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Genomics

Genomics

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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Related Experiment Video

Updated: Dec 9, 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

Single-cell multiomics: technologies and data analysis methods.

Jeongwoo Lee¹, Do Young Hyeon¹, Daehee Hwang²

¹School of Biological Sciences, Seoul National University, Seoul, 08826, Republic of Korea.

Experimental & Molecular Medicine

|September 15, 2020

Summary

This summary is machine-generated.

Single-cell multiomics integrates molecular data from individual cells. This approach enhances understanding of cell types and functions in disease by analyzing gene regulation.

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Last Updated: Dec 9, 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

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics

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Published on: December 9, 2022

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Area of Science:

Molecular Biology
Genomics
Proteomics
Bioinformatics

Background:

Single-cell resolution technologies enable detailed profiling of DNA, mRNA, and proteins.
Bulk multiomics analyses provide comprehensive insights into cellular events and gene regulation.
The integration of these technologies facilitates the development of single-cell multiomics.

Purpose of the Study:

To summarize key technologies for single-cell multiomics analysis.
To outline methods for integrative analysis of single-cell multiomics data.
To highlight the characterization of cell types and functions in pathophysiological processes.

Main Methods:

Single-cell isolation and barcoding techniques.
High-throughput sequencing for multi-molecule profiling (mRNA-genome, mRNA-DNA methylation, mRNA-chromatin accessibility, mRNA-protein).
Integrative bioinformatics approaches for data analysis.

Main Results:

Enabling the measurement of multiple molecular types from individual cells.
Facilitating the examination of cell type-specific gene regulation.
Characterizing cellular functions and molecular signatures in disease contexts.

Conclusions:

Single-cell multiomics offers powerful tools for dissecting cellular heterogeneity.
Integrative analysis is crucial for understanding complex biological systems.
This field holds significant potential for advancing disease research and diagnostics.