SMS-seq

SMS-seq profiles RNA secondary and tertiary structure at single-molecule resolution by combining enzymatic or chemical probing with native RNA sequencing to capture non-amplified structural profiles and reveal structural heterogeneity.


Key Features:

  • Single-molecule resolution: Enables interrogation of individual RNA molecules to reveal structural heterogeneity and intra-molecular dependencies.
  • Comprehensive structural profiling: Employs enzymatic or chemical probing across numerous bases to map secondary structure throughout transcripts.
  • Detection of tertiary interactions and dynamics: Captures tertiary interactions relevant to riboswitch ligand binding and complex three-dimensional RNA configurations, including mRNA features.
  • Novel analysis methods: Applies mutual information–based analysis to detect dependencies and heterogeneity in single-molecule structural data.

Scientific Applications:

  • Transcriptome-wide structural mapping: Produces per-molecule structural profiles for transcriptome-scale studies of RNA structure and function.
  • Study of structural heterogeneity: Enables analysis of variation in secondary and tertiary structure across molecules within a population.
  • Investigation of riboswitches and ligand interactions: Captures dynamics of riboswitch ligand binding and other ligand-dependent tertiary interactions.
  • Exploration of mRNA structural features: Characterizes mRNA structural motifs implicated in post-transcriptional regulation.

Methodology:

Computational analysis of single-molecule native RNA sequencing and probing data using mutual information to interpret dependencies and structural heterogeneity.

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, Shell
Added:
10/30/2022
Last Updated:
11/24/2024

Operations

Publications

Bizuayehu TT, Labun K, Jakubec M, Jefimov K, Niazi AM, Valen E. Long-read single-molecule RNA structure sequencing using nanopore. Nucleic Acids Research. 2022;50(20):e120-e120. doi:10.1093/nar/gkac775. PMID:36166000. PMCID:PMC9723614.

PMID: 36166000
PMCID: PMC9723614
Funding: - Norwegian Research Council: 250049