Temporal Signal Modulation
Temporal Signal Modulation - Related Videos
10:12
Measuring Spatial and Temporal Ca2+ Signals in Arabidopsis Plants
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Cited by 9 •
2014
Ca2+ signaling regulates diverse biological processes in plants. Here we present approaches for monitoring abiotic stress induced spatial and temporal Ca2+ signals in Arabidopsis cells and tissues using the genetically encoded Ca2+ indicators Aequorin or Case12.
06:42
Identifying Kinase Inhibitors that Modulate the Thymocyte Response to Strong TCR Signals
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2025
In this video, we describe a method to identify the small-molecule kinase inhibitors that modulate the apoptosis of self-reactive CD4+CD8+ double-positive immature thymocytes. Apoptosis is induced in the double-positive thymocytes by activating them with anti-CD3- and anti-CD28-coated magnetic beads; this is followed by a small-molecule inhibitor treatment and flow cytometry analysis to detect if the inhibitors modulate the apoptotic marker expression.
02:29
Modulating Sensory Neuronal Signaling in a Mouse Model Using Near Infrared Light
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2025
Source: Zhang, L., et al. Near Infrared (NIr) Light Increases Expression of a Marker of Mitochondrial Function in the Mouse Vestibular Sensory Epithelium. J. Vis. Exp. (2015)This video demonstrates the process of applying NIr light to a shaved mouse scalp to activate vestibular neurons and stimulate superoxide dismutase-1 (SOD-1) production, supporting neuronal function. The procedure highlights NIr therapy as a neuroprotective strategy.
11:31
Establishment of a High-throughput Setup for Screening Small Molecules That Modulate c-di-GMP Signaling in Pseudomonas aeruginosa
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Cited by 2 •
2016
This article describes the high-throughput assay that has been successfully established to screen large libraries of small molecules for their potential ability to manipulate cellular levels of cyclic di-GMP in Pseudomonas aeruginosa, providing a new powerful tool for antibacterial drug discovery and compound testing.
09:43
Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Cited by 10 •
2017
We demonstrate the transmission of multiple independent signals through a multimode fiber using wavefront shaping employing a single spatial light modulator. By modulating the wavefront for each signal individually, spatially separated foci are transmitted. Potential applications are multiplexed data transfer in communications engineering and endoscopic light delivery in biophotonics.
FAQs
These features provide different ways to encode biological information. Amplitude changes the signal’s strength, frequency describes how often events occur, duration captures how long stimulation persists, and pulse timing specifies when events appear relative to one another. Receptors and downstream pathways can interpret these dimensions differently, helping cells distinguish brief inputs from sustained stimulation and produce appropriately timed responses.
Transient and sustained inputs generate different temporal patterns for receptors and signaling networks to process. A brief signal may favor rapid cellular responses, whereas continued stimulation can engage feedback and signal-processing mechanisms that reshape the response over time. This distinction allows biological systems to separate changing environmental or physiological cues from persistent conditions and coordinate decisions accordingly.
Feedback modifies the timing and form of a signal after it enters a cellular pathway. By acting through signal-processing networks, feedback can alter amplitude, persistence, pulse structure, or the relationship between successive events. These changes affect how downstream components interpret information, making feedback important for linking signal dynamics with cellular decisions rather than treating every input as a simple constant stimulus.
Researchers examine how a biological signal changes over time, focusing on features such as amplitude, frequency, duration, and pulse timing. These measurements can be compared with receptor activity, downstream pathway behavior, or later cellular outcomes. Time-dependent analysis helps connect observed signal patterns with decisions made by cells, developmental outcomes, and mechanisms associated with disease.
Neuronal communication, hormone release, intracellular signaling, and gene regulation provide important contexts because their signals change over time and coordinate responses. Studying temporal patterns in these processes can reveal whether biological information is carried through signal strength, repetition, persistence, or timing. The resulting analysis helps explain how cells and organisms respond to changing physiological and environmental conditions.
Time-dependent measurements allow researchers to compare signal patterns with developmental outcomes or disease-associated cellular behavior. Abnormalities may involve altered strength, persistence, repetition, or timing rather than a complete loss of signaling. Connecting these dynamics to cellular decisions helps clarify how biological systems process cues and how disrupted signal patterns could influence development or disease mechanisms.