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Related Concept Videos

RNA-seq03:21

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 microarray-based...
lncRNA - Long Non-coding RNAs02:39

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 (lncRNA)...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...
piRNA - Piwi-interacting RNAs02:57

piRNA - Piwi-interacting RNAs

PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...
Experimental RNAi02:15

Experimental RNAi

RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
Alternative RNA Splicing02:18

Alternative RNA Splicing

Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...

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  3. Non-coding Rnas In Peripheral Vascular Diseases - A Snrna Study.
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  3. Non-coding Rnas In Peripheral Vascular Diseases - A Snrna Study.

Related Experiment Video

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells
18:30

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

Published on: February 13, 2013

Non-coding RNAs in peripheral vascular diseases - a snRNA study.

Daniel P Zalewski1, Marcin Feldo2, Andrzej Stępniewski3

  • 1Chair and Department of Biology and Genetics, Medical University of Lublin, 4a Chodźki St., Lublin, 20-093, Poland. daniel.zalewski@umlub.pl.

Journal of Applied Genetics
|June 19, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Small nuclear RNAs (snRNAs) show altered expression in patients with lower extremity artery disease (LEAD) and chronic venous disease (CVD). These snRNAs may serve as novel biomarkers for early diagnosis and understanding vascular disease mechanisms.

Keywords:
Abdominal aortic aneurysmChronic venous diseaseLower extremity artery diseasemiRNAsnRNA

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

Related Experiment Videos

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells
18:30

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

Published on: February 13, 2013

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

Area of Science:

  • Vascular Biology
  • Molecular Diagnostics
  • RNA Biology

Background:

  • Vascular conditions like lower extremity artery disease (LEAD), abdominal aortic aneurysm (AAA), and chronic venous disease (CVD) are underdiagnosed and pose significant public health challenges.
  • Novel molecular biomarkers are essential for early diagnosis, risk stratification, understanding disease mechanisms, and developing targeted therapies for vascular diseases.

Purpose of the Study:

  • To investigate alterations in small nuclear RNAs (snRNAs) within peripheral blood mononuclear cells (PBMCs) of patients diagnosed with LEAD, AAA, and CVD.
  • To identify differentially expressed microRNAs (miRNAs) associated with observed snRNA dysregulation.

Main Methods:

  • Analysis of snRNA expression profiles using snRNA-sequencing (snRNA-seq) data and the DESeq2 package.
  • Utilizing miRNA-sequencing (miRNA-seq) data to identify miRNAs linked to snRNA dysregulation.
  • In silico confirmation of miRNA-snRNA interactions using the IntaRNA platform.

    • Main Results:

    • Four dysregulated snRNAs (RNU6-4P, RNU6-18P, RNU6-36P, RNU2-48P) were identified in patients with LEAD.
    • Two dysregulated snRNAs (RNVU1-19, RNU1-146P) were identified in patients with CVD.
    • Three miRNA-snRNA interactions involving differentially expressed miRNAs were confirmed in silico. Genetic variants within dysregulated snRNAs suggest functional links to platelet function, blood pressure, and smoking.

    Conclusions:

    • Small nuclear RNAs (snRNAs) show potential as novel biomarkers for vascular diseases like LEAD and CVD.
    • The findings provide insights into the potential role of snRNAs in the pathophysiology of vascular conditions.
    • Further research into snRNA's role could advance early detection and therapeutic strategies for vascular diseases.