Rna-seq Library
Rna-seq Library - Related Videos
09:54
RNA-Seq
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2023
Among different methods to evaluate gene expression, the high-throughput sequencing of RNA, or RNA-seq. is particularly attractive, as it can be performed and analyzed without relying on prior available genomic information. During RNA-seq, RNA isolated from samples of interest is used to generate a DNA library, which is then amplified and sequenced. Ultimately, RNA-seq can determine which genes are expressed, the levels of their expression, and the presence of any previously unknown transcripts.
14:49
Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
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Cited by 28 •
2011
Here we describe a method for preparation of both single read and paired end Illumina mRNA-Seq sequencing libraries for gene expression analysis based on T7 linear RNA amplification. This protocol requires only 10 nanograms of starting total RNA and generates highly consistent libraries representing whole transcripts.
12:05
RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing
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Cited by 4 •
2021
Here we describe the stages of sample collection and preparation for RIBO-seq in bacteria. Sequencing of the libraries prepared according to these guidelines results in sufficient data for comprehensive bioinformatic analysis. The protocol we present is simple, uses standard laboratory equipment and takes seven days from lysis to obtaining libraries.
06:21
Depletion of Ribosomal RNA for Mosquito Gut Metagenomic RNA-seq
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Cited by 20 •
2013
A ribosomal RNA (rRNA) depletion protocol was developed to enrich messenger RNA (mRNA) for RNA-seq of the mosquito gut metatranscriptome. Sample specific rRNA probes, which were used to remove rRNA via subtraction, were created from the mosquito and its gut microbes. Performance of the protocol can result in the removal of approximately 90-99% of rRNA.
05:07
Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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2025
This protocol allows initial quality control for RNA-seq experiments for wet-lab biologists with limited bioinformatics experience.
FAQs
Library construction can begin with RNA fragmentation or with conversion of RNA into complementary DNA (cDNA). These routes determine whether the material is physically broken before sequencing preparation or first represented as DNA. In either case, the resulting fragments become the substrate for adapter addition and amplification, linking the preparation strategy to the final sequencing library.
Adapters and sample-specific indexes serve different preparation functions. Adapters are added to the RNA-derived fragments as part of making them suitable for high-throughput sequencing, whereas indexes provide sample-associated labels when they are introduced. This distinction allows library construction to prepare fragments for sequencing while retaining a way to organize material from different samples in comparative experiments.
The information retained in a library supports more than a single expression measurement. Transcript abundance can be compared, while transcript structure can be examined for alternative splicing and transcript discovery. Consequently, library design and processing affect whether the resulting data can address quantitative questions about expression, structural questions about transcripts, or both.
An RNA-seq Library workflow starts with RNA isolation, followed by fragmentation or cDNA conversion. Researchers then add sequencing adapters, amplify the prepared fragments, and optionally introduce sample-specific indexes. Keeping these stages conceptually separate helps organize the preparation: isolation supplies the starting material, conversion or fragmentation shapes the fragments, and adapter addition, amplification, and indexing prepare them for downstream sequencing and comparison.
When the research question concerns changes in gene activity across biological conditions, an RNA-seq Library can support comparisons among tissues, developmental stages, disease states, or experimental conditions. The same prepared material can also contribute to transcript discovery and alternative-splicing analysis, making the approach useful when investigators need both expression-level and transcript-structure information.
Within genetics, these libraries connect RNA measurements to the broader genetic landscape by preserving information about which transcripts are represented and how they are structured. This makes them useful for examining how gene expression differs between biological contexts and for characterizing transcript features that may not be captured by abundance comparisons alone.