circAtlas Edit

Citations: 0

z-index: 0

Basic information
Short name circAtlas
Full name
Description circAtlas 2.0 integrates millions of circRNAs across 7 species (human, macaca, mouse, rat, pig, chicken, dog) and a variety of tissues. The circAtlas 2.0 can fill this gap by integrating the most comprehensive circRNAs and their expression and functional profiles in vertebrates, which provides a foundation for circRNA studies and serves as a powerful starting point to investigate their biological significance.
Year founded 2018
Last update & version v2.0
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution Beijing Institutes of Life Science, Chinese Academy of Sciences
City Beijing
Country/Region China
Contact name (PI/Team) Fangqing Zhao
Contact email (PI/Helpdesk)
Data information
Data object
Data type
Database category
Major organism
  • Expanded Expression Landscape and Prioritization of Circular RNAs in Mammals. [PMID: 30893614]
    Ji P, Wu W, Chen S, Zheng Y, Zhou L, Zhang J, Cheng H, Yan J, Zhang S, Yang P, Zhao F.

    Circular RNAs (circRNAs) are emerging as essential regulators of various biological and disease processes. To comprehensively understand the diversity of circRNAs and prioritize their importance, we present a large-scale study of circRNA repertoires from multiple tissues from human, macaque, and mouse. We discovered totals of 104,388, 96,675, and 82,321 circRNAs from the three species, respectively, with an average of 72.6% being successfully assembled into full-length transcripts for each species. Using these full-length circRNAs, we identified thousands of evolutionarily conserved circRNAs that were valuable for functional screening and prioritization. By constructing both species-specific and conserved gene co-expression networks, we inferred circRNA functions on a global scale and prioritized promising functional candidates. To illustrate how well-established prior knowledge facilitates to screen functional candidates, we used the circRNA co-expression networks to prioritize circRNAs that may be involved in liver tumorigenesis and experimentally validated their functions.

    Cell Rep 2019:26(12)

    0 Citations (from Europe PMC, 2019-06-08)


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  • Created on: 2019-03-22
    • ***ina@*** [2019-03-22]
    • ***d@*** [2019-03-22]
    • ***ina@*** [2019-03-22]
    • ***ina@*** [2019-03-22]

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