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

You might also read

Related Articles

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

Sort by
Same author

Naturally derived injectable hydrogels with ROS-scavenging property to protect transplanted stem cell bioactivity for osteoarthritic cartilage repair.

Frontiers in bioengineering and biotechnology·2023
Same author

Ultrastructural study on dynamics of lipid bodies and plastids during ripening of chili pepper fruits.

Micron (Oxford, England : 1993)·2013
Same author

Resveratrol protects against age-associated infertility in mice.

Human reproduction (Oxford, England)·2013
Same author

Receptor for advanced glycation end products: a new theraputic target for chronic obstructive pulmonary disease?

Archives of medical research·2013
Same author

Decreased plasma IL-35 levels are related to the left ventricular ejection fraction in coronary artery diseases.

PloS one·2013
Same author

Telomeres and human reproduction.

Fertility and sterility·2013

Related Experiment Video

Updated: Nov 9, 2025

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis
11:00

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis

Published on: October 14, 2025

638

Biomarkers mining for spinal cord injury based on integrated multi-transcriptome expression profile data.

Chongcheng Gong1, Lin Liu1, Yang Shen2

  • 1Emergency Trauma Surgery, Shanghai East Hospital of Tongji University, No. 150, Jimo Road, Shanghai, 200120, China.

Journal of Orthopaedic Surgery and Research
|April 17, 2021
PubMed
Summary

This study identified 8 key messenger RNAs (mRNAs) and a long non-coding RNA (lncRNA) as potential biomarkers for spinal cord injury (SCI). These molecules form a competing endogenous RNA (ceRNA) network that may help diagnose and understand SCI progression.

Keywords:
Competing endogenous RNASpinal cord injurylncRNAmRNAmiRNA

More Related Videos

A Neurosphere Assay to Evaluate Endogenous Neural Stem Cell Activation in a Mouse Model of Minimal Spinal Cord Injury
09:08

A Neurosphere Assay to Evaluate Endogenous Neural Stem Cell Activation in a Mouse Model of Minimal Spinal Cord Injury

Published on: September 13, 2018

10.1K
Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury
13:32

Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury

Published on: April 10, 2013

21.5K

Related Experiment Videos

Last Updated: Nov 9, 2025

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis
11:00

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis

Published on: October 14, 2025

638
A Neurosphere Assay to Evaluate Endogenous Neural Stem Cell Activation in a Mouse Model of Minimal Spinal Cord Injury
09:08

A Neurosphere Assay to Evaluate Endogenous Neural Stem Cell Activation in a Mouse Model of Minimal Spinal Cord Injury

Published on: September 13, 2018

10.1K
Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury
13:32

Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury

Published on: April 10, 2013

21.5K

Area of Science:

  • Biomolecular networks
  • Genomics
  • Spinal cord injury research

Background:

  • Spinal cord injury (SCI) lacks sufficient biomarkers for diagnosis and prognosis.
  • Competing endogenous RNA (ceRNA) networks offer a novel approach to identify regulatory relationships in diseases.

Purpose of the Study:

  • To construct a ceRNA network for spinal cord injury (SCI).
  • To identify potential mRNA, lncRNA, and miRNA biomarkers associated with SCI.

Main Methods:

  • Downloaded and analyzed transcriptome expression data for SCI from the GEO database (GSE45006, GSE20907).
  • Identified differentially expressed RNAs (DERs) and performed functional enrichment analyses.
  • Constructed a SCI-specific ceRNA regulatory network and performed Principal Component Analysis (PCA).

Main Results:

  • Identified 429 consistently differentially expressed RNAs between SCI and control groups.
  • Constructed a ceRNA network involving 8 mRNAs (IFNGR1, STAT2, CYBB, NFATC1, FCGR2B, HMOX1, TLR4, HK2), 1 lncRNA (RGD1564534), and 1 miRNA (miR-29b-5p).
  • PCA confirmed significant distinction between pre- and post-injury samples based on ceRNA network genes; identified osteoclast differentiation and HIF-1 signaling pathways.

Conclusions:

  • Identified 8 key mRNAs and 1 lncRNA as potential biomarkers for spinal cord injury (SCI).
  • RGD1564534 may act as a ceRNA by interacting with miR-29b-5p to regulate SCI-related mRNA expression.
  • The identified genes represent promising candidates for SCI biomarker development.