Wu, Y.-X. | bioRxiv Science

bioRxiv2026

Cardiac oxidative stress monitoring enabled by hierarchical mechanical adaptation

Soft bioelectronics have advanced cardiac monitoring through electrophysiological tracking, yet this alone cannot resolve the metabolic pathology essential to surgical decision-making. However, real-time molecular sensing on beating hearts remains unresolved due to deformation-induced sensor failure and stress-induced metabolite artifacts. This challenge is exemplified by ischemia-reperfusion injury (IRI), a major cardiac surgery complication characterized by reactive oxidative species (ROS) bursts, where true pathological ROS signals being confounded by mechanotransduction-induced ROS artifacts. Herein, we propose an enzymatic cardiac oxidative stress biosensor (E-cardiac) with hierarchical mechanical adaptation: macro-scale biofluid-mediated contact, micro-scale fiber reorganization, and nano-scale enzymatic confinement within gold nanoarches dissipate interfacial stress. This produces ultrathin ([~]460 nm), soft (0.79 kPa) E-cardiac with robust electrochemical stability (100% strain), low detection limit (380 nM), rapid adhesion (<3 s), stable biosensing on beating heart, as well as minimal invasive deployment capability. Mechanical analysis and cellular studies confirm mitigated stress-induced ROS and absent PIEZO channel activation. Validated across cardiomyocytes, ex vivo tissues, multi-species ischemia models (mouse, rat, rabbit, pig), rat ischemia-reperfusion injury, and Langendorff hearts simulating graded perfusion deficits, E-cardiac quantitatively differentiates IRI severity (sham < ischemia < reperfusion) as well as detecting the "ECG blind window". The E-cardiac platform provides real-time metabolic feedback for surgical guidance during cardiac procedures, enabling timely intervention before irreversible damage.

bioengineering↗

bioRxiv2025

Longitudinal and large-scale monitoring of transcriptome and RBP-RNA interactome in living cells by engineered protein nanocages

Nondestructive sequencing of RNA from live cells is essential for monitoring and understanding dynamic biological processes. However, most existing RNA sequencing methods rely on cell lysis or fixation, limiting their applicability for longitudinal studies. Here, we introduce POND-seq (Protein nanocage-empOwered Non-Destructive sequencing), a novel approach that employs secretory protein nanocages fused with RNA-binding proteins (RBPs) to capture the RBP-RNA interactome and transcriptome in live cells. POND-seq reliably identifies RNA targets of canonical RBPs across multiple cell types. By fusing poly(A)-binding protein (PABPC1) to the nanocage, we demonstrate that POND-seq can monitor transcriptomic changes in response to signaling stimuli and selectively capture cell-type-specific transcriptomes from mixed populations. Additionally, POND-seq facilitates the dissection of RNA-binding domains and key amino acid residues critical for RBP-RNA interactions. We further highlight its utility in large-scale screening, offering compelling evidence for the pathogenicity of FMR1 variants. POND-seq represents a transformative advancement in RNA biology, cell biology and precision medicine, enabling unprecedented insights into cellular dynamics and disease mechanisms.

molecular biology↗