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  • Open Access

    ARTICLE

    Deep-piRNA: Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features

    Salman Khan1, Mukhtaj Khan1,2, Nadeem Iqbal1, Mohd Amiruddin Abd Rahman3,*, Muhammad Khalis Abdul Karim3

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2243-2258, 2022, DOI:10.32604/cmc.2022.022901 - 29 March 2022

    Abstract Piwi-interacting Ribonucleic acids (piRNAs) molecule is a well-known subclass of small non-coding RNA molecules that are mainly responsible for maintaining genome integrity, regulating gene expression, and germline stem cell maintenance by suppressing transposon elements. The piRNAs molecule can be used for the diagnosis of multiple tumor types and drug development. Due to the vital roles of the piRNA in computational biology, the identification of piRNAs has become an important area of research in computational biology. This paper proposes a two-layer predictor to improve the prediction of piRNAs and their function using deep learning methods. The More >

  • Open Access

    ARTICLE

    Small RNA sequencing revealed aberrant piRNA expression profiles in deciduas of recurrent spontaneous abortion patients

    JIABAO WU1,2,#, XIAOHUA LIU1,2,#, LU HAN1,2, HUA NIE1,2, YUAN TANG1,2, YUNGE TANG1,3, GE SONG1,5, LIXIN ZHENG1,4, WEIBING QIN1,2,*

    BIOCELL, Vol.46, No.4, pp. 1013-1023, 2022, DOI:10.32604/biocell.2022.016744 - 15 December 2021

    Abstract Piwi-interacting RNAs (piRNAs) is a novel class of non-coding RNAs. However, changes in piRNA expression profiles in recurrent spontaneous abortion (RSA) have not yet been investigated. The aim of this study was to identify differentially expressed piRNAs in deciduas of RSA patients. Decidua tissues were collected by curettage from recruited RSA patients and normal early pregnant (NEP) women with their informed consent. Small RNA sequencing was used to evaluate the differences in piRNA expression profiles between RSA and NEP. The present results demonstrated that the counts of total piRNA reads in RSA samples were increased… More >

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