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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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Updated: Jul 16, 2025

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

Decoding Human Biology and Disease Using Single-cell Omics Technologies.

Qiang Shi¹, Xueyan Chen¹, Zemin Zhang²

¹Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China.

Genomics, Proteomics & Bioinformatics

|September 22, 2023

Summary

This summary is machine-generated.

Single-cell omics (SCO) technologies reveal cellular differences for understanding biology and disease. This review covers SCO advancements and their impact on cancer research, clinical diagnosis, and personalized therapies.

Keywords:

Cancer research Cellular heterogeneity Computational method Disease Single-cell omics

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Published on: March 8, 2020

Area of Science:

Genomics
Molecular Biology
Biotechnology

Background:

Single-cell omics (SCO) technologies have revolutionized the study of cellular heterogeneity.
These advancements allow for high-resolution analysis of individual cells, crucial for understanding complex biological systems and diseases.

Purpose of the Study:

To review the development of sequencing-based SCO technologies and computational methods.
To highlight key insights gained from SCO studies in normal and diseased states, particularly in cancer research.
To discuss future technological improvements and the potential of SCO in fundamental research, clinical diagnostics, and personalized medicine.

Main Methods:

Review of recent literature on sequencing-based single-cell omics technologies.
Analysis of computational methods used for SCO data processing and interpretation.
Synthesis of findings from various SCO studies, with a focus on cancer research.

Main Results:

SCO technologies provide unprecedented resolution for studying cellular heterogeneity.
SCO sequencing has yielded significant insights into normal cellular functions and disease mechanisms, especially in cancer.
Technological advancements continue to enhance SCO capabilities.

Conclusions:

SCO is a powerful tool for advancing fundamental biological research and understanding human disease.
SCO holds great potential for improving clinical diagnoses and enabling personalized therapeutic strategies.