Rat E2 estradiol ELISA Kit (DEIA-BJ2103)

Regulatory status: For research use only, not for use in diagnostic procedures.

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Size
96T
Sample
Serum, plasma, cell culture supernatants, body fluid and tissue homogenate
Species Reactivity
Rat
Intended Use
Rat E2 estradiol ELISA Kit is a 1.5 hour solid-phase ELISA designed for the quantitative determination of the E2 estradiol. This ELISA kit is for research use only, not for therapeutic or diagnostic applications.
Contents of Kit
1. MICROTITER PLATE: 96 wells
2. ENZYME CONJUGATE: 6.0 mL or 10 ml
3. STANDARD A-F: 1 vial each
4. SUBSTRATE A: 6 mL
5. SUBSTRATE B: 6 mL
6. STOP SOLUTION: 6 mL
7. WASH SOLUTION (100 x): 10 mL
8. BALANCE SOLUTION: 3 mL
Storage
All components of this kit are stable at 2-8°C until the kit's expiration date.
Detection Range
50-1000 pg/mL
Sensitivity
1.0 pg/mL

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References


CD81 extracted in SMALP nanodiscs comprises two distinct protein populations within a lipid environment enriched with negatively charged headgroups

BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES

Authors: Ayub, Hoor; Clare, Michelle; Milic, Ivana; Chmel, Nikola P.; Boening, Heike; Devitt, Andrew; Krey, Thomas; Bill, Roslyn M.; Rothnie, Alice J.

Tetraspanins exert a wide range of cellular functions of broad medical importance. Despite this, their biophysical characteristics are incompletely understood. Only two high-resolution structures of full-length tetraspanins have been solved. One is that of human CD81, which is involved in the infectivity of human pathogens including influenza, HIV, the malarial Plasmodium parasite and hepatitis C virus (HCV). The CD81 crystal structure identifies a cholesterol-binding pocket, which has been suggested to be important in the regulation of tetraspanin function. Here we investigate the use of styrene-maleic anhydride co-polymers (SMA) for the solubilisation and purification of CD81 within a lipid environment. When CD81 was expressed in the yeast Pichia pastoris, it could be solubilised and purified using SMA2000. This SMALP-encapsulated CD81 retained its native folded structure, as determined by the binding of two conformation-sensitive anti-CD81 antibodies. Analysis by size exclusion chromatography revealed two distinct populations of CD81, only one of which bound the HCV glycoprotein, E2. Optimization of expression and buffer conditions increased the proportion of E2-binding competent CD81 protein. Mass spectrometry analysis indicated that the lipid environment surrounding CD81 is enriched with negatively charged lipids. These results establish a platform to study the influence of protein-lipid interactions in tetraspanin biology.

Identification of key differentially expressed mRNAs and microRNAs in non-small cell lung cancer using bioinformatics analysis

EXPERIMENTAL AND THERAPEUTIC MEDICINE

Authors: Wang, Weiwei; Wang, Shanshan; Pan, Lei

Non-small cell lung cancer (NSCLC) is a leading cause of mortality worldwide. However, the pathogenesis of NSCLC remains to be fully elucidated. Therefore, the present study aimed to explore the differential expression of mRNAs and microRNAs (miRNAs/miRs) in NSCLC and to determine how these RNA molecules interact with one another to affect disease progression. Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified from the GSE18842, GSE32863 and GSE29250 datasets downloaded from the Gene Expression Omnibus (GEO database). Functional and pathway enrichment analysis were performed based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. STRING, Cytoscape and MCODE were applied to construct a protein-protein interaction (PPI) network and to screen hub genes. The interactions between miRNAs and mRNAs were predicted using miRWalk 3.0 and a miRNA-mRNA regulatory network was constructed. The prognostic value of the identified hub genes was then evaluated via Kaplan-Meier survival analyses using datasets from The Cancer Genome Atlas. A total of 782 DEGs and 46 DEMs were identified from the 3 GEO datasets. The enriched pathways and functions of the DEGs and target genes of the DEMs included osteoclast differentiation, cell adhesion, response to a drug, plasma membrane, extracellular exosome and protein binding. A subnetwork composed of 11 genes was extracted from the PPI network and the genes in this subnetwork were mainly involved in the cell cycle, cell division and DNA replication. A miRNA-gene regulatory network was constructed with 247 miRNA-gene pairs based on 6 DEMs and 210 DEGs. Kaplan-Meier survival analysis indicated that the expression of ubiquitin E2 ligase C, cell division cycle protein 20, DNA topoisomerase II alpha, aurora kinase A and B, cyclin B2, maternal embryonic leucine zipper kinase, slit guidance ligand 3, phosphoglucomutase 5, endomucin, cysteine dioxygenase type 1, dihydropyrimidinase-like 2, miR-130b, miR-1181 and miR-127 was significantly associated with overall survival of patients with lung adenocarcinoma. In the present study, a miRNA-mRNA regulatory network in NSCLC was established, which may provide future avenues for scientific exploration and therapeutic targeting of NSCLC.

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