Related Experiment Video
Updated: Jul 19, 2026
07:11
CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
Integrating profiling data: using linear correlation to reveal coregulation of transcript and metabolites.
Ewa Urbanczyk-Wochniak1, Lothar Willmitzer, Alisdair R Fernie
1Department of Molecular Physiology, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|October 13, 2006
Summary
This study integrates transcript and metabolic profiling for a holistic view of biological systems. Combining these approaches offers significant advantages over single-data type analyses in systems biology research.
Area of Science:
- Systems biology
- Molecular biology
- Biochemistry
Background:
- The biological sciences are shifting towards integrated, holistic systems approaches.
- Multiparallel analysis of molecular levels is key to understanding biological systems.
- Previous studies often focused on single molecular levels (transcript, protein, or metabolite).
Purpose of the Study:
- To describe the combined analysis of transcript and metabolic profiling data.
- To highlight the advantages of using parallel transcript and metabolic profiling.
- To advance integrated approaches in biological and medical sciences.
Main Methods:
- Transcript profiling (e.g., gene expression analysis).
- Metabolite profiling (metabolomics).
- Integrated data analysis of transcriptomic and metabolomic datasets.
Main Results:
- Few studies have combined transcript and metabolic profiling to date.
- Combined profiling provides a more comprehensive understanding of biological systems.
- Parallel analysis reveals synergistic insights not obtainable from single approaches.
Conclusions:
- Integrated transcript and metabolic profiling represents a powerful approach in systems biology.
- Combining molecular data enhances the understanding of cellular responses and system perturbations.
- This integrated strategy is crucial for future advances in medical and biological sciences.
Related Concept Videos
02:24Ribosome 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...
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...
01:33Proteomics
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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...
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...
01:15Drug Concentration Versus Time Correlation
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
01:19Regulation of Metabolism
Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
01:23Correlation of Experimental Data
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity, and...
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity, and...
00:53Correlation and Regression
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a negative...