Marker Expression
Marker Expression - Related Videos
06:56
Near Infrared (NIr) Light Increases Expression of a Marker of Mitochondrial Function in the Mouse Vestibular Sensory Epithelium
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Cited by 4 •
2015
Mitochondrial dysfunction is a hallmark of cellular senescence. This paper uses non-invasive near-infrared (NIr) treatment to improve mitochondrial function in the aging mouse vestibular sensory epithelium.
03:19
Transduction to Label PDX Tumor Cells: Introducing Lentivirus Expressing Fluorescent Marker into the Tumor Cell In Vitro
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2023
The following video describes a technique of transduction to label (patient-derived xenografts) PDX tumor cells, which is used for introducing lentivirus expressing green-fluorescent protein and luciferase reporters into the tumor cell in vitro.
05:30
Trophoblast Cell Recovery from Angiogenesis-Tube Formation Assay for Differentiation Marker Expression Analysis
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Cited by 3 •
2024
The present protocol allows the recovery of tube-like structures formed in the classical in vitro angiogenesis-tube formation assay where cells, such as trophoblast cells, organize in capillary-like structures over a layer of extracellular basement membrane matrix. The recovered structures are used for RNA and protein isolation for various biochemical analyses.
11:13
Adenoviral Gene Therapy for Diabetic Keratopathy: Effects on Wound Healing and Stem Cell Marker Expression in Human Organ-cultured Corneas and Limbal Epithelial Cells
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Cited by 27 •
2016
An example of adenoviral gene therapy in the human diabetic organ-cultured corneas is presented towards the normalization of delayed wound healing and markedly reduced epithelial stem cell marker expression in these corneas. It also describes the optimization of this process in stem cell-enriched limbal epithelial cultures.
09:38
Multiplexed Immunofluorescence Assay for Spatial Assessment of Senescence Markers in vivo
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2026
Multiplexed immunofluorescence enables sequential labeling of multiple antibody markers within a single tissue section to support spatial analysis of tissue architecture and cell populations. Here, a workflow for multiplex detection of senescence-associated, structural, and immune markers is presented, including manual and automated slide preparation, iterative imaging, and single-cell analysis using digital pathology software.
FAQs
Regulatory signals can activate or repress marker genes. When activated, the resulting gene activity can increase RNA or protein levels, whereas repression can reduce them. These molecular changes create a measurable pattern. Researchers interpret that pattern alongside other markers to assess cell identity, developmental state, or biological condition.
Using several markers provides a broader pattern of evidence than examining one molecular feature alone. Comparing the levels of multiple markers across samples can help distinguish cell populations, characterize disease-associated changes, and evaluate whether an experimental treatment affected cellular behavior. The combined profile therefore supports more specific biological interpretation.
During differentiation, cells can change which marker genes are active and which RNA or protein levels are detectable. Comparing profiles across samples allows researchers to associate particular patterns with developmental states and transitions. This approach is also relevant to regenerative medicine, where characterization of cellular identity and state is important.
Marker profiles can vary with cell type, developmental state, and biological condition because regulatory signals may activate or repress different marker genes. Disease-associated changes and experimental treatments can also alter the measured pattern. Considering these influences helps researchers interpret whether differences between samples reflect cellular identity, a transition, disease, or treatment response.
Researchers can assess marker expression with immunostaining, flow cytometry, or quantitative PCR. These techniques provide practical ways to detect or measure selected molecular features, including genes or proteins. Applying a consistent measurement approach across samples supports comparison of marker profiles and helps studies examine cell populations, differentiation, disease-associated changes, or treatment responses.
Comparison turns individual measurements into biological evidence. By examining marker levels across samples, researchers can identify differences in cellular identity, distinguish populations, characterize disease-associated changes, or evaluate responses to an experimental treatment. The resulting profile helps relate measured molecular features to broader questions about cellular function, state, and transition.
In immunology, cancer, development, and regenerative medicine, marker expression provides a way to characterize cells and biological states. Researchers can use profiles to distinguish populations, follow differentiation, examine disease-associated changes, and evaluate treatment responses. Its value across these fields comes from linking measurable molecular features with questions about identity, function, and transition.
An experimental treatment can be evaluated by comparing marker profiles between relevant samples. Changes in RNA or protein levels may provide evidence that cellular identity, function, or state has shifted in association with the treatment. This application is particularly relevant to studies of disease-associated changes and regenerative medicine, where treatment response is an important outcome.