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Yue, K.

Publications and source records attributed to Yue, K..

3 recordsLinked to original sources

Transient Poly(ADP-Ribose) Triggers FUS Condensation Hysteresis via a Prion-Like Mechanism

Hysteresis--where a system retains memory of a transient stimulus--is common in signaling but can also arise in intracellular organization. DNA repair foci, a type of biomolecular condensate, are initiated by the short-lived noncanonical nucleic acid poly(ADP-ribose) (PAR). PAR recruits proteins with prion-like domains (PrLDs), such as Fused in Sarcoma (FUS), and initiates their condensation, which persists even after PAR degradation. How FUS transitions from PAR-dependent to PAR-independent condensation remains unclear. Here, we show that PAR binding triggers a conformational switch in FUS, enabling sustained condensation. PAR binds to the C-terminal arginine-rich region of FUS, displacing intramolecular contacts, and exposing the N-terminal PrLD. This conformational opening allows PrLD interactions in trans, stabilizing condensates independently of PAR. FUS thus undergoes a regulated, nucleated conformational conversion--reminiscent of classical prions. This mechanism implies a paradigm of nucleic acid-induced conformational memory that may underlie hysteresis in intracellular organization in health and disease. HIGHLIGHTS[bullet] PAR-initiated FUS condensation follows a bi-modular mechanism involving both FUS termini. [bullet]Simulations predict and experiments confirm PAR disrupts FUS intramolecular contacts. [bullet]Upon condensation, FUS adopts a conformation with its N-terminus open for interactions. [bullet]N-terminal interactions maintain FUS condensation when PAR degrades during DNA repair.

molecular biology↗

Unraveling Alzheimer's Disease: Investigating Dynamic Functional Connectivity in the Default Mode Network through DCC-GARCH Modeling

Alzheimers disease (AD) has a prolonged latent phase. Sensitive biomarkers of amyloid beta (A{beta}), in the absence of clinical symptoms, offer opportunities for early detection and identification of patients at risk. Current A{beta} biomarkers, such as CSF and PET biomarkers, are effective but face practical limitations due to high cost and limited availability. Recent blood plasma biomarkers, though accessible, still incur high costs and lack physiological significance in the Alzheimers process. This study explores the potential of brain functional connectivity (FC) alterations associated with AD pathology as a non-invasive avenue for A{beta} detection. While current stationary FC measurements lack sensitivity at the single-subject level, our investigation focuses on dynamic FC using resting-state functional MRI (rs-fMRI) and introduces the Generalized Auto-Regressive Conditional Heteroscedastic Dynamic Conditional Correlation (DCC-GARCH) model. Our findings demonstrate the superior sensitivity of DCC-GARCH to CSF A{beta} status, and offer key insights into dynamic functional connectivity analysis in AD.

neuroscience↗

REHE: Fast Variance Components Estimation for Linear Mixed Models

AO_SCPLOWBSTRACTC_SCPLOWLinear mixed models are widely used in ecological and biological applications, especially in genetic studies. Reliable estimation of variance components is crucial for using linear mixed models. However, standard methods, such as the restricted maximum likelihood (REML), are computationally inefficient and may be unstable with small samples. Other commonly used methods, such as the Haseman-Elston (HE) regression, may yield negative estimates of variances. Utilizing regularized estimation strategies, we propose the restricted Haseman-Elston (REHE) regression and REHE with resampling (reREHE) estimators, along with an inference framework for REHE, as fast and robust alternatives that provide non-negative estimates with comparable accuracy to REML. The merits of REHE are illustrated using real data and benchmark simulation studies.

genetics↗