Related Experiment Video
Updated: Aug 4, 2026

Quantitative Analysis of Chromatin Proteomes in Disease
Published on: December 28, 2012
Genomics, proteomics and bioinformatics of human heart failure
C G Dos Remedios1, C C Liew, P D Allen
1Muscle Research Unit, Institute for Biomedical Research, University of Sydney, Sydney 2006, Australia. crisdos@anatomy.usyd.edu.au
Insights
Investigating end-stage heart failure requires combining genomics and proteomics. This study uses samples from over 250 human hearts to overcome limitations of individual methods, aiming for molecular insights into heart failure.
Area of Science:
- Cardiovascular Biology
- Molecular Medicine
- Genomics and Proteomics
Background:
- End-stage heart failure involves complex genetic, lifestyle, and pharmacological factors.
- Genomic analysis of the myocardium can be performed using gene arrays, each with limitations.
- Myocardial proteomics, initially using 2D gel electrophoresis, struggles with low-abundance proteins.
Purpose of the Study:
- To unravel the molecular complexities of end-stage human heart failure.
- To overcome the inherent difficulties of individual genomic and proteomic analytical approaches.
- To provide comprehensive molecular descriptions of various terminal heart failure conditions.
Main Methods:
- Utilizing a combined approach of genomics and proteomics on human heart failure samples.
- Employing gene arrays (cDNA- or oligonucleotide-based) for genomic analysis.
- Applying advanced mass spectrometry and protein arrays for comprehensive proteomic analysis.
- Leveraging bioinformatics for large-scale data interpretation.
Main Results:
- Collected over 200 hearts from heart transplant patients and 50 non-failing hearts.
- Established a multi-disciplinary approach integrating genomics, proteomics, and bioinformatics.
- Aimed to reduce or eliminate analytical challenges through combined expertise.
Conclusions:
- Combining multiple investigative approaches, including genomics and proteomics, is crucial for understanding heart failure.
- A large sample size of human hearts is essential for robust molecular analysis.
- Bioinformatics is vital for interpreting complex molecular data in heart failure research.
Abstract:
Unraveling the molecular complexities of human heart failure, particularly end-stage failure, can be achieved by combining multiple investigative approaches. There are several parts to the problem. Each patient is the product of a complex set of genetic variations, different degrees of influence of diets and lifestyles, and usually heart transplantation patients are treated with multiple drugs. The genomic status of the myocardium of any one transplant patient can be analysed using gene arrays (cDNA- or oligonucleotide-based) each with its own strengths and weaknesses. The proteins expressed by these failing hearts (myocardial proteomics) were first investigated over a decade ago using two-dimensional polyacrylamide gel electrophoresis (2DGE) which promised to resolve several thousand proteins in a single sample of failing heart. However, while 2DGE is very successful for the abundant and moderately expressed proteins, it struggles to identify proteins expressed at low levels. Highly focused first dimension separations combined with recent advances in mass spectrometry now provide new hope for solving this difficulty. Protein arrays are a more recent form of proteomics that hold great promise but, like the above methods, they have their own drawbacks. Our approach to solving the problems inherent in the genomics and proteomics of heart failure is to provide experts in each analytical method with a sample from the same human failing heart. This requires a sufficiently large number of samples from a sufficiently large pool of heart transplant patients as well as a large pool of non-diseased, non-failing human hearts. We have collected more than 200 hearts from patients undergoing heart transplantations and a further 50 non-failing hearts. By combining our expertise we expect to reduce and possibly eliminate the inherent difficulties of each analytical approach. Finally, we recognise the need for bioinformatics to make sense of the large quantities of data that will flow from our laboratories. Thus, we plan to provide meaningful molecular descriptions of a number of different conditions that result in terminal heart failure.
More Related Videos
07:54Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion
Published on: August 29, 2018
08:51Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
Published on: September 20, 2024
Related Concept Videos
Genomics
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Proteomics
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Pharmacogenomics: Identification of New Drug Targets
Heart Failure II: Pathophysiology