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RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Molecular Characterization of Soft Tissue Sarcomas Using RNA-Based Next-Generation Sequencing.

Bogdan Serban1,2, Adrian Cursaru1,2, Sergiu Iordache1,2

  • 1Department of Orthopedics and Traumatology, University Emergency Hospital, 050098 Bucharest, Romania.

International Journal of Molecular Sciences
|March 28, 2026
PubMed
Summary
This summary is machine-generated.

RNA-based next-generation sequencing (RNA-NGS) offers deeper insights into soft tissue sarcomas (STS). This molecular profiling reveals key genes linked to tumor aggressiveness and aids in precision medicine for STS patients.

Keywords:
RNA-NGSgene expressionsarcomas

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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Soft tissue sarcomas (STS) present diagnostic and therapeutic challenges.
  • Current methods like histopathology and immunohistochemistry lack molecular detail.
  • Understanding STS molecular complexity is crucial for improved patient outcomes.

Purpose of the Study:

  • To assess RNA-based next-generation sequencing (RNA-NGS) for molecular characterization of STS.
  • To identify transcriptomic mechanisms associated with STS aggressiveness and treatment resistance.
  • To explore the utility of RNA-NGS in precision medicine for STS.

Main Methods:

  • Analysis of RNA from 24 STS patient samples using a targeted pan-cancer panel.
  • Sequencing performed on the Illumina platform with bioinformatic analysis (DRAGEN, DESeq2).
  • Comparison with adipose and skeletal muscle tissue controls.

Main Results:

  • RNA-NGS identified single-nucleotide polymorphisms and differential gene expression in STS.
  • Overexpression of proliferation (e.g., TOP2A, MKI67), ECM (e.g., COL11A1), and developmental genes (e.g., HOXD13) was observed.
  • Distinct transcriptomic profiles were found in leiomyosarcoma, with clinically relevant gene fusions detected.

Conclusions:

  • RNA-NGS provides significant biological and clinical insights into the molecular landscape of STS.
  • This technology can help elucidate mechanisms of tumor aggressiveness and treatment resistance.
  • RNA-NGS supports integration into precision medicine workflows for STS diagnosis and management.