Simple and rapid detection of tyrosinase activity with the adjustable light scattering properties of CoOOH nanoflakes.

Tyrosinase (TYR), as an important biological enzyme, has been widely used in synthetic biology, medical hairdressing, environmental detection, biological sensors, and other fields. In clinical practice, tyrosinase activity is an important indicator for detecting melanoma. Therefore, the detection of tyrosinase activity is of great importance. Based on the polyphenol oxidase activity of tyrosinase, a simple and rapid detection method was proposed based on the adjustable light scattering properties of cobalt hydroxyl oxide nanoflakes (CoOOH NFs). It was found that the amount and size of CoOOH NFs decreased due to the redox reaction mediated by catechol (CC), resulting in a lower light scattering signal of CoOOH NFs. However, in the presence of tyrosinase, catechol was oxidized to a quinone structure, resulting in the reduced decomposition of CoOOH NFs and recovered light scattering signal, which was developed for the quantitative detection of tyrosinase activity. It was found that in the range of 10-400 U/L, the light scattering intensity was correlated linearly with tyrosinase activity, and the limit of detection was 6.71 U/L (3σ/k). To verify the feasibility of the proposed method in clinical samples, the spiked recovery experiments were carried out with human serum samples, which showed recovery rates between 93.0% and 104.6%, suggesting the high accuracy. The proposed assay provides a simple and rapid method for detection of a natural enzyme based on the adjustable light scattering properties of CoOOH nanoflakes, which lays the foundation for the development of various enzyme sensing applications in the future.

miR-140-3p promotes follicle granulosa cell proliferation and steroid hormone synthesis via targeting AMH in chickens.

Granulosa cells (GCs) are the ovary's most critical cells since they undergo cell differentiation and hormone synthesis changes closely associated with follicle development. While micro RNA 140-3p (miRNA-140-3p) has an apparent cell signaling role, particularly in cell proliferation, its biological role in chicken ovarian follicle growth and development remains elusive. This study explored miR-140-3p's effects on chicken GC proliferation and steroid hormone synthesis. MiR-140-3p dramatically increased GC proliferation, prevented apoptosis, increased progesterone synthesis, and enhanced gene expression related to steroid hormone synthesis. In addition, the anti-Müllerian hormone (AMH) gene was identified as a direct miR-140-3p target. MiR-140-3p abundance correlated negatively with AMH mRNA and protein levels in GCs. Our findings show that miR-140-3p influences chicken GC proliferation and steroid hormone synthesis by suppressing AMH expression.

An integrative analysis of lncRNAs and mRNAs highlights the potential roles of lncRNAs in the process of follicle selection in Taihang chickens.

Taihang chickens are a domestic breed distributed throughout Hebei province in the Taihang Mountains of China and are characterized by their high meat and egg quality. However, the relatively limited egg production by this breed constrains their more widespread commercial utilization. The follicle selection process is closely linked to oocyte development and ovulation, making it a key determinant of laying performance and fecundity in hens. To understand the biological basis for such follicle selection and to identify the associated regulatory pathways, we conducted a genome-wide analysis of long noncoding RNAs (lncRNAs) and mRNAs from the pre-hierarchical follicles and hierarchical follicles of Taihang laying hens. We identified 81 lncRNAs and 528 mRNAs that were differentially expressed during follicle selection, and integrated network analyses suggested that these RNAs were associated with the cell cycle, focal adhesion, oocyte meiosis, peroxisome proliferator-activated receptor signaling, and steroid hormone biosynthesis pathways. The identified lncRNAs were also predicted to influence a series of target genes in cis and trans, suggesting that they may be important regulators of ovarian follicular development. Overall, the present analysis of lncRNA and mRNA expression patterns associated with ovarian follicle development offers a new foundation for future studies of reproductive physiology in Taihang chickens, highlighting new opportunities to improve the laying performance of this important domestic breed.

The restructure of Au@Ag nanorods for cell imaging with dark-field microscope.

The facile and noninjurious image of cells with high resolution and low toxicity is essential since imaging can offer rich and direct information and insights into metabolic activities, clinical diagnosis, drug delivery and cancer therapy. In this contribution, a smart imaging probe was employed as a contrast agent for dark-field cell imaging. Au core/Ag shell nanorods (Au@Ag NRs) that characterized by X-ray diffraction and X-ray photoelectron spectroscopy, formed Au@Ag@AgI NRs when exposed to iodine, which greatly enhanced the light scattering of nanorods. Herein, the silver shell acted as the response element for iodine as well as the protective agent for Au core. When conjugated with folate, the nanorods can be used to image human cervical cancer cells (HeLa cells) under a dark-field microscope. Nanorods were demonstrated with excellent tumor cellular uptake ability without obvious cytotoxicity, making them ideal candidates in biosensing and bioimaging applications.

Segmentation of retinal fluid based on deep learning: application of three-dimensional fully convolutional neural networks in optical coherence tomography images.

AIM: To explore a segmentation algorithm based on deep learning to achieve accurate diagnosis and treatment of patients with retinal fluid. METHODS: A two-dimensional (2D) fully convolutional network for retinal segmentation was employed. In order to solve the category imbalance in retinal optical coherence tomography (OCT) images, the network parameters and loss function based on the 2D fully convolutional network were modified. For this network, the correlations of corresponding positions among adjacent images in space are ignored. Thus, we proposed a three-dimensional (3D) fully convolutional network for segmentation in the retinal OCT images. RESULTS: The algorithm was evaluated according to segmentation accuracy, Kappa coefficient, and F1 score. For the 3D fully convolutional network proposed in this paper, the overall segmentation accuracy rate is 99.56%, Kappa coefficient is 98.47%, and F1 score of retinal fluid is 95.50%. CONCLUSION: The OCT image segmentation algorithm based on deep learning is primarily founded on the 2D convolutional network. The 3D network architecture proposed in this paper reduces the influence of category imbalance, realizes end-to-end segmentation of volume images, and achieves optimal segmentation results. The segmentation maps are practically the same as the manual annotations of doctors, and can provide doctors with more accurate diagnostic data.

Measuring a frequency spectrum for single-molecule interactions with a confined nanopore.

Nanopore analysis is a powerful technique for single molecule analysis by virtue of its electrochemically confined effects. As a single molecule translocates through the nanopore, the featured ionic current pattern on the time scale contains single molecule characteristics including volume, charge, and conformational properties. Although the characteristics of a single molecule in a nanopore have been written to the featured ionic current, extracting the dynamic information from a complex current trace is still a big challenge. Here, we present an applicable nanopore analysis method employing the Hilbert-Huang Transform (HHT) to study the vibrational features and interactions of a single molecule during the dynamic translocation process through the confined space of a nanopore. The HHT method is specially developed for analyzing nonlinear and non-stationary data that is highly compatible with nanopore data with a high frequency resolution. To provide proof-of-concept, we applied HHT to measure the frequency response for the wild-type (WT) aerolysin and mutant K238E aerolysin nanopores with and without the presence of poly(dA)4, respectively. The energy-frequency-time distribution spectra demonstrate that the biological nanopore contributes greatly to the characteristics of the high frequency component (>2 kHz) in the current recording. Our results suggest that poly(dA)4 undergoes relatively more consistent and confined interactions with K238E than WT, leading to a prolonging of the duration time. Therefore, the characteristics in frequency analysis could be regarded as an "single-molecule ionic spectrum" inside the nanopore, which encodes the detailed behaviours of single-molecule weak interactions.

A novel fluorescent probe based on rhodamine hydrazone derivatives bearing a thiophene group for Al³âº.

In the present work, a novel 5-methyl-thiophene-carbaldehyde-functionalized rhodamine 6G Schiff base (RA) was designed and easily prepared as an Al(3+) fluorescent and colorimetric probe, which could selectively and sensitively detect Al(3+) by showing enhanced fluorescence emission. Meanwhile distinct color variation from colorless to pink also provided 'naked eye' detection of Al(3+), due to the ring spirolactam opening of the rhodamine derivative. Other metal ions (including K(+), Mg(2+), Na(+), Ba(2+), Mn(2+), Cd(2+), Fe(2+), Ni(2+), Pb(2+), Zn(2+), Hg(2+), Co(2+), Li(+), Sr(2+) and Cu(2+)) could only induce limited interference. The detection limit of the fluorescent probe was estimated to be 4.17 × 10(-6) M, the binding constant of the RA-Al(3+) complex was 1.4 × 10(6) M(-1). Moreover, this fluorescent probe RA possessed high reversibility. As aluminum is a ubiquitous metal in nature and plays vital roles in many biological processes, this chemosensor could be explored for biological study applications.