Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Nucleic Acid Structure01:25

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA has a double-helix structure. The...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
Atomic Nuclei: Magnetic Resonance01:05

Atomic Nuclei: Magnetic Resonance

The number of nuclear spins aligned in the lower energy state is slightly greater than those in the higher energy state. In the presence of an external magnetic field, as the spins precess at the Larmor frequency, the excess population results in a net magnetization oriented along the z axis. When a pulse or a short burst of radio waves at the Larmor frequency is applied along the x axis, the coupling of frequencies causes resonance and flips the nuclear spins of the excess population from the...
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network.

Neural networks : the official journal of the International Neural Network Society·2012
Same author

A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network.

Neural networks : the official journal of the International Neural Network Society·2012
Same author

Metacognitive learning in a fully complex-valued radial basis function neural network.

Neural computation·2011
Same author

Comparison of sensory properties of hamburgers cooked by conventional and carcinogen reducing `safe grill' equipment.

Meat science·2011
Same author

A fully complex-valued radial basis function network and its learning algorithm.

International journal of neural systems·2009
Same author

Online sequential fuzzy extreme learning machine for function approximation and classification problems.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2009

Related Experiment Video

Updated: Jul 7, 2026

AQRNA-seq for Quantifying Small RNAs
05:12

AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN).

D Jianping, N Sundararajan, P Saratchandran

    IEEE Transactions on Neural Networks
    |February 5, 2008
    PubMed
    Summary
    This summary is machine-generated.

    A new minimal resource allocation network (MRAN) shows superior performance for equalizing nonlinear magnetic storage channels. This advanced neural network achieves higher signal-to-distortion ratios compared to existing methods.

    More Related Videos

    Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
    14:49

    Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

    Published on: October 27, 2011

    Use of Alu Element Containing Minigenes to Analyze Circular RNAs
    13:10

    Use of Alu Element Containing Minigenes to Analyze Circular RNAs

    Published on: March 10, 2020

    Related Experiment Videos

    Last Updated: Jul 7, 2026

    AQRNA-seq for Quantifying Small RNAs
    05:12

    AQRNA-seq for Quantifying Small RNAs

    Published on: February 2, 2024

    Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
    14:49

    Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

    Published on: October 27, 2011

    Use of Alu Element Containing Minigenes to Analyze Circular RNAs
    13:10

    Use of Alu Element Containing Minigenes to Analyze Circular RNAs

    Published on: March 10, 2020

    Area of Science:

    • Artificial Intelligence
    • Signal Processing
    • Data Storage Technologies

    Background:

    • Investigates the application of the minimal resource allocation network (MRAN), a novel minimal radial basis function neural network, for channel equalization in magnetic data storage.
    • Focuses on highly nonlinear magnetic channel models to assess equalizer performance.

    Discussion:

    • Compares the performance of the MRAN equalizer against the maximum signal-to-distortion ratio (MSDR) equalizer, a nonlinear neural equalizer developed by Nair and Moon (1997).
    • Highlights that the MSDR equalizer utilizes a specialized neural architecture with theoretically determined parameters.

    Key Insights:

    • Simulation results demonstrate that the MRAN equalizer achieves superior performance over the MSDR equalizer.
    • The MRAN equalizer yields higher signal-to-distortion ratios, indicating improved data recovery in nonlinear magnetic channels.

    Outlook:

    • Suggests the MRAN as a promising technique for enhancing data integrity in advanced magnetic storage systems.
    • Paves the way for further research into adaptive neural network equalization for challenging communication channels.