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Related Experiment Video

Updated: Sep 28, 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

Single-cell RNA sequencing technologies and applications: A brief overview.

Dragomirka Jovic^1,2, Xue Liang^1,2,3, Hua Zeng⁴

¹Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, Qingdao, China.

Clinical and Translational Medicine

|March 30, 2022

Summary

Single-cell RNA sequencing (scRNA-seq) reveals cellular complexity and function. This technology aids in understanding health and diseases by creating detailed cell atlases, offering potential for improved diagnostics and treatments.

Keywords:

RNA sequencing atlas big data precision medicine regenerative medicine single cell

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Last Updated: Sep 28, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Published on: January 10, 2019

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

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Published on: January 7, 2020

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Single-cell RNA sequencing (scRNA-seq) is a powerful technology for analyzing RNA transcripts at the individual cell level.
It has become essential for understanding cellular heterogeneity, cell type composition, and cellular functions in complex biological systems.
Since its inception in 2009, scRNA-seq has driven significant discoveries across various biological fields.

Purpose of the Study:

To provide a comprehensive overview of scRNA-seq technology.
To explain the experimental and computational workflows involved in scRNA-seq data generation and analysis.
To highlight the applications of scRNA-seq in understanding health and disease, including the development of cell atlases.

Main Methods:

Overview of scRNA-seq experimental protocols.
Explanation of computational pipelines for processing scRNA-seq data.
Review of key technological advancements and implementation steps.

Main Results:

scRNA-seq enables detailed analysis of cellular heterogeneity and function.
Applications include creating high-resolution cell atlases for various organisms.
Examples demonstrate the utility of scRNA-seq in advancing health and disease research.

Conclusions:

scRNA-seq offers unique insights into biological systems and disease mechanisms.
The development of comprehensive cell atlases is a key application with therapeutic potential.
Despite challenges, scRNA-seq holds great promise for transforming disease diagnosis and treatment strategies.