Trap-rc Protocol
Trap-rc Protocol - Related Videos
09:27
RC/RL/LC Circuits
0 Views •
2023
Source: Yong P. Chen, PhD, Department of Physics & Astronomy, College of Science, Purdue University, West Lafayette, IN Capacitors (C), inductors (L), and resistors (R) are each an important circuit element with distinct behaviors. A resistor dissipates energy and obeys Ohm's law, with its voltage proportional to its current. A capacitor stores electrical energy, with its current proportional to the rate of change of its voltage, while an inductor stores magnetic energy, with its voltage...
10:26
TRAP-rc, Translating Ribosome Affinity Purification from Rare Cell Populations of Drosophila Embryos
0 Views •
Cited by 19 •
2015
Translating Ribosome Affinity Purification (TRAP) is able to capture cell-type-specific translation of mRNA. Here we report the first TRAP protocol dedicated to isolation of mRNA in rare cell populations of Drosophila embryos.
13:39
Optical Trapping of Nanoparticles
0 Views •
Cited by 7 •
2013
The following setup approach details low power optical trapping of dielectric nanoparticles using a double-nanohole in metal film.
04:10
A Trap-Vaccinate-Release Protocol for Immunization of Skunks and Additional Rabies Vectors Against Rabies
0 Views •
2024
Here, we present a protocol to demonstrate safe, trap-vaccinate-release (TVR) techniques for carnivores susceptible to rabies.
01:15
RC Circuit with Source
0 Views •
2024
When a DC source is abruptly applied to an RC (Resistor-Capacitor) circuit, the voltage can be represented as a unit step function. The voltage across the capacitor, known as the step response, characterizes how the circuit reacts to this sudden change in input. Due to the inherent properties of a capacitor, its voltage cannot change instantaneously. This means that immediately after the switch is closed, the capacitor's voltage remains the same as it was just before the switch was closed. By...
FAQs
Trap-rc enriches messenger RNAs that remain associated with ribosomes carrying the affinity tag. This focuses analysis on transcripts engaged with the protein-synthesis machinery rather than measuring every RNA present in the tissue. The resulting profile therefore complements whole-tissue RNA measurements by emphasizing cell-specific translational programs and transcripts that may otherwise be obscured by mixed cellular populations.
The tagged ribosomal protein provides the molecular handle that identifies ribosomes from the selected cell population. After tissue lysis, antibody-coated beads recognize this tag and capture the associated ribosomes. Messenger RNAs recovered with those ribosomes can then be analyzed as a cell-specific readout, linking the tagging strategy to selective transcript enrichment.
Cell separation is replaced by selective molecular capture. Target cells express the tagged ribosomal protein before the tissue is processed, so their ribosomes can be distinguished from untagged ribosomes in the combined lysate. This preserves a cell-type-specific translational signal even when the cells are embedded in complex tissues or are difficult to isolate individually.
The workflow begins with expression of the affinity-tagged ribosomal protein in the cells of interest, followed by preparation of a tissue lysate. Antibody-coated beads are then used to isolate tagged ribosomes, and the ribosome-associated messenger RNAs are recovered for downstream analysis. These steps connect selective capture with transcript profiling from the original tissue sample.
Researchers can use Trap-rc when mixed-cell RNA measurements would hide differences between cell types or fail to reveal transcripts associated with active translation in a selected population. The method is especially useful for examining cell-specific gene-expression programs in intact tissues, where physical separation may be impractical and population averaging could reduce biological resolution.
Trap-rc can support studies of development, neural circuits, tissue organization, and disease by showing which messenger RNAs are associated with translation in selected cells. Its results help connect gene expression with active protein synthesis and can identify cell-specific transcripts that whole-tissue analysis misses. This makes the approach valuable for comparing translational programs across biological contexts.