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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: Jun 3, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Advances and applications in single-cell and spatial genomics.

Jingjing Wang¹, Fang Ye¹, Haoxi Chai²

¹Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 310058, China.

Science China. Life Sciences

|January 10, 2025

Summary

Single-cell and spatial genomics technologies offer high-resolution insights into cellular states and tissue organization. This review covers their evolution, multi-omics advances, computational methods, and clinical applications in disease research.

Keywords:

cell atlas clinical application multi-omics single-cell spatial technologies

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Last Updated: Jun 3, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease

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Published on: February 1, 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:

Genomics
Cell Biology
Bioinformatics

Background:

Single-cell and spatial technologies have transformed our understanding of cellular heterogeneity.
These methods provide high-resolution insights into functional genomics and tissue context.

Purpose of the Study:

To review the historical development and recent advancements in single-cell and spatial genomics.
To discuss computational strategies for analyzing single-cell atlas data.
To highlight clinical applications and future trends in the field.

Main Methods:

Review of single-cell multi-omics technologies.
Analysis of spatial genomics methods.
Examination of computational strategies for single-cell atlas data.

Main Results:

Significant progress in single-cell and spatial genomics technologies.
Breakthroughs in multi-omics approaches and spatial profiling.
Development of computational tools for large-scale single-cell data analysis.

Conclusions:

Cellular atlases constructed using these technologies have significant clinical applications, especially in disease research.
The field presents emerging trends, challenges, and opportunities for future innovation.