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Updated: Aug 1, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

Multi-Omics Profiling for Health.

Mohan Babu¹, Michael Snyder¹

¹Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.

Molecular & Cellular Proteomics : MCP

|April 29, 2023

Summary

This summary is machine-generated.

Multi-omics deep phenotyping integrates biological data for personalized medicine, moving beyond one-size-fits-all healthcare. This approach enhances disease prevention and treatment across various health conditions.

Keywords:

COVID-19 data integration diet electronic health record exposome genomics gut microbiome lipidomics longitudinal metabolomics omics precision health proteomics transcriptomics wearables

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Area of Science:

Biomedical Science
Genomics
Personalized Medicine

Background:

Rising chronic disease burden necessitates innovative healthcare strategies.
Current reactive medical care is costly and often ineffective due to a "one-size-fits-all" approach.
Individual variability in genetics, environment, and lifestyle impacts health outcomes.

Purpose of the Study:

To review current and emerging multi-omics modalities for precision health.
To discuss applications of multi-omics in diverse health areas.
To explore integration with electronic health records and clinical imaging.

Main Methods:

Multi-omics deep phenotyping profiling biological interactions over time.
Computational analysis of integrated multi-level biological data.
Review of existing literature and emerging trends in multi-omics research.

Main Results:

Multi-omics enables a precision health approach tailored to individual differences.
Applications span genetic variation, cardio-metabolic diseases, cancer, and more.
Potential to disentangle complex host-microbe and host-environmental interactions.

Conclusions:

Multi-omics technologies are pivotal for advancing precision health.
Integration with clinical data holds significant promise for personalized interventions.
Addressing implementation challenges is key to realizing the future potential of multi-omics.