Surface Marker Profiling
Surface Marker Profiling - Related Videos
15:17
Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
0 Views •
Cited by 19 •
2011
We described a procedure for the disaggregation of colorectal cancer (CRC) to produce viable single cells, which are then captured on customized antibody microarrays recognizing surface antigens (DotScan CRC microarray). Sub-populations of cells bound to the microarray can be profiled by fluorescence multiplexing using monoclonal antibodies tagged with fluorescent dyes.
08:52
Isolation and Enrichment of Liver Progenitor Subsets Identified by a Novel Surface Marker Combination
0 Views •
Cited by 3 •
2017
Liver injuries are accompanied by progenitor cell expansion that represents a heterogeneous cell population. Novel classification of this cellular compartment allows for the distinguishing of multiple subsets. The method described here illustrates the flow cytometry analysis and high purity isolation of various subsets that can be used for further assays.
03:20
Labeling Neural Cell Surface Markers with Azidosugar while Co-culturing with Endothelial Cells
0 Views •
2025
This video demonstrates a protocol for co-culturing mouse brain endothelial cells and primary cortical stem cells and labeling the cell surface glycoproteins using Ac4ManNAz (azidosugar per-O-acetylated N-azidoacetylmannosamine). This method allows for selective enrichment and identification of cell surface proteins in primary cells.
10:32
Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model
0 Views •
Cited by 21 •
2014
Mouse embryonic fibroblast can be reprogrammed into induced pluripotent stem cells at low efficiency by the forced expression of transcription factors Oct-4, Sox-2, Klf-4, c-Myc. The rare intermediates of the reprogramming reaction are FACS isolated via labeling with antibodies against cell surface makers Thy-1.2, Ssea-1, and Epcam.
14:11
Quantification of Hydrogen Concentrations in Surface and Interface Layers and Bulk Materials through Depth Profiling with Nuclear Reaction Analysis
0 Views •
Cited by 21 •
2016
We illustrate the application of 1H(15N,αγ)12C resonant nuclear reaction analysis (NRA) to quantitatively evaluate the density of hydrogen atoms on the surface, in the volume, and at an interfacial layer of solid materials. The near-surface hydrogen depth profiling of a Pd(110) single crystal and of SiO2/Si(100) stacks is described.
FAQs
The informative signal comes from differences in proteins displayed on outer membranes. When selected markers produce different binding or fluorescence signals, researchers can distinguish marker-defined subpopulations and compare cellular identity or state. This molecular resolution is valuable when nervous-system tissue contains mixed populations, because it exposes heterogeneity that would be obscured by treating the sample as one uniform cell group.
Antibodies or other binding reagents provide the recognition step, while fluorescence-based labeling converts that recognition into a measurable signal. Choosing a set of surface antigens rather than relying on a single marker allows profiling to reflect multiple features at once. In neural samples, this strategy can help separate or compare neural stem cells, neurons, glia, and immune cells according to their marker patterns.
Multiparameter measurements matter because a population may contain cells with overlapping characteristics rather than one uniform identity. Recording several marker signals together can clarify distinct subpopulations and improve characterization of cellular heterogeneity. The same broader marker strategy also supports reproducibility by enabling comparisons based on defined molecular profiles across neural preparations rather than broad population labels alone.
Flow cytometry and imaging answer related but not identical measurement needs. Flow cytometry supports measurement of marker signals across cell populations, whereas imaging uses labeled markers to examine cells in an imaging context. The appropriate readout depends on whether the study emphasizes population-level comparison or visual cellular characterization. Both can reveal marker-defined differences when the selected antigens are detected.
A basic workflow begins by selecting surface antigens relevant to the cell populations or state under study. Researchers then apply antibodies or other binding reagents, use fluorescence-based labeling when appropriate, and measure the resulting signals by flow cytometry or imaging. Comparing marker patterns enables population characterization, while the same information can guide cell isolation when separation is needed.
In neuroscience, the approach can characterize neural stem cells, neurons, glia, and immune cells within nervous-system tissues. Researchers compare their selected surface-marker patterns to identify differences among these populations and detect subpopulations within them. This supports studies of cellular identity and heterogeneity during neural development, in disease-related samples, or when evaluating responses to treatment.
Marker profiles provide a way to compare neural cell populations across developmental studies, disease profiling, and treatment-response experiments. Changes in measured surface-antigen signals can indicate differences in cellular composition or state, while marker-defined populations can be isolated for further investigation. These outcomes help connect molecular patterns with how nervous-system samples differ across experimental conditions.