Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

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...

You might also read

Related Articles

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

Sort by

Same author

Tumour Necrosis Factor-α Promotes Pyroptosis in Diabetic Liver Injury via the HMGB1/TLR4/MyD88/NF-κB Pathway.

Journal of cellular and molecular medicine·2026

Same author

A Multi-omics Approach Reveals the Effects of Bio- and Chemical- Pesticides on Rice Yield and Quality under Disease Stress.

Rice (New York, N.Y.)·2025

Same author

Glutathione and neodiosmin feedback sustain plant immunity.

Journal of experimental botany·2022

Same author

Microbial volatile organic compounds 2-heptanol and acetoin control Fusarium crown and root rot of tomato.

Journal of cellular physiology·2022

Same author

Study on the Construction of a Time-Space Four-Dimensional Combined Imaging Model and Moving Target Location Prediction Model.

Sensors (Basel, Switzerland)·2022

Same author

Effect of Coated Diammonium Phosphate Combined with <i>Paecilomyces variotii</i> Extracts on Soil Available Nutrients, Photosynthesis-Related Enzyme Activities, Endogenous Hormones, and Maize Yield.

ACS omega·2022

Search research articles

Related Experiment Video

Updated: Dec 21, 2025

Cell-Free DNA Integrity Analysis in Urine Samples

Cell-Free DNA Integrity Analysis in Urine Samples

Published on: January 5, 2017

Identifying the mRNAs associated with Bladder cancer recurrence.

Huifeng Cao¹, Liang Cheng¹, Junjuan Yu¹

¹Department of Urology, First Affiliated Hospital of Jiamusi University, Jiamusi City, Heilongjiang, China.

Cancer Biomarkers : Section a of Disease Markers

|May 12, 2020

Summary

This study identified key genes, COL4A1, COL1A2, and COL5A1, associated with bladder cancer (BC) recurrence. These findings may improve understanding and prediction of BC recurrence risk.

Keywords:

Biomarker bladder cancer mRNA recurrence weighed gene co-expression network analysis

More Related Videos

An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment

An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment

Published on: July 28, 2012

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Published on: March 29, 2019

Related Experiment Videos

Last Updated: Dec 21, 2025

Cell-Free DNA Integrity Analysis in Urine Samples

Cell-Free DNA Integrity Analysis in Urine Samples

Published on: January 5, 2017

An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment

An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment

Published on: July 28, 2012

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Published on: March 29, 2019

Area of Science:

Oncology
Genomics
Bioinformatics

Background:

Bladder cancer (BC) recurrence poses a significant clinical challenge.
Identifying molecular markers for BC recurrence is crucial for improved patient management and prognosis.

Purpose of the Study:

To identify messenger RNAs (mRNAs) significantly associated with bladder cancer recurrence.
To explore the molecular mechanisms underlying BC recurrence through gene expression profiling and network analysis.

Main Methods:

Utilized Gene Expression Omnibus (GEO) datasets (GSE31684, GSE13507) for differential gene expression analysis.
Applied Weighted Gene Co-expression Network Analysis (WGCNA) and Protein-Protein Interaction (PPI) network analysis to identify key modules and genes.
Performed Gene Ontology (GO), KEGG pathway enrichment, and Comparative Toxicogenomics Database (CTD) analysis for functional annotation.
Employed univariate and multivariate Cox regression analyses to assess the prognostic significance of identified genes.

Main Results:

Identified 692 intersection differentially expressed genes (DEGs) across two independent datasets.
WGCNA highlighted 7 stable modules containing 169 intersection DEGs.
PPI network analysis revealed 81 proteins with 149 interactions, enriched in Focal adhesion and ECM-receptor interaction pathways.
Univariate Cox analysis identified COL4A1, COL1A2, and COL5A1 as significantly associated with prognosis; multivariate analysis confirmed pathologic_N as an independent prognostic factor.

Conclusions:

COL4A1, COL1A2, and COL5A1 are potential molecular markers associated with bladder cancer recurrence.
These genes and pathways may play a role in the biological processes driving BC recurrence.
Further validation is warranted to confirm their clinical utility in predicting BC recurrence.