Fusion Transcript Detection
Fusion Transcript Detection - Related Videos
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.
10:35
A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction
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Cited by 6 •
2018
Detection of circulating ribonucleic acid (cRNA) from blood is an unmet need in clinical diagnostics. Here we describe methods that characterize cRNA from non-small cell lung cancer patients using sensitive and specific digital polymerase chain reaction. The tests meet design requirements to detect fusion variants within 72 hours.
04:31
Electrophoretic Mobility Shift Assay for Detection of Transcription Factor-DNA Complexes
0 Views •
2025
In this video, we demonstrate the electrophoretic mobility shift assay to detect protein-DNA interactions using infrared fluorescent-labeled DNA probes. When the protein binds to the DNA probe, it forms a large complex that migrates slowly on and appears as a shifted band on the gel.
02:45
Nuclear Fusion
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2020
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons. A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
09:19
Analysis of SNARE-mediated Membrane Fusion Using an Enzymatic Cell Fusion Assay
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2012
We have developed a cell fusion assay that quantifies SNARE-mediated membrane fusion events by activated expression of β-galactosidase.
FAQs
The key analytical signal is a sequence that crosses the joining point between the two gene-derived segments. Because normal gene products do not contain that same junction, junction-spanning reads or amplified products can distinguish a candidate fusion from expected transcripts. This makes the junction the central evidence used during targeted amplification, sequencing, or alignment.
Converting RNA into complementary DNA creates a form that can be examined by the downstream detection approaches described for this analysis. The resulting cDNA can then serve as the input for targeted amplification, sequencing, or alignment, allowing investigators to search specifically for junction-spanning sequences. This step connects the original RNA signal to measurable molecular evidence.
Targeted amplification, sequencing, and alignment provide different ways to recognize the same type of evidence. Amplification focuses analysis on selected transcript regions, whereas sequencing can provide sequence information for identifying joined segments; alignment evaluates sequence relationships that reveal a junction. Choosing among them depends on the detection question and the kind of evidence needed.
A basic workflow begins with RNA, converts it to complementary DNA, and applies a detection strategy directed toward possible fusion junctions. Investigators may use targeted amplification, sequencing, or alignment to examine the resulting material. The analysis then focuses on whether sequences spanning two distinct gene segments are present, producing evidence for a rearrangement or abnormal transcription.
In immunology and infection research, the approach can be applied to immune-cell samples to investigate oncogenic rearrangements, or to microbial and viral contexts to characterize integration events involving host genetic material. These uses extend beyond merely finding a transcript: they help connect molecular joining events with immune-cell signaling, infection-related processes, or host-pathogen interactions.
Detected junctions can support disease classification and biomarker development, while also informing studies of how genetic alterations affect cellular signaling. In infection-related and immune-mediated disorders, the findings can help clarify whether an observed molecular change reflects a rearrangement, abnormal transcription, or a pathogen-host interaction. Interpretation therefore links sequence evidence with disease and mechanistic questions.