pssRNAit

pssRNAit designs siRNAs using integrated plant transcript datasets and computational models to enable specific gene silencing in plants.


Key Features:

  • Integrated Transcript Dataset: Comprehensive transcript coverage from more than 160 plant species for target selection.
  • Computational Models and Rules: Simulates the RNAi pathway with gene silencing rules to prioritize siRNA specificity and efficacy.
  • Genome-wide Off-Target Assessment: Evaluates potential unintended interactions of designed siRNAs across homologous regions in plant genomes.
  • siRNA Pool Design: Produces siRNA pools intended for expression via virus-induced gene silencing (VIGS) or synthetic vectors.

Scientific Applications:

  • Functional Genomics Studies: Facilitates targeted gene silencing for studying gene function and trait improvement in plants.
  • Experimental Expression and Validation: Supports generation of siRNA pools for VIGS or synthetic vectors with validation by reverse transcription quantitative PCR (RT-qPCR) and RNA-sequencing-based transcriptome analysis.

Methodology:

Designs siRNAs from an integrated plant transcript dataset (>160 species), applies computational models simulating the RNAi pathway with gene silencing rules, and performs genome-wide off-target assessment.

Topics

Details

Added:
1/18/2021
Last Updated:
11/24/2024

Operations

Publications

Ahmed F, Senthil-Kumar M, Dai X, Ramu VS, Lee S, Mysore KS, Zhao PX. <i>pssRNAit</i>: A Web Server for Designing Effective and Specific Plant siRNAs with Genome-Wide Off-Target Assessment. Plant Physiology. 2020;184(1):65-81. doi:10.1104/pp.20.00293. PMID:32651189. PMCID:PMC7479913.

PMID: 32651189
Funding: - National Science Foundation: 0960897, 1458597 - Oklahoma Center for the Advancement of Science and Technology: PSB11–004