4.5 Article

Integrated multi-omics reveals common properties underlying stress granule and P-body formation

Journal

RNA BIOLOGY
Volume 18, Issue -, Pages 655-673

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/15476286.2021.1976986

Keywords

Stress granules; p-bodies; RNA fate; translational control; glucose depletion yeast

Funding

  1. Biotechnology and Biological Sciences Research Council [BB/P005594/1, BB/K005979/1, BB/N014049/1]
  2. Wellcome Tust PhD studentship [210002/Z/17/Z]

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This study systematically determined the protein and mRNA composition of P-bodies and stress granules before and after nutrient stress, revealing the existence of high molecular weight complexes as potential seeds for mature condensates. Shared proteins and RNA components between these biological condensates were identified, highlighting a complex interaction profile during their maturation process. The interaction networks represent a tunable response to stress, showcasing previously unrecognized condensate heterogeneity.
Non-membrane-bound compartments such as P-bodies (PBs) and stress granules (SGs) play important roles in the regulation of gene expression following environmental stresses. We have systematically and quantitatively determined the protein and mRNA composition of PBs and SGs formed before and after nutrient stress. We find that high molecular weight (HMW) complexes exist prior to glucose depletion that we propose may act as seeds for further condensation of proteins forming mature PBs and SGs. We identify an enrichment of proteins with low complexity and RNA binding domains, as well as long, structured mRNAs that are poorly translated following nutrient stress. Many proteins and mRNAs are shared between PBs and SGs including several multivalent RNA binding proteins that promote condensate interactions during liquid-liquid phase separation. We uncover numerous common protein and RNA components across PBs and SGs that support a complex interaction profile during the maturation of these biological condensates. These interaction networks represent a tuneable response to stress, highlighting previously unrecognized condensate heterogeneity. These studies therefore provide an integrated and quantitative understanding of the dynamic nature of key biological condensates.

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