Synthetic Biomarkers
Synthetic Biomarkers - Related Videos
07:28
Synthetic Biology
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2023
This video presents synthetic biology and its role in bioengineering. Synthetic biology refers to the methods used to genetically modify organisms in order to make them capable of producing large quantities of a product. This product could be a protein that the cell already makes or a new protein that has been encoded in a newly-inserted DNA sequence. Here, we discuss how an organism's genetic material is modified using transformation or transfection. Then, the process is shown in the...
04:33
CRISPR-Cas-mediated Multianalyte Synthetic Urine Biomarker Test for Portable Diagnostics
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Cited by 3 •
2023
This protocol describes a CRISPR-Cas-mediated, multianalyte synthetic urine biomarker test that enables point-of-care cancer diagnostics through the ex vivo analysis of tumor-associated protease activities.
08:29
Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Cited by 29 •
2012
We describe a rat model of post traumatic stress disorder (PTSD) that reveals the persistent alterations in neuroendocrine function and the delayed long-term, exaggerated fear response, characteristic of PTSD patients. The animal model and methods described here are useful for correlating biomarkers in brain nuclei, which are mechanistic but cannot be measured in patients, with biomarkers in peripheral white blood cells, which can.
04:36
Production of Synthetic Nuclear Melt Glass
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Cited by 1 •
2016
A protocol for the production of synthetic nuclear melt glass, similar to trinitite, is presented.
08:28
An Overview of bGDGT Biomarker Analysis for Paleoclimatology
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Throughout this series of videos, natural samples were extracted and purified in search of organic compounds, called biomarkers, that can relate information on climates and environments of the past. One of the samples analyzed was sediment. Sediments accumulate over geologic time in basins, depressions in the Earth into which sediment flows through the action of fluid (water or air), movement, and gravity. Two main types...
FAQs
Their operation depends on a linked sequence of functions: an engineered component recognizes a disease-related molecular cue or physiological change, then a genetic circuit, sensor protein, or engineered cell converts that recognition into an output. The resulting reporter molecule, fluorescence signal, or body-fluid measurement provides an indirect but quantifiable readout of the underlying biological activity.
These components provide different points of control within the sensing system. Sensor proteins can detect a molecular cue, genetic circuits can process or regulate the response, and engineered cells can integrate sensing with signal production. Selecting among them allows bioengineers to connect a particular biological event with an output suited to detection, monitoring, or experimental analysis.
They translate an internal molecular or cellular event into a signal that can be measured through a reporter molecule, fluorescence, or a body-fluid change. This signal conversion can make otherwise difficult-to-observe activity more accessible for analysis. The approach is especially relevant when the desired information concerns disease state, treatment response, or dynamic cellular behavior.
A useful result depends on the relationship between the biological cue and the engineered readout. The sensing component must be connected to an output that reflects the targeted disease state, physiological change, or cellular activity, while the signal must be quantifiable in an appropriate context. These design choices influence whether the system supports detection, monitoring, or process studies.
A study first identifies the disease state, physiological change, or cellular activity to be tracked. Researchers then select or engineer a recognition component, connect it to a genetic circuit, sensor protein, or engineered cell, and choose a measurable output. The resulting signal can be examined in body fluids or other experimental settings to evaluate the targeted biological change.
They are useful when researchers need information about biological activity without relying solely on direct measurement of the underlying process. Their detectable outputs can support noninvasive disease detection, follow changes during treatment, and help characterize cellular dynamics. In bioengineering, this makes them relevant to precision diagnostics and to decisions that may need to reflect individual biological responses.