The largest database of trusted experimental protocols
> Anatomy > Cell Component > Plasma Membrane

Plasma Membrane

The plasma membrane is the outermost layer of a cell that separates the cell's interior from the extracellular environment.
It is a selectively permeable barrier that controls the passage of molecules in and out of the cell.
The plasma membrane is composed of a bilayer of phospholipids, with embedded proteins that facilitate various cellular functions such as signaling, transport, and cell-cell interactions.
Understanding the structure and function of the plasma membrane is crucial for research in cell biology, physiology, and medicine, as it plays a central role in many cellular processes.
PubCompare.ai's AI-driven platform can optimize plasma membrane research by helping users find the best protocols and products, while comparing literature, pre-prints, and patents to enhance reproducibility and accuracy.
Experience streamlined research with PubCompare.ai - your one-stop-shop for plasma membrame optimization.

Most cited protocols related to «Plasma Membrane»

To account for proteins targeted to some of the common bacterial hyperstructures and host-destined SCLs, new subcategory localizations have been introduced in PSORTb 3.0, as listed in Table 1. This represents, to our knowledge, the first implementation of subcategories for primary SCL localizations, for an SCL predictor. These subcategory localizations for a protein were identified using the SCL-BLAST module, which infers localization by homology using criteria that are of measured high precision (Nair and Rost, 2002 (link)). Proteins detected to have a secondary localization are also predicted as one of the four main categories for Gram-positive bacteria or one of five main compartments for Gram-negative bacteria (or similarly for those bacteria with atypical cell structures). Any protein exported past the outer-most layer of the bacterial cell is considered as extracellular, whereas proteins localized to one of the membranes that are part of a hyperstructure (such as the flagellum) are identified both as an inner or outer membrane protein as well as a protein of that hyperstructure. The basal components of the flagellum are not annotated as such, since they are often homologous to proteins that are not part of the flagellar apparatus (for example, a general ATPase).

New subcategory SCLs predicted by PSORTb 3.0

SCL subcategoriesDescription
Host-associatedAny proteins destined to the host cell cytoplasm, cell membrane or nucleus by any of the bacterial secretion systems
Type III secretionComponents of the Type III secretion apparatus
FimbrialComponents of a bacterial or archaeal fimbrium or pilus
FlagellarComponents of a bacterial or archaeal flagellum
SporeComponents of a spore
Publication 2010
Adenosine Triphosphatases Archaea Bacteria Bacterial Fimbria Cell Nucleus Cells Cellular Structures Cytoplasm Flagella Gram-Positive Bacteria Gram Negative Bacteria Membrane Proteins Plasma Membrane Proteins secretion Spores Staphylococcal Protein A Tissue, Membrane
The regulatory networks were reverse engineered by ARACNe49 (link) from 20 different datasets: two B-cell context datasets profiled on Affymetrix HG-U95Av2 and HG-U133plus2 platforms, respectively; a high-grade glioma dataset profiled on Affymetrix HG-U133A arrays; and 17 human cancer tissue datasets profiled by RNASeq from TCGA (Table 1). The Affymetrix platform datasets were summarized by MAS5 (affy R-package50 ,51 (link)) using probe-clusters generated by the “cleaner” algorithm52 (link). Cleaner generates ‘informative’ probe-clusters by analyzing the correlation structure between probes mapping to the same gene and discarding non-correlated probes, which might represent poorly hybridizing or cross-hybridizing probes52 (link). The RNASeq level 3 data were downloaded from TCGA data portal, raw counts were normalized to account for different library size and the variance was stabilized by fitting the dispersion to a negative-binomial distribution as implemented in the DESeq R-package53 (link) (Bioconductor54 (link)). ARACNe was run with 100 bootstrap iterations using all probe-clusters mapping to a set of 1,813 transcription factors (genes annotated in Gene Ontology Molecular Function database (GO)55 (link) as GO:0003700—‘transcription factor activity’, or as GO:0004677—‘DNA binding’ and GO:0030528—‘Transcription regulator activity’, or as GO:0004677 and GO: 0045449—‘Regulation of transcription’), 969 transcriptional co-factors (a manually curated list, not overlapping with the transcritpion factor list, built upon genes annotated as GO:0003712—‘transcription cofactor activity’ or GO:0030528 or GO:0045449) or 3,370 signaling pathway related genes (annotated in GO Biological Process database as GO:0007165—‘signal transduction’ and in GO Cellular Component database as GO:0005622—‘intracellular’ or GO:0005886—‘plasma membrane’) as candidate regulators. Parameters were set to 0 DPI (Data Processing Inequality) tolerance and MI (Mutual Information) p-value threshold of 10−8. The regulatory networks based on ChIP experimental evidence were assembled from ChEA and ENCODE data. The mode of regulation was computed based on the correlation between TF and target gene expression as described below.
Publication 2016
B-Lymphocytes Biological Processes Cellular Structures DNA Chips DNA Library Gene Expression Genes HNF1A protein, human Homo sapiens Immune Tolerance Malignant Glioma Malignant Neoplasms Plasma Membrane Protoplasm Signal Transduction Tissues Transcription, Genetic Transcription Factor
The protein data used to train TargetP 2.0 were extracted from the UniProt database, release 2018_04 (UniProt-Consortium, 2014 (link)). The negative dataset consists of proteins without either signal or transit peptides from the nucleus, cytoplasm, and plasma membrane (without SPs) and with experimental annotation (ECO:0000269) of their subcellular localisation. The positive set contained secreted, mitochondrial, chloroplastic, and luminal proteins with experimental annotation of their signal or transit peptide. The final set consists of 9,537 noTPs, 2,697 with SPs, 499 mTPs, 227 cTPs, and 45 luTPs (see Table S1). Note that although a thylakoid targeting signal, as described in the introduction, consists of a cTP followed by an SP-like luTP, the first CS (for the stromal processing peptidase) is almost never annotated in UniProt. We were, therefore, not able to predict this CS for thylakoid proteins, only the second cleavage by thylakoidal processing peptidase will be predicted. Hereafter, “luTP” will refer to the entire thylakoid targeting signal. The dataset was further divided into four groups representing the eukaryotic kingdoms Viridiplantae, Metazoa, and Fungi and a group of other eukaryotes.
We also trained unique predictors for each eukaryotic kingdom; unfortunately, this resulted in a decrease in performance by about 5%. Most likely, this is due to smaller training sets and that the targeting peptides do not differ significantly between the kingdoms.
PSI-CD-HIT (Li & Godzik, 2006 (link)) was used to cluster the first 200 residues of each protein with 20% of identity or 10−6 E-value using Basic Local Alignmst Search Tool and alignment coverage of at least 80% of the shorter sequence. We performed a stringent homology partitioning to get a realistic assessment of generalisation performance. Each cluster of homologous proteins was assigned to one of five cross-validation groups to ensure that similar proteins were not mixed between the different datasets.
Full text: Click here
Publication 2019
Cell Nucleus Chloroplasts chlorotriphenylsilane Cytokinesis Cytoplasm Eukaryota Eukaryotic Cells Fungi Generalization, Psychological Green Plants Metazoa Mitochondria Peptides Phenobarbital Plasma Membrane Protein Annotation Proteins Sequence Alignment stromal processing peptidase thylakoid processing peptidase Thylakoids
STZ is a broad-spectrum antibiotic that is toxic to the insulin producing β cells of pancreatic islets. It is currently used clinically for the treatment of metastatic islet cell carcinoma of the pancreas [12 ] and has been used investigationally in a wide variety of large and small animal species [2 (link)–5 , 13 (link)–17 (link)]. The method of STZ action in β cell depletion has been studied extensively over the years. It is generally assumed that STZ is taken up via the cell membrane GLUT2 glucose transporter and causes DNA alkylation and eventual β cell death [15 (link), 17 (link)], although streptozotocin’s actions as a protein alkylating agent [18 (link)] and nitric oxide donor may contribute to its cytotoxicity [19 (link)]. Because STZ enters the cell via GLUT2, the toxic action is not specific to β cells and can cause damage to other tissues including the liver and kidney [5 , 15 (link), 17 (link), 19 (link)].
Publication 2011
Alkylating Agents Alkylation Animals Antibiotics Cell Death Cells Cytotoxin Glucose Transporter Islets of Langerhans Kidney Liver Nitric Oxide Donors Pancreatic beta Cells Pancreatic Carcinoma Plasma Membrane SLC2A2 protein, human Staphylococcal Protein A Tissues Toxic Actions
Eukaryotic proteins are processed using the general pipeline depicted in Figure 1. The pipeline is organized as a directed rooted computational graph where each node corresponds to the execution of a specific tool. The graph root is the query protein sequence, while leaves correspond to predicted subcellular localizations, here represented as GO terms of the cellular component ontology. A path from the root to one leaf is determined by the outcomes of the different tools. In Figure 1, GO terms and tools highlighted in green are only applied for plant proteins.
At the very first level, the query sequence is scanned for the presence of signal peptide using the DeepSig predictor (4 ). If the signal sequence is found (suggesting the sorting of the protein through the secretory pathway), the mature protein sequence is determined by cleaving the predicted signal peptide. The resulting mature sequence is then analyzed by the subsequent tools. Firstly, PredGPI (6 (link)) determines the presence of GPI-anchors. If an anchor is found, the sequence is classified as Membrane anchored component (GO:0046658). Otherwise, the sequence is filtered for the presence of α-helical TransMembrane (TM) domains using ENSEMBLE3.0 (7 (link)). If at least one TM domain is found, the protein is predicted as membrane protein and passed to MemLoci (10 (link)), which predicts the final membrane protein localization that includes: Endomembrane system (GO:00112505), Plasma membrane (GO:0005886) and Organelle membrane (GO:0031090). If no TM domain is found, the protein is predicted to be localized in the Extracellular space (GO:0005615).
Proteins not directed to the secretory pathway (as predicted with DeepSig) are analyzed for their potential organelle localization using TPpred3 (5 (link)), which predicts the presence of organelle-targeting peptides and distinguishes between mitochondrial and chloroplast sorting for plant proteins.
If no targeting peptide is detected with TPpred3, ENSEMBLE3.0 is used to discriminate membrane from globular proteins: MemLoci or BaCelLo (9 (link)) are hence applied to predict localization of membrane and globular protein, respectively. In particular, BaCelLo is able to distinguish among five different cellular compartments (four in case of animal or fungi proteins): Nucleus (GO:0005634), Cytoplasm (GO:0005737), Extracellular space (GO:0005615), Mitochondrion (GO:0005739) and, for plant proteins, Chloroplast (GO:0009507). Moreover, since BaCelLo adopts different optimized models for animals and fungi, information about the taxonomic origin of the input is also provided as a parameter to the predictor.
When a mitochondrial targeting signal is detected, this is cleaved-off to determine the mature protein sequence. ENSEMBLE3.0 is then used to determine whether the mature protein is localized into a Mitochondrial membrane (GO:0031966) or, more generally, into the Mitochondrion (GO:0005739).
For plant proteins, TPpred3 is also able to distinguish potential chloroplast-targeting peptides. If detected, they are cleaved and the sequence submitted to SChloro (11 (link)) that discriminates six different sub-chloroplast localizations: Outer membrane (GO:0009707), Inner membrane (GO:0009706), Plastoglobule (GO:0010287), Thylakoid lumen (GO:0009543), Thylakoid membrane (GO:0009535) and Stroma (GO:0009570).
Overall BUSCA is able to predict sixteen different compartments for plants and nine for animals and fungi.
Publication 2018
Amino Acid Sequence Animal Model Animals Cell Nucleus Cells Cellular Structures Chloroplasts Cytoplasm Eukaryotic Cells Extracellular Space Eye Fungal Proteins Fungi Helix (Snails) Membrane Proteins Mitochondria Mitochondrial Membranes Organelles Peptides Plant Leaves Plant Proteins Plant Roots Plants Plasma Membrane Proteins Reproduction Secretory Pathway Signal Peptides Strains Thylakoid Membrane Thylakoids Tissue, Membrane

Most recents protocols related to «Plasma Membrane»

Example 6

In order to confirm the anticancer effect of the combined administration of OTS-412 and GCV, the cytotoxicity according to the administration of OTS-412 and GCV was evaluated in two human lung cancer cell lines, A549 and NCI-H460 cancer cell lines, and two human colorectal cancer cell lines, HT-29 and HCT-116 cancer cell lines.

Specifically, A549, NCI-H460, HT-29 and HCT-116 cancer cell lines were infected with OTS-412 at 0.01, 0.1 or 1 MOI. Three infected cancer cell lines (A549, NCI-H460, and HT-29) were treated with 100 M GCV, and the infected HCT-116 cancer cell line, with 50 M GCV. The cells were cultured for 72 hours and analyzed for cytotoxicity using CCK8 (Cell Counting Kit 8).

As a result, in NCI-H460 and HCT-116 cancer cell lines, the viability of cancer cells treated with the combination of OTS-412 and GCV was significantly lower than that of cancer cells treated with OTS-412 alone. On the other hand, in A549 and HT-29 cancer cell lines, no significant difference was observed between the viability of cancer cells treated with the combination of OTS-412 and GCV and that of the cancer cells treated with OTS-412 alone. This result demonstrates the additional cytotoxic effect by GCV as well as the direct cancer cell death by OTS-412 (FIG. 9).

In addition, the apoptosis and necrosis according to the combined administration of OTS-412 and GCV were confirmed by flow cytometry (FACS). Specifically, A549 and NCI-H460 cell lines were treated with GCV alone, OTS-412 alone, or a combination of OTS-412 and GCV, respectively, and the cells were subjected to Annexin V/PI staining followed by flow cytometry. At this time, the viability of cell was determined based on the facts that: both Annexin V and PI are negative in living cells; Annexin V is positive in the early stage of apoptosis, wherein the permeability of cell membrane changes; and both Annexin V and PI are positive at the end of apoptosis, wherein the nucleus is exposed by destruction of the cell membrane.

As a result, the apoptosis by treatment with GCV alone was not confirmed. However, when A549 cells were treated with OTS-412 alone, the apoptosis rate was observed as 19.64%, and with combined treatment of OTS-412 and GCV, 35.06%. In addition, when NCI-H460 cells were treated with OTS-412 alone, the apoptosis rate was observed as 6.58%, and with combined treatment of OTS-412 and GCV, 12.78% (FIG. 10). In addition, FACS results were quantified and compared with each other. As a result, an additional toxic effect by GCV was confirmed, compared to the group treated with OTS-412 alone (FIG. 11).

Full text: Click here
Patent 2024
A549 Cells Annexin A5 Apoptosis Cell Lines Cell Membrane Permeability Cell Nucleus Cells Cell Survival Colorectal Carcinoma Combined Modality Therapy Cytotoxin Flow Cytometry HCT116 Cells Homo sapiens HT29 Cells Lung Cancer Malignant Neoplasms Necrosis Plasma Membrane

Example 1

To generate an attenuated strain of P. aeruginosa for production of alginate, the following virulence factor genes were sequentially deleted from the chromosome of the wild-type strain PAO1: toxA, plcH, phzM, wapR, and aroA. toxA encodes the secreted toxin Exotoxin A, which inhibits protein synthesis in the host by deactivating elongation factor 2 (EF-2). plcH encodes the secreted toxin hemolytic phospholipase C, which acts as a surfactant and damages host cell membranes. phzM encodes phenazine-specific methyltransferase, an enzyme required for the production of the redox active, pro-inflammatory, blue-green secreted pigment, pyocyanin. wapR encodes a rhamnosyltransferase involved in synthesizing O-antigen, a component of lipopolysaccharide (LPS) of the outer membrane of the organism. aroA encodes 3-phosphoshikimate 1-carboxyvinyltransferase, which is required intracellularly for aromatic amino acid synthesis. Deletion of aroA from the P. aeruginosa genome has previously been shown to attenuate the pathogen. Each gene was successfully deleted using a homologous recombination strategy with the pEX100T-Not1 plasmid. The in-frame, marker-less deletion of these five gene sequences was verified by Sanger sequencing and by whole genome resequencing (FIG. 1 and FIG. 8). This engineered strain was designated as PGN5. The whole genome sequence of PGN5 has been deposited to NCBI Genbank with an accession number of CP032541. All five in-frame gene deletions were detected and validated to be the deletion as designed using PCR (FIG. 7).

To verify gene deletion and attenuation of the PGN5 strain, the presence of the products of the deleted genes was measured and was either undetectable, or significantly reduced in the PGN5 strain. To test for the toxA gene deletion in PGN5, a Western blot analysis was performed for the presence of Exotoxin A in the culture medium. Exotoxin A secretion was detected in wild-type PAO1 control, but not in the PGN5 strain (FIG. 2A). To confirm the loss of plcH, hemolysis was assessed on blood agar. The hemolytic assay was carried out by streaking PAO1, PGN5, P. aeruginosa mucoid strain VE2, and a negative control, Escherichia coli strain BL21 on blood agar plates. A clear zone was observed surrounding PAO1 and VE2 cell growth, indicating complete (β-) hemolysis (FIG. 2B). In contrast, the blood agar remained red and opaque surrounding PGN5 and BL21 growth, indicating negligible or no hemolytic activity in these strains (FIG. 2B). To assess for deletion of phzM, the amount of pyocyanin secreted by PAO1 and PGN5 was extracted and measured. The amount of pyocyanin detected was significantly reduced in PGN5 (FIG. 2C). In fact, the difference in pigment production between PAO1 and PGN5 was immediately apparent on agar plates (FIG. 3A-3B). To test for wapR gene deletion, an LPS extraction was performed, followed by silver-stained SDS-PAGE and Western blot on the following strains: PAO1, PGN4 (PGN5 without aroA deletion), VE2, and PAO1wbpL, which serves as a negative control due to a deletion in the O-antigen ligase gene, and thus produces no O-antigen. The presence of O-antigen was detected in PGN4, but the level of LPS banding was significantly reduced compared to the LPS banding profile observed in PAO1 and VE2 (FIG. 2D). Lastly, to test for aroA deletion, ELISA was performed to detect the presence of 3-phosphoshikimate 1-carboxyvinyltransferase in cell lysates prepared from PAO1 and PGN5. The ELISA results showed that the amount of 3-phosphoshikimate 1-carboxyvinyltransferase was significantly reduced in PGN5, compared to that in PAO1 (FIG. 2E). Additionally, the deletion of aroA resulted in slower growth in the PGN5 strain, a growth defect that was restored with the addition of 1 mg/mL of aromatic amino acids (W, Y, F) to the culture medium (data not shown).

Full text: Click here
Patent 2024
1-Carboxyvinyltransferase, 3-Phosphoshikimate Agar Alginate Anabolism Aromatic Amino Acids Biological Assay BLOOD Cardiac Arrest Chromosomes Culture Media Deletion Mutation Enzyme-Linked Immunosorbent Assay Enzymes Escherichia coli Exotoxins Gene Deletion Genes Genetic Markers Genome Hemolysis Homologous Recombination Inflammation Ligase Lipopolysaccharides Methyltransferase O Antigens Oxidation-Reduction Pathogenicity Peptide Elongation Factor 2 Phenazines Phospholipase C Pigmentation Plasma Membrane Plasmids Protein Biosynthesis Pseudomonas aeruginosa Pyocyanine Reading Frames SDS-PAGE secretion SERPINA3 protein, human Silver Strains Surface-Active Agents Tissue, Membrane Toxins, Biological Virulence Factors Western Blot Western Blotting

Example 1

This example demonstrates that the binding interaction of βarr with the β2-adrenergic receptor (β2AR).

The binding of βarr to GPCRs is mainly initiated through an interaction with the phosphorylated receptor C terminus, and conformational changes induced in βarr by this interaction promote coupling to the receptor TM core, as shown in FIG. 1. Co-immunoprecipitation experiments confirmed that heterotrimeric Gs protein, but not βarr1, can interact with purified non-phosphorylated β2-adrenergic receptor (β2AR), as shown in FIG. 2A.

To verify that this apparent lack of interaction with βarr is not simply due to poor complex stability, two assays capable of detecting complex formation in situ were performed. First, competition radioligand binding was used to measure the allosteric effects of transducers on ligand binding to the receptor. As described by the ternary complex model, first for G proteins and later for βarrs, ligand-induced changes in receptor conformation enhance the binding and affinity of transducers, which reciprocally increase ligand affinity by stabilizing an active receptor state (De Lean A, et al. (1980) J Biol Chem 255(15):7108-7117., Gurevich V V, et al. (1997) J Biol Chem 272(46):28849-28852). When wild-type (WT) β2AR was reconstituted in high-density lipoprotein (HDL) particles to mimic a cellular membrane environment (Denisov I G & Sligar S G (2016) Nat Struct Mol Biol 23(6):481-486), G protein enhanced the affinity of the full agonist isoproterenol for non-phosphorylated HDL-β2AR by nearly 1000-fold, as expected, but βarr1 had no effect even at micromolar concentrations, as shown in FIG. 2B.

Second, to directly monitor β2AR conformational changes associated with activation, the C265 at the cytoplasmic end of TM6 was labeled with monobromobimane, an environmentally sensitive fluorophore. Receptor activation leads to an outward movement of TM6 that places the bimane label in a more solvent-exposed position, causing a decrease in fluorescence and a shift in λmax (Yao X J, et al. (2009) Proc Natl Acad Sci USA 106(23):9501-9506). Indeed, isoproterenol reduced β2AR-bimane fluorescence compared to control (DMSO), and addition of Gs but not βarr1 further attenuated fluorescence, as shown in FIG. 2C.

The results of this example demonstrate that non-phosphorylated β2AR fails to form a productive interaction with βarr.

Full text: Click here
Patent 2024
Adrenergic Agents beta-2 Adrenergic Receptors Biological Assay Co-Immunoprecipitation Cytoplasm Fluorescence GTP-Binding Proteins high density lipoprotein receptors High Density Lipoproteins Homozygote Isoproterenol Ligands monobromobimane Movement Phosphorylation Plasma Membrane Proteins Solvents Sulfoxide, Dimethyl Transducers

Example 5

In Vitro Cytotoxicity Assay

Cells from the Jurkat cell line were treated with different doses of chimera. The result was that the chimera is toxic to Jurkat cells in a dose-dependent manner as can be seen in FIG. 10. Almost all the cells undergo apoptotic death with a chimera concentration of 6 μM.

HT29 cells were treated with different doses of GRNLY and chimera. The result was that both GRNLY and the chimera are toxic to HT29 cells in a dose-dependent manner as can be seen in FIG. 11. GRNLY or chimera concentrations of 4 or 5 μM seem to have a similar effect, but the chimera is more cytolytic than GRNLY at a concentration of 6 μM, achieving a percentage of growth of 30% with respect to the control, i.e., 70% cytotoxicity. To match said effect, a GRNLY concentration of about 20 μM must be used.

Furthermore, labeling was also performed with Alexa-46-conjugated annexin-V showing phosphatidylserine exposure and with 7AAD showing membrane integrity on HT29 cells treated with different concentrations of chimera for analyzing the type of induced cell death. By increasing the concentration of chimera, an increase in cells labeled with annexin which still have not lost membrane integrity is observed, indicating that cell death is caused by apoptosis (FIG. 12). Furthermore, a significant increase in cytotoxicity is observed when incubating the cells with a chimera concentration of 6 μM, as shown in FIG. 16. The maximum dose of chimera used was 6 μM, whereas in the case of GRNLY, a concentration of up to 20 μM was reached.

In Vivo Assay with HELA-CEA Cells

Five mice per group (control group, granulysin group, and MFE group (with the chimera) were assayed. Although there was a mouse in the MFE group that died after the sixth injection, the other 4 mice, however, reached the end of the experiment in good conditions state. The tumor was subcutaneously injected with Matrigel at 2 million cells. Treatments began when the tumors reached a size of 150 mm3. The treatments were systemic intraperitoneal treatments performed every two days (injections):

    • Control group, 500 ul of PBS.
    • Granulysin group, 220 ul of a stock at 500 ug/ml (40 uM), i.e., 110 ug per injection, which yields a concentration of about 5 uM in 2 ml of total blood.
    • MFE group, 500 ul of stocks of about 900 ug/ml (25 uM), i.e., 425 ug per injection, which yields a concentration of about 5 uM in 2 ml of total blood.

Ten injections were performed and the mice were sacrificed 2 days after the last injection.

The results are illustrated in FIGS. 13 to 19. FIG. 13 shows that if the control group is compared with MFE group (chimera), significant differences can be seen after the 7th injection, with the difference being very significant in the last injections. It can be seen how tumor growth in treated mice is somehow contained or attenuated. FIG. 14 shows that if the control group is compared with the (non-chimeric) granulysin group, there are no significant differences, although the granulysin curve is below the control curve for all the points. FIG. 15 shows all the results shown in FIG. 13 and FIG. 14. FIG. 16 shows the means±SD of the sizes of the tumors once removed and subjected to different treatments, a smaller tumor size with granulysin treatment, and an even smaller size when the chimera is used, being shown. FIG. 16 shows the means±SD of the weights of the tumors once removed and subjected to different treatments, a lower tumor weight with granulysin treatment, and an even lower weight when the chimera is used, being shown.

Full text: Click here
Patent 2024
7-aminoactinomycin D Annexin A5 Annexins Apoptosis BLOOD Cell Death Cell Lines Cells Chimera Cytotoxin GNLY protein, human HeLa Cells HT29 Cells Injections, Intraperitoneal Jurkat Cells matrigel Mus Neoplasms Phosphatidylserines Plasma Membrane Tissue, Membrane Vision
Not available on PMC !

Example 9

Experiments are performed to assess the ability of PDL1-CD3-Fc constructs to induce NK cell-mediated killing of target cells. Briefly, U251 cells are labelled with cell membrane dye PKH67 green, and then seeded and allowed to adhere to wells over night (FIG. 32). Primary NK cells (StemCell Technologies, Inc.) are then added to each well at an effector to target ratio of 1:1, along with varying amounts of virally produced PDL1-CD3-Fc protein. Effector/target cell co-culture are incubated at 37° C. for 6 hours prior to live/dead analysis by 7-AAD staining. Stained cells are analyzed by flow cytometry on a BD LSR Fortesa cytometer.

These results will demonstrate that virally produced PDL1-CD3-Fc compounds are able to stimulate NK cell-mediated death of target cells such as U251.

Full text: Click here
Patent 2024
7-aminoactinomycin D CD274 protein, human Cell Culture Techniques Cell Death Cells Dental Occlusion Flow Cytometry Natural Killer Cells PKH67 Plasma Membrane Proteins Stem Cells

Top products related to «Plasma Membrane»

Sourced in United States, United Kingdom, Germany, China, Canada, Japan, Italy, France, Belgium, Australia, Uruguay, Switzerland, Israel, India, Spain, Denmark, Morocco, Austria, Brazil, Ireland, Netherlands, Montenegro, Poland
Matrigel is a solubilized basement membrane preparation extracted from the Engelbreth-Holm-Swarm (EHS) mouse sarcoma, a tumor rich in extracellular matrix proteins. It is widely used as a substrate for the in vitro cultivation of cells, particularly those that require a more physiologically relevant microenvironment for growth and differentiation.
Sourced in United States, China, United Kingdom, Germany, Switzerland, Japan, Australia
Transwell chambers are a type of lab equipment used for cell culture and biological assays. They consist of a permeable membrane insert placed inside a well, allowing for the study of cell-cell interactions and the movement of molecules across a barrier. The core function of Transwell chambers is to provide a controlled environment for culturing cells and monitoring their behavior and permeability.
Sourced in United States, China, Germany, United Kingdom, Canada, Japan, France, Netherlands, Montenegro, Switzerland, Austria, Australia, Colombia, Spain, Morocco, India, Azerbaijan
Matrigel is a complex mixture of extracellular matrix proteins derived from Engelbreth-Holm-Swarm (EHS) mouse sarcoma cells. It is widely used as a basement membrane matrix to support the growth, differentiation, and morphogenesis of various cell types in cell culture applications.
Sourced in United States, Germany, United Kingdom, Japan, China, France, Canada, Spain, Belgium, Italy, Australia, Austria, Denmark, Netherlands, Switzerland, Ireland, New Zealand, Portugal, Brazil, Argentina, Singapore, Poland, Ukraine, Macao, Thailand, Finland, Lithuania, Sweden
Hoechst 33342 is a fluorescent dye that binds to DNA. It is commonly used in various applications, such as cell staining and flow cytometry, to identify and analyze cell populations.
Sourced in United States, Germany, United Kingdom, China, Canada, Japan, Italy, France, Belgium, Switzerland, Singapore, Uruguay, Australia, Spain, Poland, India, Austria, Denmark, Netherlands, Jersey, Finland, Sweden
The FACSCalibur is a flow cytometry system designed for multi-parameter analysis of cells and other particles. It features a blue (488 nm) and a red (635 nm) laser for excitation of fluorescent dyes. The instrument is capable of detecting forward scatter, side scatter, and up to four fluorescent parameters simultaneously.
Sourced in United States, United Kingdom, Germany
The CellMask Deep Red Plasma Membrane Stain is a fluorescent dye that specifically labels the plasma membrane of cells. The dye has an excitation/emission spectrum of 649/666 nm, allowing it to be detected using common far-red or near-infrared fluorescence detection methods.
Sourced in United States, Germany, United Kingdom, Japan, China, Canada, Italy, Australia, France, Switzerland, Spain, Belgium, Denmark, Panama, Poland, Singapore, Austria, Morocco, Netherlands, Sweden, Argentina, India, Finland, Pakistan, Cameroon, New Zealand
DAPI is a fluorescent dye used in microscopy and flow cytometry to stain cell nuclei. It binds strongly to the minor groove of double-stranded DNA, emitting blue fluorescence when excited by ultraviolet light.
Sourced in United States, Germany, Japan, United Kingdom, China, Italy, Sao Tome and Principe, France, Macao, Canada, Switzerland, Spain, Australia, Denmark, India, Poland, Israel, Belgium, Sweden, Ireland, Netherlands, Panama, Brazil, Portugal, Czechia, Puerto Rico, Austria, Hong Kong, Singapore
DAPI is a fluorescent dye that binds strongly to adenine-thymine (A-T) rich regions in DNA. It is commonly used as a nuclear counterstain in fluorescence microscopy to visualize and locate cell nuclei.
Sourced in United States, Germany, China, Japan, United Kingdom, France, Sao Tome and Principe, Italy, Australia, Macao, Spain, Switzerland, Canada, Belgium, Poland, Brazil, Portugal, India, Denmark, Israel, Austria, Argentina, Sweden, Ireland, Hungary
Crystal violet is a synthetic dye commonly used in laboratory settings. It is a dark purple crystalline solid that is soluble in water and alcohol. Crystal violet has a variety of applications in the field of microbiology and histology, including as a staining agent for microscopy and in the gram staining technique.
Sourced in United States, Germany, United Kingdom, Italy, China, Japan, France, Canada, Sao Tome and Principe, Switzerland, Macao, Poland, Spain, Australia, India, Belgium, Israel, Sweden, Ireland, Denmark, Brazil, Portugal, Panama, Netherlands, Hungary, Czechia, Austria, Norway, Slovakia, Singapore, Argentina, Mexico, Senegal
Triton X-100 is a non-ionic surfactant commonly used in various laboratory applications. It functions as a detergent and solubilizing agent, facilitating the solubilization and extraction of proteins and other biomolecules from biological samples.

More about "Plasma Membrane"

The plasma membrane, also known as the cell membrane or cytoplasmic membrane, is the outermost layer of a cell that separates the cell's interior from the extracellular environment.
This selectively permeable barrier controls the passage of molecules in and out of the cell, playing a crucial role in various cellular processes.
The plasma membrane is composed of a bilayer of phospholipids, with embedded proteins that facilitate functions such as signaling, transport, and cell-cell interactions.
Understanding the structure and function of the plasma membrane is essential for research in cell biology, physiology, and medicine.
Researchers often utilize techniques like Matrigel, a gelatinous protein mixture that mimics the extracellular matrix, to study cell adhesion and migration.
Transwell chambers, which feature a permeable membrane, are used to investigate cell invasion and permeability.
Fluorescent dyes like Hoechst 33342 and CellMask Deep Red Plasma Membrane Stain are employed to visualize and analyze the plasma membrane and its components.
Flow cytometry, using instruments like the FACSCalibur, is a powerful tool for analyzing the plasma membrane and its associated proteins.
Stains such as DAPI and Crystal violet are commonly used to assess cell viability and membrane integrity, while detergents like Triton X-100 can be used to permeabilize the plasma membrane for intracellular studies.
PubCompare.ai's AI-driven platform can optimize plasma membrane research by helping users find the best protocols and products, while comparing literature, pre-prints, and patents to enhance reproducibility and accuracy.
Experience streamlined research with PubCompare.ai - your one-stop-shop for plasma membrame optimization.