Affiliation:
1. RNAi and Functional Genomics Lab., National Institute of Technology Rourkela, Rourkela-769008, Odisha, India
2. Department of Biology, Utrecht University, Utrecht, Netherlands
Abstract
Background:
Piwi-interacting RNAs (piRNAs) are an amazing class of small noncoding
RNAs (sncRNAs) known for its promising role in germline and somatic cells. Myriad
functional studies have been performed to unveil the true potential of this class of ncRNAs;
however, global features encoded in their sequence and structure have not been explored.
Objectives:
We aim to identify the sequence and structural level characteristic features of piRNAs of normal ovary (NO),
and two subtypes of epithelial ovarian cancer (EOCa)- endometrioid (ENOCa), and serous ovarian cancer (SOCa) that we
had reported earlier and their precursors.
Methods:
We have performed sequence analysis of mature piRNAs and their upstream/downstream regions as well as
structural analysis of precursor piRNAs (pre-piRNAs) by examining their minimal folding energy (MFE), adjusted
minimal folding energy (AMFE) and minimal folding energy index (MFEI) etc using in silico approaches.
Results:
We observed enrichment of U at first position and G at several other positions of mature
piRNAs, which might be associated with the processing of mature piRNAs similar to what is seen
in the case of miRNAs and strong target binding, respectively. In addition, we found the richness
of AU in and around 20 nts upstream and downstream of precursor piRNAs (pre-piRNAs). This
characteristic feature of pre-piRNAs possibly contributes to lower MFE compared to random
sequences and make its secondary structure less stable which decides biogenesis of piRNAs. We
also noticed that MFE, AMFE and MFEI of pre-piRNAs are comparatively less than pre-miRNAs
of metazoans, plants and viruses reported in other studies, which clearly discriminate pre-piRNAs
from other RNA sequences including pre-miRNAs of other organisms.
Conclusion:
In summary, the present study reveals key characteristic features encoded within and around mature piRNAs
as well as pre-piRNAs of NO and EOCa samples that distinguish piRNAs from miRNAs and other random RNA
sequences. These findings might act as a cornerstone for better understanding of biogenesis and function of piRNAs as
well as will aid in easier identification of new piRNAs from unknown stretch of sequences using the characteristic
features.
Funder
Department of Biotechnology, Govt. of India
Council of Scientific and Industrial Research (CSIR), Govt. of India
Publisher
Bentham Science Publishers Ltd.
Subject
Computational Mathematics,Genetics,Molecular Biology,Biochemistry
Cited by
6 articles.
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