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

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.6K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.6K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

3.2K
3.2K
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

11.5K
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,...
11.5K
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

645
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
645
RNA-seq03:21

RNA-seq

11.4K
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...
11.4K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.5K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Transcriptomic Analysis Suggests Overlapping Molecular Pathogenesis in JIA-Associated and ANA-Positive Uveitis.

Biomolecules·2026
Same author

Immune cell profiling reveals expanded stem cell-like memory T cells in anti-GAD65-associated neurological syndromes.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Lateral Atrial Expression Patterns Provide Insights into Local Transcription Disequilibrium Contributing to Disease Susceptibility.

Circulation. Genomic and precision medicine·2025
Same author

PITX2 deficiency leads to atrial mitochondrial dysfunction.

Cardiovascular research·2024
Same author

A meta-analysis of genome-wide studies of resilience in the German population.

Molecular psychiatry·2024
Same author

Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction.

Nature genetics·2024
Same journal

An Optimized RT-qPCR Protocol for Comprehensive Analysis of microRNAs and mRNAs in <i>Mus musculus</i> Brain Tissues.

Non-coding RNA·2026
Same journal

Investigation of Long Non-Coding RNAs <i>H19</i> rs3741219, <i>MEG3</i> rs7158663, <i>POLR2E</i> rs3787016, and <i>ANRIL</i> rs10757274 with Breast Cancer Susceptibility and Clinicopathological Characteristics in a Mexican Population.

Non-coding RNA·2026
Same journal

Comprehensive lincRNA Transcriptome in Acute Myeloid Leukemia: Integrating Known and Newly Identified lincRNAs Across Pediatric and Adult Cohorts.

Non-coding RNA·2026
Same journal

Exploratory Machine Learning Analysis of circRNA-Derived Molecular Features in Autism Spectrum Disorder.

Non-coding RNA·2026
Same journal

Urinary Exosomal microRNAs as a Novel Approach to Study People with Multiple Sclerosis and Severe Gait Disability: A Preliminary Observation.

Non-coding RNA·2026
Same journal

Hnf1aos1 as a Metabolic Coordinator of Hepatic Lipid Homeostasis and Feedback Control.

Non-coding RNA·2026
See all related articles

Related Experiment Video

Updated: Dec 10, 2025

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.6K

Non-Coding RNA Databases in Cardiovascular Research.

Deepak Balamurali1, Monika Stoll1,2,3

  • 1Genetic Epidemiology and Statistical Genetics, Department of Biochemistry, CARIM School for Cardiovascular Diseases, Maastricht University, 6229 ER Maastricht, The Netherlands.

Non-Coding RNA
|September 5, 2020
PubMed
Summary
This summary is machine-generated.

Non-coding RNAs (ncRNAs) are crucial in cardiovascular diseases (CVDs). This study compiles ncRNA databases, offering valuable resources for understanding CVDs and identifying diagnostic biomarkers.

Keywords:
cardiovascular diseasesdatabasencRNAnon-coding

More Related Videos

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

7.7K
RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

26.0K

Related Experiment Videos

Last Updated: Dec 10, 2025

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.6K
Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

7.7K
RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

26.0K

Area of Science:

  • Genomics
  • Molecular Biology
  • Cardiovascular Research

Background:

  • Cardiovascular diseases (CVDs) are a leading global cause of mortality, stemming from genetic and environmental factors.
  • Non-coding RNAs (ncRNAs), transcribed but not translated into proteins, represent a vast, under-explored portion of the human genome.
  • Specific ncRNAs, such as long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), are increasingly recognized for their roles in disease progression and as potential biomarkers.

Purpose of the Study:

  • To provide a comprehensive overview of existing non-coding RNA databases.
  • To highlight resources relevant for cardiovascular research.
  • To facilitate the identification and utilization of ncRNAs as diagnostic and prognostic markers for CVDs.

Main Methods:

  • Systematic review and compilation of publicly available ncRNA databases.
  • Focus on databases utilizing high-throughput sequencing data.
  • Inclusion of databases covering annotation, expression, structure, and interactions of ncRNAs.

Main Results:

  • Identification of numerous ncRNA databases.
  • Categorization of databases based on research facets (annotation, expression, etc.).
  • Emphasis on the utility of these databases for cardiovascular research.

Conclusions:

  • ncRNA databases are essential resources for advancing cardiovascular research.
  • These databases can aid in discovering novel ncRNA biomarkers for CVD diagnosis and prognosis.
  • Further exploration of ncRNA databases will enhance our understanding of CVD pathogenesis.