Compound Translocation
Compound Translocation - Related Videos
12:27
Measuring Peptide Translocation into Large Unilamellar Vesicles
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Cited by 9 •
2012
This protocol details a method for the quantitative measure of peptide translocation into large unilamellar lipid vesicles. This method also provides information about the rate of membrane translocation and can be used to identify peptides that efficiently and spontaneously cross lipid bilayers.
12:23
Analysis of Yersinia enterocolitica Effector Translocation into Host Cells Using Beta-lactamase Effector Fusions
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Cited by 5 •
2015
Effector translocation into host cells via a type III secretion system is a common virulence strategy among gram-negative bacteria. A beta-lactamase effector fusion based assay for quantitative analysis of translocation was applied. In Yersinia infected cells, conversion of a FRET reporter by the beta-lactamase is monitored using laser scanning microscopy.
05:39
Quantitative Measurement of GLUT4 Translocation to the Plasma Membrane by Flow Cytometry
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Cited by 20 •
2010
This protocol describes a rapid technique to quantify the translocation of GLUT4 from the cytoplasm to the plasma membrane of cells by flow cytometry.
10:41
Detection of Toxin Translocation into the Host Cytosol by Surface Plasmon Resonance
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Cited by 14 •
2012
In this report, we describe how surface plasmon resonance is used to detect toxin entry into the host cytosol. This highly sensitive method can provide quantitative data on the amount of cytosolic toxin, and it can be applied to a range of toxins.
02:47
Evaluating the Effect of Beneficial Bacteria on Gut Microbial Translocation in Heat-Stressed Rats
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2025
Source: Sorokulova, I., et al. Prevention of Heat Stress Adverse Effects in Rats by Bacillus subtilis Strain. J. Vis. Exp. (2016)This video demonstrates rats pre-treated with beneficial bacteria or phosphate-buffered saline (PBS) and exposed to heat stress to evaluate gut barrier integrity. Fewer gut-derived bacterial colonies from the liver of treated rats, in contrast to numerous colonies in control rats, indicate an intact epithelial barrier and minimal bacterial translocation.
FAQs
During meiosis, rearranged chromosomes may not pair and segregate in the same way as chromosomes without the rearrangement. Their altered structure can generate unusual pairing and segregation patterns, making meiosis an important context for understanding how compound translocations are transmitted. These patterns also help connect chromosome architecture with reproductive failure and the formation of unbalanced genetic material.
Breakpoint locations show where chromosome segments were interrupted and rejoined. Defining them helps researchers determine which chromosomes participate in the rearrangement and whether particular genes or genomic regions are affected. This information supports gene mapping and provides a more precise way to characterize genomic changes than identifying the participating chromosomes alone.
A balanced rearrangement exchanges genetic material without a major net gain or loss, whereas an unbalanced rearrangement includes duplicated or deleted segments. This distinction is important because the chromosome structure may be altered in both cases, but the amount of genetic material differs. Comparing the two forms helps researchers interpret chromosome behavior and genomic effects.
These methods can identify the chromosomes involved and define the locations of the rearrangement breakpoints. Using both forms of analysis supports complementary levels of genome characterization: chromosome-level information establishes the participating structures, while breakpoint definition clarifies how the DNA segments were joined. The resulting data can support genetic diagnosis and broader genome analysis.
An investigation begins by determining which chromosomes participate in the rearrangement, followed by analysis to define the breakpoints where chromosome segments were rejoined. Researchers can then assess whether the rearrangement is balanced or unbalanced and relate its structure to meiotic behavior or genomic change. This workflow organizes chromosome identification before interpretation of genetic consequences.
Researchers study these rearrangements when they need to map genes, analyze chromosome behavior, investigate reproductive failure, or characterize disease-associated genomic changes. The same chromosomal analysis can therefore address both fundamental biology and medically relevant questions. Its value comes from linking the physical organization of chromosomes with inheritance, genome structure, and observed biological outcomes.
Identifying participating chromosomes and defining rearrangement breakpoints can provide evidence for a specific genomic change in an individual or biological sample. In genetic diagnosis, this information helps characterize the chromosome abnormality. In disease research, it supports investigation of genomic changes associated with disease, while also contributing to broader understanding of chromosome organization and instability.