Cell Marker Detection
Cell Marker Detection - Related Videos
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.
05:44
The c-FOS Protein Immunohistological Detection: A Useful Tool As a Marker of Central Pathways Involved in Specific Physiological Responses In Vivo and Ex Vivo
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Cited by 44 •
2016
Here, we present a protocol based on c-FOS protein immunohistological detection, a classical technique used for the identification of neuronal populations involved in specific physiological responses in vivo and ex vivo.
08:45
Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance
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Cited by 22 •
2017
This study implemented whole genome sequencing for analysis of mutations in genes conferring antifungal drug resistance in Candida glabrata. C. glabrata isolates resistant to echinocandins, azoles and 5-flucytosine, were sequenced to illustrate the methodology. Susceptibility profiles of the isolates correlated with presence or absence of specific mutation patterns in genes.
10:56
Co-localization of Cell Lineage Markers and the Tomato Signal
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Cited by 18 •
2016
We developed two sets of tracing combinations in Rosa26tdtomato (ubiquitously expressed in all cells)/Cre (specifically expressed in chondrocytes) mice: one with 2.3Col1a1-GFP (specific to osteoblasts) and one with immunofluorescence (specific to bone cells). The data demonstrate the direct transformation of chondrocytes into bone cells.
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.
FAQs
The marker must correspond to a molecular feature associated with a cell type, state, or function, and its binding event must produce a measurable signal. Interpreting that signal in the context of heterogeneous samples allows researchers to classify cells rather than treating the sample as uniform. This supports comparisons among cellular populations and identification of biologically meaningful differences.
Antibodies recognize target proteins, whereas nucleic acid probes bind selected transcripts. This distinction lets researchers examine different molecular layers of cellular biology, depending on whether the relevant marker is a protein or a nucleic acid sequence. The selected binding reagent is paired with a fluorescent or enzymatic label so the target can be detected through an appropriate assay.
Labels convert molecular binding into a detectable output. Fluorescent labels can generate signals measured through microscopy or flow cytometry, while enzymatic labels provide another signal-producing format for related assays. Without this signal-generation step, binding between the reagent and target would not be readily translated into the measurements needed to characterize cells.
A general workflow selects a marker linked to the cellular feature of interest, applies an antibody or nucleic acid probe, and allows that reagent to bind its target. A fluorescent or enzymatic label then generates the detectable signal, which is measured using microscopy, flow cytometry, or another related assay. The resulting measurements support cell classification or comparison.
Microscopy and flow cytometry are measurement platforms that capture signals produced by labeled marker-binding reagents. Their inclusion in cell marker detection gives researchers ways to examine labeled cells and quantify or characterize marker-associated signals. The chosen platform depends on the intended analysis, such as studying tissue samples, classifying cells, or evaluating defined populations.
The approach is particularly useful when a sample contains multiple cell types or when cells change during differentiation, activation, disease-associated processes, or model development. Researchers apply it to tissue analysis, developmental biology, immunology, and cancer investigation. It also helps validate cellular models by testing whether their marker patterns correspond to the intended biological state.
Marker signals can identify populations with selected molecular characteristics, allowing researchers to distinguish defined groups within a heterogeneous sample. Those groups may then be isolated for further study, according to the experimental design. This connects detection with downstream biological investigation, including analysis of differentiation, activation, disease-associated changes, or the properties of cellular models.