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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: Sep 19, 2025

Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis

Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis

Published on: December 22, 2023

Advances in single-cell omics: Transformative applications in basic and clinical research.

Mohammed Inayatullah¹, Anuj Kumar Dwivedi¹, Vijay K Tiwari²

¹Institute for Molecular Medicine, University of Southern Denmark, Campusvej 55, DK-5230, Odense M, Denmark.

Current Opinion in Cell Biology

|June 15, 2025

Summary

This summary is machine-generated.

Single-cell omics technologies like RNA sequencing reveal cellular states in complex tissues. These advanced methods offer new biomarkers and therapeutic targets for diseases, driving personalized medicine.

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Last Updated: Sep 19, 2025

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

Single-cell omics technologies have rapidly advanced, enabling detailed analysis of cellular heterogeneity.
Understanding cellular interactions and states is crucial in fields like cancer research and developmental biology.

Purpose of the Study:

To review the applications of single-cell omics in dissecting complex biological systems.
To highlight the potential of these technologies in identifying disease mechanisms and therapeutic targets.

Main Methods:

Single-cell RNA sequencing
Spatial transcriptomics
Multi-omics integration
Computational modeling

Main Results:

Single-cell omics reveal distinct cell populations and their functional states.
These approaches uncover insights into cellular interactions, disease mechanisms, and treatment responses.
Novel biomarkers and therapeutic targets are identified, especially in heterogeneous diseases.

Conclusions:

Single-cell omics are critical for advancing biological understanding and clinical applications.
Integration with computational models enhances the study of cellular dynamics and microenvironmental factors.
These technologies pave the way for personalized medicine and improved disease management.