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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
RNA-seq03:21

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 microarray-based...
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...

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Related Experiment Video

Updated: May 11, 2026

Isolation and Quantification of Axonal mRNAs Using Porous Membrane Inserts and RTddPCR
07:06

Isolation and Quantification of Axonal mRNAs Using Porous Membrane Inserts and RTddPCR

Published on: February 6, 2026

Quantitative transcriptomics using designed primer-based amplification.

Vipul Bhargava1, Pang Ko, Erik Willems

  • 1Bioinformatics and Systems Biology Graduate Program, University of California at San Diego, La Jolla, CA, USA.

Scientific Reports
|April 30, 2013
PubMed
Summary
This summary is machine-generated.

We developed a novel RNA-sequencing strategy, DP-seq, for amplifying low amounts of mRNA while preserving abundance. This method reveals novel transcripts and cell fate specification in early development.

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Last Updated: May 11, 2026

Isolation and Quantification of Axonal mRNAs Using Porous Membrane Inserts and RTddPCR
07:06

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Published on: February 6, 2026

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience
08:14

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Published on: August 26, 2014

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Area of Science:

  • Molecular Biology
  • Genomics
  • Developmental Biology

Background:

  • Accurate RNA quantification from limited samples is crucial for understanding gene expression.
  • Existing RNA-sequencing methods face challenges with low RNA input and preserving transcript abundance.
  • Ribosomal RNA often dominates sequencing libraries, masking low-abundance transcripts.

Purpose of the Study:

  • To develop a novel RNA-sequencing strategy for sensitive and accurate transcriptomic analysis.
  • To enable the study of gene expression from minute amounts of RNA.
  • To identify novel transcripts and understand cell fate specification during early development.

Main Methods:

  • Developed a Designed Primer-based RNA-sequencing (DP-seq) strategy using defined heptamer primers.
  • Optimized DP-seq for amplifying transcripts from as low as 50 picograms of mRNA.
  • Applied DP-seq to study lineage segregation in embryonic stem cell cultures.

Main Results:

  • DP-seq reproducibly amplified the majority of expressed transcripts from limited mRNA, preserving relative abundance.
  • Achieved a dynamic range of over five orders of magnitude in RNA concentrations.
  • Successfully suppressed amplification of ribosomal transcripts by over 70%.
  • DP-seq identified novel low-abundance transcripts, including those indicative of cell fate specification prior to germ layer segregation.

Conclusions:

  • DP-seq is a powerful tool for sensitive and accurate RNA-sequencing from limited samples.
  • The strategy effectively preserves transcript abundance and reduces bias from highly expressed transcripts.
  • DP-seq provides novel insights into early mammalian embryogenesis and cell fate determination.