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Bialobrzewski, M. K.

Publications and source records attributed to Bialobrzewski, M. K..

3 recordsLinked to original sources

GW182 silencing domain engages the tristetraprolin-binding pocket of CNOT1 to recruit CNOT1 into multiprotein condensates

GW182 recruits the CCR4-NOT deadenylase complex through its CIM1 region, yet the CNOT1 surface mediating this interaction has remained unknown. Using hydrogen- deuterium exchange mass spectrometry, we map CIM1 binding to a hydrophobic groove within CNOT1 residues 800-999. Unexpectedly, this groove coincides with the tristetraprolin (TTP)-binding pocket. CIM1 and the C-terminal TTP peptide engage this surface through a shared RL(P/{zeta})X{Omega} sequence pattern despite lacking overall homology, suggesting a convergently evolved short linear motif (SLiM). We further show that the GW182 silencing domain (GW182 SD) and TTP compete for CNOT1 binding using orthogonal in vitro assays, including a reconstituted liquid-liquid phase separation system in which GW182 SD acts as a scaffold and recruits CNOT1 as a client through specific binding. These findings define a shared CNOT1 recognition site and reveal SLiM-mediated competition as a molecular principle governing CCR4-NOT engagement, with consequences for GW182-driven silencing condensate assembly in vitro. SignificanceGW182 silencing domain binds the tristetraprolin pocket of CNOT1 and recruits it into multiprotein condensates, providing a biophysical framework for coordinated miRNA- and ARE-mediated gene expression regulation.

biophysics↗

Hydrodynamic Radii of Intrinsically Disordered Proteins: Fast Prediction by Minimum Dissipation Approximation and Experimental Validation

The diffusion coefficients of globular and fully unfolded proteins can be predicted with high accuracy solely from their mass or chain length. However, this approach fails for intrinsically disordered proteins (IDPs) containing structural domains. We propose a rapid predictive methodology for estimating the diffusion coefficients of IDPs. The methodology uses accelerated conformational sampling based on self-avoiding random walks and includes hydrodynamic interactions between coarse-grained protein subunits, modeled using the generalized Rotne-Prager-Yamakawa approximation. To estimate the hydrodynamic radius, we rely on the minimum dissipation approximation recently introduced by Cichocki et al. Using a large set of experimentally measured hydrodynamic radii of IDPs over a wide range of chain lengths and domain contributions, we demonstrate that our predictions are more accurate than the Kirkwood approximation and phenomenological approaches. Our technique may prove valuable in predicting the hydrodynamic properties of both fully unstructured and multidomain disordered proteins. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/578612v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1e2943aorg.highwire.dtl.DTLVardef@7193c8org.highwire.dtl.DTLVardef@9d5bceorg.highwire.dtl.DTLVardef@f64f72_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

Diversity of hydrodynamic radii of intrinsically disordered proteins

Intrinsically disordered proteins (IDPs) form an important class of biomolecules regulating biological processes in higher organisms. The lack of a fixed spatial structure facilitates them to perform their regulatory functions. Due to the possibility of large conformational changes of IDPs, the cellular milieu can also control productivity of biochemical reactions. From the biophysical point of view, IDPs are biopolymers with a broad configuration state space. The conformation of such a biopolymer depends on non-covalent interactions of its amino acid side chain groups at given temperature and chemical conditions. Thus, the hydrodynamic radius (Rh) of an IDP of a given polymer length (N) is a sequence- and environment-dependent variable. We have reviewed the literature values of hydrodynamic radii of IDPs determined experimentally by SEC, AUC, PFG NMR, DLS, and FCS, and complement them with our FCS results obtained for a series of protein fragments involved in regulation of human gene expression. The data collected herein show that the values of hydrodynamic radii of intrinsically disordered proteins can span the full space between the folded globular and denatured proteins in the Rh(N) diagram.

biophysics↗