Application of sequence semantic and integrated cellular geography approach to study biogenesis of exonic circular RNA

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Abstract

Background

Concurrent existence of lncRNA and circular RNA at both nucleus and cytosol within a cell at different proportion is well reported. Secondly, information on genes transcribing both circular and lncRNAs along with total number of RBP binding sites for both of these RNA types is extractable from databases. This study showed how these apparently unconnected pieces of reports could be put together to build a model leading to biogenesis of circular RNA.

Results

As a result of this study, a model was built under the premises that, sequences with special semantics were molecular precursors in biogenesis of circular RNA which occurred through catalytic role of some specific RBPs. The model outcome was further strengthened by fulfillment of three logical lemmas which were extracted and assimilated in this work using a novel data analytic approach, Integrated Cellular Geography. Result of the study was found to be in well agreement with proposed model. Furthermore this study also indicated that biogenesis of circular RNA was a post-transcriptional event.

Conclusions

Overall, this study provides a novel systems biology based model under the paradigm of Integrated Cellular Geography which can assimilate independently performed experimental results and data published by global researchers on RNA biology to provide important information on biogenesis of exonic circular RNAs considering lncRNAs as precursor molecule.

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    Not required = Field is not applicable to this study

    Not detected = Field is applicable to this study, but not included.


    Ethics

    Field Sample Permit: Collection of data for detecting cellular spatiotemporal condition supporting circularization For this purpose, online database and web server were used by taking specific queries like , RBP-types or lncRNAs to search out their special location inside cellular spaces

    Inclusion and Exclusion Criteria

    not required.

    Attrition

    not required.

    Sex as a biological variable

    not required.

    Subject Demographics

    Age: not required.

    Weight: not required.

    Randomization

    To reduce computational complexity in dealing with very large database where number of data is greater than 1000 , sample datasets were used through random selection of data from the original database .

    Blinding

    not detected.

    Power Analysis

    not detected.

    Replication

    not required.

    Data Information

    Identifiers: We analyzed the spread of this biomolecular entity outside and inside the sub- cellular space along with assimilating other reported pieces of information (e.g., about RBP molecules involved in circularization of such bioRxiv preprint doi: https:// doi.org/10.1101/2021.10.26.465935; this version posted October 26, 2021. https://doi.org/10.1101/2021.10.26.465935