Surface Marker Expression
Surface Marker Expression - Related Videos
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.
10:32
Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model
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Cited by 20 •
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.
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.
04:55
Assaying Surface Expression of Chemosensory Receptors in Heterologous Cells
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Cited by 6 •
2011
Here we demonstrate a protocol to carry out live cell staining that can be used to detect odorant receptors on the surface of HEK293T cells conveniently. In addition, it may also be used to assay for surface expression of other chemosensory receptors or GPCRs.
04:39
Wireless Surface Electromyography Recording of Facial Muscle Activity During Expressions
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2025
Source:Hila Man1, Paul F. Funk2, Ieva Vebraite-Adereth3, Christoph Anders4, Orlando Guntinas-Lichius2, Yael Hanein1,3,51Sagol School of Neuroscience, Tel Aviv University, 2Department of Otorhinolaryngology, Jena University Hospital, Friedrich-Schiller-University Jena, 3School of Electrical Engineering, Tel Aviv University, 4Division Motor Research, Pathophysiology and Biomechanics, Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Friedrich-Schiller-University...
FAQs
Genes determine which marker proteins or carbohydrate structures a cell can produce, while signaling pathways influence when production changes. Regulation also affects transport and display at the outer membrane, so marker abundance can shift as cells alter their identity, state, or function. These regulatory layers help explain why related populations may show different surface profiles.
The amount of a surface marker can reflect changes in cellular state or function, not only the cell type itself. Differentiation, activation, and disease-related changes may alter the profile displayed at the membrane. Measuring abundance therefore allows researchers to follow biological transitions and compare populations that share some markers but differ in their current condition.
As cells differentiate or become activated, regulated production, transport, and membrane display can change the combination and abundance of their markers. A resulting profile may indicate that a population has entered a new developmental or functional state. This makes marker analysis useful for tracking transitions rather than treating cell identity as completely fixed.
Antibodies bind selected surface proteins or carbohydrate structures, allowing those markers to be detected experimentally. The choice of antibody determines which feature is examined, while the measurement method determines whether researchers observe profiles, locations, or separated populations. This antibody-based recognition supports flow cytometry, immunostaining, and cell sorting in complementary ways.
A typical workflow selects markers relevant to the biological question, applies antibodies that bind those targets, and then examines the labeled cells with flow cytometry or immunostaining. If a particular population must be recovered, cell sorting can use the detected profile for isolation. The resulting data help distinguish populations or assess changes in marker abundance.
Cell sorting is useful when researchers need to isolate a population identified by its marker profile for further study. The approach can separate cells that differ in identity, developmental state, or activation status. Isolated populations can then support investigations of differentiation, immune responses, stem cells, cancer, or tissue organization.
Marker profiles help researchers distinguish cell types, monitor differentiation and activation, and characterize disease-related changes. In developmental and tissue studies, they contribute to examining organization and cellular transitions. In immune, stem-cell, and cancer research, the same strategy provides a way to identify or compare populations whose surface features change with biological context.