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Updated: May 21, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
RNA-Seq and human complex diseases: recent accomplishments and future perspectives
Valerio Costa1, Marianna Aprile, Roberta Esposito
1Consiglio Nazionale delle Ricerche, Institute of Genetics and Biophysics A. Buzzati-Traverso, Naples, Italy. valerio.costa@igb.cnr.it
Gene expression analysis, particularly RNA-Seq, offers a powerful approach to understanding complex diseases. This method reveals gene variations linked to disease, overcoming limitations of older technologies for conditions like cancer and neurodegenerative diseases.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Identifying disease-causing mutations is crucial for understanding Mendelian and complex diseases.
- Gene expression analysis provides an unbiased method to investigate disease pathogenesis.
- Traditional technologies have limitations in comprehensively analyzing the transcriptome.
Purpose of the Study:
- To provide an overview of gene expression profiling for complex diseases.
- To highlight the advantages of RNA-Seq over conventional technologies.
- To discuss the role of RNA-Seq in linking nucleotide variations to gene expression changes.
Main Methods:
- Review of gene expression profiling techniques.
- Emphasis on Next-Generation Sequencing (NGS) and RNA-Seq.
- Comparison of RNA-Seq with hybridization- and tag-based technologies.
Main Results:
- RNA-Seq enables identification of novel genes, splice isoforms, RNA editing, fusion transcripts, and allele-specific expression.
- RNA-Seq has been successfully applied in cancer and host-pathogen interactions.
- RNA-Seq is emerging as a key tool for neurodegenerative diseases and quantitative trait loci analysis.
Conclusions:
- RNA-Seq offers significant advantages for studying complex diseases, including cancer and neurodegenerative diseases.
- It facilitates the understanding of disease mechanisms by linking genetic variations to gene expression.
- Further research and discussion on RNA-Seq's limitations are warranted.
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