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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Select A Species, Panel Type, Kit or Sample Type
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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Integrating viruses represent robust tools for cellular reprogramming, however, the presence of viral transgenes in induced pluripotent stem cells (iPSCs) is deleterious as it holds the risk of insertional mutagenesis leading to malignant transformation. Here, we combine the robustness of lentiviral reprogramming with the efficacy of Cre recombinase protein transduction to derive iPSCs devoid of transgenes. By genome-wide analysis and targeted differentiation towards the cardiomyocyte lineage, we show that transgene-free iPSCs are superior to iPSCs before Cre transduction. Our study provides a simple, rapid and robust protocol for the generation of clinical-grade iPSCs suitable for disease modeling, tissue engineering and cell replacement therapies.
We here report that doxycycline, an antibacterial agent, exerts dramatic effects on human embryonic stem and induced pluripotent stem cells (hESC/iPSCs) survival and self-renewal. The survival-promoting effect was also manifest in cultures of neural stem cells (NSCs) derived from hESC/iPSCs. These doxycycline effects are not associated with its antibacterial action, but mediated by direct activation of a PI3K-AKT intracellular signal. These findings indicate doxycycline as a useful supplement for stem cell cultures, facilitating their growth and maintenance.
Self-renewing stem cell populations are increasingly considered as resources for cell therapy and tools for drug discovery. Human pluripotent stem (hPS) cells in particular offer a virtually unlimited reservoir of homogeneous cells and can be differentiated toward diverse lineages. Many diseases show impairment in self-renewal or differentiation, abnormal lineage choice or other aberrant cell behavior in response to chemical or physical cues. To investigate these responses, there is a growing interest in the development of specific assays using hPS cells, artificial microenvironments and high content analysis. Several hurdles need to be overcome that can be grouped into three areas: (i) availability of robust, homogeneous, and consistent cell populations as a starting point; (ii) appropriate understanding and use of chemical and physical microenvironments; (iii) development of assays that dissect the complexity of cell populations in tissues while mirroring specific aspects of their behavior. Here we review recent progress in the culture of hPS cells and we detail the importance of the environment surrounding the cells with a focus on synthetic material and suitable high content analysis approaches. The technologies described, if properly combined, have the potential to create a paradigm shift in the way diseases are modeled and drug discovery is performed.