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

8.6K
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...
8.6K

You might also read

Related Articles

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

Sort by
Same author

Hyaluronic acid targeted and pH-responsive nanocarriers based on hollow mesoporous silica nanoparticles for chemo-photodynamic combination therapy.

Colloids and surfaces. B, Biointerfaces·2020
Same author

Tumor phase recognition using cone-beam computed tomography projections and external surrogate information.

Medical physics·2020
Same author

Realization of a time-correlated photon counting technique for fluorescence analysis.

Biomedical optics express·2020
Same author

Ultrasonographic Diagnosis of Lipomatosis of Nerve: A Review of Ultrasonographic Finding for 8 Cases.

World neurosurgery·2020
Same author

Is dietary fat associated with the risk of age-related macular degeneration? Protocol for a systematic review and meta-analysis.

Medicine·2020
Same author

Comparing the Prevalence of Poor Sleep and Stress Metrics in Basic versus Advanced Life Support Emergency Medical Services Personnel.

Prehospital emergency care·2020
Same journal

RNA Modifications as Drug Targets: Unlocking the Therapeutic Potential of the Epitranscriptome.

Current genomics·2026
Same journal

AgriBioNER: A Named Entity Recognition Tool for Identification of ncRNA and Diseases in Agricultural Literature.

Current genomics·2026
Same journal

Understanding the Evolutionary Adaptations and the Associated Functional Dynamics of Diatom <i>Cyclotella Cryptica</i>: A Chloroplast Genome-wide Comparative Study.

Current genomics·2026
Same journal

The Role of Collagen Genetic Variability in Degenerative Disc Disease and Related Conditions.

Current genomics·2026
Same journal

Genomics-Driven Immunotherapy: Advancing Cancer Treatment through Personalized Approaches.

Current genomics·2026
Same journal

Innovative Applications and Challenges of Isothermal Amplification Technology in miRNA Detection.

Current genomics·2026
See all related articles

Related Experiment Video

Updated: Jul 11, 2025

Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion
07:54

Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion

Published on: August 29, 2018

8.6K

Long Noncoding RNA and mRNA Expression Profiles in Rats with LPS-induced Myocardial Dysfunction.

Ye-Chen Han1, Zhu-Jun Shen1, Ruo-Lan Xiang2

  • 1Department of Cardiology, Peking Union Medical College Hospital, No. 1 North Street, Dongdan, Beijing, 100032, China.

Current Genomics
|November 3, 2023
PubMed
Summary
This summary is machine-generated.

This study reveals that long noncoding RNAs (lncRNAs) interact with messenger RNAs (mRNAs) to influence sepsis-induced myocardial dysfunction. These findings highlight potential therapeutic targets for this critical condition.

Keywords:
Long noncoding RNAsheartmRNAmicroarraynetworksepsis

More Related Videos

Tissue-specific miRNA Expression Profiling in Mouse Heart Sections Using In Situ Hybridization
08:22

Tissue-specific miRNA Expression Profiling in Mouse Heart Sections Using In Situ Hybridization

Published on: September 15, 2018

8.2K
Histological Quantification of Chronic Myocardial Infarct in Rats
09:45

Histological Quantification of Chronic Myocardial Infarct in Rats

Published on: December 11, 2016

14.6K

Related Experiment Videos

Last Updated: Jul 11, 2025

Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion
07:54

Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion

Published on: August 29, 2018

8.6K
Tissue-specific miRNA Expression Profiling in Mouse Heart Sections Using In Situ Hybridization
08:22

Tissue-specific miRNA Expression Profiling in Mouse Heart Sections Using In Situ Hybridization

Published on: September 15, 2018

8.2K
Histological Quantification of Chronic Myocardial Infarct in Rats
09:45

Histological Quantification of Chronic Myocardial Infarct in Rats

Published on: December 11, 2016

14.6K

Area of Science:

  • Molecular Biology
  • Cardiology
  • Genomics

Background:

  • Sepsis is a dangerous systemic inflammatory response.
  • Long noncoding RNAs (lncRNAs) contribute to sepsis development.
  • The specific roles of lncRNAs in sepsis-induced heart dysfunction remain unclear.

Purpose of the Study:

  • To investigate the regulatory mechanisms of lncRNAs in sepsis-induced myocardial dysfunction.
  • To identify key lncRNAs and their interactions in the context of sepsis-related heart problems.

Main Methods:

  • Microarray analysis of lncRNA and mRNA expression profiles.
  • Bioinformatic analyses including Gene Ontology, KEGG pathway analysis, and protein-protein interaction networks.
  • Construction of coexpression and competing endogenous RNA (ceRNA) networks.
  • Validation using a lipopolysaccharide-induced sepsis rat model and RT-qPCR.

Main Results:

  • Identified 387 differentially expressed lncRNAs and 1,952 differentially expressed mRNAs in the left ventricle of septic rats.
  • KEGG analysis revealed enrichment of upregulated genes in "complement and coagulation cascade" and "immune-related biological processes".
  • Generated a ceRNA network, identifying eight lncRNAs associated with "calcium ion binding" processes potentially involved in myocardial dysfunction.

Conclusions:

  • Crosstalk between lncRNAs and mRNAs plays a significant role in the pathogenesis of sepsis-induced myocardial dysfunction.
  • Identified specific lncRNAs that may serve as novel biomarkers or therapeutic targets for sepsis-related heart complications.