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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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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 Glycan and RNA Sequencing (scGR-seq).

Haruki Odaka¹, Hiroaki Tateno^1,2

¹Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.

Current Protocols

|May 11, 2023

Summary

This summary is machine-generated.

This study introduces single-cell glycan/RNA sequencing (scGR-seq), a novel method for analyzing cell surface glycans and RNA simultaneously. This technique enhances understanding of cellular heterogeneity and cell signatures.

Keywords:

RNA glycan lectin sequencing single-cell

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Published on: November 11, 2014

Area of Science:

Molecular Biology
Genomics
Biochemistry

Background:

Single-cell multi-omics analysis is vital for understanding cellular heterogeneity.
Cell surface glycans form unique 'cell signatures' varying by cell type and state.
Direct single-cell glycan analysis presents significant technical challenges.

Purpose of the Study:

To present a protocol for simultaneous single-cell glycan and RNA measurement.
To enable detailed analysis of cell surface glycan diversity alongside transcriptomic data.
To overcome limitations in current single-cell glycan analysis techniques.

Main Methods:

Development of DNA-barcoded lectins for glycan detection.
A step-by-step protocol for single-cell glycan and RNA sequencing (scGR-seq).
Establishment of a data analysis framework for integrated glycan and RNA data.

Main Results:

Successful implementation of scGR-seq for simultaneous glycan and RNA profiling at the single-cell level.
Demonstration of techniques for preparing DNA-barcoded lectins.
A comprehensive protocol and data analysis approach for scGR-seq.

Conclusions:

scGR-seq provides a powerful new tool for dissecting cellular heterogeneity.
This method allows for the characterization of cell signatures based on glycan profiles.
The protocol facilitates the integration of glycomic and transcriptomic data for deeper biological insights.