LncAS2Cancer: a comprehensive database for alternative splicing of lncRNAs across human cancers

Yulan Deng1, Hao Luo1, Zhenyu Yang1

  • 1Department of Thoracic Surgery, West China Hospital, Sichuan University.

Insights

A new database, LncAS2Cancer, catalogs over 50,000 alternative splicing events in long non-coding RNAs (lncRNAs) across 30 cancer types. This resource aids in understanding lncRNA isoform functions in cancer development and identifies potential biomarkers.

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • Long non-coding RNAs (lncRNAs) play crucial roles in tumorigenesis, with their functions often being isoform-dependent.
  • Aberrant alternative splicing patterns in lncRNAs are implicated in cancer-specific functions.
  • A dedicated database for cancer-related lncRNA alternative splicing is currently lacking.

Purpose of the Study:

  • To develop and present LncAS2Cancer, a comprehensive database for lncRNA alternative splicing events in human cancers.
  • To provide a platform for exploring the functional impact, regulatory mechanisms, and biomarker potential of lncRNA isoforms in cancer.

Main Methods:

  • Collected and integrated data from 5335 bulk and 1826 single-cell RNA sequencing samples across over 30 cancer types.
  • Applied six advanced splicing algorithms to identify 50,859 alternative splicing events across 8 splicing types.
  • Incorporated splicing patterns under various conditions, functional annotations, and survival analysis data.

Main Results:

  • LncAS2Cancer houses extensive data on lncRNA alternative splicing events, including isoform-specific information and potential regulatory insights.
  • The database confirmed known cancer-associated lncRNA isoforms and identified novel ones.
  • Analysis facilitated comparisons of gene models, transcript overlaps, and the impact of sequencing depth on splicing interpretation.

Conclusions:

  • LncAS2Cancer provides a valuable resource for investigating the diverse roles of lncRNA isoforms in human cancers.
  • The database enables the prioritization of splicing events for further research and biomarker discovery.
  • It offers new insights into the functional specificity of lncRNA splicing in cancer progression.

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