P53 Expression
P53 Expression - Related Videos
04:56
Detection of Aggregation-Prone Behavior in Mutant P53 V157F Breast Cancer Cells Using Multipoint Thioflavin T Fluorescence
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2025
Hs578T breast cancer cells harboring the p53 V157F mutation exhibit significantly higher Thioflavin T fluorescence compared to MCF7 cells, indicating enhanced protein aggregation. Multipoint fluorescence measurements improve detection accuracy and reliability in identifying β-sheet-rich aggregates, underscoring the importance of aggregation-prone p53 mutations in cancer research and the development of therapeutic strategies.
10:55
Purification of Ubiquitinated p53 Proteins from Mammalian Cells
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Cited by 1 •
2022
The protocol describes a step-by-step method to purify ubiquitinated proteins from mammalian cells using the p53 tumor suppressor protein as an example. Ubiquitinated p53 proteins were purified from cells under stringent nondenaturing and denaturing conditions.
17:59
Derivation of Thymic Lymphoma T-cell Lines from Atm-/- and p53-/- Mice
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Cited by 11 •
2011
In this video we demonstrate a protocol to establish mouse thymic lymphoma cell lines. By following this protocol, we have successfully established several T-cell lines from Atm-/- and p53-/- mice with thymic lymphoma.
14:57
Yeast As a Chassis for Developing Functional Assays to Study Human P53
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Cited by 16 •
2019
Presented here are four protocols to construct and exploit yeast Saccharomyces cerevisiae reporter strains to study human P53 transactivation potential, impacts of its various cancer-associated mutations, co-expressed interacting proteins, and the effects of specific small molecules.
10:34
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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Cited by 2 •
2010
This procedure describes a quick and easy workflow to introduce siRNA into difficult to transfect cell lines and follow gene expression by real-time PCR. Use of an automated cell counter, multi-well electroporation plate, and automated electrophoresis station provide quick and reliable results without the need for expensive robotic handling.
FAQs
DNA damage, oncogenic stress, or other cellular abnormalities can stabilize p53, increasing its cellular abundance and enabling it to activate specific target genes. This change connects the initial stress signal with downstream control of cell behavior. Depending on the cellular context, the resulting response may pause the cell cycle, support DNA repair, promote senescence, or initiate apoptosis.
Activated p53 target genes can produce several protective outcomes rather than a single uniform response. Cell-cycle pausing may limit the propagation of damaged DNA, while DNA-repair programs may support genomic maintenance. If cellular abnormalities persist or cannot be resolved, p53 activity can instead contribute to senescence or apoptosis, helping restrict abnormal cell survival.
Altered p53 expression may reflect changes in the TP53 gene itself or disruption of regulatory pathways controlling the protein. Consequently, an unusual expression pattern does not provide a complete explanation of tumor behavior on its own. Interpreting the finding with genetic information helps distinguish possible molecular causes and places the cellular measurement in a broader biological context.
Expression findings are most informative when considered alongside genetic and clinical data. The combined assessment can clarify whether altered p53 abundance is associated with TP53 changes, disrupted regulation, or features of the disease presentation. This integrated approach reduces the risk of treating one molecular measurement as a complete description of tumor biology, response, or prognosis.
Measurement is relevant when investigators or clinicians are examining cancer biology, classifying tumors, evaluating treatment response, or studying disease prognosis. Its value depends on the question being asked and on how the result relates to other molecular and clinical findings. In this context, expression data can contribute to tumor characterization and to research on therapeutic strategies.
Patterns of p53 expression can be used as part of investigations into how tumors behave and how they respond to treatment. They may also contribute to studies of likely disease outcomes and therapeutic strategy development. Because expression can reflect mutations or regulatory disruption, researchers need to interpret it with genetic and clinical evidence rather than using it as an isolated predictor.