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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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Next-generation Sequencing03:00

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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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.
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Related Experiment Video

Updated: Sep 28, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

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Prime-seq, efficient and powerful bulk RNA sequencing.

Aleksandar Janjic1,2, Lucas E Wange1, Johannes W Bagnoli1

  • 1Anthropology & Human Genomics, Faculty of Biology, Ludwig-Maximilians University, Großhaderner Str. 2, 82152, Martinsried, Germany.

Genome Biology
|April 1, 2022
PubMed
Summary
This summary is machine-generated.

Prime-seq, an early barcoding bulk RNA sequencing (RNA-seq) method, offers equivalent performance to TruSeq at a fraction of the cost. This optimization makes bulk RNA-seq more accessible for research labs.

Keywords:
GenomicsPower analysisRNA-seqTranscriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Early barcoding is crucial for cost-effective library generation in single-cell RNA sequencing.
  • Bulk RNA sequencing (RNA-seq) methods require efficient and economical library preparation protocols.

Purpose of the Study:

  • To optimize and validate prime-seq, an early barcoding bulk RNA-seq method.
  • To assess the cost-efficiency and performance of prime-seq compared to standard methods.
  • To validate key steps within the prime-seq protocol, including direct RNA isolation.

Main Methods:

  • Optimization and validation of the prime-seq protocol for early barcoding in bulk RNA-seq.
  • Comparative performance analysis against the TruSeq bulk RNA-seq method.
  • Cost-efficiency assessment, focusing on library generation expenses.

Main Results:

  • Prime-seq demonstrates equivalent performance to the standard TruSeq bulk RNA-seq method.
  • Prime-seq is fourfold more cost-efficient, primarily due to significantly cheaper library costs (nearly 50-fold reduction).
  • Validation of a direct RNA isolation step and confirmation that intronic reads originate from RNA.

Conclusions:

  • Prime-seq represents a highly cost-efficient early barcoding bulk RNA-seq protocol.
  • The method is recommended for laboratories seeking to implement economical bulk RNA-seq.
  • Prime-seq offers a valuable alternative for researchers aiming to reduce library generation costs without compromising performance.