Surface Marker Identification
Surface Marker Identification - Related Videos
03:20
Labeling Neural Cell Surface Markers with Azidosugar while Co-culturing with Endothelial Cells
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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.
08:52
Isolation and Enrichment of Liver Progenitor Subsets Identified by a Novel Surface Marker Combination
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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.
08:49
Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens
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Cited by 8 •
2020
This manuscript describes a genome-scale cell-based screening approach to identify extracellular receptor-ligand interactions.
08:34
Identification of Virulence Markers of Mycobacterium abscessus for Intracellular Replication in Phagocytes
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Cited by 5 •
2018
Here, we present two protocols to study Phagocyte-Mycobacterium abscessus interactions: the screening of a transposon mutant library for bacterial intracellular deficiency and the determination of bacterial intracellular transcriptome from RNA sequencing. Both approaches provide insight into the genomic advantages and transcriptomic adaptations enhancing intracellular bacteria fitness.
10:32
Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model
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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.
FAQs
A profile combines signals from multiple extracellular markers to relate a cell’s observed identity to its state or lineage. This is especially useful when a neural sample contains related populations whose characteristics cannot be distinguished by one marker alone. Comparing profiles across samples can therefore reveal changes associated with differentiation, development, or disease rather than only identifying a broad cell category.
Extracellular proteins can be reached by marker-specific antibodies or other probes without relying on information inside the cell. Probe binding creates a measurable signal that can be linked to the cell displaying the target. In neural research, this accessibility supports characterization of neuronal and glial populations and helps distinguish neural cells within more complex or mixed experimental samples.
Both approaches measure signals generated after probes bind their targets, but they support different forms of analysis. Fluorescence microscopy records marker signals in an imaging context, whereas flow cytometry measures signals from cells as they pass through the instrument. The choice depends on whether the experiment emphasizes visualizing labeled cells or analyzing marker-associated signals across a cell sample.
Changes in marker profiles can indicate that cells are moving through different states during differentiation. In stem-cell-derived neural cultures, these measurements help separate neural populations from mixed cultures and follow how cellular characteristics change over time. The resulting profiles provide a way to connect differentiation-related changes with the identity and lineage of the cells being studied.
A typical application begins by selecting antibodies or other probes directed against extracellular markers relevant to the neural populations under study. The probes are allowed to bind, and the resulting signals are measured by fluorescence microscopy or flow cytometry. Researchers then interpret the marker pattern to characterize populations, distinguish mixed cell types, or compare samples across an experimental condition.
The method is useful when researchers need to track how neural cell populations change during development, differentiation, or disease-related experiments. Repeated comparison of marker profiles can show shifts in cellular identity or state across conditions. This makes the approach relevant to disease modeling and to experiments examining how neural populations emerge, persist, or change within a study.
Marker-associated signals can help identify populations that researchers want to distinguish within a neural preparation, including neuronal, glial, or stem-cell-derived groups. That information supports cell sorting and enables investigators to analyze selected populations separately. In neural circuit studies, identifying the relevant cellular groups helps connect circuit-related observations with the composition or state of the cells involved.
By linking extracellular marker patterns with cellular identity and behavior, researchers can identify populations that are relevant to a particular experiment or disease model. Those distinctions can guide the selection of cells for further study and support development of targeted experimental or therapeutic strategies. In neuroscience, this is valuable when mixed cultures or changing cell states complicate population-specific analysis.