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Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

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Published on: February 23, 2024

Transcriptome Profiling in Human Diseases: New Advances and Perspectives.

Amelia Casamassimi¹, Antonio Federico^2,3, Monica Rienzo⁴

¹Department of Biochemistry, Biophysics and General Pathology, University of Campania "Luigi Vanvitelli", Via L. De Crecchio, 80138 Naples, Italy. amelia.casamassimi@unicampania.it.

International Journal of Molecular Sciences

|August 1, 2017

Summary

RNA sequencing revolutionizes transcriptome analysis, enabling discovery of molecular biomarkers and therapeutic targets for human diseases. This technology is crucial for diagnosing pathologies and advancing clinical applications.

Keywords:

RNA sequencing alternative transcripts biomarkers human diseases multi-omics noncoding RNA therapeutic targets transcriptome profiling

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Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Transcriptome profiling is vital for understanding human diseases at the molecular level.
Gene expression studies have identified numerous molecular biomarkers and therapeutic targets.
Total RNA sequencing has significantly advanced transcriptome analysis capabilities.

Purpose of the Study:

To highlight the revolutionary impact of RNA sequencing on transcriptome analysis.
To showcase its role in identifying disease markers and therapeutic targets.
To emphasize its application in ongoing clinical trials for disease diagnosis.

Main Methods:

Utilizing total RNA sequencing for comprehensive transcriptome profiling.
Applying data integration approaches for efficient analysis.
Leveraging large-scale projects like ENCODE and TCGA for data generation.

Main Results:

RNA sequencing enables quantification of gene expression and allele-specific expression.
It facilitates the identification of novel genes, splice isoforms, and fusion transcripts.
It provides unprecedented insights into non-coding RNA.

Conclusions:

RNA sequencing is a transformative technology in molecular diagnostics and therapeutics.
It plays a critical role in identifying novel disease markers and therapeutic targets.
Its application in clinical trials is expanding for disease diagnosis and management.