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The photoluminescence response of a molecular beam epitaxy-grown InGaAsSb/AlGaAsSb multi-quantum well heterostructure is examined as a function of hydrostatic pressure up to 1.35 GPa at a cryogenic temperature of 10 K. Pressure is applied hydrostatically using a diamond anvil cell, within which the pressure is calibrated via ruby fluorescence. A systematic blue shift in the photoluminescence peak energy is observed, with a pressure coefficient of approximately 77 meV/GPa. The integrated photoluminescence intensity decreases systematically with pressure, indicating enhanced non-radiative recombination through a defect level located above the conduction band edge at atmospheric pressure that becomes electronically active at sufficiently high applied pressure. The strain in the quantum well is quantified using the Murnaghan equation of state, and the hydrostatic deformation potential is extracted from the energy-strain relation, yielding a value of a = −4.4 eV. These results provide insight into the pressure-induced modulation of the band structure in quaternary III–V heterostructures and its potential utility for defect studies to improve infrared cameras for advanced aviation. 

This record contains the datasets used to generate the figures in the manuscript titled “Pressure-Dependent Photoluminescence and Strain Response of a 1.7 μm Cutoff InGaAsSb/AlGaAsSb Multi-Quantum Well.” The datasets include pressure-dependent photoluminescence, peak energies and related strain values calculated using the Murnaghan equation of state. These data support the analysis of the pressure-induced PL energy shift and strain response of the multi-quantum-well structure measured at 10 K." 

The optical constants of strain-balanced InAs/InAsSb and InGaAs/InAsSb superlattices and their constituents GaAs, GaSb, InAs, InSb, and InAsSb are measured using spectroscopic ellipsometry. An optical constant model is developed that accurately describes the index of refraction and absorption coefficient in the vicinity of the fundamental bandgap of these III–V materials. The model describes the spectral shape of the absorption edge in terms of bandgap energy, below-bandgap Urbach absorption tail, and above-bandgap power law. The index of refraction in the vicinity of the bandgap is described using Kramers–Kronig integration over the absorption edge. In the analysis, an optical structure model that comprises the sample layer structure and optical constants is constructed to simulate the reflection of polarized light from the sample surface. The optical constant model is implemented within the optical structure model and fit to the measured ellipsometric data with the optical constants of the layer of interest as best-fit parameters. The superlattice measurements exhibit spurious periodic peaks in the optical constants extracted using the point-by-point fit method. Multi-sample analysis of identical midwave superlattices grown at different thicknesses significantly reduces the presence of the spurious peaks and, in general, improves the optical constant fit and the extraction of the absorption edge parameters. In comparing superlattice results, the InGaAs/InAsSb superlattices have a shorter period, demonstrate stronger absorption due to greater electron–hole wavefunction overlap, and exhibit broader absorption tails as a result of greater alloy and interface disorder. 

Background Prostate cancer (PCa) is one of the leading causes of cancer death in men. While prostate-specific antigen (PSA) testing is widely used for screening, its diagnostic accuracy is limited, often failing to distinguish between benign and malignant prostate conditions, underscoring the need for novel biomarkers with improved diagnostic performance. This study aimed to identify and validate a panel of urinary RNA biomarkers with improved diagnostic accuracy for PCa. Methods RNA-sequencing analysis of exfoliated cells in urine specimens identified 50 candidate RNAs. After initial qPCR testing in pooled urine, three biomarkers (TTC3, H4C5, EPCAM) with optimal specificity and sensitivity were selected as a biomarker panel. Diagnostic performance was evaluated in a case–control study divided into development (n = 243 participants) and validation (n = 646 participants) datasets. Biomarker expression was confirmed in tissue specimens, and the oncogenic function of TTC3 was assessed in vitro and in vivo. Findings The three-biomarker urine panel robustly identified PCa with an area under the curve (AUC) of 0.96 (95% CI: 0.94–0.98) compared to 0.83 (95% CI: 0.77–0.88) for urinary prostate cancer antigen 3 (PCA3) RNA in the development dataset and 0.92 (95% CI: 0.89–0.94) compared to 0.76 (95% CI: 0.72–0.80) for PCA3 in the validation dataset. Urine biomarkers were nearly eliminated post-prostatectomy and were confirmed to originate from prostate tissue at both the RNA and protein levels. The panel maintained high diagnostic accuracy of PSA-negative PCa cases and distinguished PCa from benign prostate conditions (BPH, prostatitis). Functional studies demonstrated that TTC3 depletion significantly suppressed in vitro and in vivo tumour growth. Interpretation This urine-based biomarker panel offers a promising sensitive and specific noninvasive diagnostic for PCa with the potential to form the basis for laboratory-developed and in vitro diagnostic assays. 

Abstract Trichodermafungi support sustainable agriculture by suppressing plant diseases and improving crop performance. However, emerging pathogenicity ofTrichodermawarrants further ecological and genetic characterization. Here we used machine learning to correlate genomic data from 37Trichodermastrains with over 140 phenotypic traits, spanning metabolic versatility, biotic interactions, stress tolerance and reproductive strategies. We determinedTrichodermato be an ancient, genetically cohesive and physiologically diverse genus with spores capable of germination in water and dispersal via air and water droplets. Metabolic preferences indicate universal adaptation to mycoparasitism and to niches like arboreal microbial mats, alongside broader saprotrophic versatility. Our analyses are consistent with character displacement among close relatives and convergent evolution in distant lineages, with both processes shaping ecological plasticity and traits including dispersal modes, terrestrialization or endophytism. Our findings reveal that while someTrichodermaspecies show traits of biosafety concern, its vast ecophysiological diversity enables the development of safe, targeted bioeffectors. 

ABSTRACT Tissue identity determination is crucial for regeneration, and the planarian anteroposterior (AP) axis uses positional control genes expressed from body wall muscle to determine body regionalization. Canonical Wnt signaling establishes anterior versus posterior pole identities through notum and wnt1 signaling, and two Wnt/FGFRL signaling pathways control head and trunk domains, but their downstream signaling mechanisms are not fully understood. Here, we identify a planarian Src homolog that restricts head and trunk identities to anterior positions. src-1(RNAi) animals formed enlarged brains and ectopic eyes and also duplicated trunk tissue, similar to a combination of Wnt/FGFRL RNAi phenotypes. src-1 was required for establishing territories of positional control gene expression in Schmidtea mediterranea, indicating that it acts at an upstream step in patterning the AP axis. Double RNAi experiments and eye regeneration assays suggest src-1 can act in parallel to at least some Wnt and FGFRL factors. Co-inhibition of src-1 with other posterior-promoting factors led to dramatic patterning changes and a reprogramming of Wnt/FGFRLs into controlling new positional outputs. These results identify src-1 as a factor that promotes robustness of the AP positional system that instructs appropriate regeneration.