Trap-seq
Trap-seq - Related Videos
09:54
RNA-Seq
0 Views •
2023
Among different methods to evaluate gene expression, the high-throughput sequencing of RNA, or RNA-seq. is particularly attractive, as it can be performed and analyzed without relying on prior available genomic information. During RNA-seq, RNA isolated from samples of interest is used to generate a DNA library, which is then amplified and sequenced. Ultimately, RNA-seq can determine which genes are expressed, the levels of their expression, and the presence of any previously unknown transcripts.
05:07
Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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2025
This protocol allows initial quality control for RNA-seq experiments for wet-lab biologists with limited bioinformatics experience.
01:41
Social Traps
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2020
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned more cows, the larger...
11:45
Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps
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Cited by 19 •
2017
This paper presents a microfabrication methodology for surface ion traps, as well as a detailed experimental procedure for trapping ytterbium ions in a room-temperature environment.
13:39
Optical Trapping of Nanoparticles
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Cited by 7 •
2013
The following setup approach details low power optical trapping of dielectric nanoparticles using a double-nanohole in metal film.
FAQs
The method genetically directs selected cells to produce a ribosomal protein carrying an epitope tag. After tissue lysis, an affinity reagent recognizes that tag and captures the associated ribosomes together with their messenger RNAs. This connection links the recovered transcripts to the chosen cell population, allowing cell-specific analysis even when those cells remain embedded in complex tissue.
Physical separation can be difficult when different cell populations are intermingled within the same tissue. TRAP-seq instead uses genetically defined ribosomal tagging to enrich translating messenger RNAs from selected cells during purification. The resulting sequencing data can distinguish molecular programs associated with particular populations, supporting analysis of cellular differences that would be obscured in whole-tissue measurements.
These transcripts represent messenger RNAs associated with ribosomes engaged in active translation, rather than an undifferentiated sample of tissue RNA. Sequencing them reveals cell-specific translational programs and molecular changes linked to biological function. Consequently, the approach can show how selected populations alter their expressed translational profile in different biological settings.
A typical workflow begins by genetically directing the target cells to produce an epitope-tagged ribosomal protein. Researchers then prepare tissue lysates, use affinity purification to capture the tagged ribosomes, isolate the associated messenger RNAs, and analyze those RNAs by sequencing. Each step preserves the connection between the selected cell population and its translating transcripts.
This approach is useful when researchers need cell-type-specific molecular information from a complex tissue but do not want to rely on physical cell separation. The source describes applications in tissue heterogeneity, neural circuits, development, and disease. In these settings, enrichment from selected cells helps relate translational changes to specific biological populations and functions.
By assigning tagged ribosomes to selected cells, TRAP-seq can recover translating messenger RNAs from defined populations within neural or diseased tissues. Sequencing these transcripts enables comparison of cell-specific translational programs and molecular changes associated with biological function. This makes the method relevant for examining how particular populations participate in neural-circuit organization or disease-related molecular shifts.