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The accurate targeting of proteins to their designated cellular compartments is essential for maintaining proper cellular architecture and function. However, interpreting and sorting the highly variable targeting sequences in secreted and membrane proteins present a substantial challenge for achieving precise localization within the secretory pathway. In this study, we demonstrate that atypical signal sequences, characterized by high hydrophobicity and/or the absence of characteristic charges, are recognized by the signal recognition particle and targeted to the endoplasmic reticulum in a reverse orientation. These misoriented signal sequences are subsequently dislocated by the P5A-ATPase ATP13A1 and delivered to SEC61 for further translocation. Using cryo-electron microscopy, we determined the structures of human ATP13A1 in multiple conformations (3.40- to 3.87-angstrom resolution), revealing key residues within its substrate-binding pocket that engage signal sequences through polar interactions. Collectively, our findings elucidate a comprehensive, substrate-specific translocation pathway that ensures both high efficiency and fidelity in protein subcellular localization.
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http://dx.doi.org/10.1126/sciadv.adt1346 | DOI Listing |
Anal Chem
September 2025
Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological and Chemical Engineering, Jiaxing University, Jiaxing 314001, China.
Despite the promise of electrochemical biosensors in amplified nucleic acid diagnostics, existing high-sensitivity platforms often rely on a multilayer surface assembly and cascade amplification confined to the electrode interface. These stepwise strategies suffer from inefficient enzyme activity, poor mass transport, and inconsistent probe orientation, which compromise the amplification efficiency, reproducibility, and practical applicability. To address these limitations, we report a programmable dual-phase electrochemical biosensing system that decouples amplification from signal transduction.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Life-like Materials and Systems, University of Mainz, Duesbergweg 10-14, 55128 Mainz, Germany.
Transmembrane signaling is essential for cellular communication, yet reconstituting such mechanisms in synthetic systems remains challenging. Here, we report a simple and robust DNA-based mechanism for transmembrane signaling in synthetic cells using cholesterol-modified single-stranded DNA (Chol-ssDNA). We discovered that anchored Chol-ssDNA spontaneously flips across the membrane of giant unilamellar lipid vesicles (GUVs) in a nucleation-driven, defect-mediated process.
View Article and Find Full Text PDFAnal Chem
September 2025
Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710062, P. R. China.
Electrogenerated chemiluminescence (ECL) methods have been widely used in clinical diagnosis. Although ECL peptide-based biosensors continue to grow with good sensitivity and signal flexibility, little emphasis has been placed on the effect of the peptide sequence on ECL sensitivity. We herein studied the nuanced effects of different peptide sequences on the analytical performance of ECL peptide-based biosensors for matrix metalloproteinase 2 (MMP-2) assay, in which [(pbz)Ir(DMSO)Cl] (pbz = 3-(2-pyridyl)benzoic acid) was used as the ECL emitter while a specific peptide was used as the molecular recognition element.
View Article and Find Full Text PDFBrief Bioinform
August 2025
School of Information and Artificial Intelligence, Anhui Agricultural University, 130 Changjiang Road, Shushan District, Hefei, Anhui 230036, China.
Protein-nucleic acid binding sites play a crucial role in biological processes such as gene expression, signal transduction, replication, and transcription. In recent years, with the development of artificial intelligence, protein language models, graph neural networks, and transformer architectures have been adopted to develop both structure-based and sequence-based predictive models. Structure-based methods benefit from the spatial relationship between residues and have shown promising performance.
View Article and Find Full Text PDFImaging Neurosci (Camb)
September 2025
Graduate School of Human and Environmental Studies, Kyoto University, Sakyo-ku, Kyoto, Japan.
Time perception is an essential aspect of daily life, and transitional probabilities can be learned based on temporal durations that are independent of individual objects. Previous studies on temporal and spatial visual statistical learning (VSL) have shown that the hippocampus and lateral occipital cortex are engaged in learning visual regularities. However, it remains unclear whether VSL on temporal duration unlinked to object identity is represented in brain regions involved in VSL and object recognition or in those involved in time perception without sensory cortex involvement.
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