Cancer Signal Transduction
Cancer Signal Transduction - Related Videos
10:13
A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
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Cited by 6 •
2013
Achieving a systems level understanding of cellular processes is a goal of modern-day cell biology. We describe here strategies for multiplexing luciferase reporters of various cellular function end-points to interrogate gene function using genome-scale RNAi libraries.
12:24
Mimicking the Function of Signaling Proteins: Toward Artificial Signal Transduction Therapy
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2016
We present guidelines for developing synthetic 'chemical transducers' that can induce communication between naturally unrelated proteins. In addition, detailed protocols are presented for synthesizing and testing a specific 'transducer' that enables a growth factor to activate a detoxifying enzyme and consequently, to regulate the cleavage of an anticancer prodrug.
01:26
Signal Transduction: Overview
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2025
Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk. Typically, signal transduction involves three...
04:59
Retroviral-Mediated Transduction: A Method to Introduce Target Gene into Cancer Cells
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2023
This video describes the protocol for genetic validation by transferring target genes using retroviruses in chronic myeloid leukemia cell lines. The retroviruses act as a mediator to transfer genetic material into the leukemia cell through the process called transduction, which enables long term expression of target gene.This method can be applied to any target cells for genetic validation and therapeutic development.
19:02
High-Efficiency Transduction of Liver Cancer Cells by Recombinant Adeno-Associated Virus Serotype 3 Vectors
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Cited by 29 •
2011
In this article, we describe the identification of the adeno-associated virus serotype 3 (AAV3) as the most efficient vector for targeting human liver cancer cells.
FAQs
Signals may begin outside the cell through extracellular cues or arise internally from genetic alterations. These events can activate receptors and intracellular proteins, which then pass information through phosphorylation cascades and alter transcription. The resulting changes help explain how cancer cells disrupt normal controls over growth, survival, invasion, treatment response, and other behaviors relevant to disease progression.
Phosphorylation cascades transmit information through successive molecular steps inside a cancer cell. By activating intracellular proteins in sequence, they connect an initial receptor or genetic alteration with changes in gene transcription. This mechanism matters because altered signaling can influence cell-cycle control, apoptosis, angiogenesis, immune recognition, and treatment response, linking molecular events to clinically important tumor characteristics.
These networks serve as major signaling frameworks for tracing how molecular inputs produce cancer-related cellular changes. Examining them can clarify abnormal growth, survival, invasion, or responses to treatment without treating every tumor as biologically identical. Their activity also provides a basis for identifying signaling abnormalities that may support biomarker development or the design of targeted treatments.
Mapping pathways connects molecular alterations with downstream cellular outcomes, making tumor biology easier to interpret. This approach can reveal which signaling changes are associated with abnormal growth, survival, invasion, or treatment response. In medicine, that information supports the search for biomarkers, helps stratify patients, and guides the development of treatments aimed at relevant molecular targets.
Studying signaling alterations can identify molecular features that distinguish tumors or indicate how they may behave. Those features can become candidate biomarkers, while comparing signaling patterns can support patient stratification, meaning the grouping of patients according to biologically relevant characteristics. This connection helps align tumor biology with treatment planning and with research into differences in treatment response.
Changes in signaling can help explain why a tumor responds differently over time or fails to maintain a treatment response. Because cancer pathways regulate survival and treatment-related behavior, mapping their alterations can reveal mechanisms associated with drug resistance. This perspective links molecular pathway analysis with the study of tumor evolution and supports efforts to design more effective targeted treatments.