In Vivo Detection
In Vivo Detection - Related Videos
06:58
Synthesis of an In vivo MRI-detectable Apoptosis Probe
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Cited by 3 •
2012
Early detection of apoptosis may identify at-risk cell populations in a variety of diseases. Here we demonstrate a method to link an early apoptosis-detection protein (Annexin V) to a MRI-detectable iron oxide nanoparticle (SPIO). This method may be extended to other proteins of interest to generate MRI-detectable molecular imaging probes.
08:13
A Cre-Lox P Recombination Approach for the Detection of Cell Fusion In Vivo
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Cited by 11 •
2012
A method to track cell fusion in living organisms over time is described. The approach utilizes Cre-LoxP recombination to induce luciferase expression upon cell fusion. The luminescent signal generated can be detected in living organisms using biophotonic imaging systems with a sensitivity of detection of ˜1,000 cells in peripheral tissues.
07:05
In Vivo Assay for Detection of Antigen-specific T-cell Cytolytic Function Using a Vaccination Model
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Cited by 4 •
2017
The goal of this protocol is to allow for detection of in vivo antigen-specific killing of a target cell in a murine model.
06:20
Detection of Enterohemorrhagic Escherichia Coli Colonization in Murine Host by Non-invasive In Vivo Bioluminescence System
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Cited by 1 •
2018
A detailed protocol of a mouse model for enterohemorrhagic E. coli (EHEC) colonization by using bioluminescence-labeled bacteria is presented. The detection of these bioluminescent bacteria by a non-invasive in vivo imaging system in live animals can advance our current understanding of EHEC colonization.
09:40
In Vivo Detection and Analysis of Rb Protein SUMOylation in Human Cells
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Cited by 2 •
2017
Small ubiquitin-related modifier (SUMO) family proteins are conjugated to the lysine residues of target proteins to regulate various cellular processes. This paper describes a protocol for the detection of retinoblastoma (Rb) protein SUMOylation under endogenous and exogenous conditions in human cells.
FAQs
The process begins when a sensor or probe recognizes its target through molecular binding or a biochemical reaction. That event changes a detectable property, which the device converts into an optical, electrical, magnetic, or other signal. Recording this signal over time allows investigators to connect target recognition with changing biological activity in the living system.
Measurements made within a living organism retain the surrounding physiological conditions that may be lost in isolated samples. This context helps relate molecular events to disease processes, drug distribution, tissue function, or implanted-device behavior. As a result, the recorded signal can reflect how a target changes within its actual biological environment rather than under simplified experimental conditions.
The useful readout depends on how the recognition event can be converted into a recordable signal and on what the investigation needs to monitor over time. Optical, electrical, magnetic, and other formats provide different ways to represent the same general sensing event. Selecting an appropriate signal supports quantitative tracking of the target or physiological process under study.
A typical workflow links four activities: identify the molecule, cell, or physiological signal of interest; position a bioengineered sensor or probe where that target can be assessed; convert recognition or reaction into a measurable signal; and record the output over time. Researchers then relate the quantitative readout to the biological process, treatment, tissue, or device being investigated.
Researchers would favor in vivo detection when the relationship between a target and its surrounding biology is central to the question. The approach can support monitoring of disease processes, drug distribution, tissue function, and implanted devices while those events occur. Its value is greatest when time-dependent changes or interactions within the organism would be difficult to preserve outside the body.
Bioengineering can connect a measured biological event with a quantitative readout that changes over time. That information helps researchers characterize disease-related activity, distribution of a drug, tissue performance, or implanted-device behavior. Such measurements provide a basis for developing therapeutic systems that respond to detected biological conditions, linking sensing with the design and evaluation of treatment technologies.