4.6 Review

The World of Stable Ribonucleoproteins and Its Mapping With Grad-Seq and Related Approaches

Journal

FRONTIERS IN MOLECULAR BIOSCIENCES
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2021.661448

Keywords

ribonucleoprotein; complexomics; Grad-seq; RNA-binding protein; noncoding RNA; sRNA; ProQ; FinO domain

Funding

  1. CNRS
  2. University of Strasbourg through the Programme Investissement d'Avenir [ANR-10-IDEX-0002-02]
  3. University of Strasbourg Insitute for Advanced Study [USIAS-2020-021]
  4. LabEx MitoCross

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Macromolecular complexes of proteins and RNAs are essential building blocks of cells, and their structural organization is directly linked to biological function. Grad-seq method separates cellular protein and RNA complexes and quantifies their distributions for a comprehensive understanding of molecular assemblies in cells.
Macromolecular complexes of proteins and RNAs are essential building blocks of cells. These stable supramolecular particles can be viewed as minimal biochemical units whose structural organization, i.e., the way the RNA and the protein interact with each other, is directly linked to their biological function. Whether those are dynamic regulatory ribonucleoproteins (RNPs) or integrated molecular machines involved in gene expression, the comprehensive knowledge of these units is critical to our understanding of key molecular mechanisms and cell physiology phenomena. Such is the goal of diverse complexomic approaches and in particular of the recently developed gradient profiling by sequencing (Grad-seq). By separating cellular protein and RNA complexes on a density gradient and quantifying their distributions genome-wide by mass spectrometry and deep sequencing, Grad-seq charts global landscapes of native macromolecular assemblies. In this review, we propose a function-based ontology of stable RNPs and discuss how Grad-seq and related approaches transformed our perspective of bacterial and eukaryotic ribonucleoproteins by guiding the discovery of new RNA-binding proteins and unusual classes of noncoding RNAs. We highlight some methodological aspects and developments that permit to further boost the power of this technique and to look for exciting new biology in understudied and challenging biological models.

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