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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: Apr 4, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Application of an RNA amplification method for reliable single-cell transcriptome analysis.

Oleg Suslov¹, Daniel J Silver^1,2, Florian A Siebzehnrubl^1,3

¹Department of Neurosurgery, College of Medicine, the Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL.

|September 9, 2015

Summary

This study introduces a novel RNA amplification method for high-fidelity single-cell gene profiling. The technique overcomes 3' bias, enabling comprehensive transcript analysis and revealing complex cellular heterogeneity in neural stem cells.

Keywords:

RNA amplification SVZ single-cell analysis stem and progenitor cells

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Last Updated: Apr 4, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

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

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Published on: June 20, 2018

Area of Science:

Molecular Biology
Neuroscience
Genomics

Background:

Diverse cell types exhibit unique transcriptional signatures.
Single-cell resolution is crucial for accurate gene expression analysis.
Existing RNA amplification methods often suffer from 3' bias, limiting comprehensive profiling.

Purpose of the Study:

To develop and validate a novel RNA amplification approach for high-fidelity single-cell gene profiling.
To overcome the limitations of 3' bias in existing techniques.
To analyze the transcriptional landscape of individual cells in the mouse subventricular zone.

Main Methods:

A novel RNA amplification technique was developed for single-cell gene profiling.
Statistical and bioinformatics analyses were used to assess method limitations.
Individual cells from the mouse subventricular zone (SVZ) were profiled.

Main Results:

The new method provides high-fidelity gene profiling with diminished 3' bias.
It enables detection of all transcript regions, including noncoding RNAs and splice variants.
Analysis of SVZ cells revealed unexpected coexpression of cell-type-specific markers and multiple splice variants.

Conclusions:

This novel RNA amplification technology offers comprehensive genomic and transcriptomic analysis of small cell populations.
It enhances the understanding of cellular heterogeneity and gene expression dynamics.
The method has significant utility for studying dynamic and clinically relevant cells.