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Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Related Experiment Video

Updated: Dec 8, 2025

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq

Published on: July 10, 2019

New developments in RiPP discovery, enzymology and engineering.

Manuel Montalbán-López¹, Thomas A Scott, Sangeetha Ramesh

¹Department of Microbiology, University of Granada, Spain.

Natural Product Reports

|September 16, 2020

Summary

Ribosomally-synthesized and post-translationally modified peptides (RiPPs) are diverse natural products. Recent advances have significantly improved understanding of RiPP biosynthesis, engineering, and discovery using bioinformatics.

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Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq

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Method for the Isolation and Identification of mRNAs, microRNAs and Protein Components of Ribonucleoprotein Complexes from Cell Extracts using RIP-Chip

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Area of Science:

Natural Product Biosynthesis
Biotechnology
Bioinformatics

Background:

Ribosomally-synthesized and post-translationally modified peptides (RiPPs) represent a vast class of natural products.
A 2013 review highlighted commonalities in RiPP biosynthesis and potential for bioengineering and genome mining.
Significant progress has been made since 2013 in understanding RiPP assembly and applications.

Purpose of the Study:

To review recent advancements in the field of RiPPs since 2013.
To discuss new RiPP classes, post-translational modification mechanisms, and enzyme-substrate recognition.
To cover genome mining tools and engineering strategies for RiPPs.

Main Methods:

Literature review of developments up to June 2020.
Analysis of new RiPP classes and biosynthetic pathways.
Discussion of bioinformatic tools for RiPP discovery and engineering strategies.

Main Results:

Discovery of novel RiPP families.
Enhanced understanding of primary and secondary post-translational modifications.
Improved insights into leader peptide recognition by modifying enzymes.
Advancements in genome mining and RiPP engineering.

Conclusions:

The field of RiPPs has experienced substantial growth since 2013.
New discoveries and improved methodologies continue to expand the potential of RiPPs in various applications.
Future research directions include further exploration of RiPP diversity and bioengineering applications.