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Single-Cell Transcriptomic Approaches for Decoding Non-Coding RNA Mechanisms in Colorectal Cancer.

Mahnoor Naseer Gondal1,2, Hafiz Muhammad Umer Farooqi3

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Non-Coding RNA
|March 24, 2025
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Summary

Non-coding RNAs (ncRNAs) are vital in colorectal cancer (CRC). This review highlights how single-cell bioinformatics tools analyze ncRNA expression and function, advancing CRC diagnostics and treatment strategies.

Keywords:
bioinformaticscolorectal cancernon-coding RNAsingle-cell sequencingtherapeutics

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Area of Science:

  • Genomics and Bioinformatics
  • Cancer Biology
  • Molecular Oncology

Background:

  • Non-coding RNAs (ncRNAs) significantly influence colorectal cancer (CRC) development and progression.
  • Single-cell transcriptome profiling reveals substantial expression heterogeneity in CRC cells, indicating complex cellular landscapes.

Purpose of the Study:

  • To review recent advancements in ncRNA research within CRC, with a specific focus on single-cell bioinformatics approaches.
  • To explore computational methods for ncRNA identification, characterization, and functional prediction using single-cell RNA sequencing (scRNA-seq) data in CRC.

Main Methods:

  • Review of computational strategies including sequence-based, structure-based, machine learning, and multi-omics integration for ncRNA analysis.
  • Application of bioinformatics techniques for differential expression analysis, functional enrichment, and regulatory network construction in CRC ncRNAs.
  • Examination of ncRNA heterogeneity in CRC through scRNA-seq data analysis.

Main Results:

  • Bioinformatics tools are essential for identifying, characterizing, and predicting the function of ncRNAs in CRC.
  • Computational methods enable the analysis of differential ncRNA expression, functional enrichment, and regulatory networks.
  • scRNA-seq data analysis reveals significant ncRNA heterogeneity within CRC, offering new insights into tumor biology.

Conclusions:

  • Single-cell bioinformatics is critical for understanding ncRNA biology in CRC.
  • Integration of computational approaches with experimental validation is key to advancing CRC diagnostics, prognostics, and therapeutic strategies through ncRNA research.