Journal of Molecular BiologyMolecular BiologyPeer-reviewed journal article
Different low-complexity regions of SFPQ play distinct roles in the formation of biomolecular condensates
Andrew C. MarshalliD, Jerry CumminsiD, Simon Kobelke, Tianyi ZhuiD, Jocelyn WidagdoiD, Victor AnggonoiD, Anthony A. HymaniD, Archa H. FoxiD, Charles S. BondiD, Mihwa LeeiD
Abstract
Demixing of proteins and nucleic acids into condensed liquid phases is rapidly emerging as a ubiquitous mechanism governing the organisation of molecules within the cell. Long disordered low complexity regions (LCRs) are a common feature of proteins that form biomolecular condensates. RNA-binding proteins with prion-like composition have been highlighted as drivers of liquid demixing to form condensates such as nucleoli, paraspeckles and stress granules. Splicing factor proline- and glutamine-rich (SFPQ) is an RNA- and DNA-binding protein essential for DNA repair and paraspeckle formation. Here, we show that the shorter C-terminal LCR of SFPQ is the main region responsible for the condensation of SFPQ in vitro and in the cell. In contrast, we find that, unexpectedly, the longer N-terminal prion-like LCR of SFPQ attenuates condensation, suggesting a more regulatory role in preventing aberrant condensate formation in the cell. Our data add nuance to the emerging understanding of biomolecular condensate formation, by providing the first example of a common multifunctional nucleic acid-binding protein with an extensive prion-like region that serves to regulate rather than drive condensate formation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/518278v2_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@ed464dorg.highwire.dtl.DTLVardef@1a26fdcorg.highwire.dtl.DTLVardef@15debecorg.highwire.dtl.DTLVardef@12bd4ae_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: protein structure
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: experimental assay
- Citations
- 24
- FWCI
- 2.13
- Field percentile
- top 11%
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