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Updated: Aug 7, 2026
10:51
Fluorescence Based Primer Extension Technique to Determine Transcriptional Starting Points and Cleavage Sites of RNases In Vivo
Published on: October 31, 2014
Use of self-quenched, fluorogenic LUX primers for gene expression profiling
1Research and Development, Invitrogen Corporation, Carlsbad, CA, USA.
Methods in Molecular Biology (Clifton, N.J.)
|June 21, 2006
Summary
A new real-time gene expression profiling system, LUX (Light Upon eXtension), uses novel fluorogenic primers for sensitive transcript detection. This method was successfully applied to study gene expression during neuronal differentiation in a mouse model.
Area of Science:
- Molecular Biology
- Biotechnology
- Neuroscience
Background:
- Gene expression profiling is crucial for understanding cellular processes.
- Existing real-time detection methods have limitations in sensitivity and primer design.
- Neuronal differentiation involves complex changes in gene expression patterns.
Purpose of the Study:
- To describe a novel real-time detection system for gene expression profiling.
- To introduce the LUX (Light Upon eXtension) system and its primer design software.
- To demonstrate the application of LUX fluorogenic primers in studying neuronal differentiation.
Main Methods:
- Development of the LUX (Light Upon eXtension) real-time detection system.
- Utilizing a single fluorescent dye molecule attached to an oligonucleotide near the 3'-end for signal generation.
- Employing primer design software to identify optimal LUX primer pairs.
- Applying LUX fluorogenic primers to analyze transcript expression in P-19 mouse neuronal model.
Main Results:
- The LUX system enables real-time detection of gene expression.
- Primer design software facilitates the identification of effective LUX primer pairs.
- Specific transcript expression patterns were determined during P-19 mouse neuronal differentiation.
Conclusions:
- The LUX system offers a sensitive and efficient approach for real-time gene expression profiling.
- LUX fluorogenic primers are effective for analyzing transcript dynamics in complex biological models.
- This technology advances the study of gene expression during neuronal development.
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