RNA sequencing

From Biolecture.org

RNA Sequencing (RNA-seq)

RNA Sequencing (RNA-seq) is a powerful technology used to analyze the transcriptome of cells, tissues, or entire organisms. The transcriptome includes all RNA molecules expressed within a cell at a specific time and under specific conditions. RNA-seq determines the quantity and sequences of RNA molecules, generating gene expression profiles. The process involves the following steps:

RNA Extraction:

    • Total RNA is extracted from the cells or tissues of interest. Total RNA typically includes mRNA, tRNA, rRNA, etc., but RNA-seq mainly focuses on mRNA.

cDNA Synthesis:

    • The extracted RNA is converted into complementary DNA (cDNA) using reverse transcriptase. cDNA is stable and suitable for sequencing.

Library Preparation:

    • Adapter sequences are attached to the cDNA fragments to prepare a sequencing library. Adapter sequences enable the sequencing machine to recognize and read the DNA fragments.

Sequencing:

    • The prepared cDNA library is sequenced using next-generation sequencing (NGS) technology. This process generates millions of short DNA sequence reads.

Data Analysis:

    • The generated sequence data are aligned to a reference genome. This step quantifies gene expression levels, detects novel transcripts, splicing variants, gene fusions, and more.

Applications:

  • Gene Expression Analysis: Compare gene expression levels under different conditions or disease states.
  • Discovery of New Transcripts: Identify previously unknown RNA molecules.
  • Splicing Variant Analysis: Analyze different splicing forms and variants.
  • Gene Fusion Detection: Detect gene fusion events, often associated with cancers.

Advantages:

  • High sensitivity and accuracy: Can detect low-abundance RNA.
  • Broad applicability: Suitable for various biological questions and sample types.

Limitations:

  • Complexity of data processing: Requires advanced computational biology skills to process and interpret large amounts of data.
  • Cost: High-quality RNA-seq analysis can still be relatively expensive.

RNA-seq is an essential tool in biological and medical research, helping to understand disease mechanisms, discover biomarkers, develop new drugs, and more.