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Related Concept Videos

RNA-seq03:21

RNA-seq

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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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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Updated: Aug 15, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

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Benchmarking full-length transcript single cell mRNA sequencing protocols.

Victoria Probst1, Arman Simonyan1, Felix Pacheco1

  • 1Genomic Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

BMC Genomics
|December 29, 2022
PubMed
Summary
This summary is machine-generated.

Plate-based single-cell RNA sequencing (scRNA-seq) protocols were evaluated for gene detection sensitivity and cost. Genome & Transcriptome sequencing (G&T) and SMART-seq3 (SS3) offer high performance at lower costs for high-throughput labs.

Keywords:
BenchmarkingFull-length RNAseqG&T sequencingNEBSMART-seq3Single cellTakaramRNA sequencing technologies

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Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
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Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Single-cell mRNA sequencing (scRNA-seq) technologies have revolutionized the study of cellular heterogeneity and identity.
  • Plate-based scRNA-seq protocols are essential for applications requiring high transcript capture per cell, such as clinical marker estimation.

Purpose of the Study:

  • To evaluate the performance of four plate-based scRNA-seq protocols.
  • To compare gene detection sensitivity, reproducibility, cost, and hands-on time for clinical applications.

Main Methods:

  • Performance evaluation of four plate-based scRNA-seq protocols: NEBNext® Single Cell/ Low Input RNA Library Prep Kit (NEB®), SMART-seq® HT kit (Takara®), Genome & Transcriptome sequencing (G&T), and SMART-seq3 (SS3).
  • Assessment focused on high gene detection sensitivity, inter-sample reproducibility, and hands-on time.

Main Results:

  • Genome & Transcriptome sequencing (G&T) demonstrated the highest gene detection per single cell.
  • SMART-seq3 (SS3) offered the highest gene detection per single cell at the lowest cost.
  • The Takara® kit provided high gene detection and reproducibility but at the highest price, while NEB® offered lower gene detection but was a more affordable commercial option.

Conclusions:

  • Ease-of-use in scRNA-seq protocols often correlates with higher costs.
  • For analyzing a few samples where ease-of-use is paramount, the Takara® kit is suitable.
  • For laboratories with substantial sample throughput, the cost-effective G&T-seq or SS3 protocols are recommended.