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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Related Experiment Video

Updated: Sep 3, 2025

Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques

Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques

Published on: September 25, 2018

Delineating COVID-19 immunological features using single-cell RNA sequencing.

Wendao Liu^1,2, Johnathan Jia^1,2, Yulin Dai²

¹The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA.

Innovation (Cambridge (Mass.))

|July 26, 2022

Summary

Single-cell RNA sequencing reveals key features of COVID-19 disease, including cellular changes and immune responses in patients. This approach aids in understanding severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection and developing targeted therapies.

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Immunology
Genomics
Virology

Background:

Understanding COVID-19 pathogenesis is crucial for effective treatment development.
Single-cell RNA sequencing (scRNA-seq) offers high-resolution insights into cellular responses to infection.

Purpose of the Study:

To review the applications and findings of scRNA-seq studies in COVID-19 research.
To summarize the insights gained into host responses and viral infection at the single-cell level.

Main Methods:

Comprehensive review of over 80 original COVID-19 scRNA-seq studies.
Analysis of secondary studies and publicly available scRNA-seq datasets.

Main Results:

scRNA-seq identifies altered cell populations and gene expression patterns in COVID-19 patients.
Detailed characterization of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection within individual cells.
Insights into immune repertoire adaptation during COVID-19.

Conclusions:

scRNA-seq is a powerful tool for dissecting COVID-19 heterogeneity and immune dynamics.
Further research is needed to address current study limitations and advance therapeutic strategies.