Expanding and Enriching the LncRNA Gene–Disease Landscape Using the GeneCaRNA Database

Shalini Aggarwal*, Chana Rosenblum, Marshall Gould, Shahar Ziman, Ruth Barshir, Ofer Zelig, Yaron Guan-Golan, Tsippi Iny-Stein, Marilyn Safran, Shmuel Pietrokovski, Doron Lancet*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The GeneCaRNA human gene database is a member of the GeneCards Suite. It presents ~280,000 human non-coding RNA genes, identified algorithmically from ~690,000 RNAcentral transcripts. This expands by ~tenfold the ncRNA gene count relative to other sources. GeneCaRNA thus contains ~120,000 long non-coding RNAs (LncRNAs, >200 bases long), including ~100,000 novel genes. The latter have sparse functional information, a vast terra incognita for future research. LncRNA genes are uniformly represented on all nuclear chromosomes, with 10 genes on mitochondrial DNA. Data obtained from MalaCards, another GeneCards Suite member, finds 1547 genes associated with 1 to 50 diseases. About 15% of the associations portray experimental evidence, with cancers tending to be multigenic. Preliminary text mining within GeneCaRNA discovers interactions of lncRNA transcripts with target gene products, with 25% being ncRNAs and 75% proteins. GeneCaRNA has a biological pathways section, which at present shows 131 pathways for 38 lncRNA genes, a basis for future expansion. Finally, our GeneHancer database provides regulatory elements for ~110,000 lncRNA genes, offering pointers for co-regulated genes and genetic linkages from enhancers to diseases. We anticipate that the broad vista provided by GeneCaRNA will serve as an essential guide for further lncRNA research in disease decipherment.

Original languageEnglish
Article number1305
JournalBiomedicines
Volume12
Issue number6
DOIs
Publication statusPublished - Jun 2024

Bibliographical note

This work was supported by grants from LifeMap Sciences (Alameda, CA, USA); PIONEER, a European Network of Excellence for Big Data in Prostate Cancer, Horizon 2020 (777492); and DC-ren, Horizon 2020 EU grant on Drug combinations for rewriting trajectories of renal pathologies in type II diabetes (SEP-210574920).

Publisher Copyright:
© 2024 by the authors.

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • General Biochemistry,Genetics and Molecular Biology

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