions of the form h1 = |h1|e(iqx+st), where |h1| is the fluctuation amplitude at t =
0 resulting from the thermal energy, q is the wavenumber
of a given mode, and s is the corresponding inverse
deformation time scale. In dimensionless units, substituting this
relation into eq 4, we
arrive at the following dispersion relation with critical wavenumber . For numerical implementation we used the
open source finite element analysis (FEA) library FEniCS on Python
3.6.83 (link) At t = 0, the membrane
height profile is given by h(x)
= 1 + 0.001 cos(qx), and the time evolution is subject
to the following boundary conditions: at x = 0 we
set U = 0, , and ; at x = 1 we set h = 1, p = 0, and .
Publication 2023
Aluminum Biological Evolution cDNA Library Lipids Membrane Lipids Solvents Tissue, Membrane
ROS destroying the bacterial membrane generally accompanies with the production of lipid peroxide radical, thereby forming the malondialdehyde (MDA). To verify the role of ROS in breaking the bacterial membrane (Ayaz Ahmed and Anbazhagan, 2017 (link)), MDA expression was detected by TBA assay. Briefly, 10% TCA was introduced into the bacterial liquid that was co-cultured with EG for 24 h, followed by the addition of 0.67% TBA to incubate for 1 h at 95°C. After being cooled to room temperature, the reaction mixture was centrifuged at 6000 rpm for 15 min, and the absorbance of the supernatant was measured at 532 nm using a microplate reader. Bacteria treated with 10 μM hydrogen peroxide and untreated bacteria were used as positive and negative controls, respectively.
In addition, excessive ROS is inclined to reduce the intracellular concentration of GSH and then weaken the anti-oxidation ability of bacteria, thus leading to lipid peroxidation of the membrane (Rahman et al., 2007 (link)). Hence, GSH expression induced by EG was detected by DTNB assay. Briefly, the bacterial liquid, co-cultured with EG for 24 h, was collected and cracked on ice with 10% TCA solution for 15 min. Then, 200 μl of the bacterial lysate was mixed with 1,800 μl Tris buffer (30 mM, pH 8.3) and 100 μl 0.1% DTNB for the incubation of 90 min in the dark at room temperature. After that, the absorbance of solutions was monitored at 412 nm using a microplate reader. Bacteria treated with 10 μM hydrogen peroxide and untreated bacteria were used as positive and negative controls, respectively. The relative production of MDA or GSH was estimated as the following formula:
Where ODs, ODn, and ODp represent the detected absorbance of solutions for the sample group, negative and positive control, respectively.
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Publication 2023
Bacteria Biological Assay Dithionitrobenzoic Acid Lipid Peroxides Malondialdehyde Membrane Lipids Peroxide, Hydrogen polyvalent mechanical bacterial lysate Protoplasm Tissue, Membrane Tromethamine

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The Minute™ Plasma Membrane-Derived Lipid Raft Isolation Kit is a laboratory product designed to isolate lipid rafts from cell membranes. Lipid rafts are specialized microdomains within the plasma membrane that are involved in various cellular processes. The kit provides a method to separate and collect these membrane domains for further analysis.
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The P-6002 is a high-precision digital pipette from Echelon Biosciences. It is capable of accurate and precise liquid handling across a volume range of 0.1 to 10,000 μL, with adjustable volume settings. The P-6002 features an ergonomic design and an easy-to-read digital display for user convenience.
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Fatty acid-free bovine serum albumin (BSA) is a purified, sterile-filtered protein preparation derived from bovine serum. It is commonly used as a stabilizing agent and carrier protein in various biochemical and cell culture applications.
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More about "Membrane Lipids"

Membrane lipids are a diverse class of biomolecules that form the fundamental building blocks of cellular membranes.
These lipids, including phospholipids, glycolipids, and sterols, play crucial roles in maintaining the structural integrity, fluidity, and permeability of cell membranes.
Membrane lipids also serve as signaling molecules, participating in a wide range of cellular processes such as cell signaling, transport, and energy metabolism.
Understanding the complexities of membrane lipid composition and dynamics is essential for advancing research in fields like cell biology, physiology, and pharmacology.
Researchers can leverage tools like Membrane Lipid Strips, Minute™ Plasma Membrane-Derived Lipid Raft Isolation Kits, and Membrane Lipid Arrays to study the intricate interactions and functions of these biomolecules.
Fatty acid-free BSA, PKH67, and PKH26 are also commonly used in membrane lipid research, as they help isolate, label, and visualize these lipids within cellular and subcellular structures.
The Mini-extruder is another valuable tool, as it allows for the creation of liposomes and other membrane models for in vitro studies.
PubCompare.ai's AI-driven platform provides researchers with a powerful tool to explore the world of membrane lipids, leveraging smart comparisons and data-driven insights to optimize their studies for reproducibility and accuaracy.
Experience the difference with PubCompare.ai today and take your membrane lipid research to new heights. 'OtherTerms': Phospholipids, Glycolipids, Sterols, Cell Signaling, Transport, Energy Metabolism, Cell Biology, Physiology, Pharmacology, Liposomes, Lipid Rafts, Fatty Acid-free BSA, PKH67, PKH26, Mini-extruder, PIP Strips