Rna Dimerization
Rna Dimerization - Related Videos
10:39
Visualization of ATP Synthase Dimers in Mitochondria by Electron Cryo-tomography
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Cited by 43 •
2014
We present a protocol of how to collect and process electron cryo-tomograms of whole mitochondria. The technique provides detailed insights into the structure, function, and organization of large membrane protein complexes in native biological membranes.
10:52
Visualization and Quantification of Intermolecular RNA Base Pairing in in vitro RNA Clusters Using Split Broccoli RNA Reporters
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2026
This protocol describes a visual assay using split Broccoli RNA reporters to detect and quantify intermolecular base pairing in RNA clusters in vitro.
10:44
Isolating Free Carbenes, their Mixed Dimers and Organic Radicals
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Cited by 5 •
2019
We present protocols for the isolation of stable heterocyclic carbenes. The synthesis of a cyclic (alkyl)(amino) carbene (CAAC) and an N-heterocyclic carbene (NHC) is demonstrated using filter cannulas and Schlenk technique. We furthermore present the synthesis of the related oxygen-sensitive, electron-rich mixed “Wanzlick dimer” and the reduced stable organic radical.
08:52
Chemical Dimerization-Induced Protein Condensates on Telomeres
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Cited by 10 •
2021
This protocol illustrates a chemically induced protein dimerization system to create condensates on chromatin. The formation of promyelocytic leukemia (PML) nuclear body on telomeres with chemical dimerizers is demonstrated. Droplet growth, dissolution, localization and composition are monitored with live cell imaging, immunofluorescence (IF) and fluorescence in situ hybridization (FISH).
09:54
RNA-Seq
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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.
FAQs
Partner recognition depends on the structural features displayed by each RNA molecule. Exposed loops and stems can present complementary bases for pairing, while tertiary contacts can create additional interfaces between separate strands. These features determine how closely the molecules fit and whether their association forms a stable higher-order complex under suitable ionic and structural conditions.
Association with a second RNA can reshape the original molecule or stabilize a particular structural arrangement. Those changes may alter which regions remain exposed, how the RNA organizes genetic information, or how it participates in larger molecular assemblies. Consequently, dimerization can influence RNA stability and activity rather than simply combining two otherwise unchanged strands.
Ionic conditions and RNA structure strongly influence whether association occurs. Ions can support the structural arrangements needed for two strands to approach and maintain contacts, while the folding of stems, loops, and tertiary regions determines which interaction surfaces are available. Changes in either factor can therefore favor or hinder formation of the higher-order complex.
Complementary base pairing uses matching bases between RNA regions, whereas noncanonical interactions rely on other specific contacts within the folded molecules. Both mechanisms can bring separate strands together, but they may recognize different structural features and produce different complex architectures. Considering both interaction types is important when explaining how a particular RNA association forms.
An investigation should consider the RNA regions that are exposed, including loops and stems, along with possible tertiary contacts between strands. It should also evaluate the ionic and structural conditions in which association is observed. Relating these features to changes in RNA structure, stability, or activity helps connect molecular interactions with biological outcomes.
In biology, these associations contribute to viral genome packaging, RNA regulation, and the assembly of ribonucleoprotein complexes. Studying them can clarify how RNA molecules organize genetic information and interact within larger systems. The same principles support the design of RNA-based therapeutics, sensors, and molecular tools whose function depends on controlled RNA structure or association.