Our broad portfolio consists of multiplex panels that allow you to choose, within the panel, analytes that best meet your needs. On a separate tab you can choose the premixed cytokine format or a single plex kit.
Cell Signaling Kits & MAPmates™
Choose fixed kits that allow you to explore entire pathways or processes. Or design your own kits by choosing single plex MAPmates™, following the provided guidelines.
The following MAPmates™ should not be plexed together:
-MAPmates™ that require a different assay buffer
-Phospho-specific and total MAPmate™ pairs, e.g. total GSK3β and GSK3β (Ser 9)
-PanTyr and site-specific MAPmates™, e.g. Phospho-EGF Receptor and phospho-STAT1 (Tyr701)
-More than 1 phospho-MAPmate™ for a single target (Akt, STAT3)
-GAPDH and β-Tubulin cannot be plexed with kits or MAPmates™ containing panTyr
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To begin designing your MILLIPLEX® MAP kit select a species, a panel type or kit of interest.
Custom Premix Selecting "Custom Premix" option means that all of the beads you have chosen will be premixed in manufacturing before the kit is sent to you.
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96-Well Plate
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Add Additional Reagents (Buffer and Detection Kit is required for use with MAPmates)
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48-602MAG
Buffer Detection Kit for Magnetic Beads
1 Kit
Space Saver Option Customers purchasing multiple kits may choose to save storage space by eliminating the kit packaging and receiving their multiplex assay components in plastic bags for more compact storage.
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The purpose of this study was to investigate the mechanisms explaining improved insulin-stimulated glucose uptake after exercise training in human skeletal muscle. Eight healthy men performed 3 weeks of one-legged knee extensor endurance exercise training. Fifteen hours after the last exercise bout, insulin-stimulated glucose uptake was approximately 60% higher (P less than 0.01) in the trained compared with the untrained leg during a hyperinsulinemic-euglycemic clamp. Muscle biopsies were obtained before and after training as well as after 10 and 120 min of insulin stimulation in both legs. Protein content of Akt1/2 (55 +/- 17%, P less than 0.05), AS160 (25 +/- 8%, P = 0.08), GLUT4 (52 +/- 19%, P less than 0.001), hexokinase 2 (HK2) (197 +/- 40%, P less than 0.001), and insulin-responsive aminopeptidase (65 +/- 15%, P less than 0.001) increased in muscle in response to training. During hyperinsulinemia, activities of insulin receptor substrate-1 (IRS-1)-associated phosphatidylinositol 3-kinase (PI3-K) (P less than 0.005), Akt1 (P less than 0.05), Akt2 (P less than 0.005), and glycogen synthase (GS) (percent I-form, P less than 0.05) increased similarly in both trained and untrained muscle, consistent with increased phosphorylation of Akt Thr(308), Akt Ser(473), AS160, glycogen synthase kinase (GSK)-3alpha Ser(21), and GSK-3beta Ser(9) and decreased phosphorylation of GS site 3a+b (all P less than 0.005). Interestingly, training improved insulin action on thigh blood flow, and, furthermore, in both basal and insulin-stimulated muscle tissue, activities of Akt1 and GS and phosphorylation of AS160 increased with training (all P less than 0.05). In contrast, training reduced IRS-1-associated PI3-K activity (P less than 0.05) in both basal and insulin-stimulated muscle tissue. Our findings do not support generally improved insulin signaling after endurance training; rather it seems that improved insulin-stimulated glucose uptake may result from hemodynamic adaptations as well as increased cellular protein content of individual insulin signaling components and molecules involved in glucose transport and metabolism.
OBJECTIVE: The goal of this study was to assess whether immunolabeled nanoparticle biomarkers are comparable to fluorescent marker imaging in measuring epidermal growth factor receptor (EGFR) expression. MATERIALS AND METHODS: EGFR expression was quantified using both imaging methods in four cell lines: A431 human epidermoid carcinoma cells, which are known to have high EGFR expression; two cell lines with lower EGFR expression (270-GBM human glioblastoma xenograft cells and H2224 human glioblastoma xenograft cells); and MDA-MB-453 breast carcinoma cells, which do not express EGFR. To enhance contrast of the nanoparticle biomarkers, a darkfield microspectroscopy system was used that includes a custom epi-illumination light train. RESULTS: Nanoparticle-bound cells were clearly distinguished from control cells not bound to nanoparticles in that they showed a significant increase in detected intensity under darkfield illumination due to nanoparticle scattering. The average nanoparticle-scattering intensity for A431 cells was 41.5 counts per cell compared with 24.7 for 270-GBM cells, 8.77 for H2224 cells, and 0.44 for MDA-MB-453 cells. The average fluorescence intensity for A431 cells was 35.3 counts per cell compared with 28.7 for 270-GBM cells, 5.91 for H2224 cells, and 2.07 for MDA-MB-453 cells. A plot of fluorescence intensity versus nanoparticle-scattering intensity for all four cell lines showed that the data agree with a linear relationship given by the following equation: NP = 1.0691 x FL - 0.3873, where NP is the nanoparticle-scattering intensity and FL is the fluorescence intensity. The covariance of the data with the trend line was R(2) = 0.9409. The average peak wavelength of nanoparticle scattering was 570.93 nm for A431 cells, 565.26 nm for 270-GBM cells, and 562.70 nm for H2224 cells (with no clear peaks observed for MDA-MB-453 cells). This spectral trend shows that nanoparticle scattering may reveal additional information about their nanoenvironment via refractive index sensitivity. CONCLUSION: Immunolabeled nanoparticles can quantify receptor expression with performance comparable to fluorescence markers and show promise to better characterize receptor expression via their refractive index sensitivity.
A double antibody radioimmunoassay for human ApoA-II is reported. ApoA-II isolated from human plasma high density lipoprotein (HDL) by column chromatography migrated as a single band on polyacrylamide disc gel electrophoresis, had the appropriate amino acid composition, and provoked the production of monospecific antisera. (125)I-ApoA-II (iodinated by lactoperoxidase, purified by Sephadex G-75 chromatography) migrated with "cold" ApoA-II as a single band on disc gel electrophoresis in SDS. Its specific radioactivity was 5-12 mCi/ micro g. In assays, (0.05 M barbital buffer, 0.01% Triton X-100, pH 8.6) over 90% of (125)I-ApoA-II was bound by excess first antibody and over 95% was displaced by excess "cold" ApoA-II. Low density lipoprotein, very low density lipoprotein, ApoA-I, ApoC-II, and ApoC-III displaced no counts. Intraassay and interassay coefficients of variation for lipoprotein or plasma samples were 7 +/- 4 and 11 +/- 6%, respectively. As little as 1.0 ng of ApoA-II was detectable with a precision of 10%. ApoA-II made up 20-25% of the proteins of HDL (d 1.083-1.19), HDL(2) (d 1.083-1.124), and HDL(3) (d 1.124-1.19) on column chromatography. The ApoA-II contents of these HDL fractions were also 20-25% by radioimmunoassay. Similar results were obtained whether assays were carried out on intact or delipidated HDL samples. Thus, in contrast with ApoA-I (only 10% of which is detectable), all of the ApoA-II contents of intact HDL are detected with accuracy by this assay. Plasma levels of ApoA-II in young normolipemic subjects were approximately 40 mg/dl (n = 29). In these subjects, over 98% of ApoA-II was found in the d 1.063-1.21 density fractions.