Logout
If you want to log out click in LogOut
Cell surface marker analysis focuses on the characterization of proteins, glycoproteins, or carbohydrates expressed on the plasma membrane that enable cell identification, communication, and interaction with the extracellular environment
These markers define cellular identity across diverse biological contexts, including immune cell subsets, stem cell populations, and tumor cells. Their expression patterns are widely used to classify cell types, monitor differentiation states, and characterize disease-associated phenotypes.
Beyond phenotyping, surface markers also participate in signal transduction processes that regulate immune activation, proliferation, and cell fate decisions, making them central to both basic research and translational applications.
Cell surface marker profiles can be efficiently assessed by measuring gene expression of lineage-associated markers, activation-related molecules, adhesion proteins, and cell-type-specific transcriptional signatures. Such expression profiling supports precise characterization of cellular identity, functional states, and phenotypic heterogeneity across immune, stromal, and tumor-associated cell populations..
Cell surface markers biomarker list
Explore the genes included in our cell surface marker qPCR panels for high-throughput expression profiling.
Immune cell markers:
T cell: CD3D, CD4, CD8A
B cell: CD19, CD79A, MS4A1
Innate and myeloid markers: CD163, CSF1R, FCGR1A
Endothelial and adhesion markers: PECAM1, VCAM1, ICAM2
Cancer-associated markers: EPCAM, KRT8, KRT18
Stem cell and stromal markers: NT5E (CD73), ENG
These marker categories collectively reflect immune cell identity, activation states, tissue-specific phenotypes, and tumor-associated profiles.
Cell surface markers are not limited to passive identification. Many act as receptors or co-receptors that actively regulate intracellular signaling pathways.
Markers such as CD4 and CD8 participate in T cell receptor (TCR) signaling, modulating immune activation. Others, including EGFR and PD-1/PD-L1, influence tumor progression, immune evasion, and therapeutic response.
These molecules often function at the interface between extracellular signals and intracellular pathways, integrating environmental cues into coordinated cellular responses.
Gene expression analysis provides a robust and scalable approach to study cell surface markers beyond protein-level detection, enabling high-throughput and quantitative profiling across complex biological samples.
The panel integrates immune cell markers, antigen presentation molecules, adhesion proteins, and tumor-associated markers, providing a comprehensive view of cell identity and functional states.
This transcriptional approach complements protein-level analyses such as flow cytometry, enabling scalable and multiplexed investigation of cell surface marker expression.
Example biomarkers
CD3D, CD4, CD8A, CD19, CD34, EPCAM, PDCD1 (PD-1), CD274 (PD-L1)…
Cancer
Surface markers are widely used to classify tumor subtypes and identify therapeutic targets, including immune checkpoint molecules.
Immunological disorders
Altered expression of immune markers can reflect dysregulated immune activation and chronic inflammation.
Stem cell biology
Markers are essential for identifying stem cell populations and monitoring differentiation processes.
AnyGenes® develops and customizes SignArrays® qPCR panels for cell surface marker analysis, enabling:
AnyGenes® develops and customizes qPCR panels for cell surface marker analysis, integrating:
Scientific data is only as powerful as the analysis behind it.
AnyGenes® provides a dedicated data analysis tool specifically developed for SignArrays® pathway panels.
What does it allow you to do?
Developed on Excel (compatible with 2007+), the software is user-friendly and requires no advanced bioinformatics skills.
Customize your own signaling pathways (SignArrays®) with the factors of your choice!
Simply download and complete our Personalized SignArrays® information file
and send it at
[email protected]
to initiate your project.
They are used to identify and classify cell types, particularly in immunology, oncology, and stem cell research.
Yes, qPCR-based approaches allow indirect but scalable analysis of marker expression profiles.
They serve as therapeutic targets and help predict treatment response.
qPCR enables high-throughput, quantitative, and multiplexed analysis across many genes.
Some are conserved, but expression patterns can vary across species.
| Signaling Pathways | Product ref | Informations |
|---|---|---|
Cell Surface Markers | CSM1H1 |
| Signaling Pathways | Product ref | Informations |
|---|---|---|
Cell Surface Markers | CSM1M1 |
| Signaling Pathways | Product ref | Informations |
|---|---|---|
Cell Surface Markers | ******* |
Biomarker list in progress. |
| Signaling Pathways | Product ref | Informations |
|---|---|---|
Cell Surface Markers | ******* |
Biomarker list in progress. |
Looking for more answers? Visit our Help & FAQ section to find detailed informations about our products, services, and technical support.
1. Fonseca LN, et al. Cell surface markers for mesenchymal stem cells related to the skeletal system: A scoping review. Heliyon. (2023)10;9(2):e13464.
2. Gosmann D, et al. Promise and challenges of clinical non-invasive T-cell tracking in the era of cancer immunotherapy. EJNMMI Res. (2022)31;12:5.
3. Meyfour A, et al. The quest of cell surface markers for stem cell therapy. Cell Mol Life Sci. (2021) ;78(2):469-495.