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Related Experiment Video

Updated: Jun 21, 2026

Expression Analysis of Mammalian Linker-histone Subtypes

Expression Analysis of Mammalian Linker-histone Subtypes

Published on: March 19, 2012

Digital transcriptome profiling using selective hexamer priming for cDNA synthesis.

Christopher D Armour¹, John C Castle, Ronghua Chen

¹Department of Molecular Informatics, Rosetta Inpharmatics LLC, a wholly owned subsidiary of Merck and Co., Inc., Seattle, Washington, USA. christopher_armour@merck.com

|August 12, 2009

Summary

This summary is machine-generated.

We created a new method to prepare whole transcriptome cDNA libraries from minimal RNA. This technique uses

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Last Updated: Jun 21, 2026

Expression Analysis of Mammalian Linker-histone Subtypes

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Published on: March 19, 2012

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DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling

Published on: October 8, 2019

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Ribosomal RNA (rRNA) contamination is a major challenge in transcriptome analysis.
Efficiently preparing cDNA libraries from small RNA quantities is crucial for accurate gene expression profiling.

Purpose of the Study:

To develop and validate a novel procedure for whole transcriptome cDNA library preparation.
To achieve full-length, strand-specific RNA representation with minimal input RNA.
To overcome limitations of existing rRNA depletion methods.

Main Methods:

Utilized computationally selected 'not-so-random' (NSR) primers for cDNA synthesis.
Depleted ribosomal RNA from total RNA samples.
Prepared whole transcriptome cDNA libraries from 1 microg of total RNA.
Employed ultra-high-throughput sequencing for transcript profiling.

Main Results:

Successfully generated strand-specific cDNA libraries with depleted rRNA.
Achieved comprehensive transcriptome representation from limited RNA input.
Validated the technique using human whole brain and universal human reference RNA samples.

Conclusions:

The developed NSR primer-based method provides an efficient and effective approach for whole transcriptome library preparation.
This technique enables accurate gene expression analysis even with small RNA amounts.
The method is suitable for profiling complex biological samples like human brain RNA.