Microrna Response Elements
Microrna Response Elements - Related Videos
01:22
MicroRNAs
0 Views •
2019
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
09:05
MicroRNA-based Regulation of Picornavirus Tropism
0 Views •
Cited by 4 •
2017
We describe here a method for regulating picornavirus tropism by incorporating sequences complementary to specific microRNAs into the viral genome. This protocol can be adapted to all different classes of viruses with modifications based upon the length and nature of their life cycle.
09:13
Hydroponics: A Versatile System to Study Nutrient Allocation and Plant Responses to Nutrient Availability and Exposure to Toxic Elements
0 Views •
Cited by 102 •
2016
Here, we present an easy-to-follow protocol to establish a successful hydroponic system for plant nutrition studies. This protocol has been extensively tested in Arabidopsis and can easily be adapted to other plant species to study specific nutritional requirements or the effect of non-essential elements on plant growth and development.
04:00
Periodic Classification of the Elements
0 Views •
2020
The periodic table arranges atoms based on increasing atomic number so that elements with the same chemical properties recur periodically. When their electron configurations are added to the table, a periodic recurrence of similar electron configurations in the outer shells of these elements is observed. Because they are in the outer shells of an atom, valence electrons play the most important role in chemical reactions. The outer electrons have the highest energy of the electrons in an atom...
11:28
A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
0 Views •
Cited by 8 •
2015
The current study prescribes a coupled experiment-finite element simulation methodology to obtain the uniaxial dynamic mechanical response of soft biomaterials (brain, liver, tendon, fat, etc.). The multiaxial experimental results that arose because of specimen bulging obtained from Split-Hopkinson Pressure Bar testing were rendered to a uniaxial true stress-strain behavior when simulated through iterative optimization of the finite element analysis of the biomaterial.
FAQs
Seed-region pairing provides a key basis for recognition between a microRNA-containing silencing complex and a target MRE. The degree of complementary base pairing helps determine whether the associated transcript is subject to post-transcriptional regulation. In infection and immune studies, examining this pairing can clarify how particular transcripts become candidates for translational repression or messenger RNA destabilization.
MREs are often located in the 3′ untranslated region of messenger RNAs, a position that enables microRNA-dependent regulation without changing the encoded protein sequence itself. When a silencing complex recognizes such a site, protein production may decrease through translational repression or the messenger RNA may become less stable. This connects sequence-level interactions with changes in gene expression.
Host and pathogen transcripts can draw on overlapping microRNA regulatory activity, creating competition for recognition by microRNA-containing silencing complexes. That competition may alter which transcripts experience reduced translation or destabilization. In infection research, this provides a framework for examining how viral or other pathogen-associated transcripts influence host gene regulation, immune signaling, inflammation, and replication.
Changes in MRE-mediated regulation can affect the abundance or translation of transcripts involved in immune signaling and inflammation. Because pathogen transcripts may also participate in the same regulatory landscape, these effects can influence the balance between host responses and pathogen replication. Studying the relevant interactions helps connect post-transcriptional control with infection-associated biological outcomes.
Researchers map interactions between microRNAs, silencing complexes, and candidate transcript sequences containing MREs. They then interpret whether those interactions could reduce protein production or destabilize messenger RNA, while considering host and pathogen transcripts together. This approach helps identify regulatory relationships linked to immune signaling, inflammation, viral replication, and broader post-transcriptional control.
MRE interaction maps are useful when researchers need to connect specific microRNA-regulated transcripts with infection or immune-related states. By showing which host or pathogen transcripts may be subject to shared post-transcriptional regulation, the maps can highlight candidate relationships for biomarker development. Their value comes from linking sequence recognition to regulatory patterns relevant to disease-associated biology.
Identifying functional interactions involving MREs can reveal points at which microRNA-mediated regulation affects immune signaling, inflammation, or viral replication. Those relationships provide a basis for designing strategies that modulate post-transcriptional gene control, although the intended effect depends on which host or pathogen transcripts are targeted. The analysis therefore supports both mechanistic research and intervention planning.