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
.
Catalogue Number
Ordering Description
Qty/Pack
List
This item has been added to favorites.
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.
Catalogue Number
Ordering Description
Qty/Pack
List
This item has been added to favorites.
Species
Panel Type
Selected Kit
Qty
Catalogue Number
Ordering Description
Qty/Pack
List Price
96-Well Plate
Qty
Catalogue Number
Ordering Description
Qty/Pack
List Price
Add Additional Reagents (Buffer and Detection Kit is required for use with MAPmates)
Qty
Catalogue Number
Ordering Description
Qty/Pack
List Price
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.
This item has been added to favorites.
The Product Has Been Added To Your Cart
You can now customize another kit, choose a premixed kit, check out or close the ordering tool.
Poster: In vitro assay of early cell dysfunction using multispectral image-in-flow cytometry of mitochondrial morphology in a EFGP-expressing cell line
Technical Information: Assessing Autophagy with the FlowSight® Imaging Flow Cytometer
The Amnis® imaging flow cytometry system is advancing the study of cell death and survival. Morphological characterization by microscopy remains the gold standard for accurately identifying the various types of cell death using characteristics such as nuclear condensation, nuclear fragmentation, membrane blebbing, cell shrinkage or swelling. In some cases cell death is preceded by an attempt at survival by autophagy and is identified by the clustering of the phagolysosome membrane-associated protein LC3. Combining the measurements of cell death with immunophenotyping or other Amnis® imaging flow cytometry applications such as signal transduction increases the power of your experiments.
Watch to learn how multispectral imaging in flow can be used to enhance apoptosis research. Dr. Sherree Friend explains how Amnis® applications use high-throughput imaging of DNA fragmentation in apoptotic cells. Assessment of the process of cell death is revolutionized by analyzing visual characteristics in thousands of cells.
Dramatic changes in nuclear morphology are hallmarks of apoptosis. When cells begin to die by apoptosis there is fragmentation and condensation of the DNA. This makes possible the automated identification of apoptotic cells. By measuring the area and the intensities of the brightest portions of the nuclear image, the bright, punctate nuclear imagery of apoptotic cells can be distinguished from the evenly stained nuclear imagery of a normal, healthy nucleus.
Autophagy Measurement on the ImageStream®X
Autophagy, the process of degrading a cell's own components through the lysosomal machinery in response to stress, plays a normal role in cell growth, development and homeostasis. During autophagy, the microtubule associated protein LC3 is recruited to the membrane of autophagosomes and can be visualized as clusters using immunofluorescence microscopy. Here we show the ability to quantify autophagy using a spot count feature which enumerates the bright, punctate spots of GFP-LC3. The quantitative nature of the image data allows detection of autophagy even in rare subpopulations of cells and enables the automated identification of cells undergoing autophagy.