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Related Experiment Video

Updated: Aug 8, 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

Methods and applications for single-cell and spatial multi-omics.

Katy Vandereyken^1,2,3, Alejandro Sifrim^1,2,3, Bernard Thienpont^1,2,3

¹KU Leuven Institute for Single Cell Omics (LISCO), University of Leuven, KU Leuven, Leuven, Belgium.

Nature Reviews. Genetics

|March 2, 2023

Summary

This summary is machine-generated.

Single-cell multi-omics integrates genome, epigenome, transcriptome, proteome, and metabolome data. These advanced technologies provide new insights into cell biology for health and disease research.

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Last Updated: Aug 8, 2025

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Cell Biology
Genomics
Molecular Biology

Background:

Single-cell multi-omics is revolutionizing cell biology by integrating multiple molecular layers.
Technological advancements enable deeper understanding of cellular mechanisms in health and disease.
This field has rapidly evolved, offering unprecedented insights into complex biological systems.

Purpose of the Study:

To review advances in single-cell and spatial multi-omics technologies.
To highlight computational strategies for integrating multi-omics data.
To discuss the impact and future of multimodal omics in research.

Main Methods:

Review of recent technological developments in single-cell and spatial multi-omics.
Analysis of computational approaches for multimodal data integration.
Synthesis of findings from diverse studies utilizing these technologies.

Main Results:

Significant progress in technologies enabling joint analysis of multiple molecular layers from single cells.
Development of computational tools to integrate diverse omics data.
Demonstrated impact on fundamental cell biology and translational research.

Conclusions:

Single-cell multi-omics is a transformative approach in biological research.
Continued technological and computational advancements are crucial for future discoveries.
This field holds great promise for understanding and treating diseases.