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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Related Experiment Video

Updated: Jul 19, 2026

Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution
10:03

Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution

Published on: May 12, 2023

Genome resources and comparative analysis tools for cardiovascular research.

George E Liu1, Mark D Adams

  • 1Bovine Functional Genomics Laboratory, Animal and Natural Resources Institute, US Department of Agriculture-Agriculture Research Service, Beltsville, MD, USA.

Methods in Molecular Medicine
|October 31, 2006
PubMed
Summary

Understanding cardiovascular diseases involves studying genetic and environmental factors. Genomic data and bioinformatics tools provide new ways to research these complex conditions, aiding in gene discovery and understanding disease susceptibility.

Related Experiment Videos

Last Updated: Jul 19, 2026

Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution
10:03

Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution

Published on: May 12, 2023

Area of Science:

  • Genomics and Bioinformatics
  • Cardiovascular Research

Background:

  • Cardiovascular diseases arise from complex interactions between genetic predispositions and environmental influences.
  • Individual susceptibility to these conditions is multifactorial.

Purpose of the Study:

  • To explore novel approaches for studying cardiovascular diseases using genomic data and bioinformatics.
  • To highlight the application of genome resources and bioinformatics tools in cardiovascular research.

Main Methods:

  • Utilizing genomic data from genome projects.
  • Employing bioinformatics tools for data analysis.
  • Gene mapping through genome variation analysis, including single-nucleotide polymorphisms (SNPs).
  • Applying comparative genomics within and between species.

Main Results:

  • Identification of major genome resources relevant to cardiovascular research.
  • Demonstration of bioinformatics tools applicable to cardiovascular disease studies.
  • Illustration of gene mapping and comparative genomics techniques.

Conclusions:

  • Genomic data and bioinformatics offer powerful new avenues for investigating cardiovascular diseases.
  • These tools facilitate the study of both rare single-gene and complex multigenic cardiovascular conditions.
  • The integration of genomic resources and bioinformatics is crucial for advancing cardiovascular research.