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RNA-seq

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...

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Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

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Differentially Expressed mRNA in Streptozotocin-Induced Diabetic Bladder Using RNA Sequencing Analysis.

Jae Heon Kim¹, Hee Jo Yang², Hong J Lee^3,4

¹Department of Urology, Soonchunhyang University Seoul Hospital, Soonchunhyang University School of Medicine, Seoul, Korea.

International Neurourology Journal

|October 6, 2023

Summary

Diabetic cystopathy involves altered bladder mRNA expression, impacting visceral function. Identifying these gene changes offers potential diagnostic and therapeutic targets for diabetes-related bladder dysfunction.

Keywords:

Bladder Diabetes mellitus RNA, Messenger

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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

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Published on: June 24, 2021

Area of Science:

Urology
Molecular Biology
Diabetology

Background:

Diabetic cystopathy (DC) is a common complication of diabetes mellitus (DM).
Understanding the molecular mechanisms of DC is crucial for developing effective treatments.

Purpose of the Study:

To identify key molecular elements governing the pathogenesis of diabetic cystopathy.
To explore underlying molecular pathways through differential mRNA expression in bladder tissues.

Main Methods:

Diabetes mellitus (DM) was induced in male Sprague-Dawley rats using streptozotocin (STZ).
Bladder tissues were analyzed using mRNA sequencing.
Differential gene expression was identified (fold change ≥ 1.5, P < 0.05).
Gene Ontology, KEGG pathway, and protein-protein interaction analyses were performed.

Main Results:

Diabetic rats showed significantly increased residual urine volume compared to controls.
mRNA sequencing revealed 16 upregulated and 4 downregulated genes in STZ-induced diabetic rat bladders.
Key upregulated genes included PTHLH, TNFAIP6, PRC1, and MAPK10.
Protein-protein interaction analysis identified PDLIM3, PDLIM7, ITGB1, and ACTG2 as core network nodes.

Conclusions:

Significant changes in mRNA expression and associated biological pathways contribute to bladder dysfunction in DM.
The identified mRNA profiles offer potential diagnostic and therapeutic targets for diabetic cystopathy.