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Proteins with internal repeats (PIRs) are the second most abundant class of fungal cell wall resident proteins. In yeasts, PIRs preserve the stability of the cell wall under stressful conditions. They are characterized by conserved N-terminal amino acid sequences repeated in tandem (PIR motifs), and a cysteine (Cys)-rich C-terminal domain. PIRs have been identified in several filamentous fungi genomes; however, they have not been studied beyond yeasts. In this work, the diversity, evolution, and biological role of PIRs, with a particular focus on a new PIRs class, was addressed. Bioinformatic inference of PIRs in fungi indicated they were an innovation in Ascomycota. Predicted PIRs clustered in two main groups: classical yeasts PIRs (N-terminal PIR motifs; C-terminal Cys-rich domain), and PIRs from filamentous fungi with an inverted architecture (N-terminal Cys-rich domain; C-terminal PIR motifs), which could harbor additional glycosylphosphatidylinositol (GPI) addition-signals. As representatives of the second group, Neurospora crassa (Nc) PIR-1 (NCU04033) and PIR-2 (NCU07569) were studied. Confocal microscopy of eGFP-labeled Nc PIR-1 and Nc PIR-2 revealed they accumulate in apical plugs; additionally, PIR-1 requires the Kex2 processing site for correct maturation and harbors a predicted GPI modification signal. Moreover, Nc Δpir-1 and Δpir-2 single mutants showed a growth rate similar to that of Nc wild-type (WT), but the double mutant Nc Δpir-1/Δpir-2 grew significantly slower. Similarly, Nc Δpir-1 and Nc Δpir-2 were mildly sensitive to calcofluor white, although Nc Δpir-1/Δpir-2 double mutant was severely impaired. Despite the inverted architecture of Nc PIR-1 and Nc PIR-2, they maintain a role as cell wall stabilizers like classical yeast PIRs.
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http://dx.doi.org/10.1111/febs.70020 | DOI Listing |
Angew Chem Int Ed Engl
September 2025
Key Lab for Special Functional Materials of Ministry of Education, National & Local Joint Engineering Research Center for High-efficiency Display and Lighting Technology, School of Nanoscience and Materials Engineering, and Collaborative Innovation Center of Nano Functional Materials and Application
Metal halide perovskite solar cells (PSCs) hold promise for next-generation photovoltaics but are restricted by suboptimal efficiency and poor long-term stability. In inverted PSC architectures, self-assembled monolayers (SAMs) are widely employed as hole-selective layers (HSLs) due to their favorable energy-level alignment and negligible parasitic absorption. However, traditional SAMs often exhibit weak intermolecular interactions, leading to film aggregation, poor interfacial contact, and severe nonradiative recombination.
View Article and Find Full Text PDFSci Rep
September 2025
College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China.
Accurate segmentation of malocclusion is crucial in orthodontic diagnosis and treatment planning, but existing deep learning methods seriously affect the reliability of clinical applications due to poor robustness and feature confusion between neighboring tooth classes when dealing with malocclusion. To address this problem, a U-shaped 3D dental model segmentation method based on hierarchical feature guidance is proposed. First, a feature-guided deep encoder architecture is constructed, which introduces a normalization method that combines the local mean with the global standard deviation.
View Article and Find Full Text PDFJ Mammary Gland Biol Neoplasia
September 2025
Institute of Molecular Genetics of the Czech Academy of Sciences, Videnska 1083, Prague, 142 20, Czech Republic.
The mammary gland is a dynamic organ whose parenchyma undergoes major development during puberty and extensive remodeling with each estrous cycle. These processes can be modelled and investigated in vitro via 3D cell culture techniques that employ specialized extracellular matrices and appropriate growth factors. The resulting mammary organoid cultures faithfully represent the mammary gland with respect to cellular heterogeneity, cell-cell contacts, overall architecture as well as response to growth factor stimuli and are amendable to a variety of molecular methods as well as microscopy techniques.
View Article and Find Full Text PDFJ Colloid Interface Sci
August 2025
International Joint Research Center for Optoelectronic and Energy Materials, Yunnan Key Laboratory of Carbon Neutrality and Green Low-carbon Technologies, Yunnan Key Laboratory for Micro/Nano Materials & Technology, Southwest United Graduate School, School of Materials and Energy, Yunnan University,
The uncontrolled rapid crystallization inherent in one-step solution process for perovskite films preparation often results in poor crystalline quality and compromised stability, presenting a major obstacle to achieving high-performance perovskite solar cells (PSCs). To overcome this challenge, we propose a multifunctional additive strategy employing Sulfalene (SL), a sulfonyl-based molecule with dual π-conjugated rings, to precisely regulate crystallization dynamics and produce a high-quality crystalline perovskite film. Experimental results show that the electron-rich oxygen atoms in SL form robust coordination bonds with undercoordinated Pb, effectively modulating crystallization dynamics and extending the crystallization process.
View Article and Find Full Text PDFNanomaterials (Basel)
August 2025
State Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China.
Metal halide perovskites have appeared as a promising semiconductor for high-efficiency and low-cost photovoltaic technologies. However, their performance and long-term stability are dramatically constrained by defects at the surface and grain boundaries of polycrystalline perovskite films formed during the processing. Herein, we propose a defect-targeted passivation strategy using 2-chlorocinnamic acid (2-Cl) to simultaneously enhance the efficiency and stability of perovskite solar cells (PSCs).
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