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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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Updated: Oct 8, 2025

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

Optical Cell Tagging for Spatially Resolved Single-Cell RNA Sequencing.

Qi Tang¹, Lu Liu², Yilan Guo¹

¹College of Chemistry and Molecular Engineering, Peking-Tsinghua Center for Life Sciences, Beijing National Laboratory for Molecular Sciences, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing, 100871, China.

Angewandte Chemie (International Ed. in English)

|December 31, 2021

Summary

We developed OpTAG-seq, a method to map cell positions during single-cell RNA sequencing. This technique reveals spatial gene expression patterns, identifying key genes in cancer cell migration and invasion.

Keywords:

Bioconjugation Live cell labeling Quinone methide Single-cell RNA sequencing Spatial transcriptomics

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Last Updated: Oct 8, 2025

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

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Published on: May 22, 2017

Optical Tweezers to Study RNA-Protein Interactions in Translation Regulation

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Published on: February 12, 2022

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Published on: August 6, 2014

Area of Science:

Genomics
Molecular Biology
Biotechnology

Background:

Single-cell RNA sequencing (scRNA-seq) offers high-resolution gene expression analysis.
Current scRNA-seq methods lack spatial information about cell locations within tissues.

Purpose of the Study:

To develop a novel chemical platform, OpTAG (optical cell tagging), for spatially resolved cell surface tagging.
To establish OpTAG-seq for integrating spatial information with scRNA-seq data.
To investigate the spatial transcriptional landscape of migrating cancer cells.

Main Methods:

Development of the OpTAG chemical platform for targeted cell surface labeling.
Integration of OpTAG with scRNA-seq workflow to create OpTAG-seq.
Application of OpTAG-seq to analyze gene expression in migrating cancer cells within their spatial context.

Main Results:

OpTAG enables spatially resolved attachment of functional tags to cell surfaces.
OpTAG-seq successfully mapped cellular heterogeneity with spatial information.
Identified novel genes potentially regulating cancer cell migration and invasion based on spatial expression patterns.

Conclusions:

OpTAG-seq is a powerful new technology for spatially resolved single-cell transcriptomics.
This method enhances understanding of cellular heterogeneity in complex biological systems.
OpTAG-seq provides insights into the spatial regulation of cancer cell behaviors like migration and invasion.