Cell Labeling Protocol
Cell Labeling Protocol - Related Videos
07:23
An Optimized Protocol for the Efficient Radiolabeling of Gold Nanoparticles by Using a 125I-labeled Azide Prosthetic Group
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Cited by 5 •
2016
A detailed procedure for the synthesis of a 125I-labeled azide and the radiolabeling of dibenzocyclooctyne (DBCO)-group-conjugated, 13-nm-sized gold nanoparticles using a copper-free click reaction is described.
09:17
Labeling and Imaging Cells in the Zebrafish Hindbrain
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Cited by 7 •
2010
Key to understanding the morphogenetic processes that shape the early embryo is the ability to image cells at high resolution. We describe here a technique for labeling single cells or small clusters of cells in whole zebrafish embryos with membrane-targeted Green Fluorescent Protein.
10:38
Label-free Isolation and Enrichment of Cells Through Contactless Dielectrophoresis
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Cited by 19 •
2013
Contactless dielectrophoresis (cDEP) achieves sorting and enrichment of particles via their intrinsic dielectric properties. Fluidic electrode channels replace metallic electrodes traditional to DEP, suiting cDEP to non-damaging sterile characterization and sorting of biological particles. We demonstrate how to prepare a cDEP microdevice and conduct cell characterization and sorting experiments.
07:20
Cell Labeling and Injection in Developing Embryonic Mouse Hearts
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Cited by 3 •
2014
We describe a series of methods to inject dyes, DNA vectors, virus, and cells in order to monitor both cell fate and phenotype of endogenous and grafted cells derived from embryonic or pluripotent cells within mouse embryos at embryonic day (E)9.5 and later stages of development.
09:34
5-Ethynyl-2'-Deoxyuridine/Phospho-Histone H3 Dual-Labeling Protocol for Cell Cycle Progression Analysis in Drosophila Neural Stem Cells
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Cited by 4 •
2021
Cell cycle analysis with 5-ethynyl-2'-deoxyuridine (EdU) and phospho-histone H3 (pH3) labeling is a multi-step procedure that may require extensive optimization. Here, we present a detailed protocol that describes all steps for this procedure including image analysis and quantification to distinguish cells in different cell cycle phases.
FAQs
These labels provide signals through different mechanisms. Fluorescent dyes mark cells with detectable chemical signals, antibody conjugates bind selected cell-surface markers, and genetically encoded reporters generate signals within living cells. The choice affects what researchers can identify and measure, including cell identity, location, behavior, distribution, or changes over time in medical research.
Cell-surface markers allow antibody conjugates to distinguish cells according to detectable features on their membranes. This supports targeted identification of cell populations rather than relying only on general visibility. In immune-cell characterization, marker-based labeling can help investigators evaluate the composition of complex samples and relate cellular profiles to disease models or treatment responses.
Accurate interpretation depends on the label producing a detectable signal and remaining useful for the intended analysis. Researchers consider whether they need to assess cell behavior, distribution, viability, or interactions, then select an appropriate detection approach. Microscopy can reveal labeled-cell location, whereas flow cytometry or sorting can support population-level measurement and separation.
Microscopy provides visual information about labeled cells and their positions within a sample. Flow cytometry enables detection and quantification of signals across cell populations, while cell-sorting approaches use detected characteristics to separate selected cells. Thus, the same labeling strategy can support different outcomes depending on whether the goal is visualization, measurement, sorting, or tracking.
A typical workflow begins by selecting a label suited to the cells and the intended measurement. Researchers then apply or introduce the label, detect its signal with microscopy, flow cytometry, or a sorting system, and analyze the resulting information. The final assessment may address cell identity, quantity, distribution, viability, behavior, or interactions.
The main analytical platforms identified for cell labeling are microscopy, flow cytometry, and cell-sorting systems. Microscopy supports visual examination, flow cytometry measures detectable signals across cells, and sorting approaches help separate populations based on those signals. Selecting among them depends on whether the experiment emphasizes location, quantification, population analysis, or recovery of selected cells.
Cell labeling supports several medical applications, including immune-cell characterization, disease modeling, drug development, and cell-based therapies. It helps investigators examine how cells behave in complex biological systems and evaluate treatment-related changes. These capabilities make labeling useful when researchers need to connect cellular identity or distribution with disease processes, therapeutic testing, or intervention outcomes.
Labels allow investigators to follow transplanted cells and examine their distribution within complex biological systems. Detectable signals can also support assessment of cell behavior, viability, or interactions after treatment. In this context, labeling provides a way to relate the presence and condition of cells to therapeutic studies, including cell-based therapies and evaluations of treatment-related changes.