Related Experiment Video

Updated: Jan 23, 2026

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

26.2K

Long non-coding and coding RNA profiling using strand-specific RNA-seq in human hypertrophic cardiomyopathy

Xuanyu Liu1, Yi Ma1, Kunlun Yin1

  • 1Center of Laboratory Medicine, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.

Scientific Data
|June 15, 2019
PubMed

Insights

Hypertrophic cardiomyopathy (HCM), a common genetic heart condition, has unknown causes. This study provides a new dataset of RNA sequencing from HCM patients to help researchers understand the disease better.

Area of Science:

  • Cardiovascular Biology
  • Genetics
  • Molecular Biology

Background:

  • Hypertrophic cardiomyopathy (HCM) is a prevalent inherited cardiac disorder.
  • The molecular mechanisms and regulatory networks driving HCM pathogenesis are not well understood.

Purpose of the Study:

  • To generate a comprehensive RNA sequencing dataset for hypertrophic cardiomyopathy research.
  • To profile both coding and long non-coding RNA (lncRNA) expression in HCM myocardial tissues.

Main Methods:

  • Strand-specific RNA sequencing (RNA-seq) was performed on myocardial tissue samples.
  • Samples were obtained from 28 patients diagnosed with HCM and 9 healthy control donors.
  • Analysis included profiling of both messenger RNA (mRNA) and lncRNA expression.

Main Results:

  • A detailed dataset of coding and lncRNA expression profiles in HCM was generated.
  • This resource allows for the identification of dysregulated genes in HCM compared to normal heart tissue.
  • The data provides a foundation for exploring novel therapeutic targets.

Conclusions:

  • The presented RNA-seq dataset is a valuable resource for investigating the genetic and molecular basis of HCM.
  • Further analysis of this data can elucidate signalling pathways and regulatory networks involved in HCM.
  • This work facilitates a deeper understanding of HCM pathogenesis and may lead to new diagnostic or therapeutic strategies.

More Related Videos

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

7.8K
Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification10:39

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Published on: November 28, 2016

11.8K

Related Concept Videos

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...
9.8K
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...
11.9K
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
440
RNA Splicing01:32

RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
60.4K
Ribosomal RNA Synthesis02:53

Ribosomal RNA Synthesis

Ribosome synthesis is a highly complex and coordinated process involving more than 200 assembly factors. The synthesis and processing of ribosomal components occurs not only in the nucleolus but also in the nucleoplasm and the cytoplasm of eukaryotic cells.
Ribosome biogenesis begins with the synthesis of 5S and 45S pre-rRNAs by distinct RNA polymerases. The primary transcripts are extensively processed and modified before they are bound and folded by ribosomal proteins and assembly factors,...
14.7K
RNA Stability01:53

RNA Stability

Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
35.7K