Multi OMICS analysis
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21 hours ago
Akash D ▴ 60

I want to understand the importance of integrating OMICS (transcriptomics, proteomics, metabolomics) a.k.a multi OMICS analysis in simple words.

What we miss when we analyse OMICS individually? and what we gain when the integration is made?

~SKY

Multi-variate Multi-OMICS • 129 views
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12 hours ago
tothepoint ▴ 930

The importance of integrating multi-omics approaches—such as transcriptomics, proteomics, and metabolomics—can be explained with a simple example.

Consider the 20 standard amino acids represented by the symbols "ACDEFGHIKLMNPQRSTVWY". When analyzed individually, each amino acid offers unique insights into its specific properties and functions. However, it’s only when we examine them collectively that we grasp their collaborative role in forming the building blocks of life, such as proteins, and their complex interactions within biological systems.

Similarly, studying individual omics like metabolites in metabolomics provides important information but often in isolation.

For eg, examining metabolites alone might reveal their levels in an organism but not necessarily how they interact with proteins to affect biological functions. When we integrate metabolomics with other omics, such as proteomics or transcriptomics, we gain a more comprehensive understanding. This integration allows us to see not just the presence of specific metabolites, but also how they influence and are regulated by the expression of genes and the presence of proteins.

In essence, while single-omics analysis can identify pieces of a complex puzzle, multi-omics integration helps us understand how these pieces fit together. This holistic view is crucial for uncovering the complex networks of biological processes, leading to more effective disease diagnostics, targeted therapies, and personalized medicine strategies.

By integrating multiple omics layers, we answer fundamental questions about biological mechanisms—what happens, how it happens, and why it happens—providing a more complete picture of biological systems.

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