We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Heart Map Facilitates Analysis of Cardiac Function

By LabMedica International staff writers
Posted on 04 Dec 2017
Print article
Image: Foreground: Drawing of a cardiac muscle. Background: excerpt from a heart map, an overview of the proteins analyzed for the proteomic map (Photo courtesy of Doll, Kraue, Menzfield, Max Planck Institute of Biochemistry).
Image: Foreground: Drawing of a cardiac muscle. Background: excerpt from a heart map, an overview of the proteins analyzed for the proteomic map (Photo courtesy of Doll, Kraue, Menzfield, Max Planck Institute of Biochemistry).
A team of German heart researchers used high-resolution liquid chromatography–mass spectrometry to generate a spatial and cell-type-resolved proteomic map of the healthy human heart that they have made available as a resource tool for future analyses of normal heart function and disease.

Liquid chromatography–mass spectrometry (LC-MS) is an analytical chemistry technique that combines the physical separation capabilities of liquid chromatography with the mass analysis capabilities of mass spectrometry. Coupled chromatography - MS systems are popular in chemical analysis because the individual capabilities of each technique are enhanced synergistically. While liquid chromatography separates mixtures with multiple components, mass spectrometry provides structural identity of the individual components with high molecular specificity and detection sensitivity. This tandem technique can be used to analyze biochemical, organic, and inorganic compounds commonly found in complex samples.

Investigators at the Max Planck Institute of Biochemistry (Martinsried, Germany) employed this technique to establish the healthy human heart proteome by measuring 16 anatomical regions and three major cardiac cell types. Specifically, they determined the protein profile of cells in all the regions of the heart, such as heart valves, cardiac chambers, and major blood vessels, and they also investigated the protein composition of three different cell types: cardiac fibroblasts, smooth muscle cells, and endothelial cells. Ultimately, from low microgram sample amounts, they quantified over 10,700 proteins.

The investigators reported in the November 13, 2017, online edition of the journal Nature Communications that by combining copy numbers per cell with protein organellar assignments, they were able to build a model of the heart proteome at the subcellular level. Analysis of cardiac fibroblasts identified cellular receptors as potential cell surface markers. Application of the heart map to atrial fibrillation revealed individually distinct mitochondrial dysfunctions.

"Looking at the protein atlas of the human heart, you can see that all healthy hearts work in a very similar manner. We measured similar protein compositions in all the regions with few differences between them," said first author Sophia Doll, graduate student researcher in the department of proteomics and signal transduction at the Max Planck Institute of Biochemistry. "We were also surprised to find that the right and left halves of the heart are similar, despite having quite different functions: the right half pumps oxygen-poor blood to the lungs, while the left half pumps oxygen-rich blood from the lungs to the body."

The heart map is available to researchers at http://maxqb.biochem.mpg.de as a resource to aid analysis of normal and diseased heart function.

Related Links:
Max Planck Institute of Biochemistry

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
ADAMTS-13 Protease Activity Test
ATS-13 Activity Assay

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: The AI predictive model identifies the most potent cancer killing immune cells for use in immunotherapies (Photo courtesy of Shutterstock)

AI Predicts Tumor-Killing Cells with High Accuracy

Cellular immunotherapy involves extracting immune cells from a patient's tumor, potentially enhancing their cancer-fighting capabilities through engineering, and then expanding and reintroducing them into the body.... Read more

Microbiology

view channel
Image: The T-SPOT.TB test is now paired with the Auto-Pure 2400 liquid handling platform for accurate TB testing (Photo courtesy of Shutterstock)

Integrated Solution Ushers New Era of Automated Tuberculosis Testing

Tuberculosis (TB) is responsible for 1.3 million deaths every year, positioning it as one of the top killers globally due to a single infectious agent. In 2022, around 10.6 million people were diagnosed... Read more

Pathology

view channel
Image: The new AI tool can help beat brain tumors (Photo courtesy of Crystal Light/Shutterstock)

New AI Tool Classifies Brain Tumors More Quickly and Accurately

Precision in diagnosing and categorizing tumors is essential for delivering effective treatment to patients. Currently, the gold standard for identifying various types of brain tumors involves DNA methylation-based... Read more