Institutional Publications

Permanent URI for this collectionhttps://ndkr-library.nipgr.ac.in/handle/123456789/11

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Author: search.filters.author.Kumar, ShaileshSubject: search.filters.subject.RNA-seq

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    AraNSdb: a dedicated database of stress-responsive non-coding RNAs in Arabidopsis thaliana
    (Springer Nature Publishing AG, 2026) Vivek, A.T.; Bhatia, Manika; Sahu, Namrata; Kalakoti, Garima; Kaushik, Love; Mukherjee, Kanka; Kumar, Shailesh
    Plants, as sessile organisms, are constantly exposed to biotic and abiotic stresses, making their ability to respond crucial for survival. Non-coding RNAs (ncRNAs) have emerged as key regulators in these stress responses, with several studies identifying numerous stress-responsive ncRNAs (SRNs). However, a comprehensive collection of SRNs derived from sequencing data in Arabidopsis thaliana has been lacking. To address this, we utilized high-throughput experimental data and mined published studies to construct AraNSdb (Arabidopsis ncRNA Stress Database), a systematic resource for storing and querying SRNs. AraNSdb documents over 1,000 expression profiles from diverse stress datasets, encompassing 6,616 SRNs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). The database features an intuitive web interface for exploring SRNs associated with specific stress types and provides detailed ncRNA annotations to support functional and regulatory studies. AraNSdb offers a valuable platform for advancing our understanding of ncRNA-mediated stress responses and is freely accessible at http://www.nipgr.ac.in/AraNSdb.
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    Computational methods for annotation of plant regulatory non-coding RNAs using RNA-seq
    (Oxford University Press, 2021) Vivek, A.T.; Kumar, Shailesh
    Plant transcriptome encompasses numerous endogenous, regulatory non-coding RNAs (ncRNAs) that play a major biological role in regulating key physiological mechanisms. While studies have shown that ncRNAs are extremely diverse and ubiquitous, the functions of the vast majority of ncRNAs are still unknown. With ever-increasing ncRNAs under study, it is essential to identify, categorize and annotate these ncRNAs on a genome-wide scale. The use of high-throughput RNA sequencing (RNA-seq) technologies provides a broader picture of the non-coding component of transcriptome, enabling the comprehensive identification and annotation of all major ncRNAs across samples. However, the detection of known and emerging class of ncRNAs from RNA-seq data demands complex computational methods owing to their unique as well as similar characteristics. Here, we discuss major plant endogenous, regulatory ncRNAs in an RNA sample followed by computational strategies applied to discover each class of ncRNAs using RNA-seq. We also provide a collection of relevant software packages and databases to present a comprehensive bioinformatics toolbox for plant ncRNA researchers. We assume that the discussions in this review will provide a rationale for the discovery of all major categories of plant ncRNAs.