Related Experiment Video
Updated: Dec 26, 2025

06:34
A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
8.7K
sRIS: A Small RNA Illustration System for Plant Next-Generation Sequencing Data Analysis
Kuan-Chieh Tseng1, Yi-Fan Chiang-Hsieh2, Hsuan Pai3
1Department of Life Sciences, National Cheng Kung University, Tainan 701, Taiwan.
Plant & Cell Physiology
|March 18, 2020
Summary
A new bioinformatics system, Small RNA Illustration System (sRIS), aids in analyzing plant small RNAs (sRNAs) and predicting their targets. This tool helps uncover host-virus interactions and synergistic viral effects, improving gene expression regulation studies.
Area of Science:
- Plant molecular biology
- Bioinformatics
- Genomics
Background:
- Small RNAs (sRNAs), including microRNAs (miRNAs) and short interfering RNAs, regulate gene expression in plants by degrading target messenger RNAs (mRNAs).
- Next-generation sequencing (NGS) has advanced the study of plant sRNA regulatory pathways, leading to the development of numerous bioinformatics tools.
- Existing bioinformatics tools primarily focus on sRNA expression profiling and novel miRNA prediction, often lacking integrated analysis of sRNA target genes, which hinders the study of host-virus interactions.
Purpose of the Study:
- To develop a comprehensive bioinformatics system, the Small RNA Illustration System (sRIS), for detailed analysis of plant sRNAs and their targets.
- To enable the identification of interaction mechanisms between hosts and viruses, as well as synergistic effects between multiple viruses.
- To facilitate easier retrieval and access to analysis outputs, including figures and tables, for efficient result interpretation.
Main Methods:
- Development of the Small RNA Illustration System (sRIS) with two core components: sRNA overview analysis and sRNA target prediction.
- The sRNA overview analysis component identifies miRNAs and investigates virus-derived small interfering RNAs.
- The sRNA target prediction component integrates bioinformatics calculations with degradome sequencing data to enhance prediction accuracy.
Main Results:
- The sRIS system provides a comprehensive platform for analyzing plant sRNAs, including miRNA identification and virus-derived small interfering RNA investigation.
- The system enhances sRNA target prediction accuracy by combining computational methods with experimental degradome sequencing data.
- sRIS facilitates the visualization and quantification of results through easily accessible figures and tables, streamlining data interpretation.
Conclusions:
- The Small RNA Illustration System (sRIS) addresses the limitations of existing tools by integrating sRNA expression analysis with accurate target prediction.
- sRIS is a valuable resource for researchers studying gene expression regulation, host-virus interactions, and synergistic viral effects in plants.
- The system's user-friendly design and comprehensive analysis capabilities make it an efficient tool for plant sRNA research.
More Related Videos
Related Concept Videos
RNA-seq
11.6K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.6K
Next-generation Sequencing
97.3K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
97.3K

