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Related Concept Videos

Genomics02:02

Genomics

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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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Combination Therapies and Personalized Medicine02:50

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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Proteomics01:33

Proteomics

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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...
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Precision medicine journey through omics approach.

Mandana Hasanzad1,2, Negar Sarhangi2, Sima Ehsani Chimeh3

  • 1Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.

Journal of Diabetes and Metabolic Disorders
|June 8, 2022
PubMed
Summary

Precision medicine requires integrating diverse omics data (genomics, transcriptomics, proteomics, metabolomics, pharmacogenomics) to understand disease heterogeneity. This data integration, viewed as a domino effect, enables personalized prediction, prevention, and treatment strategies.

Keywords:
OmicsPersonalized medicinePrecision medicine

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Area of Science:

  • Biomedical Sciences
  • Genetics
  • Systems Biology

Background:

  • Understanding complex disease heterogeneity is crucial for advancing precision medicine.
  • Current strategies require tailored approaches based on individual omics data for personalized disease management.
  • The correlation and interaction between different omics data types are key to a comprehensive understanding of disease pathophysiology.

Purpose of the Study:

  • To review the potential of various omics data types in precision medicine.
  • To summarize the impact of omics data on personalized prediction, prevention, and treatment.
  • To introduce and describe the 'domino effect' hypothesis for understanding disease pathophysiology through omics data integration.

Main Methods:

  • Comprehensive literature review of omics data potentials in precision medicine.
  • Analysis of the role of genomics, transcriptomics, proteomics, metabolomics, and pharmacogenomics.
  • Exploration of the 'domino effect' concept in disease pathophysiology.

Main Results:

  • Each omics data type provides unique information relevant to disease.
  • Integration of multi-omics data, through the 'domino effect' hypothesis, can elucidate causative disease changes.
  • Machine learning is essential for integrating diverse omics data types.

Conclusions:

  • Omics data holds significant applicability in precision medicine.
  • Integrating multi-omics data is vital for advancing personalized healthcare.
  • The 'domino effect' provides a framework for understanding disease mechanisms via integrated omics analysis.