Cisplatin Staining
Cisplatin Staining - Related Videos
11:33
Microscopy and Staining: Gram, Capsule, and Endospore Staining
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2023
Source: Rhiannon M. LeVeque1, Natalia Martin1, Andrew J. Van Alst1, and Victor J. DiRita1 1 Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America Bacteria are diverse microorganisms found nearly everywhere on Earth. Many properties help distinguish them from each other, including but not limited to Gram-staining type, shape and arrangement, production of capsule, and formation of spores. To observe these properties, one...
13:25
Acute Kidney Injury Model Induced by Cisplatin in Adult Zebrafish
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Cited by 10 •
2021
This protocol describes the procedures to induce Acute Kidney Injury (AKI) in adult zebrafish using cisplatin as a nephrotoxic agent. We detailed the steps to evaluate the reproducibility of the technique and two techniques to analyze inflammation and cell death in the renal tissue, flow cytometry and TUNEL, respectively.
07:47
Custom-designed Laser-based Heating Apparatus for Triggered Release of Cisplatin from Thermosensitive Liposomes with Magnetic Resonance Image Guidance
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Cited by 17 •
2015
AN MRI-compatible custom-designed laser-based heating apparatus has been developed to provide local heating of subcutaneous tumors in order to activate release of agents from thermosensitive liposomes specifically at the tumor region.
03:12
May-Grunwald Giemsa Staining: A Method to Stain Bone Marrow Cells
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2023
This video describes the technique of staining bone marrow cells using May- Grünwald Giemsa Staining. In the protocol, we will stain the murine myeloid leukemia cells, C149 cells, to analyze the morphology and differential counting.
10:55
Staining Proteins in Gels
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Cited by 7 •
2008
Following separation by electrophoretic methods, proteins in a gel can be detected by several staining methods. Staining of proteins with Coomassie Blue, Silver Staining, SYPRO Orange, SYPRO Ruby are demonstrated in this video.
FAQs
Intact plasma membranes restrict cisplatin entry, whereas damaged membranes allow greater access to the cell interior. Once inside, cisplatin binds intracellular proteins and nucleic acids, creating a measurable signal. This membrane-dependent difference lets researchers separate viable and nonviable populations according to signal intensity during cytometric analysis rather than relying only on morphological assessment.
The assay converts differences in membrane permeability into cytometric signals. Cells with intact membranes generally show limited cisplatin-associated signal, while membrane-compromised cells accumulate more signal through intracellular binding. Flow cytometry or mass cytometry can then resolve these populations and quantify their relative abundance, supporting direct comparison among developmental samples or experimental conditions.
Lineage markers connect viability measurements with cellular identity. By examining cisplatin-associated viability signals alongside markers that identify particular lineages, researchers can determine whether genetic changes, environmental conditions, or treatments affect survival uniformly or selectively across developing cell types. Other phenotypic measurements add further context to the relationship between cell death and developmental state.
Both platforms can use cisplatin-associated signals to separate viable and nonviable populations, but the overview identifies them as complementary cytometric settings rather than interchangeable readouts. Flow cytometry and mass cytometry can therefore support the same core viability assessment while being paired with lineage or phenotypic measurements to examine increasingly detailed population-level effects in developmental models.
A supported workflow begins by exposing the sample to cisplatin staining, measuring the resulting signal with flow cytometry or mass cytometry, and separating populations according to membrane integrity. Researchers then quantify viable and nonviable fractions and can integrate lineage markers or other phenotypic measurements. The resulting profile reveals how a condition or treatment alters cell survival.
Researchers can apply the assay when they need to quantify cell death or tissue damage in developing cells, embryos, or organoid models. It is especially useful for comparing samples affected by genetic changes, environmental conditions, or experimental treatments. Combining viability data with developmental or lineage information helps relate survival outcomes to specific biological contexts.
The measured populations can show whether an experimental treatment is associated with greater or lesser cell survival, tissue damage, or cell death. In developmental biology, comparisons across treated and reference samples can be combined with lineage markers and other phenotypic measurements. This supports interpretation of treatment responses in developing cells, embryos, and organoid systems.